Implements triaged review actions, commits focused fixes, and posts Done plus resolves threads. Use when the user wants only the implementation phase of the review-framework workflow.
npx skills add https://github.com/prisma/prisma --skill review-implement-phase
Run only the implementation phase of the review-framework loop:
take triaged will_address actions, make code changes, commit in logical steps, post GitHub status updates, and update action status.
Run commands from this skill directory. All script paths below are relative to it.
review-actions.json in output dirIf output directory is omitted, derive:
wip/reviews/<owner>_<repo>_pr-<number>/
<output-dir>/review-actions.json must exist and be valid v2.
System dependencies required on PATH:
gh (GitHub CLI)If gh is missing, halt immediately and ask the user to install it. The implement-phase scripts no longer depend on jq.
GitHub admin capability must be available before starting implementation:
node ./scripts/check-github-admin-ready.mjs --pr <PR_URL>
If missing, instruct user to run:
/review-fetch-phase <PR_URL> [output-dir]/review-triage-phase <PR_URL> [output-dir]decision: will_addressstatus: pending | in_progresscheck-github-admin-ready.mjs and fail fast if unavailablegh pr review --comment ...addPullRequestReview, addPullRequestReviewComment, addPullRequestReviewThread (this workflow never uses pending reviews)addPullRequestReviewThreadReply (or wrapper script)addComment (or wrapper script)review_thread targets, always reply using thread replies (never inline PR review comments).addPullRequestReviewThreadReply.pull_request_review targets (review-body findings, PRR_… node ids), inline replies are not possible. post-review-thread-reply.mjs auto-detects this and posts a top-level PR issue comment instead (response kind: "issue_comment"); there is no thread to resolve, so the implementer skips resolve-review-thread.mjs for these and records the issue-comment id in the action's done record../agents/review-implementer.mdtarget.kind === "review_thread" and a threadNodeId is available. pull_request_review targets have no inline thread, so the implementer skips the resolve step for them and records the issue-comment id in the action's done record (per behavior step 3).node ./scripts/post-review-thread-reply.mjs --repo <owner>/<repo> --pr <number> --comment-node-id <primaryCommentNodeId> --body "<text>" (works for both review_thread and pull_request_review — auto-detects node kind)node ./scripts/resolve-review-thread.mjs --thread-node-id <threadNodeId> (only for review_thread targets)python -c, node -e, ruby -e, ad-hoc awk/sed JSON parsing)status: done after Done (and, for review_thread targets, resolve) succeedsreview-actions.json (status, done.doneAt, done.summary, done.commits) in the same completion stepnode ../review-triage-phase/scripts/render-review-actions.mjs --in <output-dir>/review-actions.json --out <output-dir>/review-actions.md
Return:
review-actions.json, review-actions.md)Suggest next steps:
/review-fetch-phase <PR_URL> [output-dir]/review-triage-phase <PR_URL> [output-dir]Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take prisma/review-implement-phase from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.