skills/pr-make-suggestion-edit/SKILL.md
Review current PR and make improvement edits without committing. Use when: (1) User says 'suggestion edit', 'suggest improvements', or 'review and edit', (2) User wants code quality improvements as unstaged edits for selective PR creation. Companion to /pr-make-suggestion-to-pr.
npx skillsauth add takazudo/claude-resources pr-make-suggestion-editInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Review the current PR comprehensively and make suggestion edits to improve code quality, without committing or pushing changes.
First, gather context about the current PR:
git branch --show-currentgh pr viewgit diff main...HEAD (or appropriate base branch)git log --oneline -10Run these two reviews simultaneously:
subagent_type: "code-reviewer"/codex-review (OpenAI Codex CLI via the openai-codex plugin; silently falls back to Opus reviewers when codex is unavailable)Categorize findings by type and priority:
Present a clear, organized summary and ask for approval before making edits.
After user approval:
After making edits, show git status and diff.
CRITICAL - DO NOT:
git addgit commitgit pushDO:
/pr-make-suggestion-to-pr will create PRs from these editstools
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.