One search for your own team's files and the public ecosystem. See how real projects write their agent instructions, and bring the good ideas home.
MicrosoftCLAUDE.mdmicrosoft/playwright/CLAUDE.md
fixtures | Test runner: reporters, config, annotations, retries | | `tests/mcp/` | `import { test, expect } from './fixtures'` | `client`, `server` | MCP tools via `client.callTool()` | **Decision rule**: Does the test need `browser`/`browserType`/`context` → `tests/library/`. Just
MicrosoftSkillmicrosoft/playwright/.claude/skills/playwright-triage/SKILL.md
Triage a Playwright bug report by reproducing it from the information in the issue. Use when asked to triage, reproduce, or verify a GitHub issue (a new bug report, or an existing report with a new comment).
nexu-ioAGENTS.mdnexu-io/open-design/plugins/AGENTS.md
plugin content. A plugin may reference OD atoms, design systems, craft docs, assets, scripts, MCP servers, or connectors through the manifest. ## Authoring Rules - New spec examples belong under `plugins/spec/examples
ruvnetAGENTS.mdruvnet/RuView/AGENTS.md
harness/homecore/bin/cli.js mcp start ``` The metaharness kernel is requested as WASM first and validates the MCP server spec. Fallback backends must be reported honestly. MCP guidance, diagnostics, and reviewed-memory search
ruvnetCLAUDE.mdruvnet/RuView/CLAUDE.md
implementation and deterministic proof | | `firmware/esp32-csi-node/` | ESP32-S3/C6 firmware and provisioning | | `harness/ruview/` | `@ruvnet/ruview` CLI, MCP server, shared brain, and flywheel | | `harness/homecore/` | `homecore` CLI/MCP, WASM kernel adapter, and reviewed brain | | `plugins/ruview
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-memory-patterns/SKILL.md
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-vector-search/SKILL.md
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnetSkillruvnet/RuView/.claude/skills/github-multi-repo/SKILL.md
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnetSkillruvnet/RuView/.claude/skills/github-project-management/SKILL.md
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
ruvnetSkillruvnet/RuView/.claude/skills/hooks-automation/SKILL.md
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
ruvnetSkillruvnet/RuView/.claude/skills/reasoningbank-agentdb/SKILL.md
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
ruvnetSkillruvnet/RuView/.claude/skills/sparc-methodology/SKILL.md
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnetSkillruvnet/RuView/.claude/skills/swarm-advanced/SKILL.md
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
ruvnetSkillruvnet/RuView/.claude/skills/v3-core-implementation/SKILL.md
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
ruvnetSkillruvnet/RuView/.claude/skills/v3-swarm-coordination/SKILL.md
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
LeonxlnxSkillLeonxlnx/taste-skill/skills/stitch-skill/SKILL.md
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
LeonxlnxSkillLeonxlnx/taste-skill/skills/taste-skill/SKILL.md
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
Model Context ProtocolCLAUDE.mdmodelcontextprotocol/servers/CLAUDE.md
modelcontextprotocol/server-memory (knowledge graph persistence) sequentialthinking/ TS @modelcontextprotocol/server-sequential-thinking (step-by-step reasoning) fetch/ Py mcp-server-fetch (web content fetching) git/ Py mcp-server-git (git repository operations) time/ Py mcp
Model Context ProtocolAGENTS.mdmodelcontextprotocol/servers/src/everything/AGENTS.md
changes and rebuilds automatically - Run STDIO server: `npm run start:stdio` - Starts the MCP server using stdio transport - Run SSE server: `npm run start:sse` - Starts the MCP server with
koala73AGENTS.mdkoala73/worldmonitor/AGENTS.md
node:zlib`. Use `(...args) => globalThis.fetch(...args)`, never `fetch.bind(globalThis)`. - Include a `User-Agent` on server fetches. Stagger Yahoo Finance requests by 150 ms. - Wire new shared startup data into `api/bootstrap.js
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
