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.
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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.
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.
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.
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.
Create 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.
Optimize an ipython-harness (ipyh) harness for a suite of tasks (e.g. Harbor tasks) with ipyh-optimize, Harness²-style and without rollouts, playing the INV editor, DOM editor, composer and reflector roles in this session. Use when asked to optimize, tune or improve a harness for a set of tasks or a benchmark, or to build an ipyh harness folder for one.
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