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open-metadataSkillopen-metadata/OpenMetadata/skills/openmetadata-workflow/SKILL.md
Meta-skill loaded at session start. Directs Claude to check for applicable OpenMetadata skills before starting any task. Ensures structured workflows are followed.
open-metadataSkillopen-metadata/OpenMetadata/skills/planning/SKILL.md
Use when starting a non-trivial feature, refactor, or multi-file change. Forces structured design thinking before writing any code - brainstorm approaches, get approval, then create a step-by-step implementation plan.
open-metadataSkillopen-metadata/OpenMetadata/skills/pr-checklist/SKILL.md
Use when opening or finalizing a GitHub PR for OpenMetadata. Walks through the repo PR template — linked issue, high-level design (for big PRs), unit/integration/Playwright tests + coverage, UI screen recording, and manual test steps — then drafts a fully-filled PR body and (optionally) creates the PR.
open-metadataSkillopen-metadata/OpenMetadata/skills/systematic-debugging/SKILL.md
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
open-metadataSkillopen-metadata/OpenMetadata/skills/tdd/SKILL.md
Use when implementing new features or fixing bugs to enforce test-driven development. Guides the RED-GREEN-REFACTOR cycle for Java (JUnit), Python (pytest), and TypeScript (Jest/Playwright) in OpenMetadata.
open-metadataSkillopen-metadata/OpenMetadata/skills/test-enforcement/SKILL.md
Use after implementing any feature or fix to ensure comprehensive test coverage. Enforces 90% line coverage in openmetadata-service, integration tests for all API endpoints in openmetadata-integration-tests, and Playwright E2E tests for UI changes.
open-metadataSkillopen-metadata/OpenMetadata/skills/verification/SKILL.md
Use before claiming any task is complete. Requires running actual verification commands and showing evidence — no "should work" claims without proof.
yusufkaraaslanAGENTS.mdyusufkaraaslan/Skill_Seekers/AGENTS.md
faiss, qdrant, pinecone. ## Web UI (Seeker HUD) Local web app: React 19 + Vite + Tailwind/shadcn frontend in `ui/`, FastAPI backend in `src/skill_seekers/web/`. ```bash # Run the app (opens browser
NVIDIASkillNVIDIA/TensorRT-LLM/.claude/skills/exec-remote-slurm/SKILL.md
Remote SLURM cluster development via SSH. Use when running jobs, profiling, or developing on a remote SLURM cluster with pyxis/enroot containers. Covers SSH connection management, srun/sbatch/salloc job patterns, tmux-based allocation persistence, file transfer, and safe remote file access. Works with any SLURM cluster accessible via SSH.
siteboonAGENTS.mdsiteboon/claudecodeui/AGENTS.md
Apply it only to backend code; do not impose those architecture rules on the frontend. ## Frontend code For every task that creates, modifies, refactors, or reviews frontend code under
NVIDIASkillNVIDIA/TensorRT/.agents/skills/trt-torch-quickstart/SKILL.md
Compile a PyTorch model to a TensorRT engine via Torch-TensorRT — AOT or JIT — under the new strong-typing default. Use when the user compiles PyTorch to TensorRT without ONNX, hits "enabled_precisions should not be used when use_explicit_typing=True", sees Dynamo graph breaks or PyTorch fallback, debugs ABI errors at import torch_tensorrt, or needs the compatible torch / torch_tensorrt / tensorrt-cu13 version pins for TensorRT 11. Triggers: torch_tensorrt, torch_tensorrt.dynamo.compile, torch.compile backend torch_tensorrt, pytorch to tensorrt, ExportedProgram, Dynamo graph break, use_explicit_typing, enabled_precisions, torch_tensorrt.Input, min_block_size, truncate_double, tensorrt-cu13, version pinning, version compatibility. Adjacent skills: `trt-onnx-quickstart`, `trt-cpp-runtime-quickstart`. LLM token generation belongs in TensorRT-LLM.
InsForgeSkillInsForge/InsForge/.agents/skills/insforge-dev/SKILL.md
Use this skill set when contributing to the InsForge monorepo itself. This is for InsForge maintainers and contributors editing the platform, the shared dashboard package, the self-hosting shell, the UI library, shared schemas, tests, or docs.
InsForgeCopilot instructionsInsForge/InsForge/.github/copilot-instructions.md
database. ## Architecture This is a monorepo containing: - **Backend**: Node.js with Express.js, providing RESTful APIs - **Frontend**: React with Vite, offering an admin dashboard - **Functions**: Serverless function runtime using Deno - **Shared-schemas
zilliztechCLAUDE.mdzilliztech/claude-context/CLAUDE.md
zilliz/claude-context-core`) — the indexing engine. All real logic lives here; the other packages are thin frontends over it. - `packages/mcp` (`@zilliz/claude-context-mcp`) — stdio MCP server, the primary product. ESM (`"type": "module"`). - `packages/vscode-extension` (`semanticcodesearch
Untrivial-aiAGENTS.mdUntrivial-ai/agent-orchestrator/AGENTS.md
loopback HTTP daemon, services, SQLite storage, lifecycle/reaper, runtime/workspace/agent/tracker adapters, terminal mux, and tests. - `frontend/` — Electron + React supervisor wired to the daemon via the generated typed client. Treat
Untrivial-aiSkillUntrivial-ai/agent-orchestrator/.agents/skills/bug-triage/SKILL.md
Help clarify human bug reports, search for duplicates, and gather diagnostic evidence separately from a concise issue draft.
Untrivial-aiCLAUDE.mdUntrivial-ai/agent-orchestrator/CLAUDE.md
agent-orchestrator** — do **not** re-flag old design-reference mismatches. When showing or demoing frontend changes, run `ao preview [url]` from inside the session so the change renders
OpenByteIncSkillOpenByteInc/QuantDinger/.cursor/skills/quantdinger-agent-workflow/SKILL.md
QuantDinger repo workflow for coding agents: layered contracts, safety boundaries, and where backend, strategies, and Docker live. Use when editing Python API, strategies, deployment, or docs/agent.
nidhinjsSkillnidhinjs/prompt-master/SKILL.md
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering work.
MemTensorCLAUDE.mdMemTensor/MemOS/CLAUDE.md
integration / end-to-end cases under `tests/` | The main repo has no frontend stack, so no `frontend-dev` is provided; TypeScript sub-projects under `apps/` use their own AI configuration
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.
