菜单
Run GitHub Copilot CLI as a read-only sub-agent from Claude Code. Use when: (1) User says 'gco', 'copilot', or 'ask copilot', (2) Delegating code review or research to Copilot, (3) Getting a second opinion on code or architecture. Read-only mode (no file writes), gpt-5.4 model.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Sweep open GitHub issues — optionally narrowed by label — and drive each to completion via `/big-plan -m -a`. Collects candidates, triages out work that needs careful human judgment, confirms once, then handles the rest autonomously one issue at a time. Use when: (1) User says '/issue-sweep', 'sweep issues', 'sweep open issues', 'handle the open issues', 'clear the issue backlog', or 'do the issues', (2) The user wants to batch-process a label's worth of issues (e.g. `agent-found`, `mac`), (3) After a work round that left a pile of follow-up issues. Options: "`-f`/`--filter LABEL` keeps only issues carrying that label; `-ex`/`--exclude LABEL`" drops issues carrying it; with no options it sweeps ALL open issues. Locally-checkable "verify X" tasks are verified directly and closed (not run through `/big-plan`). Skips issues that need careful human judgment (huge multi-major version bumps, super-big epics, design calls); verification tasks that can't be auto-verified locally (auth/deploy/external/subjective) are
Generate or redesign raster images (PNG mockups, illustrations, photos, UI design polish) from inside Claude Code by driving Codex CLI's built-in $imagegen, billed to ChatGPT-included usage instead of per-image OpenAI API charges. Use whenever the user wants to create/generate an image, make a mockup or illustration, produce a photo, polish or redesign a UI from a screenshot, or get a PNG out of a session — even if they don't mention Codex or "imagegen". This is the preferred image-generation path because Anthropic models cannot generate raster images and this route avoids API billing.
Iterative visual design-polish loop for an existing or WIP web UI. Each round: capture the live page as screenshots, judge it from the rendered pixels, and apply CSS polish toward a better-looking target using /css-wisdom's tight-token strategy — then re-capture and compare. The target direction is set by codex-imagegen 'north-star' mockups generated from the current screenshot, so the loop pursues a genuinely better look instead of nudging the existing one in place. Use when: (1) user says 'design-polish-loop', 'polish loop', 'polish this page/design/UI', (2) user wants to level up / upgrade the look of a current design or WIP project, (3) user wants AI-proposed redesign directions applied to a real rendering page, (4) user calls a design plain, dated, flat, or unpolished and wants it improved. Main use case: improving the current design of a WIP project. It polishes what already renders — not brand-new-from-scratch pages.
Bump every `@takazudo/*` registry dependency in the current project to its newest version, resolving each by the channel it currently tracks. Use when: (1) User says '/dev-bump-zudo-deps', 'bump zudo deps', 'bump the @takazudo packages', 'update zfb', 'update zudo-doc', or 'update the takazudo toolchain to latest', (2) A new `@takazudo/*` prerelease or release has shipped and this project should adopt it, (3) Routine first-party dependency-update rounds. Resolution rule: a dep currently on the `next` prerelease line (`0.1.0-next.N`) → newest `next` release; a dep on the literal `latest` tag → `dist-tags.latest`; a plain stable semver → newest stable. Skips `workspace:`/`file:`/`link:` specs and leaves operator style (exact / `^` / `~`) and prerelease channel intact. A bundled script does the discovery + semver resolution; this skill drives install + verify + report.
Plan implementation by breaking work into one epic GitHub issue + child sub-issues. Use when: (1) User says '/big-plan', (2) User wants to plan an implementation before coding, (3) User wants to split a feature into small issues for parallel agent team work, (4) User references existing issues (e.g. 'implement issue #123', 'plan all open issues', 'plan recent 3 open issues'). Auto-reads project-scope l-lessons-* skills (from /retro-notes) before planning. Codex (-co) is the DEFAULT Step 5 plan reviewer — it runs even when no reviewer flag is passed; -op/-gco add more second opinions (runnable in parallel). Use -a/--auto to run the chain autonomously: skip the Step 6 confirmation wait (pausing only when something needs careful consideration), auto-create the issues, then auto-invoke the implementation skill in the same session — /x-wt-teams for a multi-sub-issue plan, /x-as-pr for a single-sub-issue plan — forwarding -a so multi-wave plans auto-chain wave after wave. Use -m/--merge to also merge the final PR i
Purge GitHub Actions caches across every non-archived repo for one or more GitHub owners (users or orgs). Use when (1) the user says "purge gh cache", "clear actions cache", "delete CI cache", or invokes /dev-purge-gh-cache, (2) the user wants to free up GitHub Actions cache storage for an account/org, (3) the user names one or more GitHub owners (e.g. "Takazudo", "zudolab") and asks to wipe their Actions caches. Handles fan-out across all repos, parallel survey, bulk delete, and real-time verification.
| name | gco |
| description | Run GitHub Copilot CLI as a read-only sub-agent from Claude Code. Use when: (1) User says 'gco', 'copilot', or 'ask copilot', (2) Delegating code review or research to Copilot, (3) Getting a second opinion on code or architecture. Read-only mode (no file writes), gpt-5.4 model. |
| user-invocable | true |
| argument-hint | <prompt> |
| allowed-tools | ["Bash(bash *)","Bash(timeout *)","Bash(gtimeout *)","Bash(node *)"] |
Run GitHub Copilot CLI in read-only mode for code review, research, and investigation tasks.
-p (prompt) and -s (silent output)--deny-tool='write' (hard tool-level block) and read-only preamble in prompt--no-ask-user and --allow-all-tools for fully autonomous executiongpt-5.4Take the user's request and use it as the copilot prompt. If the user provides /gco with arguments, use those as the prompt directly.
LOGDIR=$(node $HOME/.claude/scripts/get-logdir.js)
mkdir -p "$LOGDIR"
DATETIME=$(date +%Y%m%d_%H%M%S)
SLUG="<short-topic-slug>"
bash $HOME/.claude/skills/gco/scripts/gco-run.sh \
"<prompt>" \
"$LOGDIR/${DATETIME}-gco-${SLUG}.md" \
"$LOGDIR/${DATETIME}-gco-${SLUG}-stderr.log"
Run as a background Bash task with 15-minute timeout.
$LOGDIR/${DATETIME}-gco-${SLUG}.md)~ in paths — use $HOME$LOGDIR/${DATETIME}-gco-* (timestamped)