skills/gcoc/SKILL.md
GitHub Copilot CLI cheap mode — same as /gco but forces the free gpt-4.1 model. Use when: (1) User says 'gcoc', 'copilot cheap', or 'ask copilot cheap', (2) Premium quota is low/exhausted, (3) Task doesn't need opus reasoning — simple lookups, quick reviews, translations. Read-only (no file writes).
npx skillsauth add takazudo/claude-resources gcocInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Same behavior as /gco — read-only sub-agent for review, research, and investigation — but forces the free gpt-4.1 model from the start. No Premium Requests consumed.
gpt-4.1 (forced via GCO_MODEL=gpt-4.1) — not claude-opus-4.6gpt-4.1 is already the cheapest tierFollow the exact same process as /gco, but prefix the gco-run.sh invocation with GCO_MODEL=gpt-4.1:
LOGDIR=$(node $HOME/.claude/scripts/get-logdir.js)
mkdir -p "$LOGDIR"
DATETIME=$(date +%Y%m%d_%H%M%S)
SLUG="<short-topic-slug>"
GCO_MODEL=gpt-4.1 \
bash $HOME/.claude/skills/gco/scripts/gco-run.sh \
"<prompt>" \
"$LOGDIR/${DATETIME}-gcoc-${SLUG}.md" \
"$LOGDIR/${DATETIME}-gcoc-${SLUG}-stderr.log"
Run as a background Bash task with 15-minute timeout.
Do NOT report "used gpt-4.1 because of no quota" — the user deliberately chose cheap mode, it's not a fallback.
~ in paths — use $HOME$LOGDIR/${DATETIME}-gcoc-* (timestamped)tools
Acceptance gate for a branch produced by an OpenAI Codex CLI run — usually Codex implementing a /big-plan epic that was handed off to it. Codex reports the work 'done' (or the user flags it WIP with corrections); this skill confirms the branch actually fulfils the original spec, fixes what falls short, and routes larger discoveries into GitHub issues. Use when: (1) User says '/finalize-codex-work', 'finalize codex work', 'confirm the codex work', 'check the codex branch', or 'codex said it's done', (2) A branch is the result of a Codex CLI session and needs verification against its spec issue/PR, (3) After assigning a /big-plan epic to Codex CLI. Pass -m/--merge to run /pr-complete -c at the end.
tools
Read a Figma design node directly from a share URL via the Figma REST API — no Dev Mode subscription, no MCP, no desktop app. Renders the node to PNG and dumps its full style/layout JSON so the design can be described, compared, or implemented. Use whenever the user gives a Figma design URL (figma.com/design/... or /file/...) and wants to see, read, inspect, reference, or implement that node — including `/fig-url-refer <url>`. This is the URL-based counterpart to `/figrefer` (which needs a Dev-plan desktop MCP); prefer this one when the input is a URL rather than a live desktop selection.
tools
Sync the user's Claude Code workflow skills into the OpenAI Codex CLI settings repo ($HOME/.codex) as Codex-native ports, fix the Codex .gitignore for new local state, then commit and push. Use when: (1) user says '/dev-codex-sync-settings-from-claude', 'sync codex settings', 'sync claude skills to codex', 'port skills to codex', or 'update codex from claude'; (2) after updating ~/.claude workflow skills (big-plan, x, x-as-pr, x-wt-teams) and Codex should catch up; (3) the $HOME/.codex repo has drifted behind $HOME/.claude. The ports are condensed Codex-native REWRITES, never file copies.
development
Analyze a video file (mov, mp4, webm, etc.) or a YouTube video by extracting still frames with ffmpeg and reading them chronologically with vision — Claude cannot ingest video files directly. Use whenever the user provides a video file path or YouTube URL and wants to know what happens in it: "read this video", "watch this video", "check this recording", "what happens in this .mov/.mp4", analyzing a screen recording of a UI bug, or verifying UI behavior captured in a video, even if they don't name this skill.