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Plan and execute safe refactors — break down a big file, untangle architecture — without breaking behavior.
Refactoring is risky when you do it blind. These prompts produce a step-by-step plan for breaking down a large file or untangling an architecture, with behavior-preserving changes ordered so you can ship them incrementally. They focus on a safe sequence and clear checkpoints rather than a single risky rewrite. Each is attached to a real project and runs on your own key.
Dogfooding: this project uses its own product concept.
Dogfooding: this project uses its own product concept.
Advanced AI agent memory system with hybrid search (BM25 + vector), Cohere reranking, embedding cache, and incremental sync. ChromaDB + Ollama backed, 100% self-hosted (Cohere reranking optional). Use when managing agent long-term memory, indexing memory files, running memory health checks, or searching agent memories with hybrid retrieval.
This file provides guidance to AI coding agents when working with code in this repository.
Guide for working on the Acolyte codebase. Use when building features, fixing bugs, or extending Acolyte itself.
Acolyte is a terminal-first AI coding agent: local-first, observable, extensible. Read docs/architecture.md before working on unfamiliar subsystems.
This repository contains the code for OpenHands, an automated AI software engineer. It has a Python backend (in the openhands directory) and React frontend (in the frontend directory).
Project Overview [What does this project do? Who uses it? Why does it exist?]
Single-file project: everything lives in amux-server.py (Python server + inline HTML/CSS/JS dashboard).
You are Claude Code, an AI coding assistant by Anthropic. You help users with software engineering tasks including writing code, debugging, refactoring, explaining code, running commands, and managing projects.
AGENTS.md — CrewAI Reference for AI Coding Assistants
- Prefer HttpClient.HttpClient / HttpClientResponse.HttpClientResponse over web fetch / Response at package boundaries. - Use Stream.Stream for streaming data flow. Avoid ad hoc async generators or manual web reader loops unless an Effect Stream API cannot model the behavior. - Use Effect Schema codecs for JSON encode/decode (Schema.fromJsonString(...)) instead of direct JSON.p
This folder owns Core's one local tool representation, process and Location registration, effective lookup, and settlement.
- To regenerate the JavaScript SDK, run ./packages/sdk/js/script/build.ts. - The default branch in this repo is dev. - Local main ref may not exist; use dev or origin/dev for diffs.
Web automation and browser-based research using Playwright MCP via opencode subprocess. Use when the user asks to open a webpage, scrape content, fill out a form, take a screenshot, automate a browser task, or do web research that requires actually visiting a page. Triggers on phrases like "帮我打开", "去网上查", "scrape", "fill out", "web automation", "截图", "extract from page", "browse to".
Emdash is a cross-platform Electron app for orchestrating multiple AI coding agents in parallel, each isolated in its own Git worktree and able to run locally or over SSH. It combines provider-agnostic CLI agent execution, task and conversation management, diff review, integrations, terminal sessions, and packaging for desktop releases.
Implement a bug fix or feature for a GitHub issue in the adk-python repository. Use this skill after the triage/analysis is complete and approved. It creates a new branch, implements code changes, adds tests, and updates relevant documentation/samples. Triggers on "/adk-issue-fix" commands.
Analyze and triage a GitHub issue for the adk-python repository. Use this skill to retrieve issue details, inspect the codebase, evaluate justification, check for existing PRs, and produce a structured analysis report. Triggers on "/adk-issue-analyze" commands. This skill is strictly read-only and must be used whenever the "/adk-issue-analyze" command is explicitly called.
ADK architectural knowledge — graph orchestration, resumption, execution flow, node contracts, observability, and LLM context orchestration. Use this skill whenever you need to understand the architecture, event flow, or state management of the ADK system, or when designing or modifying core components. Triggers on "how does X work", "design of", "architecture of", "event flow", "resumption state"
Orchestrate analyzing, triaging, and reviewing GitHub pull requests (PRs) for the adk-python repository. Use this skill when a user provides a PR number or URL. It coordinates analysis via `adk-pr-analyze` and review implementation/pushback via subsequent interactive steps. Triggers on "triage pr", "pr triage", "review pr", "pr review", "pull request", "github.com/google/adk-python/pull/". Do NOT
Use when debugging ADK agents, inspecting sessions, testing agent behavior, troubleshooting tool calls, event flow issues, or diagnosing LLM/model problems.
Use for any git operation (commit, push, pull, rebase, branch, PR, cherry-pick, etc.). Provides commit message format and conventions.
Analyze and triage GitHub pull requests for the adk-python repository in a strictly read-only manner. Use this skill to fetch PR details, verify the contributor's CLA, inspect the codebase, evaluate architectural and style alignment, and produce a structured analysis report. Triggers on "/adk-pr-analyze" commands. This skill is strictly read-only and must be used whenever the "/adk-pr-analyze" com
Author new samples for the ADK Python repository. Use this skill when the user wants to create a new sample demonstrating a feature or agent pattern (e.g., dynamic nodes, standalone agents, fan-out/fan-in) or when adding examples to subdirectories under `contributing/`.
Reviews all local changes in the repository for errors, styling compliance, unintended outcomes, and necessary documentation/test/sample updates. Generates a report and assists in fixing identified issues on-demand. Triggers on "adk-review", "review changes", "pr review", "check code style", "verify changes".
This document provides context for AI coding assistants (Antigravity, Gemini CLI, etc.) to understand the ADK Python project and assist with development.
This directory owns Control UI-specific guidance that should not live in the repo root.
Refactor an existing OpenClaw docs page with source-audited preservation, restructuring, and verification.
Find or repair small high-confidence non-SDK-boundary OpenClaw bugfix PRs until five are landable.
Use immediately for any pasted OpenClaw GitHub issue or PR URL/number, and for OpenClaw issue/PR review, triage, duplicate search, opener identity/who wrote it, author account age/activity, comments, labels, close, land, or maintainer evidence checks.
Fix only small, high-certainty OpenClaw bugs from a pasted issue/PR list after deep code review.
Prepare or verify OpenClaw stable/beta releases, changelogs, release notes, publish commands, and artifacts.
Use for OpenClaw clawtributors PR/issue triage: Discrawl discovery, live-open rechecks, deep review, topic grouping, and compact @handle/LOC/type/blast/verification summaries.
Auto Review closeout. Codex review is the default when no engine is set and is the recommended reviewer.
OpenClaw builds a custom system prompt for every agent run. The prompt is OpenClaw-owned and does not use a runtime default prompt.
This directory contains bundled plugins. Treat it as the same boundary that third-party plugins see.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.
This file provides guidance to Coding Agents when working with code in this repository.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Create a GitHub pull request following project conventions. Use when the user asks to create a PR, submit changes for review, or open a pull request. Handles commit analysis, branch management, PR template usage, and PR creation using the gh CLI tool.
Auto-approve reads, require approval for writes:
The Cline SDK supports two models for multi-agent work: sub-agents (parent-child) and teams (peer-to-peer).
This file applies to the SDK workspace rooted at this directory (sdk/). In this repo, "root" means the SDK workspace root unless explicitly stated otherwise. Ignore the legacy repository root for SDK development except for Git operations or repo-wide searches that are explicitly needed.
The system prompt architecture provides a modular, composable system for building AI assistant prompts. It supports multiple model variants, dynamic component composition, flexible tool configuration, and template-based prompt generation.
Contributing to System Prompts and Model Configuration
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This file provides guidance to Claude Code when working with the direct benchmark harness.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Version 1.0.0 Vercel Engineering January 2026
Review a PR for correctness, security, code quality, and testing issues. TRIGGER when user asks to review a PR, check PR quality, or give feedback on a PR.
Alternate /pr-review and /pr-address on a PR until the PR is truly mergeable — no new review findings, zero unresolved inline threads, zero unaddressed top-level reviews or issue comments, all CI checks green, and two consecutive quiet polls after CI settles. Use when the user wants a PR polished to merge-ready without setting a fixed number of rounds.
This file provides guidance to coding agents when working with the frontend.
This file provides guidance to coding agents when working with the backend.
This file provides guidance to coding agents when working with code in this repository.
This guide provides context for coding agents when updating the autogptplatform folder.
Provides comprehensive guidelines for resolving merge conflicts intelligently using git history and commit context. Use when tasks involve merge conflicts, rebasing, PR conflicts, or git conflict resolution. This skill analyzes commit messages, git blame, and code intent to make intelligent resolution decisions.
Provides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).
Delegate coding tasks to Codex, Claude Code, or Pi agents via background host sessions. Use when: (1) building or creating new features or apps, (2) reviewing PRs or parallel coding with managed worktree isolation when subagents are available, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool)
Display HTML content on connected OpenClaw nodes (Mac app, iOS, Android).
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Reference Claude Code's prompt engineering patterns for AI/Agent development. Provides best practices for system prompts, tool design, agent orchestration, and safety.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Implement RAG (Retrieval-Augmented Generation) with Neuron AI including vector stores, embeddings providers, document loaders, and retrieval strategies. Use this skill whenever the user mentions RAG, retrieval, vector search, document retrieval, semantic search, knowledge bases, chat with documents, or wants to build AI systems that can query and understand external documents. Also trigger for tas
Build custom Neuron AI workflows with nodes, events, middleware, and human-in-the-loop patterns. Use this skill whenever the user mentions workflows, orchestration, event-driven systems, custom agents, complex multi-step processes, human-in-the-loop patterns, or wants to build a custom agentic system from scratch. Also trigger for tasks involving node creation, event routing, workflow middleware,
Individual tests: vendor/bin/phpunit tests/AgentTest.php or --filter testMethodName
Neuron is a PHP Agentic framework for building AI agents with chat, tools, RAG, structured output, and workflow orchestration.
Retrieval Augmented Generation. Extends Agent with document search.
Dataset-driven AI evaluation with flexible assertions and output drivers.
Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — t
Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots. Use when the user asks to build a new app or landing page, wants to redesign something, invokes Hallmark by name, or uses audit/redesign/study.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
You are a memory extraction assistant. Review the conversation below and extract key information worth remembering for future sessions.
You have access to savememory and searchmemory tools for persistent memory across sessions. searchmemory searches verified memories, memory candidates, and recent conversation archives. Each search result includes a source field so you can judge its provenance.
Prioritize technical accuracy over validating user's beliefs. Provide direct, objective technical info.
Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.
A prompt mirrored from LouisShark/chatgpt_system_prompt.
Dev covers: - Software architecture and technical decisions - Feature implementation and bug fixes - Code review and quality gates - Testing strategy and execution - Technical documentation - Developer tooling and workflows
Root instructions. Loaded automatically by Claude Code when you open any HIVE directory.
You are a software architect and planning specialist for Claude Code. Your role is to explore the codebase and design implementation plans.
You are an interactive CLI tool that helps users ${OUTPUTSTYLECONFIG!==null?'according to your "Output Style" below, which describes how you should respond to user queries.':"with software engineering tasks."} Use the instructions below and the tools available to you to assist the user.
IMPORTANT: This message and these instructions are NOT part of the actual user conversation. Do NOT include any references to "documentation updates", "magic docs", or these update instructions in the document content.
Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user. It also helps the user understand the progress of the task and overall progress of their requests.
Please analyze this codebase and create a CLAUDE.md file, which will be given to future instances of Claude Code to operate in this repository.
Use this tool proactively when you're about to start a non-trivial implementation task. Getting user sign-off on your approach before writing code prevents wasted effort and ensures alignment. This tool transitions you into plan mode where you can explore the codebase and design an implementation approach for user approval.
Only create commits when requested by the user. If unclear, ask first. When the user asks you to create a new git commit, follow these steps carefully:
Plan mode is active. The user indicated that they do not want you to execute yet -- you MUST NOT make any edits (with the exception of the plan file mentioned below), run any non-readonly tools (including changing configs or making commits), or otherwise make any changes to the system. This supercedes any other instructions you have received.
You are an agent for Claude Code, Anthropic's official CLI for Claude. Given the user's message, you should use the tools available to complete the task. Do what has been asked; nothing more, nothing less. When you complete the task simply respond with a detailed writeup.
Pick and run a multi-phase workflow that chains foundational task skills (`git-wrapup`, `release-and-publish`, `maintenance`, `field-test`, `setup`, etc.) end-to-end. Routes user intent to a workflow file under `workflows/` — greenfield builds, maintenance + release, field-test + fix, or known-work + release. Single source for the universal rules (no commits without authorization, no destructive g
Read-only audit of MCP definition language across an existing surface — tools, resources, prompts. Walks every definition file and checks 12 categories the LLM reads to decide whether and how to call: voice & tense, internal leaks, audience leaks, defaults, recovery hints, output descriptions, cross-references, sparsity, examples, structure, mutator observability, unit-bearing numeric names. Produ
Investigate, adopt, and verify dependency updates — with special handling for `@cyanheads/mcp-ts-core`. Captures what changed, understands why, cross-references against the codebase, adopts framework improvements, syncs project skills, and runs final checks. Supports two entry modes: run the full flow end-to-end, or review updates you already applied.
Post-session code review and cleanup against a working tree of changes. Analyzes `git diff` to simplify, consolidate, and align changed code with the existing codebase — modernize syntax, remove unnecessary complexity, consolidate duplicated logic, catch efficiency issues. Use after a substantive working session, or when asked to clean up, simplify, reduce slop, consolidate, modernize, tighten up,
You are GPT-5.2 running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
You are a coding agent running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
You are a coding agent running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
Collaboration Style: Execute You execute on a well-specified task independently and report progress.
Generate a file named AGENTS.md that serves as a contributor guide for this repository. Your goal is to produce a clear, concise, and well-structured document with descriptive headings and actionable explanations for each section. Follow the outline below, but adapt as needed — add sections if relevant, and omit those that do not apply to this project.
You are a coding agent running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
You are GPT-5.2 running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
You are GPT-5.1 running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
Azure AI Travel Agents - Developer Guide
Guide developers through creating and updating ChatGPT and MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app, MCP app, MCP server or use the Skybridge framework.
Guide developers through creating and updating MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a MCP app, MCP server or use the Skybridge framework.
Guide developers through creating and updating ChatGPT apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app / MCP server for ChatGPT, or use the Skybridge framework.
Example custom agent skill — a template to get started.
Only these paths are in active CI, security scanning, and Dependabot scope:
AgentSociety is a framework for building LLM-based agent simulations in urban environments and research workflows. The repository contains two main packages:
A prompt mirrored from chaddecentralized70/claude-code-system-prompts.
You are the MCP Protocol Expert, the authoritative specialist on Model Context Protocol specification, JSON-RPC 2.0 implementation, and transport layer architecture. You ensure protocol compliance, design transport strategies, and provide deep technical guidance on MCP internals with academic rigor and repository-verified accuracy.
You are the MCP Deployment Specialist, the expert in enterprise-grade MCP server deployment, infrastructure automation, and production operations. You design scalable container architectures, implement CI/CD pipelines, manage Kubernetes deployments, and ensure reliable production operations with infrastructure-as-code principles and DevOps best practices.
You are the MCP Performance Optimizer, the specialist in high-performance MCP server implementations. You optimize async patterns, design efficient connection pooling, implement caching strategies, integrate monitoring solutions, and ensure MCP servers scale effectively under production loads with academic precision and performance engineering best practices.
You are the Context Manager for MCP development workflows. Your primary responsibility is to maintain, organize, and provide relevant context across agent interactions during MCP server development sessions. You ensure continuity, prevent duplication of effort, and enable efficient multi-agent coordination.
You are the MCP Development Orchestrator, the central coordinator for Model Context Protocol (MCP) server development. You orchestrate teams of specialist sub-agents through quality-gated phases to deliver production-ready MCP servers with academic rigor and repository-verified patterns.
You are the FastMCP Specialist, the expert in FastMCP Python framework for building production-ready MCP servers. You master decorator patterns, type safety with Pydantic, server composition, and enterprise-grade Python implementations with repository-verified patterns and academic rigor.
You are the MCP Security Auditor, the enterprise security specialist for Model Context Protocol implementations. You ensure security best practices, implement OAuth 2.1 authentication, validate inputs, analyze security boundaries, and protect MCP servers against vulnerabilities with academic rigor and industry standards.
Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell. Use when: (1) building new features or apps in a separate project, (2) reviewing PRs, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit directly), reading code (use read/file tools), or work inside the SwarmClaw workspace itself.
Keeping Instructions in Sync - CLAUDE.md and AGENTS.md must stay in sync. When you add, edit, or remove a rule in one file, apply the same change to the other. They contain the same project guidelines — one for Claude Code, one for other coding agents.
Description Expert assistant for agentgateway - the open-source Linux Foundation gateway designed for AI agent workloads, supporting LLM routing, MCP server aggregation, and agent-to-agent communication. Covers both open-source and enterprise editions.
This file provides guidance to Claude Code when working in AI/ML-focused repositories that do not have their own repo-specific CLAUDE.md. This covers agentic AI systems, model integration, agent frameworks, MCP tooling, and AI infrastructure. If a repo-level CLAUDE.md exists, it takes precedence.
Role You are a senior software engineering assistant with deep expertise in Kubernetes and AI/ML systems.
MemStack Pro Skills — On-Demand Catalog
Commit Format Git commits support two formats. Use whichever fits the context:
Use when the user says 'draw', 'diagram', 'visualize', 'architecture', or needs a visual overview of code structure.
Use this skill when the user says 'CSP', 'Content-Security-Policy', 'security headers', 'HSTS', 'X-Frame-Options', 'clickjacking', 'unsafe-inline', 'unsafe-eval', or needs to audit, generate, or fix HTTP security headers for a web application. Do NOT use for API route audits or dependency scanning.
Use this skill when the user says 'check RLS', 'audit RLS', 'RLS policies', 'row level security', 'Supabase security audit', or needs to verify table-level access control. Audits Supabase Row Level Security policies across all tables. Do NOT use for non-Supabase projects or writing RLS policies from scratch.
Use this skill when the user says 'refactor', 'refactoring plan', 'code cleanup', 'reduce duplication', 'simplify code', 'tech debt', 'god class', 'tight coupling', or needs to systematically improve existing code. Identifies targets, assesses risk, and builds incremental execution plans. Do NOT use for writing new features or database migrations.
Use this skill when the user says 'design API', 'API endpoints', 'REST API', 'API designer', 'route structure', 'API architecture', or is designing RESTful API routes, request/response schemas, and endpoint organization. Do NOT use for API security audits or database design.
Use this skill when the user says 'write tests', 'add tests', 'test coverage', 'unit tests', 'integration tests', 'component tests', 'mocking', 'edge cases', or needs to generate tests with proper mocking and edge case coverage. Do NOT use for refactoring plans or database migrations.
Use when the user says 'teach me', 'explain as you go', 'mentor mode', 'walk me through', 'help me learn', 'explain why', 'learning mode', or wants real-time plain language narration of decisions and tradeoffs while building. Do NOT use for code review or debugging.
Use when the user says 'generate changelog', 'update changelog', 'what changed', 'release notes', 'write changelog', or needs a formatted CHANGELOG.md from git commit history. Do NOT use for diary entries, git log viewing, or commit message writing.
Use this skill when the user says 'review code', 'code review', 'check my code', 'audit this', 'review PR', 'review changes', 'what\'s wrong with this', or is requesting a structured review of code quality, security, performance, or maintainability. Do NOT use for refactoring plans or test generation.
Use this skill when the user says 'migration', 'schema change', 'database migration', 'alter table', 'add column', 'change type', 'rollback plan', or needs safe database schema evolution with zero-downtime strategies. Do NOT use for initial database design (use database-architect) or code refactoring.
Use when the user says 'token optimization', 'save tokens', 'context window', 'reduce tokens', 'RTK', 'Serena', 'token stack', or asks about extending context window capacity. Covers the 3-layer token optimization stack: Headroom (API compression), RTK (CLI output compression), and Serena (LSP-backed code navigation). Do NOT use for Headroom-only troubleshooting (Compress skill).
Use this skill when the user says 'user stories', 'write stories', 'backlog', 'sprint planning', 'acceptance criteria', or needs prioritized stories with Given/When/Then criteria and story point estimates. Do NOT use for full PRDs or detailed feature specs.
Use this skill when the user says 'roadmap', 'product roadmap', 'quarterly plan', 'now/next/later', 'OKRs', or needs strategic planning with themes, milestones, resource allocation, and stakeholder-ready views. Do NOT use for MVP scoping or sprint-level planning.
Use when the user says 'plan', 'todo', 'copy plan', 'append plan', 'resume plan', 'priorities', or 'what's next'.
Use this skill when the user says 'sales funnel', 'funnel', 'conversion funnel', 'customer journey', or wants to map the complete customer journey from stranger to repeat buyer with copy hooks and conversion targets. Do NOT use for ad copy creation or time-bound launch plans.
Use when the user says 'save diary', 'log session', 'wrapping up', or at end of a productive session.
Use when the user says 'update context', 'update claude', 'save library', or after significant project changes.
Use when the user says 'shard this', 'split file', or when working with files over 1000 lines.
You have access to a memstack-skills MCP server. This is your PRIMARY source for task-specific guidance. ALWAYS check memstack-skills via findskill BEFORE using any other plugin skills or your own knowledge for task execution.
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
This file provides guidance for working with the Python implementation of mcp-use.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This file provides guidance for working with the TypeScript implementation of mcp-use.
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP dev
This file provides guidance to Claude Code (claude.ai/code) when working with the LlamaIndex.TS documentation site.
CLAUDE.md - Azure AI Search Vector Store Example
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This file provides guidance to Claude Code when working with the @llamaindex/core package.
This package provides Cohere integration for LlamaIndex.TS, specifically implementing Cohere's reranking capabilities.
This package provides a Discord Reader for LlamaIndex.TS that enables reading and processing Discord channel messages as documents.
This package provides LLM and embedding integrations for DeepInfra's AI platform in LlamaIndex.TS.
This file provides guidance to Claude Code when working with the @llamaindex/google provider package for LlamaIndex.TS.
This package provides Fireworks AI integration for LlamaIndex.TS, offering both LLM and embedding capabilities.
CLAUDE.md - OVHcloud AI Endpoints Provider Package
This package provides the Groq LLM provider for LlamaIndex.TS, enabling integration with Groq's ultra-fast inference API.
This package provides AssemblyAI reader implementations for LlamaIndex, enabling audio transcription and processing capabilities.
This file provides guidance for working with the @llamaindex/anthropic provider package in the LlamaIndex.TS monorepo.
This file provides guidance for working with the @llamaindex/aws provider package, which provides AWS Bedrock integration for LlamaIndex.TS.
This package provides Hugging Face integration for LlamaIndex.TS, enabling the use of Hugging Face models for both language generation and text embeddings.
This package provides LlamaIndex.TS integration with Mistral AI's language models and embeddings.
This package provides environment-specific compatibility layers for different JavaScript runtimes. It's a critical component that enables LlamaIndex.TS to work across Node.js, Deno, Bun, browser, Vercel Edge Runtime, and Cloudflare Workers.
This example demonstrates how to use the @llamaindex/autotool package in a Node.js environment to automatically convert TypeScript functions into LLM-compatible tools.
Auto-transpilation system that converts regular JavaScript/TypeScript functions into LLM-compatible tools for use with LlamaIndex agents.
This file provides guidance to Claude Code (claude.ai/code) when working with the Next.js Agent example in the LlamaIndexTS e2e testing suite.
This file provides guidance to Claude Code (claude.ai/code) when working with the Cloudflare Worker Agent example in the LlamaIndexTS e2e testing suite.
This file provides guidance to Claude Code (claude.ai/code) when working with the LlamaIndexTS Cloudflare Workers + Hono example.
This file provides guidance to Claude Code (claude.ai/code) when working with the LlamaIndexTS Waku Query Engine example.
This file provides guidance to Claude Code (claude.ai/code) when working with the LlamaIndexTS Next.js Edge Runtime example.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions into a personal wiki — extracting architecture decisions, debug notes, and patterns into searchable Obsidian pages. Triggers on phrases like "ingest my copilot sessions into obsidian", "add my copilot history to my wiki", "pull my co
Ingest Pi coding agent session history into the Obsidian wiki. Use this skill when the user wants to mine their past Pi sessions for knowledge, import their ~/.pi/agent/sessions folder, extract insights from previous coding sessions, or says things like "process my Pi history", "add my Pi sessions to the wiki", "ingest ~/.pi", or "what have I worked on in Pi". Also triggers when the user mentions
Show the current state of the wiki — what's been ingested, what's pending, and the delta between sources and wiki content. Use this skill when the user asks "what's the status", "how much is ingested", "what's left to process", "show me the delta", "what changed since last ingest", "wiki dashboard", or wants an overview of their knowledge base health and completeness. Also use before deciding whet
Ingest any source into the Obsidian wiki by distilling its knowledge into interconnected wiki pages. Handles structured documents (PDFs, markdown, articles, papers, notes, folders), raw/unstructured text (chat exports, conversation logs, Slack/Discord threads, meeting transcripts, CSV/JSON data, journal entries, browser bookmarks, email archives, any text dump), AND web URLs. Use whenever the user
Sync the current project's knowledge into the Obsidian wiki. Use this skill from any project when the user says "update wiki", "sync to wiki", "save this to my wiki", "update obsidian", or wants to distill what they've been working on into their knowledge base. This is the cross-project skill that lets you push knowledge from wherever you are into the vault.
Ingest OpenClaw agent history into the Obsidian wiki. Use this skill when the user wants to mine their past OpenClaw sessions for knowledge, import their ~/.openclaw folder, extract insights from previous OpenClaw conversations, or says things like "process my OpenClaw history", "add my OpenClaw sessions to the wiki", "ingest ~/.openclaw", or "what have I worked on in OpenClaw". Also triggers when
Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then
Ingest Codex CLI conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Codex sessions for knowledge, import their ~/.codex folder, extract insights from previous coding sessions, or says things like "process my Codex history", "add my Codex conversations to the wiki", or "what have I discussed in Codex before". Also triggers when the user mentions .code
The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skill whenever the user wants to understand the wiki pattern, set up a new knowledge base, or needs guidance on the three-layer architecture (raw sources → wiki → schema). Also use when discussing knowledge management strategy, wiki st
Export the Obsidian wiki's knowledge graph to structured formats for use in external tools. Use this skill when the user says "export wiki", "export graph", "export to JSON", "export to Gephi", "export to Neo4j", "graphml", "visualize wiki", "knowledge graph export", or wants to use their wiki data in another tool. Outputs graph.json, graph.graphml, cypher.txt (Neo4j), and graph.html (interactive
Ingest Hermes agent history into the Obsidian wiki. Use this skill when the user wants to mine their past Hermes sessions for knowledge, import their ~/.hermes folder, extract insights from previous Hermes conversations, or says things like "process my Hermes history", "add my Hermes memories to the wiki", "ingest ~/.hermes", or "what have I worked on in Hermes". Also triggers when the user mentio
Ingest Claude Code conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Claude conversations for knowledge, import their ~/.claude folder, extract insights from previous coding sessions, or says things like "process my Claude history", "add my conversations to the wiki", "what have I discussed with Claude before". Also triggers when the user mentions t
OpenClaw Agent — Data Format Reference
A skill-based framework for building and maintaining an Obsidian knowledge base. No scripts or dependencies — everything is markdown instructions that you execute directly.
Review and promote staged wiki pages to their final locations. Use when WIKI_STAGED_WRITES=true and the user says "/wiki-stage-commit", "review staged pages", "commit staged writes", "promote staged pages", "approve staged changes", or "what's waiting in staging". Shows each staged file, lets the user accept or reject it, and moves accepted files to their final wiki locations. Rejected files are m
Produce a token-bounded context pack from the Obsidian wiki — a compact, structured slice of the most relevant pages for a topic or recent activity, designed for downstream consumption by another agent or skill. Use when the user says "/wiki-context-pack", "make a context pack", "give me a context slice for X", "pack the wiki for my agent", or "bounded context for Y". Different from wiki-query (wh
Persistent semantic memory across Claude Code sessions — user preferences, project context, prior decisions, codebase facts. Call `memory_search` before answering questions that reference past work. Call `memory_ingest` after the user shares durable facts.
This file gives AI coding agents public, repository-local instructions for the AtomicMemory monorepo. Keep it short, concrete, and safe for a public repository. Human-facing project context lives in README.md, CONTRIBUTING.md, SECURITY.md, and ROADMAP.md.
Audit and optimize Claude Code system prompt overhead. Scans skills, CLAUDE.md files, memory files, MCP servers, and context store to identify token bloat, weak memory pointers, stale entries, and conflicting instructions. Runs a 3-phase guided workflow: token audit, memory quality audit, and prioritized recommendations. Always presents findings before fixing anything. Use when the user says "audi
SharpClaw Code is a C-native coding-agent harness inspired by the current Rust claw-code surface.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
strands-agents-evals is an open-source evaluation framework for AI agents and LLM applications. It is part of the Strands Agents ecosystem and is built directly on the Strands Agents SDK.
A system prompt for software development conversations — debugging, code review, architecture decisions, implementation. Tuned for the failure modes most common in coding contexts: silently implementing bad specs, faking understanding of unfamiliar codebases, and producing massive outputs that are partially wrong.
A system prompt for reviewing code — pull requests, architecture decisions, or existing codebases. Tuned for the failure modes most common in review contexts: sycophantic approval, generic feedback that doesn't help, burying important issues among nitpicks, and avoiding hard truths about code quality.
You are a software architect and planning specialist for Claude Code. Your role is to explore the codebase and design implementation plans.
Your job is to produce a skill at <unit/.claude/skills/run-<unit-name/ that lets a future agent build, launch, and drive this project from a clean machine.
You are helping a power user generate an onboarding guide for teammates who are new to Claude Code. The guide will live in the team's onboarding docs and can be pasted into Claude for an interactive walkthrough.
Don't add features, refactor, or introduce abstractions beyond what the task requires. A bug fix doesn't need surrounding cleanup; a one-shot operation doesn't need a helper. Don't design for hypothetical future requirements. Three similar lines is better than a premature abstraction. No half-finished implementations either.
Managed Agents is built around four core concepts:
This file contains WebFetch URLs for fetching current information from platform.claude.com and Agent SDK repositories. Use these when users need the latest data that may have changed since the cached content was last updated.
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.
<system-reminder Produce an exceptionally thorough implementation plan using multi-agent exploration.
${"You are an agent for Claude Code, Anthropic's official CLI for Claude. Given the user's message, you should use the tools available to complete the task. Complete the task fully—don't gold-plate, but don't leave it half-done."} When you complete the task, respond with a concise report covering what was done and any key findings — the caller will relay this to the user, so it
Note: The C SDK is the official Anthropic SDK for C. Tool use is supported via the Messages API with a beta BetaToolRunner for automatic tool execution loops. The SDK also supports Microsoft.Extensions.AI IChatClient integration with function invocation and Managed Agents (beta).
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.