AI Agent Skills

Integrating Stable Diffusion for vision generation and Whisper for audio/multimodal tasks.

Best practices for dataset preparation and PEFT/LoRA fine-tuning.

First principles of AI societal structures and multi-agent interaction paradigms.

First principles of tool/environment grounding, structured outputs, and error recovery for AI agents.

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Verify a third-party library, asset, model, font, dataset or copied snippet is safe to ship under the project's licensing stance, and record it. Use before adding or upg…

Write, review or apply a database schema migration without destroying data. Use for any task that creates or modifies a migration file (Alembic, Prisma, Django, Rails, F…

Write or revise a plan file, proposal, design doc or handoff the user reviews before approving work; carries the Review Card contract and the addendum rules. Use before…

Frame a spike so its result is a decision: the question, the cheapest experiment, a numeric exit criterion, the measured result, the machine it ran on. Use when asked to…

Bound what subagents return and what tool output enters the transcript; load when briefing a subagent or reading large output.

Contribute from a fork to a repository you do not own without burning maintainer trust. Use when the working repo has an `upstream` remote, when the user says "open a PR…

Isolate an agent's work in its own git worktree branched off the default branch, so two agents never land conflicting changes on the shared checkout. Use at the start of…