- Tiny Model CreatorCreate a small random Hugging Face model that preserves the original architecture and can serve as a local Optimum Intel repository test fixture.huggingface/optimum-intel623
- Space DoctorDiagnose broken Hugging Face Gradio Spaces from their actual logs and pinned source, then prepare a minimal verified source fix as candidate files. Use for scheduled Space monitoring, BUILD_ERROR or RUNTIME_ERROR triage, Gradio and ZeroGPU failures, source analysis, and patch preparation. Read-only against the Hub - it never uploads, publishes, or restarts anything.huggingface/hf-mcp-server302
- Autolab Hermes DelegationUse Hermes delegate_task cleanly in this repo for planner, reviewer, researcher, reporter, experiment-worker, and memory-keeper roles.huggingface/context-course100
- Autolab Managed ExperimentRun one Autolab benchmark experiment safely on Hugging Face Jobs. Use when a planner, reviewer, or experiment worker is preparing, auditing, launching, or reviewing a single train.py hypothesis against the current local promoted master.huggingface/context-course100
- Autolab ReporterOperate 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.huggingface/context-course100
- Hf CliHugging 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.huggingface/context-course100
- Huggingface Local ModelsUse to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.huggingface/context-course100
- Investigate Autophysicist RunInvestigates an Autophysicist workspace run. Use to understand what went wrong and could be improved in the single-agent iterative research process.huggingface/physics-intern49
- Investigate RunInvestigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process.huggingface/physics-intern49
- Transformers To MlxConvert 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.huggingface/transformers-to-mlx48
- S2 CliSemantic Scholar CLI (`s2`) for on-demand citation graph lookup: papers a work cites, papers that cite a work, and graph search across 200M+ papers. Use whenever the user asks for Semantic Scholar, S2, cited papers, references, bibliography, citing papers, citation count from Semantic Scholar, or papers outside a local catalog. Prefer `s2` over curl or ad-hoc Graph API requests.huggingface/s2-cli31
- Init Physics InternScaffold a PhysicsIntern research workspace in the current folder.huggingface/physics-intern-skills16
- Init Physics InternScaffold 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.huggingface/physics-intern-skills16
- Investigate RunPost-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 onhuggingface/physics-intern-skills16
- Hugging Face EvaluationAdd evaluation results to Hugging Face model repositories using the .eval_results/ format. Uses HF CLI for PR management and manual YAML creation.huggingface/community-evals14
- Dell AiSkill for interacting with Dell Enterprise Hub (DEH) - discovering models, exploring hardware platforms, generating deployment snippets, etc.huggingface/dell-ai13
- Hf BrokerUse 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.huggingface/mlclaw10
- Hf CliHugging 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; confighuggingface/mlclaw10
- Hf MemHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hubhuggingface/mlclaw10
- Huggingface BestUse 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 skihuggingface/mlclaw10
- Huggingface DatasetsUse this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.huggingface/mlclaw10
- Huggingface GradioBuild Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.huggingface/mlclaw10
- Huggingface Local ModelsUse to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.huggingface/mlclaw10
- Huggingface PapersLook up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.huggingface/mlclaw10
- Huggingface SpacesBuild, 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.huggingface/mlclaw10
- Huggingface Tool BuilderUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.huggingface/mlclaw10
- Huggingface ZerogpuAI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure thuggingface/mlclaw10
- MlclawUse when setting up, operating, migrating, repairing, or explaining an OpenClaw deployment on Hugging Face with the ML Claw `mlclaw` CLI. Covers the browser Space gateway, Hugging Face OAuth, local gateway mode, private Storage Buckets, Telegram as an optional connector, Docker context pinning, model selection through the Hugging Face Router, OpenAI API key setup, costs, diagnostics, and state safety.huggingface/mlclaw10
- Harbor HfSubmit, monitor, pause, resume, cancel, and inspect Harbor benchmark runs through the hosted Harbor-HF control service and Hugging Face Jobs.huggingface/harbor-hf9
- Project AuthorizationAsk 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.huggingface/harbor-hf9
- Search Project HistoryAsk `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".huggingface/relore9
- Add Mlinter RuleAdd 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).huggingface/transformers-mlinter7
- Birch HtmlUse 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, numerichuggingface/research-agent7
- Hf Space DeployerDeploy fast-agent MCP Servers to Hugging Face Spaces using Docker. Use when the user wants to deploy an "agent card" as an MCP Server. Includes templates and CLI commands for deploying agent cards with custom tools to HF Spaces.huggingface/research-agent7
- ReleaseCut 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.huggingface/transformers-mlinter7
- Remove Mlinter RuleRetire 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.huggingface/transformers-mlinter7
- TransformersAgent-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.huggingface/agentcap7
- Farmer SetupSet up slop-farmer for a GitHub repository end-to-end. Use this whenever the user mentions slop-farmer setup, creating a repo config, choosing scrape limits, checking GitHub rate limits, cleaning PR template boilerplate, inspecting issue/PR title patterns with gh, installing or authenticating the Hugging Face hf CLI, publishing datasets, reproducing dashboards, or deploying the static dashboard to a Hugging Face Space. Be proactive even if the user only asks for one piece of the setup, because chuggingface/swarm-sweeper6
- Search Project HistorySearch a repository's issue and PR history with `ghlore` — what a maintainer already said about a file, a failure, or a design decision. Use when a code search came back empty, when about to repeat a change that may have been rejected before, when a test or error looks familiar, or when asking "is this intentional / where does this belong / has anyone hit this". NOT for finding code — use grep for that.huggingface/ghlore3
- FunesPersistent 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.huggingface/funes-integrations2
- Init Physics InternScaffold a PhysicsIntern research workspace in the current folder.huggingface/physics-intern-claude-plugin2
- Space Demo VideoCreate a polished social demo video (MP4, 4:3, ~10s) for any Hugging Face Space with the space-demo-kit renderer. Use whenever the user asks for a demo, promo, showcase, or social video of a HF Space or model. Covers template selection (i2v, t2v, edit, avatar, a2a, gallery, vqa), manifest schema, live asset capture, rendering, verification, and delivery.huggingface/space-demo-kit1
- Add Or Fix Type CheckingFixes broken typing checks detected by ty, make typing, or make check-repo. Use when typing errors appear in local runs, CI, or PR logs.huggingface/transformers-test-ci
- Init Physics InternScaffold 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.huggingface/physics-intern-codex-plugin