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这个仓库中的 skills
Autonomous project gardening. Scans for maintenance issues (starting with documentation), picks one, fixes it in a worktree, self-reviews with competing agents, and opens a PR. Use when the user wants to tidy up the project, fix stale docs, or generally tend the codebase. Invoke with /garden.
Write and maintain an implementation diary capturing what changed, why, what worked, what failed (with exact errors and commands), what was tricky, and how to review and validate. Activates proactively during non-trivial implementation work (new features, bug fixes, refactors, research spikes). Does not activate for trivial tasks like one-line fixes, config tweaks, or quick questions.
Autonomous experiment loop that iteratively improves a measurable metric. Given a goal, a verify command, and an optional guard, the agent branches, makes one change, measures the result, and keeps or discards the experiment -- repeating indefinitely. Use this skill when the user wants to optimize something measurable through automated experimentation, autonomous improvement loops, or when they mention "autoresearch". Works for any domain with a quantifiable metric (code performance, ML training, build size, test scores, content quality metrics, etc.).
Address code review feedback by walking through comments one at a time with the user. Use when the user has received code review comments — on a GitHub PR, in a document in the repo, or directly in conversation — and wants to work through them methodically. Also trigger when the user mentions "address review", "review comments", "PR feedback", or wants to respond to code review feedback.
Guide for how to develop Go apps and modules/libraries. Always use this skill when reading or writing Go code.
Guide for posting content to the Bluesky social network using the bsky terminal app. This skill should be used proactively when working in public repositories and there is interesting, shareable content (new features, insights, achievements, or announcements worth sharing with the community). Use it when asked to post to Bluesky, or when content seems worth sharing publicly.
For when you're asked to write a design doc or specification, especially after a brainstorm or feature design session.
Guide for creating and working with marimo notebooks, the reactive Python notebook that stores as pure .py files. This skill should be used when creating, editing, running, or deploying marimo notebooks.
Guide for building interactive web UIs with Datastar and gomponents-datastar. Use this skill when adding frontend interactivity to Go web applications with Datastar attributes.
Guide for generating and editing images using generative AI with the nanobanana CLI
Guide for saving a web page for offline use using the monolith CLI. Use this when instructed to save a web page.
Guide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.
Guide for using git worktrees to parallelize development with coding agents. Use this skill when the user requests to work in a new worktree or wants to work on a separate feature in isolation (e.g., "Work in a new worktree", "Create a worktree for feature X").
Guide for working with gomponents, a pure Go HTML component library. Use this skill when reading or writing gomponents code, or when building HTML views in Go applications.
Guide for using git according to my preferences. Use it when you're asked to commit something.
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
Guide for recording significant architectural and design decisions in docs/decisions.md. Use this skill when clearly significant architectural decisions are made (database choices, frameworks, core design patterns) or when explicitly asked to document a decision. Be conservative - only suggest for major decisions, not minor implementation details.
Guide for how to brainstorm an idea and turn it into a fully formed design.