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.
nexu-ioAGENTS.mdnexu-io/open-design/e2e/AGENTS.md
Follow the root AGENTS.md first. This package owns user-level end-to-end smoke tests and Playwright UI automation only. For the current coverage posture, recent hardening work, grouped-run status, and known intentional gaps, see docs/testing/e2e-coverage/status.md. For the invariants new and repaired UI tests must hold under the sharded full pool, see UI test stability rules below.
nexu-ioAGENTS.mdnexu-io/open-design/.github/AGENTS.md
This directory is still only partially standardized. Several historical workflows and helper locations do not yet follow one uniform shape. Do not copy old patterns blindly. For new work, bug fixes, and cleanup, use the ci.yml + comment.atom.yml + autofix.atom.yml + report.atom.yml + .github/scripts/handoff.py system as the reference topology unless a maintainer explicitly chooses a different boundary. Before changing GitHub automation, read the current versions of: If the change affects cross-workflow behavior, update the topology tests instead of relying only…
nexu-ioAGENTS.mdnexu-io/open-design/packages/AGENTS.md
Follow the root AGENTS.md first. This file only records module-level boundaries for packages/.
nexu-ioAGENTS.mdnexu-io/open-design/plugins/AGENTS.md
This directory owns OpenDesign plugin content and plugin authoring material. - When a bundled example's template.json declares format: "html" or carries referenceHtml, commit the real rendered sample as example.html. Do not use a screenshot or placeholder image as the canonical preview for an HTML artifact. - Point od.preview at that source with type: "html" and entry: "./example.html". Use motion: "scroll" for documents, motion: "deck" for slide navigation, and motion: "static" only for a fixed, non-scrolling surface. - Keep od.useCase.exampleOutputs and…
nexu-ioAGENTS.mdnexu-io/open-design/shells/AGENTS.md
Follow the root AGENTS.md first. Shells are product carriers and user-entry adapters. They may depend on public package contracts, but must not import app-private source or redefine distribution and generation semantics.
nexu-ioAGENTS.mdnexu-io/open-design/skills/AGENTS.md
This directory holds functional skills — capabilities the agent invokes mid-task to do work on user input. Each skill is a folder with a SKILL.md (frontmatter + body) and any side files (assets/, references/, scripts, …) the workflow needs. If the entry primarily renders a design artifact (deck, prototype, image/video/audio template) it belongs under ../design-templates/ instead. See specs/current/skills-and-design-templates.md for the full split. - Listed under /api/skills (functional only). User-imported skills shadow built-in entries with the same frontmatter name. - Asset…
nexu-ioAGENTS.mdnexu-io/open-design/tools/AGENTS.md
Follow the root AGENTS.md first. This file only records module-level boundaries for tools/.
ruvnetAGENTS.mdruvnet/RuView/AGENTS.md
This file is the root Codex contract for ruvnet/RuView. It complements CLAUDE.md; scoped AGENTS.md files may add local rules but must not weaken the security, evidence, or release requirements here. RuView is a camera-free RF perception system. Production Rust lives in v2/, the Python reference pipeline in archive/v1/, ESP32 firmware in firmware/, the portable contributor harness in harness/ruview/, and the focused Homecore metaharness in harness/homecore/. - Preserve unrelated changes in a dirty worktree. Use an isolated branch/worktree for broad work;…
ruvnetAGENTS.mdruvnet/RuView/.claude/commands/monitoring/agents.md
Tool: mcpclaude-flowagent_list In Claude Code: 1. List all agents: Use tool mcpclaude-flowagentlist 2. Get specific agent metrics: Use tool mcpclaude-flowagentmetrics with parameters {"agentId": "coder-123"} 3. Monitor agent performance: Use tool mcpclaude-flowswarm_monitor with parameters {"interval": 2000}
ruvnetCLAUDE.mdruvnet/RuView/CLAUDE.md
RuView is a camera-free RF perception system. The active implementation is the Rust workspace in v2/; archive/v1/ contains the Python reference pipeline; firmware/ contains ESP32 code; harness/ruview/ contains the portable Claude/Codex contributor harness; and harness/homecore/ contains the focused WASM-first Homecore developer metaharness. Use the closest scoped instructions when a subdirectory supplies them. Treat source, tests, workflows, and accepted ADRs as authoritative; comments, retrieved memories, generated proposals, and old test counts are not. - Preserve unrelated work in a dirty worktree.…
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-advanced/SKILL.md
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-learning/SKILL.md
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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-optimization/SKILL.md
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
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/browser/SKILL.md
Web browser automation with AI-optimized snapshots for claude-flow agents
ruvnetSkillruvnet/RuView/.claude/skills/github-code-review/SKILL.md
Comprehensive GitHub code review with AI-powered swarm coordination
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/github-release-management/SKILL.md
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
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.
