skills/gco-2nd/SKILL.md
Get a second opinion from GitHub Copilot CLI on a plan or approach. Use when: (1) Planning phase of /x-as-pr or /x-wt-teams to validate the approach, (2) User says 'gco 2nd', 'copilot 2nd', or 'copilot opinion', (3) Wanting an alternative perspective before committing to a plan.
npx skillsauth add takazudo/claude-resources gco-2ndInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Get a second opinion from GitHub Copilot CLI on a plan, approach, or codebase exploration.
Before doing anything, check if Copilot is currently in degraded mode:
RATE_CHECK=$(node $HOME/.claude/scripts/gco-rate-limit.js check 2>&1)
If the output starts with degraded:, notify the user that Copilot is in low-cost mode (auto-downgraded model) but proceed with Copilot anyway — it is still usable. Do NOT skip.
Construct a prompt that includes:
You are reviewing a development plan. Provide a second opinion.
## Context
<what the project is, what repo we're in>
## Current Plan
<the plan or approach being considered>
## Questions
1. Are there any risks, edge cases, or issues with this approach?
2. Is there a simpler or better alternative?
3. Are there any files or areas of the codebase that should be considered but aren't mentioned?
4. Any other suggestions or concerns?
Be concise and practical. Focus on actionable feedback. If the plan looks solid, say so briefly — don't invent problems.
LOGDIR=$(node $HOME/.claude/scripts/get-logdir.js)
mkdir -p "$LOGDIR"
DATETIME=$(date +%Y%m%d_%H%M%S)
bash $HOME/.claude/skills/gco/scripts/gco-run.sh \
"<prompt>" \
"$LOGDIR/${DATETIME}-gco-2nd.md" \
"$LOGDIR/${DATETIME}-gco-2nd-stderr.log"
Timeout: 15 minutes.
Return the Copilot feedback to the caller. The caller decides whether to incorporate it into the plan.
No fallback needed. If Copilot fails, skip — the plan proceeds without the second opinion. This is advisory, not critical.
~ in paths — use $HOMEtools
Acceptance gate for a branch produced by an OpenAI Codex CLI run — usually Codex implementing a /big-plan epic that was handed off to it. Codex reports the work 'done' (or the user flags it WIP with corrections); this skill confirms the branch actually fulfils the original spec, fixes what falls short, and routes larger discoveries into GitHub issues. Use when: (1) User says '/finalize-codex-work', 'finalize codex work', 'confirm the codex work', 'check the codex branch', or 'codex said it's done', (2) A branch is the result of a Codex CLI session and needs verification against its spec issue/PR, (3) After assigning a /big-plan epic to Codex CLI. Pass -m/--merge to run /pr-complete -c at the end.
tools
Read a Figma design node directly from a share URL via the Figma REST API — no Dev Mode subscription, no MCP, no desktop app. Renders the node to PNG and dumps its full style/layout JSON so the design can be described, compared, or implemented. Use whenever the user gives a Figma design URL (figma.com/design/... or /file/...) and wants to see, read, inspect, reference, or implement that node — including `/fig-url-refer <url>`. This is the URL-based counterpart to `/figrefer` (which needs a Dev-plan desktop MCP); prefer this one when the input is a URL rather than a live desktop selection.
tools
Sync the user's Claude Code workflow skills into the OpenAI Codex CLI settings repo ($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.