SkillAtlasSkill 详情

coderabbit-migration-deep-dive

A model-agnostic agent-skills platform.

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项目 README

来源文件:README.md

抓取于 2026年8月28日

Tons of Skills

A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

ko-fi

Version semantics: the release badge is this marketplace's display version. npm packages, including the ccpi CLI and publishable plugins, retain their own package versions; they are intentionally not expected to equal the display version. The version-surface checker governs the display surfaces without rewriting package semver.

Install

Inside Claude Code, one command installs the whole marketplace:

/plugin marketplace add jeremylongshore/claude-code-plugins

Or use the CLI:

pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack

Browse the marketplace · Explore plugins · Download bundles

Killer Skill of the Week — no-ai-slop by Peter Yang

Strip AI slop from any draft — named-pattern edits that keep the writer's real voice

no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.

"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang

Grade: A | Week of July 22, 2026 (W30) | View on GitHub

Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.

Scale, labeled

Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."

CountCohortReproduce with
442catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,067marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.

Top 10 by last 30 days:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

Last refreshed 2026-08-19T03:03:05.709Z.

Ways in

Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:

Browse by category

The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools6
👥Community21
₿Crypto & Web327
💾Database26
🎨Design2
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity30
🎁SaaS Skill Packs106
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1

What the classes mean

Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSomebody else's work, hosted mirror-by-default.source.json present — upstream author, license, and pinned commit recorded

Certification

Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.

Contribute

Start with the contribution guide, then the intake and review standards every submission passes through:

Governance

Provenance

External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.

License

MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.

开发与工程

高风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 存在潜在风险命令,请谨慎安装。
  • 扫描发现:4 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/coderabbit-migration-deep-dive" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/coderabbit-migration-deep-dive" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/coderabbit-migration-deep-dive" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/coderabbit-migration-deep-dive" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/coderabbit-migration-deep-dive" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: coderabbit-migration-deep-dive
description: 'Migrate to CodeRabbit from other code review tools or roll out across
  a large organization.

  Use when switching from another AI review tool, migrating from manual-only reviews,

  or planning a phased CodeRabbit adoption strategy.

  Trigger with phrases like "migrate to coderabbit", "coderabbit migration",

  "switch to coderabbit", "coderabbit from reviewbot", "adopt coderabbit", "replace
  code review tool".

  '
allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(git:*), Grep
version: 1.11.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- coderabbit
- migration
- adoption
compatibility: Designed for Claude Code

CodeRabbit Migration Deep Dive

Overview

Comprehensive guide for migrating to CodeRabbit from other AI code review tools (Codacy, SonarCloud, DeepSource, Sourcery) or from manual-only code review. Covers assessment, phased rollout, configuration transfer, team buy-in, and measuring success.

Prerequisites

  • GitHub/GitLab organization admin access
  • Inventory of current review tools and their configurations
  • Understanding of team review workflows
  • Budget approval for CodeRabbit seats

Migration Types

FromComplexityDurationKey Challenge
Manual-only reviewsLow1-2 weeksTeam adoption
Codacy / SonarCloudMedium2-3 weeksRule translation
DeepSource / SourceryMedium2-3 weeksConfig migration
Custom review botsHigh3-4 weeksWorkflow redesign
Multiple toolsHigh4-6 weeksConsolidation

Instructions

Step 1: Assess Current State

set -euo pipefail
ORG="${1:-your-org}"

echo "=== Code Review Tool Assessment ==="

# Check for existing review tools
echo "--- Installed GitHub Apps ---"
gh api "orgs/$ORG/installations" --jq '.installations[] | "\(.app_slug) (ID: \(.id))"' 2>/dev/null

echo ""
echo "--- Review Tool Config Files ---"
for REPO in $(gh repo list "$ORG" --limit 20 --json name --jq '.[].name'); do
  # Check for common review tool configs
  for CONFIG in ".codacy.yml" "sonar-project.properties" ".deepsource.toml" ".sourcery.yaml" ".coderabbit.yaml"; do
    EXISTS=$(gh api "repos/$ORG/$REPO/contents/$CONFIG" --jq '.name' 2>/dev/null || echo "")
    if [ -n "$EXISTS" ]; then
      echo "  $REPO: $CONFIG"
    fi
  done
done

Step 2: Map Review Rules to CodeRabbit Path Instructions

# Common rule translations:

# Codacy / SonarCloud "code smells" → CodeRabbit path_instructions
# Before (Codacy):
#   rules:
#     - id: "javascript/complexity"
#     - id: "javascript/error-handling"
#
# After (CodeRabbit):
reviews:
  path_instructions:
    - path: "src/**/*.ts"
      instructions: |
        Check for:
        - Functions with cyclomatic complexity > 10 (suggest refactoring)
        - Missing error handling in async operations
        - Empty catch blocks
        - Unused variables and imports

# DeepSource "analyzer" → CodeRabbit path_instructions
# Before (DeepSource):
#   analyzers:
#     - name: javascript
#       enabled: true
#       meta:
#         plugins: [react]
#
# After (CodeRabbit):
    - path: "src/components/**"
      instructions: |
        React-specific checks:
        - No conditional hooks
        - Proper cleanup in useEffect
        - Memoization for expensive computations
        - Accessibility (aria labels, keyboard navigation)

# Sourcery "refactoring" → CodeRabbit path_instructions
# Before (Sourcery):
#   refactor:
#     skip: [dont-import-test-modules]
#
# After (CodeRabbit):
    - path: "**/*.py"
      instructions: |
        Python best practices:
        - Suggest list comprehensions over manual loops where appropriate
        - Flag mutable default arguments
        - Check for proper context manager usage

Step 3: Phase 1 -- Parallel Run (Week 1-2)

# Run CodeRabbit alongside existing tool for comparison
# .coderabbit.yaml - Start with non-blocking mode
reviews:
  profile: "chill"                    # Fewer comments during evaluation
  request_changes_workflow: false     # Don't block merges
  high_level_summary: true            # Show walkthrough for evaluation

  auto_review:
    enabled: true
    drafts: false
    base_branches: [main, develop]

  path_filters:
    - "!**/*.lock"
    - "!**/*.snap"
    - "!dist/**"
    - "!vendor/**"

chat:
  auto_reply: true
# During parallel run, track:
1. Comment quality: Are CodeRabbit comments actionable?
2. Coverage: Does it catch what the old tool catches?
3. Speed: Is review posted before human reviewers start?
4. Noise: Are there many false positives?
5. Team reaction: Do developers find it helpful?

Step 4: Phase 2 -- Primary Tool (Week 3-4)

# After successful parallel run, make CodeRabbit primary
# .coderabbit.yaml - Enable full features
reviews:
  profile: "assertive"                # Balanced feedback
  request_changes_workflow: true      # Now blocking
  high_level_summary: true
  sequence_diagrams: true

  auto_review:
    enabled: true
    drafts: false
    base_branches: [main, develop]

  path_instructions:
    # Transfer your best rules from the old tool
    - path: "src/api/**"
      instructions: |
        Review for: input validation, proper HTTP status codes,
        auth middleware usage, error response format.
    - path: "src/db/**"
      instructions: |
        Review for: parameterized queries, transaction boundaries,
        connection cleanup, index usage. Flag N+1 patterns.
    - path: "**/*.test.*"
      instructions: |
        Review for: assertion completeness, edge cases, async handling.
        Do NOT comment on test naming or import order.

  # Keep exclusions from old tool
  path_filters:
    - "!**/*.lock"
    - "!**/*.snap"
    - "!**/generated/**"
    - "!dist/**"
    - "!vendor/**"

Step 5: Phase 3 -- Decommission Old Tool (Week 4-6)

set -euo pipefail
ORG="${1:-your-org}"

echo "=== Old Tool Decommission Checklist ==="

# 1. Remove old tool config files
echo "--- Config Files to Remove ---"
for REPO in $(gh repo list "$ORG" --limit 50 --json name --jq '.[].name'); do
  for CONFIG in ".codacy.yml" "sonar-project.properties" ".deepsource.toml" ".sourcery.yaml"; do
    EXISTS=$(gh api "repos/$ORG/$REPO/contents/$CONFIG" --jq '.name' 2>/dev/null || echo "")
    if [ -n "$EXISTS" ]; then
      echo "  rm $REPO/$CONFIG"
    fi
  done
done

echo ""
echo "--- Steps ---"
echo "1. Remove old tool GitHub App from org settings"
echo "2. Delete old tool config files from repos"
echo "3. Update branch protection rules (replace old check with coderabbitai)"
echo "4. Cancel old tool subscription"
echo "5. Update team documentation and onboarding guides"

Step 6: Measure Migration Success

set -euo pipefail
ORG="${1:-your-org}"
REPO="${2:-your-repo}"

echo "=== CodeRabbit Adoption Metrics ==="

# Review coverage
TOTAL=0
REVIEWED=0
for PR_NUM in $(gh api "repos/$ORG/$REPO/pulls?state=closed&per_page=30" --jq '.[].number'); do
  TOTAL=$((TOTAL + 1))
  CR=$(gh api "repos/$ORG/$REPO/pulls/$PR_NUM/reviews" \
    --jq '[.[] | select(.user.login=="coderabbitai[bot]")] | length' 2>/dev/null || echo "0")
  [ "$CR" -gt 0 ] && REVIEWED=$((REVIEWED + 1))
done

echo "Review coverage: $REVIEWED/$TOTAL PRs ($(( REVIEWED * 100 / (TOTAL > 0 ? TOTAL : 1) ))%)"
echo ""
echo "Target metrics:"
echo "  - Coverage > 90%: CodeRabbit reviewing most PRs"
echo "  - Time-to-review < 5 min: Fast feedback loop"
echo "  - Team satisfaction: Survey developers after 2 weeks"

Output

  • Current review tool assessment completed
  • Rule translation from old tool to CodeRabbit path_instructions
  • Phased migration plan executed
  • Old tool decommissioned
  • Adoption metrics measured

Error Handling

IssueCauseSolution
Old tool conflicts with CodeRabbitBoth posting reviewsRun parallel briefly, then disable old tool
Rules don't translate 1:1Different analysis approachesFocus on intent, not exact rule matching
Team prefers old toolFamiliarity biasRun parallel for 2 weeks, compare results
Branch protection breaksOld check name removedUpdate to coderabbitai check name
Higher seat cost than old toolPer-seat vs per-repo pricingScope repos to reduce seat count

Examples

Run CodeRabbit and the existing reviewer in parallel on a small, representative repository for a defined period, measure coverage, useful findings, latency, and developer feedback, then migrate the reviewed rules by intent. Do not retire the prior protection or alter required checks until the measured rollout and rollback path are accepted by repository owners.

Resources

Next Steps

For ongoing configuration tuning, see coderabbit-core-workflow-b.

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