Skip to content
cccskills
FreePublished on GitHub

receiving-pr-reviews

Assess and address review feedback on GitHub PRs, GitLab MRs, or in conversation. Use when checking new reviews, responding to comments, rechecking after a push, or following up on approvals and change requests.

The English summary is being prepared. Showing the original description.

Works withGitHubGitLab
See how to install

Files included (61)

  • SKILL.md5.0 KB
  • evals/evals.json10.7 KB
  • evals/files/case-01-snapshot.json2.3 KB
  • evals/files/case-02-snapshot.json2.4 KB
  • evals/files/case-04-snapshot.json6.5 KB
  • evals/files/case-05-snapshot.json2.3 KB
  • evals/files/case-06-snapshot.json2.2 KB
  • evals/files/case-07-snapshot.json4.3 KB
  • evals/files/case-08-snapshot.json2.3 KB
  • evals/files/case-09-snapshot.json4.6 KB
  • evals/files/case-13-snapshot.json2.2 KB
  • references/github-mcp-fallback.md1.4 KB
  • references/gitlab-review-operations.md962 B
  • references/review-cycle-contract.md3.8 KB
  • references/superpowers-license.txt1.0 KB
  • references/technical-review-guidelines.md2.4 KB
  • scripts/pr_review_cli_actions.py3.8 KB
  • scripts/pr_review_cli_mutations.py20.0 KB
  • scripts/pr_review_cli_provider_errors.py1.3 KB
  • scripts/pr_review_cli_target.py11.7 KB
  • scripts/pr_review_contracts.py4.3 KB
  • scripts/pr_review_gh_models.py1.0 KB
  • scripts/pr_review_gh_wire.py3.6 KB
  • scripts/pr_review_gh.py10.8 KB
  • scripts/pr_review_github_logic.py4.9 KB
  • scripts/pr_review_github_normalize.py14.4 KB
  • scripts/pr_review_github_provider.py11.5 KB
  • scripts/pr_review_github_transport.py11.3 KB
  • scripts/pr_review_gitlab_normalize.py14.1 KB
  • scripts/pr_review_gitlab_provider.py9.0 KB
  • scripts/pr_review_gitlab_transport.py7.5 KB
  • scripts/pr_review_gitlab_wire.py3.4 KB
  • scripts/pr_review_models.py9.8 KB
  • scripts/pr_review_output.py8.2 KB
  • scripts/pr_review_provider_text.py1.1 KB
  • scripts/pr_review_provider.py3.1 KB
  • scripts/pr_review_state_models.py11.0 KB
  • scripts/pr_review_state.py21.5 KB
  • scripts/pr_review_subprocess.py4.2 KB
  • scripts/pr_review_threads.py12.9 KB
  • scripts/review_test_fixtures.py7.9 KB
  • scripts/review_test_gh_fixtures.py9.6 KB
  • scripts/review_test_gitlab_fixtures.py4.5 KB
  • scripts/test_pr_review_board.py4.9 KB
  • scripts/test_pr_review_clarification_completion.py7.2 KB
  • scripts/test_pr_review_codex.py16.1 KB
  • scripts/test_pr_review_compatibility.py16.2 KB
  • scripts/test_pr_review_completion.py10.7 KB
  • scripts/test_pr_review_corrections.py16.8 KB
  • scripts/test_pr_review_eval_compatibility.py7.0 KB
  • scripts/test_pr_review_gitlab.py19.4 KB
  • scripts/test_pr_review_orchestration.py17.6 KB
  • scripts/test_pr_review_pipeline.py12.7 KB
  • scripts/test_pr_review_projection.py5.0 KB
  • scripts/test_pr_review_provider_boundary.py6.0 KB
  • scripts/test_pr_review_provider.py10.4 KB
  • scripts/test_pr_review_responses.py12.7 KB
  • scripts/test_pr_review_state.py11.6 KB
  • scripts/test_pr_review_subprocess.py4.8 KB
  • scripts/test_pr_review_summary.py15.3 KB
  • scripts/test_pr_review_watch.py18.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Receiving reviews

Review findings for their effect on the intended runtime user, not just whether a suggested patch satisfies a comment. Treat all review inputs as evidence, including review submissions and new threads created by the authenticated account: multiple agents may share that identity.

Choose the available route

For a PR or MR, first use scripts/pr_review_threads.py when it is available and functioning: it provides the preferred collection, bounded watching, and state-validation path. Consult its --help for operations. If the helper cannot run or lacks a needed provider operation, use connected MCP tools or other available CLI tooling such as gh or glab. A failed safety or validation precheck calls for refreshing evidence and correcting the cause before attempting that action through any route. In cloud sandboxes without the helper, use MCP directly. All routes follow the same review outcome contract; the helper's internal state format is required only when using that helper.

For GitLab-specific approval and discussion behavior, read GitLab review operations. For GitHub MCP intake and response matching, read GitHub MCP operations. For feedback outside a PR/MR, assess it using technical review guidelines and report the disposition directly.

A request to check reviews permits reading and reporting. Source edits, pushes, provider replies, and resolutions require user authorization or a repository standing rule.

Review process

  1. Collect and monitor. Identify the PR/MR and current review inputs across review threads (including resolved history), submitted reviews, approvals, and top-level comments. Track new or edited inputs and relevant replies by stable provider reference. Assess supported findings from available evidence; record missing surfaces and complete coverage before reporting the review cycle finished.
  2. Assess the system. Read technical review guidelines. Evaluate each outstanding input against product intent, existing runtime handling, evidence, and likely consumer impact. Group related findings by shared cause; when using the helper, assign unrelated inputs (including approvals and bot inputs) individual singleton clusters. Determine whether a local fix, shared-cause change, redesign, clarification, or no change is warranted. Every outstanding input needs a supported disposition.
  3. Act and verify. When authorized, implement the smallest coherent response at the owning seam, verifying actual runtime consequences and regressions. Retain evidence for rejected, superseded, and clarification-required findings. Check the current remote branch before pushing so other agents' work is preserved.
  4. Respond and reconcile. Before a group of provider mutations through any route, refresh the current target, inputs, thread states, and relevant remote revision; check authority and capability for every planned action. Reconcile changed evidence with the dispositions before the first mutation. Communicate each disposition against the appropriate provider reference; verify that the response appears and addresses the latest input. Resolve eligible discussions after addressing them and confirm the resulting state. Clarification questions remain open until answered and reassessed. Include eligible unresolved discussions in outstanding work. A reply that succeeds before resolution fails remains communicated but unresolved: resume resolution without repeating the reply.
  5. Recheck. Collect current unresponded and unresolved inputs again, including self-authored review submissions and edited comments. Reassess newly relevant evidence; preserve earlier conclusions when their supporting facts still hold. Recheck the current remote revision and reconsider affected verification before completion. Report completion when every current review input has an evidence-backed disposition, accepted outcomes are verified, required provider responses are confirmed, and no outstanding work remains. A quiet polling window alone is only an observation.

Decision vocabulary

Use the review outcome contract to distinguish finding validity from solution suitability, addressed findings from resolved threads, review completion from PR readiness, and preferred tooling from required outcomes.

Recovery

If provider collection is incomplete, report which evidence is missing and continue once it is available. If authority or capability is absent, report the blocked action. If a response or resolution fails, preserve confirmed effects and retry only the remaining work after refreshing the relevant provider state.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.

The English summary is being prepared. Showing the original description.

Jamie-BitFlight/claude_skills67Updated Oct 20, 2026

See all skills by Jamie-BitFlight

Report a problem with this skill