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

Hugging FaceCLAUDE.md

hub-tutorials

huggingface/hub-tutorials/.claude/CLAUDE.md

AI agent tutorial repository with scripts, notebooks, and presentation materials.

Hugging FaceAGENTS.md

agentcap / agents

huggingface/agentcap/examples/transformers-agentic/skill/agents/AGENTS.md

You have additional SKILLs documented in directories containing a "SKILL.md" file. These skills are: - transformers -> "skills/transformers/SKILL.md" IMPORTANT: You MUST read the SKILL.md file whenever the description of the skills matches the user intent, or may help accomplish their task. transformers: Run one-off Hugging Face Transformers inference from the command line — classify, ner, qa, fill-mask, summarize, translate, tokenize, caption, image-classify, detect, vqa, transcribe, audio-classify, generate, and more. Use this skill whenever a task asks you to run a…

Hugging FaceSkill

transformers

huggingface/agentcap/examples/transformers-agentic/skill/skills/transformers/SKILL.md

Agent-invokable Transformers commands. Pass `--format json` at the top level (e.g. `transformers --format json classify ...`) to receive the structured output documented in each capability's `outputs` schema.

Often used withusfiscaldata·torch-geometric·simpy

Hugging FaceCLAUDE.md

hf-endpoints-documentation

huggingface/hf-endpoints-documentation/CLAUDE.md

Project context and conventions for the Hugging Face Inference Endpoints documentation. Where new content belongs: - A new feature/setting on an existing concept (e.g. a new autoscaling option) → add…

Hugging FaceAGENTS.md

huggingface_hub_rust

huggingface/huggingface_hub_rust/AGENTS.md

Async Rust client library for the Hugging Face Hub API. This is the Rust equivalent of the Python huggingface_hub library. The primary entry point is the HFClient struct, which wraps an Arc<HFClientInner> for cheap cloning. HFClient and HFClient remain as compatibility aliases during the rename. All methods are async and use reqwest as the HTTP client. Paginated endpoints return impl Stream<Item = Result<T>> via futures::stream::try_unfold. Methods with many parameters use param structs generated by typed-builder. Key capabilities: These rules apply…

Hugging FaceAGENTS.md

atif-scan

huggingface/atif-scan/AGENTS.md

Read README.md and SECURITY.md first. Keep the core (data, checks/rules/policy/engine, detectors, packs) stdlib-only and offline; huggingface_hub and rich are imported lazily, only by sources (hf:// inputs) and output (rich, brief_view). tests/test_architecture.py enforces the layers. Do not execute trajectory commands or URLs. Never commit real traces, auth files, raw findings or copied benchmark solutions. Use synthetic fixtures only. Keep model/parsing, detector predicates, rule logic, evaluation, and report export separate. Plugins return typed results. Reports are explicitly allowlisted and contain no snippets.…

Hugging FaceCLAUDE.md

physics-intern

huggingface/physics-intern/CLAUDE.md

In this repo we develop and maintain the core methodology and skills for PhysicsIntern, a framework for using AI agents to conduct physics research. When the user asks a "how…

Hugging FaceSkill

investigate-run

huggingface/physics-intern/.claude/skills/investigate-run/SKILL.md

Post-mortem analysis of a PhysicsIntern workspace run (Claude Code, Pi, Codex, or OpenCode host). Reconstructs the trajectory from the session record — JSONL file(s) for Claude/Pi/Codex, the SQLite store for OpenCode — audits methodology adherence against the workspace's own CLAUDE.md / AGENTS.md and skill/agent prompts, checks commit discipline and flag dispositions, and assesses substantive quality. Produces a thorough evidence-anchored markdown report. Use after a workspace has been worked on to identify what went well, where the methodology slipped, and what prompts to improve.

Hugging FaceSkill

init-physics-intern

huggingface/physics-intern/plugins/claude/plugin/skills/init-physics-intern/SKILL.md

Scaffold a PhysicsIntern research workspace in the current folder.

Hugging FaceSkill

init-physics-intern

huggingface/physics-intern/plugins/codex/plugin/skills/init-physics-intern/SKILL.md

Scaffold a PhysicsIntern research workspace in the current folder. Run only when the user explicitly invokes it to set up a new physics/maths research workspace.

Hugging FaceSkill

hugging-face-evaluation

huggingface/community-evals/.claude/skills/hugging-face-evaluation/SKILL.md

Add evaluation results to Hugging Face model repositories using the .eval_results/ format. Uses HF CLI for PR management and manual YAML creation.

Hugging FaceAGENTS.md

dell-ai

huggingface/dell-ai/AGENTS.md

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

Hugging FaceSkill

dell-ai

huggingface/dell-ai/skills/dell-ai/SKILL.md

Skill for interacting with Dell Enterprise Hub (DEH) - discovering models, exploring hardware platforms, generating deployment snippets, etc.

Hugging FaceAGENTS.md

relore

huggingface/relore/AGENTS.md

relore indexes a repository's complete issue and pull-request history into Postgres and serves it back to coding agents and humans. It is memory of the project's conversation, not of its tree. The build plan is the specification. It carries the reasoning for everything below, and every section N reference in this repository points into it. It is held with the deployment that commissioned it rather than in this repository — it carries operational detail about that deployment — so a…

Hugging FaceAGENTS.md

relore

huggingface/relore/docs/agents.md

(This page is harness wiring. The root AGENTS.md is a different document — the operating contract for contributing to relore itself.) relore --help is the surface to point an agent at first. It names every verb, the order to reach for them in, the environment, and runnable examples — and unlike this page it arrives byte-exact, needs no network and is already installed. A page is rendered, summarized, truncated and cached by whatever sits between it and the reader; one…

Hugging FaceSkill

search-project-history

huggingface/relore/skills/search-project-history/SKILL.md

Ask `relore` what this repository already decided, and what its code looks like now — issues, PR reviews, the pull request that last touched a line, and a server-side lens over the indexed checkout (`grep`, `symbol`, `copies`). Use before starting work on an issue, when about to repeat a change that may have been rejected before, when a test or error looks familiar, when one line needs explaining, or when asking "is this intentional / where does this belong / has anyone hit this".

Hugging FaceAGENTS.md

lerobot-humanoid-runtime

huggingface/lerobot-humanoid-runtime/AGENTS.md

This repository is the execution stack in the LeRobot humanoid project: This repo is where software decisions become physical motion, so safety and compatibility are critical.

Hugging FaceAGENTS.md

moon-ide

huggingface/moon-ide/AGENTS.md

This file is read by AI coding agents (Cursor, Claude Code, opencode, etc.) when working in this repo. Humans read it too.

Hugging FaceAGENTS.md

transformers-mlinter

huggingface/transformers-mlinter/.ai/AGENTS.md

Run make format or make lint and make test before wrapping up a change. - Rule modules live in mlinter/trf*.py. - Rule metadata lives in mlinter/rules.toml. - Rule-specific tests live in tests/test_trfXXX.py, one file per rule. - Shared rule-test helpers live in tests/rule_test_utils.py; rule test classes should inherit from RuleTestCase when they use the standard _run(rule, source, file_name=...) helper. - General CLI, registry, cache, discovery, and public-API tests live in tests/test_mlinter.py. - Skills live under .ai/skills/. - The docs site…

Hugging FaceSkill

add-mlinter-rule

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

Add a new TRF rule to the mlinter. Checks for duplicates, creates the rule module and TOML entry, runs against all models, and handles violations (fix or allowlist).