Claude skills and agent skills

Hugging FaceSkill

autolab-reporter

huggingface/context-course/projects/pre-training/.agents/skills/autolab-reporter/SKILL.md

Operate the local Trackio reporter for Autolab HF Jobs. Use when a reporter or planner needs to inspect scores, active jobs, worker anomalies, duplicate launches, or the overall experiment board.

Hugging FacePipes a download into a shellSkill

hf-cli

huggingface/context-course/projects/pre-training/.agents/skills/hf-cli/SKILL.md

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.

Hugging FaceSkill

transformers-to-mlx

huggingface/transformers-to-mlx/skills/transformers-to-mlx/SKILL.md

Convert Hugging Face transformers language models to MLX format for Apple Silicon inference. Use when asked to convert a model from transformers to MLX, port a model to MLX, create an MLX implementation of a model, or test/validate an MLX model conversion. Triggers include mentions of "convert to MLX", "MLX implementation", "port to MLX", "mlx-lm", or requests involving both transformers and MLX frameworks.

Hugging FaceSkill

investigate-autophysicist-run

huggingface/physics-intern-v0/.claude/skills/investigate-autophysicist-run/SKILL.md

Investigates an Autophysicist workspace run. Use to understand what went wrong and could be improved in the single-agent iterative research process.

Hugging FaceSkill

investigate-run

huggingface/physics-intern-v0/.claude/skills/investigate-run/SKILL.md

Investigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process.

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 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 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 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 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).

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 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 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.