review-fix — ai-agents review-fix, CachiBot, community, ai-agents, ide skills, chatbot, discord-bot, prompture, python, telegram-bot, Claude Code

v1.0.0
GitHub

About this Skill

Ideal for Code Review Agents needing automated fix planning and execution with multi-provider LLM support. The Armored AI Agent — visual dashboard, sandboxed execution, multi-provider LLM support. See what your bots do.

# Core Topics

jhd3197 jhd3197
[6]
[0]
Updated: 2/25/2026

Agent Capability Analysis

The review-fix skill by jhd3197 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for ai-agents, chatbot, discord-bot.

Ideal Agent Persona

Ideal for Code Review Agents needing automated fix planning and execution with multi-provider LLM support.

Core Value

Empowers agents to parse review findings from `.reviews/YYYY-MM-DD-review.md` files, plan fixes grouped by priority, and execute them with atomic commits, producing review-plan and review-execution logs using markdown file parsing and version control systems like Git.

Capabilities Granted for review-fix

Automating review fix planning based on severity and reviewer feedback
Executing fixes with atomic commits for version control
Generating review-plan and review-execution logs for auditing and transparency

! Prerequisites & Limits

  • Requires access to `.reviews/` directory with review files in markdown format
  • Needs Git or similar version control system for atomic commits
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

review-fix

Install review-fix, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Review Fix — Plan & Execute from Last Review

Read the most recent .reviews/YYYY-MM-DD-review.md, plan fixes for all findings grouped by priority, then execute every planned fix with atomic commits. Produces two artifacts: a review-plan and a review-execution log.

Instructions

Phase 0 — Find the Latest Review

  1. Glob for .reviews/*-review.md and pick the most recent file by date.
  2. Read the full review file. Parse every finding into a list of { severity, reviewer, file, line, description } entries.
  3. If no review file exists, tell the user to run /code-review first and stop.

Phase 1 — Plan

Spawn 4 parallel planning agents (Task tool, subagent_type: Plan) that each receive the full findings list filtered to their scope. Each agent returns a structured list of fix actions.

Agent scopes

AgentScope
backendFindings from Tina, Marcus, Priya, Carlos, Oscar that touch cachibot/
frontendFindings from Tina, Zoe, Luna that touch frontend/src/
dataFindings from Carlos (storage/db layer)
testsFindings from Derek (test coverage gaps)

Findings that span multiple scopes go to every relevant agent.

Each planning agent must:

  • Group related findings that can be fixed together (same file, same pattern).
  • For each group, produce:
    • What: one-line summary of the change
    • Files: list of files to modify
    • How: 2-3 sentence implementation approach
    • Severity: highest severity in the group (Fix > Improve > Note)
    • Risk: Low / Medium / High (does this change behavior or just style?)
    • Depends on: other group IDs this group must wait for (if any)
  • Order groups by: Fix severity first, then by dependency order.
  • Skip any finding rated Note — notes are informational only.

After all 4 agents return, compile results into .reviews/YYYY-MM-DD-review-plan.md:

markdown
1# Review Fix Plan — YYYY-MM-DD 2 3**Source review:** `.reviews/YYYY-MM-DD-review.md` 4**Generated:** YYYY-MM-DD HH:MM 5 6## Stats 7 8| Severity | Findings | Planned groups | 9|----------|----------|----------------| 10| Fix | N | N | 11| Improve | N | N | 12| Note | N | (skipped) | 13 14## Execution Waves 15 16Wave 1 (no dependencies): 17- [B1] Backend: <summary> 18- [F1] Frontend: <summary> 19 20Wave 2 (depends on wave 1): 21- [B2] Backend: <summary> (depends on B1) 22 23... 24 25## Detailed Plan 26 27### [B1] <Summary> 28- **Severity:** Fix 29- **Risk:** Low 30- **Files:** `path/to/file.py` 31- **How:** Description of the fix approach 32- **Findings addressed:** 33 - Tina: `path/to/file.py:42` — original finding text 34 - Marcus: `path/to/file.py:50` — original finding text

Print the plan summary (wave count, group count, severity breakdown) to the user, then immediately proceed to Phase 2 without waiting for approval.

Phase 2 — Execute

Read the plan file. Execute fixes wave by wave — all groups in a wave run in parallel, but waves run sequentially (wave 2 waits for wave 1 to finish).

For each group, spawn a Task agent (subagent_type: general-purpose) with:

  • The group's detailed plan (What, Files, How)
  • The original finding text for context
  • Instruction to read each file before editing
  • Instruction to make the minimal change that addresses the finding
  • Instruction to run ruff check --fix and ruff format on any modified Python file
  • Instruction to run npm run lint -- --fix on any modified TypeScript file (from frontend/)
  • Instruction to NOT create new files unless the plan explicitly says to
  • Instruction to NOT add tests (Derek findings are tracked but test writing is a separate task)

After each wave completes:

  1. Verify no lint errors remain (ruff check cachibot/ and cd frontend && npm run lint).
  2. If lint fails, spawn a fix agent for the failing files before continuing.
  3. Stage all changed files and create one commit per wave:
    Review fixes wave N: <comma-separated group IDs>
    
    Addresses findings from YYYY-MM-DD code review.
    Groups: [B1] summary, [F2] summary, ...
    
    Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    

After all waves complete, write .reviews/YYYY-MM-DD-review-execution.md:

markdown
1# Review Fix Execution — YYYY-MM-DD 2 3**Plan:** `.reviews/YYYY-MM-DD-review-plan.md` 4**Source review:** `.reviews/YYYY-MM-DD-review.md` 5 6## Results 7 8| Wave | Groups | Status | Commit | 9|------|--------|---------|---------| 10| 1 | B1, F1 | Done | abc1234 | 11| 2 | B2 | Done | def5678 | 12 13## Findings Addressed 14 15| Severity | Planned | Fixed | Skipped | Reason | 16|----------|---------|-------|---------|-----------------| 17| Fix | N | N | N | | 18| Improve | N | N | N | | 19 20## Group Details 21 22### [B1] <Summary> — Done 23- **Commit:** abc1234 24- **Files changed:** `path/to/file.py` 25- **Findings fixed:** 26 - Tina: `path/to/file.py:42` — fixed 27 - Marcus: `path/to/file.py:50` — fixed 28 29### [F1] <Summary> — Skipped 30- **Reason:** File was recently refactored, finding no longer applies 31- **Findings skipped:** 32 - Zoe: `frontend/src/Component.tsx:100` — N/A after refactor 33 34## Remaining Work 35 36- Derek's test coverage findings were not addressed (test writing is separate) 37- N findings skipped due to: ...

Phase 3 — Summary

Print a final summary to the user:

Review fix complete.

Waves executed: N
Commits created: N
Findings fixed: N / M planned (X Fix, Y Improve)
Skipped: N (reasons listed in execution log)

Plan:      .reviews/YYYY-MM-DD-review-plan.md
Execution: .reviews/YYYY-MM-DD-review-execution.md

Important Rules

  • Never skip a Fix-severity finding without logging a clear reason.
  • Read before edit — every agent must read the target file before modifying it.
  • Minimal changes — fix exactly what the finding describes, nothing more.
  • No new features — this is a fix pass, not a feature pass.
  • No test writing — Derek's findings are logged as "remaining work" but not executed here. Test creation deserves its own focused session.
  • Preserve behavior — if a fix would change external API behavior, mark it as Risk: High in the plan and add a note in the execution log.
  • If the review file has a "Previous Reviews" section noting still-open findings from prior reviews, include those in the plan too.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is review-fix?

Ideal for Code Review Agents needing automated fix planning and execution with multi-provider LLM support. The Armored AI Agent — visual dashboard, sandboxed execution, multi-provider LLM support. See what your bots do.

How do I install review-fix?

Run the command: npx killer-skills add jhd3197/CachiBot/review-fix. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for review-fix?

Key use cases include: Automating review fix planning based on severity and reviewer feedback, Executing fixes with atomic commits for version control, Generating review-plan and review-execution logs for auditing and transparency.

Which IDEs are compatible with review-fix?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for review-fix?

Requires access to `.reviews/` directory with review files in markdown format. Needs Git or similar version control system for atomic commits.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add jhd3197/CachiBot/review-fix. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use review-fix immediately in the current project.

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