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Agent Skill · 研究检索

auto-claude-troubleshooting(auto Claude troubleshooting 搜索)

auto-claude-troubleshooting 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

auto-claude-troubleshooting 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 54,679。

总安装 499周安装 21GitHub Stars 9下载 175核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:auto-claude-troubleshooting(auto Claude troubleshooting 搜索)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/auto-claude-troubleshooting
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-troubleshooting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-troubleshooting

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

auto-claude-troubleshooting 提供全面的故障诊断指南,覆盖环境检查、配置验证与常见问题解决方案。适合在构建失败、内存泄漏或服务异常时快速定位根因,减少调试时间。通过命令行工具检查 Python、Node.js、Git 等依赖版本,并验证虚拟环境与核心模块导入状态。

涉及环境变量读取与文件操作,需确保当前用户对相关目录有读写权限。建议定期同步上游仓库以获取最新修复方案,避免重复踩坑。

来源仓库内路径:skills/auto-claude-troubleshooting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-troub…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

auto-claude-troubleshooting 怎么安装?

在终端执行 npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-troubleshooting。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

auto-claude-troubleshooting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

auto-claude-troubleshooting 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

auto-claude-troubleshooting 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

auto-claude-troubleshooting 用的人多吗?

公开数据是累计安装 499 次,近一周安装 21 次,下载 175 次,GitHub 9 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

auto-claude-troubleshooting 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
auto-claude-troubleshooting

auto Claude troubleshooting 搜索 · 本页

4999接触敏感数据MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Auto-Claude Troubleshooting

Comprehensive debugging guide for all Auto-Claude issues.

Quick Diagnostics

Check System Requirements

# Python version (need 3.12+)
python3 --version

# Node.js version (need 24+)
node --version

# Claude Code CLI
claude --version

# Git
git --version

Verify Installation

cd apps/backend

# Check virtual environment
source .venv/bin/activate  # or .venv\Scripts\activate
python --version

# Test import
python -c "from core.client import create_client; print('OK')"

# Check dependencies
pip list | grep claude-agent-sdk

Check Configuration

# Environment variables
cat .env | grep -v "^#" | grep -v "^$"

# OAuth token
echo $CLAUDE_CODE_OAUTH_TOKEN | head -c 20

# Test Claude Code
claude --version

Common Issues

Installation Problems

Python Version Mismatch
# Wrong Python version
$ python3 --version
Python 3.9.7  # Too old!

# Fix: Install Python 3.12+
# macOS
brew install python@3.12

# Ubuntu
sudo apt install python3.12 python3.12-venv

# Windows
winget install Python.Python.3.12

# Create venv with correct version
python3.12 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
node-gyp Errors (Windows)
# Error: node-gyp rebuild failed

# Fix: Install Visual Studio Build Tools
# 1. Download from https://visualstudio.microsoft.com/visual-cpp-build-tools/
# 2. Select "Desktop development with C++"
# 3. Restart terminal
npm install
Permission Denied
# Error: Permission denied

# Fix: Use sudo or change ownership
sudo npm install -g @anthropic-ai/claude-code

# Or fix npm permissions
mkdir ~/.npm-global
npm config set prefix '~/.npm-global'
echo 'export PATH=~/.npm-global/bin:$PATH' >> ~/.bashrc
source ~/.bashrc

Authentication Issues

OAuth Token Invalid
# Error: Invalid OAuth token

# Fix: Re-generate token
claude setup-token

# Add to .env
echo "CLAUDE_CODE_OAUTH_TOKEN=$(claude setup-token --output)" >> apps/backend/.env
Token Not Found
# Error: CLAUDE_CODE_OAUTH_TOKEN not set

# Check if set
echo $CLAUDE_CODE_OAUTH_TOKEN

# Set manually
export CLAUDE_CODE_OAUTH_TOKEN="your-token-here"

# Or add to .env
echo "CLAUDE_CODE_OAUTH_TOKEN=your-token-here" >> apps/backend/.env
Subscription Issues
# Error: Claude Pro/Max subscription required

# Fix: Verify subscription at https://claude.ai/upgrade
# Must have active Pro or Max subscription

Build Failures

Spec Not Found
# Error: Spec 001 not found

# List available specs
python run.py --list

# Check spec directory
ls -la .auto-claude/specs/

# Create spec first
python spec_runner.py --interactive
Agent Timeout
# Error: Agent timed out

# Increase timeout
API_TIMEOUT_MS=600000 python run.py --spec 001

# Or add to .env
echo "API_TIMEOUT_MS=600000" >> .env
Build Stuck
# Build appears stuck

# Check progress
tail -f .auto-claude/specs/001-feature/build-progress.txt

# Check for PAUSE file
ls -la .auto-claude/specs/001-feature/PAUSE

# Remove pause
rm .auto-claude/specs/001-feature/PAUSE

# Add human input to unstick
echo "Please proceed with the next subtask" > .auto-claude/specs/001-feature/HUMAN_INPUT.md
Security Hook Rejection
# Error: Command not allowed

# Check security log
cat .auto-claude-security.json

# Add command to allowlist in security.py
# Or run without sandbox (not recommended)

Workspace Issues

Worktree Already Exists
# Error: Worktree already exists

# Remove existing worktree
git worktree remove .worktrees/auto-claude/001-feature

# Or force remove
git worktree remove --force .worktrees/auto-claude/001-feature
git worktree prune
Branch Already Exists
# Error: Branch auto-claude/001-feature already exists

# Delete existing branch
git branch -D auto-claude/001-feature

# Then retry
python run.py --spec 001
Merge Conflicts
# Error: Merge conflicts detected

# Manual resolution
cd .worktrees/auto-claude/001-feature/
git merge main --no-commit
git status

# Resolve conflicts in editor
code path/to/conflicted/file

# Complete merge
git add .
git commit -m "Resolved conflicts"
cd ../../apps/backend

Memory System Issues

Graphiti Not Working
# Error: Graphiti initialization failed

# Check if enabled
grep GRAPHITI apps/backend/.env

# Verify provider credentials
# For OpenAI
curl -H "Authorization: Bearer $OPENAI_API_KEY" https://api.openai.com/v1/models

# For Ollama
curl http://localhost:11434/api/tags
Embedding Dimension Mismatch
# Error: Embedding dimension mismatch

# Clear embeddings and re-index
rm -rf ~/.auto-claude/memories/embeddings
python run.py --spec 001
Database Corruption
# Error: Database corrupted

# Backup and reset
mv ~/.auto-claude/memories ~/.auto-claude/memories.backup
python query_memory.py --search "test"  # Creates fresh DB

QA Issues

QA Loop Never Completes
# QA keeps rejecting

# Check QA report
cat .auto-claude/specs/001-feature/qa_report.md

# Skip QA temporarily
python run.py --spec 001 --skip-qa

# Or limit iterations
MAX_QA_ITERATIONS=5 python run.py --spec 001 --qa
QA Fixer Not Fixing
# QA Fixer fails to fix issues

# Check fix request
cat .auto-claude/specs/001-feature/QA_FIX_REQUEST.md

# Add human guidance
echo "Focus on fixing the session storage issue first" > .auto-claude/specs/001-feature/HUMAN_INPUT.md

Debug Mode

Enable Verbose Logging

# Level 1: Basic
DEBUG=true DEBUG_LEVEL=1 python run.py --spec 001

# Level 2: Detailed
DEBUG=true DEBUG_LEVEL=2 python run.py --spec 001

# Level 3: Verbose (everything)
DEBUG=true DEBUG_LEVEL=3 python run.py --spec 001

Log to File

# Log to file
DEBUG=true DEBUG_LOG_FILE=debug.log python run.py --spec 001

# View in real-time
tail -f debug.log

Agent Communication

# See agent messages
DEBUG=true python run.py --spec 001 2>&1 | tee agent.log

# Search for errors
grep -i error agent.log
grep -i failed agent.log

Recovery Procedures

Restart Clean

# Full reset for a spec
rm -rf .auto-claude/specs/001-feature
rm -rf .worktrees/auto-claude/001-feature
git branch -D auto-claude/001-feature 2>/dev/null
git worktree prune

# Recreate spec
python spec_runner.py --task "Your task description"

Resume from Checkpoint

# Continue interrupted spec
python spec_runner.py --continue 001-feature

# Continue interrupted build
python run.py --spec 001

Manual Intervention

# 1. Pause the build
touch .auto-claude/specs/001-feature/PAUSE

# 2. Make manual changes in worktree
cd .worktrees/auto-claude/001-feature/
# ... edit files ...
git add .
git commit -m "Manual fix"

# 3. Resume
cd ../../apps/backend
rm .auto-claude/specs/001-feature/PAUSE
python run.py --spec 001

Performance Issues

Slow Builds

# Use faster model
AUTO_BUILD_MODEL=claude-sonnet-4-5-20250929 python run.py --spec 001

# Reduce thinking tokens
# Edit agent creation to use max_thinking_tokens=3000

# Skip research phase
SKIP_RESEARCH_PHASE=true python spec_runner.py --task "..."

High Memory Usage

# Monitor memory
watch -n 1 'ps aux | grep python'

# Reduce context
MAX_CONTEXT_FILES=30 python run.py --spec 001

# Use smaller embedding model
OLLAMA_EMBEDDING_MODEL=all-minilm
OLLAMA_EMBEDDING_DIM=384

API Rate Limits

# Error: Rate limit exceeded

# Wait and retry
sleep 60
python run.py --spec 001

# Or use different endpoint
ANTHROPIC_BASE_URL=http://localhost:3456 python run.py --spec 001

Getting Help

Gather Diagnostics

# System info
echo "Python: $(python3 --version)"
echo "Node: $(node --version)"
echo "Git: $(git --version)"
echo "Claude: $(claude --version)"

# Auto-Claude version
cat package.json | grep '"version"'

# Last 50 lines of logs
tail -50 .auto-claude/specs/*/build-progress.txt

Community Resources

Report a Bug

Include:

  1. Operating system and version
  2. Python and Node.js versions
  3. Auto-Claude version
  4. Steps to reproduce
  5. Error messages
  6. Relevant logs

Related Skills

  • auto-claude-setup: Installation guide
  • auto-claude-cli: CLI reference
  • auto-claude-optimization: Performance tuning

平台分布

Claude Code

24.41%
按下载量换算43

github-copilot

24.06%
按下载量换算42

OpenCode

17.56%
按下载量换算31

neovate

13.14%
按下载量换算23

Antigravity

6.82%
按下载量换算12

kilo

3%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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