Find the best CLAUDE.md, AGENTS.md and Claude skills

Hugging FaceSkill

release

huggingface/transformers-mlinter/.ai/skills/release/SKILL.md

Cut a new transformers-mlinter release. Bumps the version across all pinned locations, updates the CHANGELOG, runs local checks and a packaged smoke test, drives the tag-based GitHub Actions publish to PyPI, then opens the next development version on main. Use when asked to release, cut a version, or ship X.Y.Z.

Often used withcreate-agent-adapter·documentation-consistency

Hugging FaceSkill

remove-mlinter-rule

huggingface/transformers-mlinter/.ai/skills/remove-mlinter-rule/SKILL.md

Retire a TRF rule from the mlinter. Marks the rule deprecated in rules.toml, deletes its module and tests, and records the removal in the CHANGELOG. Use when asked to remove, retire, drop, or delete a rule.

Hugging FaceAGENTS.md

harbor-hf

huggingface/harbor-hf/AGENTS.md

- This repository is public. Treat all operator-specific information as private. - Do not publish personal names, usernames, account namespaces, email addresses, home paths, machine names, private repository names, private Space or Bucket names, Job IDs, token display names, credential aliases, or private topology. - This rule covers source, documentation, examples, tests, fixtures, generated files, logs, commits, branches, issues, pull requests, comments, and releases. Platform-assigned authorship is the only automatic exception. - Use placeholders such as <namespace>, <control-space>, <artifact-bucket>, and…

Hugging FaceSkill

harbor-hf

huggingface/harbor-hf/.agents/skills/harbor-hf/SKILL.md

Submit, monitor, pause, resume, cancel, and inspect Harbor benchmark runs through the hosted Harbor-HF control service and Hugging Face Jobs.

Hugging FaceSkill

project-authorization

huggingface/harbor-hf/.agents/skills/project-authorization/SKILL.md

Ask for project approval before starting repository work, record the approved scope in the control-plane project file indexed by canonical repository slug, and recover authorization after compaction or session changes. Use before implementing, deploying, publishing, merging, spending, moving credentials, cutting over, or retiring resources for a repository.

Hugging FaceAGENTS.md

mlclaw

huggingface/mlclaw/AGENTS.md

These instructions apply to this repository. This repository follows the TypeScript standards enforced by Slophammer. Before finishing a change, run formatting, lint, typecheck, tests, coverage, build, secret scanning, package validation, and both Slophammer checks. Do not run mutation testing during ordinary implementation work. Keep its configuration and CI declaration current so a dedicated mutation run can be performed separately. Do not report work as complete until the original user-visible workflow has been reproduced and verified end to end in its…

Hugging FaceSkill

hf-broker

huggingface/mlclaw/assets/hf-tooling/skills/hf-broker/SKILL.md

Use ML Claw's HF Broker for protected Hugging Face repository and bucket reads, writes, temporary grants, recovery, and revocation. Use instead of asking for or exposing a Hugging Face access token.

Hugging FacePipes a download into a shellSkill

hf-cli

huggingface/mlclaw/assets/hf-tooling/skills/hf-cli/SKILL.md

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.

Often used withhuggingface-local-models

Hugging FaceSkill

huggingface-best

huggingface/mlclaw/assets/hf-tooling/skills/huggingface-best/SKILL.md

Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.

Hugging FaceSkill

huggingface-spaces

huggingface/mlclaw/assets/hf-tooling/skills/huggingface-spaces/SKILL.md

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.

Hugging FaceAGENTS.md

lerobot-humanoid-model

huggingface/lerobot-humanoid-model/AGENTS.md

This repository is the shared model layer in the LeRobot humanoid stack: Changes here propagate directly to runtime and identification behavior. Provide stable, reusable robot model assets and helper APIs:

Hugging FaceAGENTS.md

lerobot-humanoid-design

huggingface/lerobot-humanoid-design/AGENTS.md

This repository is one part of the LeRobot humanoid stack: Any change here should preserve compatibility with the other four repositories. Develop and validate mechanical/control design choices before hardware commits:

Hugging FaceAGENTS.md

lerobot-humanoid-identification

huggingface/lerobot-humanoid-identification/AGENTS.md

This repository is the identification block in the LeRobot humanoid stack: Identification outputs are used to tune simulator realism for runtime and training loops. Run joint-wise simulator identification with MJWarp + CMA-ES: Run at least one smoke identification command and verify: Preferred smoke shape: CPU, small popsize, maxiter=1, single joint.

Hugging FaceAGENTS.md

research-agent

huggingface/research-agent/AGENTS.md

Reference repositories: fast-agent: ~/source/fast-agent/ prefect fastmcp: ~/source/fastmcp/ model context protocol: ~/ Use codexresponses.gpt-5.6-terra?reasoning=high subagents for research, analysis, review and code production. Design: - Prefab source: research/app_ui.py; preview states: design/preview_states.py. -…

Hugging FaceSkill

birch-html

huggingface/research-agent/research/skills/birch-html/SKILL.md

Use this skill when the user wants a polished, shareable, source-grounded, self-contained HTML artifact in the Birch visual system for engineering, product, planning, review, status, incident, process, codebase, data, or benchmark communication. Trigger for one-pagers, visual summaries, reports, dashboards, module/process explainers, implementation plans, design-direction comparisons, PR/change writeups, findings-first code reviews, incident/status reports, briefing decks, flow diagrams, numeric/data briefs, model/run/token/ time/cost reports, and design-system references. Do not use it for editing production web apps, React/Vue components, or ordinary chat answers.

Hugging FaceAGENTS.md

swarmlab

huggingface/swarmlab/AGENTS.md

No summary in the file. Open it to read it.

Hugging FaceSkill

swarmlab

huggingface/swarmlab/skill/SKILL.md

Run a swarmlab multi-agent experiment end to end with the swarmlab CLI. Use when asked to design, smoke, launch (locally or on HF Jobs), analyse, report on, or publish a swarmlab experiment, or to resume or fork a swarmlab run.

Hugging FaceSkill

release

huggingface/transformers-mic/.ai/skills/release/SKILL.md

Cut a transformers-mic (tmic) release to PyPI. Updates CHANGELOG.md and the single pyproject version, runs the tests and a packaged smoke test, pushes the vX.Y-release branch and, after confirmation, the vX.Y.Z tag that publishes through GitHub OIDC, then opens the next version on main. Use when asked to release tmic, cut a version, or ship X.Y.Z.

Often used withcreate-agent-adapter·documentation-consistency

Hugging FaceAGENTS.md

swarm-sweeper

huggingface/swarm-sweeper/AGENTS.md

Keep imports directional: Enforce this with: This check belongs in CI and in the local pre-commit/pre-push validation flow. When inspecting this repository, never search outside the workspace root unless the…

Hugging FaceSkill

funes

huggingface/funes-integrations/claude/claude-plugin/funes/skills/funes/SKILL.md

Persistent memory over the user's past AI coding sessions, searched and read through the funes MCP tools. Use when the user refers to earlier work, asks what memory is available, or when a past session may already have settled the question.