coderabbit-performance-tuning

v2026.09.24

Improve review speed and signal using measured scope, config, cache, and review behavior without timing bands. Use when this operator task needs a current, evidence-backed CodeRabbit workflow. Trigger with "tune CodeRabbit performance".

GitHub
安装命令
npx skhub add jeremylongshore/coderabbit-performance-tuning
Markdown
SKILL.md

CodeRabbit Review Performance Tuning

Overview

Optimize operator-controlled inputs and measure effects. Separate service latency, provider delay, limits, diff size, paths, tools, and guidance.

Prerequisites

  • Identify the CodeRabbit organization, Git provider, repository, plan, and accountable owner.
  • Read references/official-docs.md and re-check any time-sensitive contract before execution.
  • Use synthetic or read-only evidence until the approval boundary is satisfied.
  • Preserve the repository's independent CI, security, and human-review requirements.

Current Contract

  • Path filters change scope; path instructions change guidance.
  • Incremental reviews can pause after configured reviewed commits.
  • Caching normally accelerates review but can be disabled.
  • Plan limits belong to the live plans contract.

Authentication

Treat Git-provider sessions, CodeRabbit web sessions, CLI credentials, and CodeRabbit API keys as separate credentials. Use only an already-approved session or secret-manager reference, never print a secret, and do not place credentials in .coderabbit.yaml, source files, logs, or deliverables.

Instructions

  1. Capture events, files, diff size, tools, cache, limits, findings, and timing.

  2. Classify delay or noise by boundary.

  3. Pilot one scope, filter, instruction, profile, or incremental-review change.

  4. Compare equivalent samples and roll back hidden-risk regressions.

Tool Discipline

  • Use Glob to locate candidate configuration and evidence files without widening scope.
  • Use Grep to find relevant fields, commands, identifiers, and stale claims.
  • Use Read to inspect the smallest required files and authoritative evidence.
  • Use Write only for a new approved local draft or evidence artifact.
  • Use Edit only for a bounded approved change whose rollback is known.
  • Do not use these file tools as a substitute for authenticated CodeRabbit or provider operations.

Approval Boundaries

Require security or code-owner approval before exclusions, tool disablement, or shared changes. Keep analysis and drafts local until approval is explicit, and record who approved the action and its scope.

Output

A baseline, hypothesis, patch, comparison, risk check, and keep-or-rollback decision. Include source dates, unknowns, and the exact boundary between observed fact and recommendation.

Error Handling

ConditionResponse
Current contract is unclear or docs disagreeStop mutation, cite both sources, and request owner resolution.
Required access or approval is missingProduce a draft and evidence plan only.
Validation or pilot behavior differs from expectationRestore the prior state and retain the failed evidence.
Output contains secrets or private codeStop, quarantine the artifact, redact it, and notify the data owner.

Examples

Example 1

Exclude generated artifacts while retaining sensitive code.

Example 2

Tune incremental-review pause for a high-churn branch.

Validation

  • Confirm every claim against the dated sources in references/official-docs.md.
  • Verify the requested scope, owner, approval, happy path, failure path, and rollback.
  • Re-read the effective configuration or provider state after any approved change.
  • Report unsupported fields, undocumented endpoints, and unverified assumptions as failures.

Resources

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

skills/.curated/coderabbit-performance-tuning

默认分支

main

最新提交

e5a6c3b

Tree SHA

c2dc8e8