MCP HubMCP Hub
返回技能列表

smart-bug-fix

DNYoussef
更新于 Today
5 次查看
0
在 GitHub 上查看
测试debuggingrcacodextestingessentialtier-1

关于

This skill provides an intelligent bug-fixing workflow that systematically identifies root causes using deep analysis and multi-model reasoning. It then generates fixes through Codex auto-fix and validates them with comprehensive testing and regression analysis. Use this skill for methodical debugging that combines automated fixes with thorough validation.

技能文档

Smart Bug Fix

Purpose

Systematically debug and fix bugs using root cause analysis, multi-model reasoning, and automated testing.

Specialist Agent

I am a debugging specialist using systematic problem-solving methodology.

Methodology (Root Cause + Fix + Validate Pattern):

  1. Deep root cause analysis (5 Whys, inverse reasoning)
  2. Multi-model reasoning for fix approaches
  3. Codex auto-fix in isolated sandbox
  4. Comprehensive testing with iteration
  5. Regression validation
  6. Performance impact analysis

Models Used:

  • Claude (RCA): Deep root cause analysis
  • Codex (Fix): Rapid fix implementation
  • Claude (Validation): Comprehensive testing
  • Gemini (Context): Large codebase analysis if needed

Output: Fixed code with test validation and impact analysis

Input Contract

input:
  bug_description: string (required)
  context_path: string (directory or file, required)
  reproduction_steps: string (optional)
  error_logs: string (optional)
  depth: enum[shallow, normal, deep] (default: deep)

Output Contract

output:
  root_cause: object
    identified: string
    contributing_factors: array[string]
    evidence: array[string]
  fix_applied: object
    changes: array[file_change]
    reasoning: string
    alternatives_considered: array[string]
  validation: object
    tests_passed: boolean
    regression_check: boolean
    performance_impact: string
  confidence: number (0-1)

Execution Flow

#!/bin/bash
set -e

BUG_DESC="$1"
CONTEXT_PATH="$2"

echo "=== Smart Bug Fix Workflow ==="

# PHASE 1: Root Cause Analysis
echo "[1/6] Performing deep root cause analysis..."
npx claude-flow agent-rca "$BUG_DESC" \
  --context "$CONTEXT_PATH" \
  --depth deep \
  --output rca-report.md

# PHASE 2: Context Analysis (if large codebase)
LOC=$(find "$CONTEXT_PATH" -name "*.js" -o -name "*.ts" | xargs wc -l | tail -1 | awk '{print $1}')
if [ "$LOC" -gt 10000 ]; then
  echo "[2/6] Large codebase detected - analyzing with Gemini MegaContext..."
  gemini "Analyze patterns related to: $BUG_DESC" \
    --files "$CONTEXT_PATH" \
    --model gemini-2.0-flash \
    --output context-analysis.md
else
  echo "[2/6] Standard codebase - skipping mega-context analysis"
fi

# PHASE 3: Alternative Solutions (multi-model reasoning)
echo "[3/6] Generating fix approaches..."
# Claude approach (from RCA)
CLAUDE_FIX=$(cat rca-report.md | grep "Solution" -A 10)

# Codex alternative approach
codex --reasoning-mode "Alternative approaches to fix: $BUG_DESC" \
  --context rca-report.md \
  --output codex-alternatives.md

# PHASE 4: Implement Fix with Codex Auto
echo "[4/6] Implementing fix with Codex Auto..."
codex --full-auto "Fix bug: $BUG_DESC based on RCA findings" \
  --context rca-report.md \
  --context "$CONTEXT_PATH" \
  --sandbox true \
  --network-disabled \
  --output fix-implementation/

# PHASE 5: Comprehensive Testing with Iteration
echo "[5/6] Testing fix with Codex iteration..."
npx claude-flow functionality-audit fix-implementation/ \
  --model codex-auto \
  --max-iterations 5 \
  --sandbox true \
  --regression-check true \
  --output test-results.json

# Check if tests passed
TESTS_PASSED=$(cat test-results.json | jq '.all_passed')
if [ "$TESTS_PASSED" != "true" ]; then
  echo "⚠️ Tests failed after 5 iterations - escalating to user"
  exit 1
fi

# PHASE 6: Performance Impact Analysis
echo "[6/6] Analyzing performance impact..."
npx claude-flow analysis performance-report \
  --compare-before-after \
  --export performance-impact.json

# Display summary
echo ""
echo "================================================================"
echo "Bug Fix Complete!"
echo "================================================================"
echo ""
echo "Root Cause: $(cat rca-report.md | grep 'Primary Root Cause' -A 2 | tail -1)"
echo "Tests: ✓ All passing"
echo "Regression: ✓ No regressions detected"
echo "Performance Impact: $(cat performance-impact.json | jq '.impact_summary')"
echo ""
echo "Files changed:"
find fix-implementation/ -name "*.js" -o -name "*.ts" | head -10
echo ""

Integration Points

Cascades

  • Part of /bug-triage-workflow cascade
  • Used by /production-incident-response cascade
  • Invoked by /fix-bug command

Commands

  • Uses: /agent-rca, /gemini-megacontext, /codex-auto, /functionality-audit
  • Chains with: /style-audit, /performance-report

Other Skills

  • Input to regression-validator skill
  • Used by incident-response skill
  • Integrates with code-review-assistant

Advanced Features

Automatic RCA Depth Selection

function selectRCADepth(bugDescription, errorLogs) {
  if (errorLogs.includes("intermittent") || errorLogs.includes("race condition")) {
    return "deep"; // Complex issues need deep analysis
  } else if (errorLogs.includes("TypeError") || errorLogs.includes("undefined")) {
    return "normal"; // Common errors need normal analysis
  } else {
    return "shallow"; // Simple issues
  }
}

Multi-Model Fix Approach

fix_strategy:
  1. Claude RCA → Deep understanding
  2. Codex alternatives → Multiple approaches
  3. Codex auto-fix → Rapid implementation
  4. Claude validation → Comprehensive testing

Codex Iteration Loop

Test → FAIL → Codex fix → Test → FAIL → Codex fix → Test → PASS → Apply
↑                                                                    ↓
└────────────────── Max 5 iterations ──────────────────────────────┘

Usage Example

# Fix bug with description
smart-bug-fix "API timeout under load" src/api/

# Fix with reproduction steps
smart-bug-fix "Login fails on Firefox" src/auth/ \
  --reproduction-steps "1. Open Firefox 2. Try login 3. See error"

# Fix with error logs
smart-bug-fix "Database connection fails" src/db/ \
  --error-logs "logs/error.log"

Failure Modes

  • RCA inconclusive: Request more context, run additional diagnostics
  • Codex fix fails tests: Try alternative approach, escalate if max iterations reached
  • Regression detected: Rollback fix, analyze conflicting requirements
  • Performance degradation: Optimize fix, consider alternative approach

快速安装

/plugin add https://github.com/DNYoussef/ai-chrome-extension/tree/main/smart-bug-fix

在 Claude Code 中复制并粘贴此命令以安装该技能

GitHub 仓库

DNYoussef/ai-chrome-extension
路径: .claude/skills/smart-bug-fix

相关推荐技能

evaluating-llms-harness

测试

该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。

查看技能

go-test

go-test Skill为Go开发者提供全面的测试指导,涵盖单元测试、性能基准测试和集成测试的最佳实践。它能帮助您正确实现表驱动测试、子测试组织、mock接口和竞态检测,同时指导测试覆盖率分析和性能基准测试。当您编写_test.go文件、设计测试用例或优化测试策略时,这个Skill能确保您遵循Go语言的标准测试惯例。

查看技能

generating-unit-tests

该Skill能自动为源代码生成全面的单元测试,支持Jest、pytest、JUnit等多种测试框架。当开发者请求"生成测试"、"创建单元测试"或使用"gut"快捷指令时即可触发。它能智能识别合适框架或按指定框架生成测试用例,显著提升测试效率。

查看技能

component-testing-patterns

测试

这个Skill为开发者提供了基于Vitest浏览器模式的Svelte 5组件测试解决方案。它支持在真实浏览器环境中测试组件,使用Playwright定位器和可访问性模式进行语义化查询。开发者可以利用自动重试的定位器和响应式状态测试来编写可靠的组件测试用例。

查看技能