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auto-claude-buildauto Claude 构建

Agent Skill

auto-claude-build 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。

总安装

376

周安装

16

GitHub Stars

9

下载量

132
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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-build(auto Claude 构建)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/auto-claude-build
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-build
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-build

简介

auto-claude-build 用于构建自主代码流水线,支持任务规划、编码实现与质量审查的自动化流程。

  • 适合在复杂功能开发中自动拆解任务、生成实现计划并执行多轮代码修正,提升开发效率。
  • 通过 spec_runner.py 和 run.py 等命令启动构建,需配合 Python 3.12+ 和 Claude Pro/Max 订阅使用。
  • 安装前请确认项目路径、虚拟环境配置及 API 权限,注意技能可能触发文件读写与外部服务调用。
  • 建议结合 .env 文件配置模型参数,并检查上游仓库以获取最新维护状态与使用限制。

SKILL.md

Auto-Claude Build System

Deep dive into the autonomous build pipeline and agent orchestration.

Build Architecture

Agent Pipeline

Spec → Planner Agent → Coder Agent → QA Reviewer → QA Fixer → Complete
         │                 │              │            │
         ▼                 ▼              ▼            ▼
    impl_plan.json    Code Changes    QA Report    Fixed Code

Agent Roles

AgentPurposeModelThinking Tokens
PlannerCreates subtask-based implementation planClaude5000
CoderImplements subtasks, can spawn subagentsClaudeNone
QA ReviewerValidates acceptance criteriaClaude10000
QA FixerFixes QA-reported issuesClaudeNone

Running Builds

Basic Build

cd apps/backend
source .venv/bin/activate

# Run build for spec
python run.py --spec 001

# With iteration limit (for testing)
python run.py --spec 001 --max-iterations 5

Build Options

OptionDescription
--spec SPECSpec to build (number or full name)
--max-iterations NLimit build iterations
--skip-qaSkip automatic QA validation
--qaRun QA validation only

Build Flow

  1. Initialization

- Creates git worktree for isolation - Loads spec and implementation plan - Sets up security sandbox

  1. Planning Phase

- Planner agent analyzes spec - Creates subtask breakdown - Assigns dependencies

  1. Implementation Phase

- Coder agent implements subtasks - Can spawn subagents for parallel work - Updates progress in real-time

  1. QA Phase

- QA Reviewer validates each acceptance criterion - Creates QA report - If issues found, QA Fixer applies fixes - Loop until approved (max 50 iterations)

Agent Configuration

Claude SDK Client

All agents use the Claude Agent SDK configured in core/client.py:

from core.client import create_client

client = create_client(
    project_dir=project_dir,
    spec_dir=spec_dir,
    model="claude-opus-4-5-20251101",
    agent_type="coder",  # or "planner", "qa_reviewer", "qa_fixer"
    max_thinking_tokens=None  # or 5000, 10000, 16000
)

Security Layers

  1. Sandbox - OS-level bash isolation
  2. Filesystem Permissions - Restricted to project directory
  3. Command Allowlist - Only approved commands (see security.py)

Available Tools

ToolDescriptionAgents
Read, Write, EditFile operationsAll
Glob, GrepFile searchAll
BashShell commands (allowlisted)All
Context7Documentation lookupAll
LinearProject managementAll (if enabled)
GraphitiMemory systemAll (if enabled)
Electron/PuppeteerBrowser testingQA only

Parallel Execution

Subagent Spawning

The Coder agent can spawn subagents for parallel work:

Main Coder Agent
├── Subagent 1: Frontend work
├── Subagent 2: Backend work
└── Subagent 3: Tests

Configuration:

  • Up to 12 agent terminals
  • Each runs in isolated context
  • Results merged automatically

Git Worktree Strategy

main (your branch)
└── auto-claude/{spec-name}  ← isolated worktree

Key principles:

  • ONE branch per spec
  • All work in isolated worktree
  • No automatic pushes
  • User controls merge timing

Monitoring Builds

Real-time Progress

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

# Check implementation plan status
cat .auto-claude/specs/001-feature/implementation_plan.json | jq '.subtasks[] | {id, title, status}'

Interactive Controls

During build:

  • Ctrl+C (once) - Pause and add instructions
  • Ctrl+C (twice) - Exit immediately

File-based control:

# Pause after current session
touch .auto-claude/specs/001-feature/PAUSE

# Add instructions
echo "Focus on the login flow" > .auto-claude/specs/001-feature/HUMAN_INPUT.md

# Resume
rm .auto-claude/specs/001-feature/PAUSE

Build Artifacts

Directory Structure

.auto-claude/specs/001-feature/
├── spec.md                    # Specification
├── implementation_plan.json   # Subtask plan with status
├── build-progress.txt         # Real-time progress log
├── qa_report.md              # QA validation results
├── QA_FIX_REQUEST.md         # Issues to fix (if rejected)
├── graphiti/                  # Memory data (if enabled)
└── worktree/                  # Git worktree info

Implementation Plan Status

{
  "subtasks": [
    {
      "id": 1,
      "title": "Create data model",
      "status": "complete",  // pending, in_progress, complete, blocked
      "started_at": "2024-01-01T10:00:00Z",
      "completed_at": "2024-01-01T10:05:00Z"
    }
  ]
}

QA Validation

QA Reviewer

Validates each acceptance criterion:

## QA Report

### Acceptance Criteria

- [x] User can log in with email → PASS
- [x] Error shown for invalid credentials → PASS
- [ ] Session persists across page refresh → FAIL: Session not being saved

### Issues Found
1. Session cookie not being set correctly in AuthProvider

QA Fixer

Automatically fixes issues:

  1. Reads QA_FIX_REQUEST.md
  2. Analyzes root cause
  3. Implements fix
  4. Triggers re-validation

QA Loop

QA Reviewer → Issues? → No → Complete
                ↓
               Yes
                ↓
           QA Fixer
                ↓
           Re-validate
                ↓
           (Max 50 loops)

Troubleshooting Builds

Build Stuck

# Check what's happening
tail -100 .auto-claude/specs/001-feature/build-progress.txt

# Check for errors
grep -i error .auto-claude/specs/001-feature/build-progress.txt

# Force restart
rm .auto-claude/specs/001-feature/PAUSE
python run.py --spec 001

Agent Recovery

If an agent gets stuck:

  1. Recovery Mode

- Coder has recovery prompt (coder_recovery.md) - Activated when subtask fails multiple times

  1. Manual Intervention # Add human input echo "Skip the failing test for now" >.auto-claude/specs/001-feature/HUMAN_INPUT.md

Common Issues

IssueSolution
Timeout errorsIncrease API_TIMEOUT_MS in.env
Memory errorsReduce max_thinking_tokens
Tool failuresCheck security allowlist
Git conflictsRun --review and resolve manually

Advanced Configuration

Model Override

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

Extended Thinking

Configure in agent creation:

  • ultrathink: 16000 tokens (spec creation)
  • high: 10000 tokens (QA review)
  • medium: 5000 tokens (planning)
  • None: disabled (coding)

Debug Mode

DEBUG=true DEBUG_LEVEL=3 python run.py --spec 001

Related Skills

  • auto-claude-spec: Spec creation
  • auto-claude-workspace: Workspace management
  • auto-claude-memory: Memory system
  • auto-claude-optimization: Performance tuning

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

github-copilot

29.74%
按下载量换算39

Claude Code

20.69%
按下载量换算27

mcpjam

17.32%
按下载量换算23

moltbot

10.51%
按下载量换算14

windsurf

8.09%
按下载量换算11

zencoder

3.16%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

来源信息

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