mega-pr
Skill4 starsChanged 4 months agoMITView on GitHub
Fan-out PR review that runs BOTH `/devkit:tri-review` AND `/pr-review-toolkit:review-pr` in parallel for maximum coverage, then presents unified results — this skill does not compete with its sub-skills, it delegates to both simultaneously. Use when the user asks for "mega PR review", "mega-pr", "mega review", "full PR review with everything", "both review tools", "maximum coverage review", or explicitly wants every available reviewer looking at a change at once (Claude + Codex + Gemini model diversity PLUS specialized aspect reviewers like silent-failure-hunter, type-design-analyzer, test-analyzer, code-reviewer). Worth the extra cost when: the PR is high-stakes and the user wants every angle covered, or before merging a critical or hard-to-revert change. Do NOT use when the user only wants one review system (use tri-review or pr-review-toolkit:review-pr directly). Do NOT use for routine code review where a single reviewer suffices. This is deliberate overkill for when you want absolutely everything.
In this repository40 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adrSkill
- auditSkill
- autoloopSkill
- browserSkill
- bugfixSkill
- changelogSkill
- clean-codeSkill
- creating-workflowsSkill
- deep-researchSkill
- doc-genSkill
- dont-reinventSkill
- drySkill
- executingSkill
- featureSkill
- gcliSkill
- harness-auditSkill
- healthSkill
- onboardSkill
- pr-readySkill
- refactorSkill
- researchSkill
- scrapeSkill
- scratchpadSkill
- screenshotSkill
- self-auditSkill
- self-improveSkill
- self-lintSkill
- self-migrateSkill
- self-perfSkill
- self-testSkill
- setup-rulesSkill
- stuckSkill
- test-genSkill
- tri-debugSkill
- tri-dispatchSkill
- tri-reviewSkill
- tri-securitySkill
- yagniSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 36
After both complete, present a unified report:
- Distinctive: line 56
Always run both in parallel — never sequential
- Distinctive: line 57
If one skill fails, still present the other's results
- Distinctive: line 58
Do not deduplicate — let the user see both perspectives
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Mega PR Review
Run /devkit:tri-review and /pr-review-toolkit:review-pr simultaneously for maximum review coverage when those skills/plugins are available. Under non-Claude hosts, run devkit's tri-review MCP workflow and any available external review command; if pr-review-toolkit is not installed in the host, report that part as unavailable instead of fabricating results.
Step 1: Launch Both Reviews
[PARALLEL] — invoke both in a single message using the Skill tool:
Skill: devkit:tri-review— dispatches available model-diverse reviewersSkill: pr-review-toolkit:review-pr— dispatches specialized aspect reviewers when the Claude plugin is installed (silent-failure-hunter, type-design-analyzer, test-analyzer, code-reviewer, etc.)
Pass any user-provided arguments (custom prompt, specific files) to both skills unchanged.
Step 2: Present Combined Results
After both complete, present a unified report:
## Mega PR Review: <branch_name>
### tri-review Results
<consensus + unique findings>
### pr-review-toolkit Results
<categorized by severity>
### Summary
- Total agents participated: <count>
- Critical issues: <count>
- Warnings: <count>
- Suggestions: <count>Rules
- Always run both in parallel — never sequential
- If one skill fails, still present the other's results
- Do not deduplicate — let the user see both perspectives
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

