Use when running or scheduling periodic repository review cycles that must dispatch the correct reviewer, aggregate findings, and escalate outcomes into reports, issues, or corrective PRs across API contracts, documentation freshness, code quality, and CloudBase skill quality.
SkillScore57Maintained
Automatic
◆Coding pack
Last verified 7/27/2026
What it changes
Passed 12 of 21 test cases with the skill, and 3 of 21 without it.
Without skill13%
With skill57%
10 fixed3 passed either way10 still failing0 broke
Pass-rate lift
+43 pp
Tokens
+23%
Agent turns
0%
Response time
-42%
Model gemini-3.6-flashMeasured 7/27/2026v113 of 23 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
What's inside
The instructions your model reads when the skill loads.
SKILL.md100 lines2 files
Review Automation Orchestrator
Coordinate recurring repository review work without turning one skill into every reviewer at once.
When to use this skill
Use this skill when you need to:
Run a periodic repository review across several quality dimensions
Decide which specialized review skill should own each finding type
Aggregate review results into one report with clear escalation
Convert high-confidence, low-risk findings into corrective PRs when feasible
Configure or run a scheduled review cycle without duplicating the underlying reviewer logic
Do NOT use for:
Acting as the primary reviewer for API contracts, docs, or code quality by itself
Replacing the existing CloudBase skill review flow under skill-authoring
Fixing a single known issue without a broader review cycle
Merging PRs or making final release decisions
Workflow
Phase 1 — Define the run
Clarify whether the run is one-time or periodic.
Define the review surfaces and target outputs:
report only
issue + report
fix + PR
Read references/escalation-matrix.md before dispatching work.
Phase 2 — Dispatch to the right reviewer
Route by finding type, not by convenience:
CloudBase API contract correctness → api-contract-review
Published docs and README drift → doc-freshness-review
Broad code hygiene and proactive repository health → codebase-audit
Existing open PR triage and repair → pr-review-fix
Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, 企业微信小程序, wx.cloud apps). Features generateText and streamText with callbacks (onText, onEvent, onFinish). Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the data wrapper model field. API differs from JS/Node SDK — streamText needs data wrapper, generateText re