Auto-Claude autonomous build system. Use when running builds, understanding agent workflow, managing parallel execution, or troubleshooting build issues.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add NeverSight/skills_feed --skill auto-claude-build --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: auto-claude-build
description: Auto-Claude autonomous build system. Use when running builds, understanding agent workflow, managing parallel execution, or troubleshooting build issues.
version: 1.0.0
auto-claude-version: 2.7.2
---
# 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
| Agent | Purpose | Model | Thinking Tokens |
|-------|---------|-------|-----------------|
| **Planner** | Creates subtask-based implementation plan | Claude | 5000 |
| **Coder** | Implements subtasks, can spawn subagents | Claude | None |
| **QA Reviewer** | Validates acceptance criteria | Claude | 10000 |
| **QA Fixer** | Fixes QA-reported issues | Claude | None |
## Running Builds
### Basic Build
```bash
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
| Option | Description |
|--------|-------------|
| `--spec SPEC` | Spec to build (number or full name) |
| `--max-iterations N` | Limit build iterations |
| `--skip-qa` | Skip automatic QA validation |
| `--qa` | Run QA validation only |
### Build Flow
1. **Initialization**
- Creates git worktree for isolation
- Loads spec and implementation plan
- Sets up security sandbox
2. **Planning Phase**
- Planner agent analyzes spec
- Creates subtask breakdown
- Assigns dependencies
3. **Implementation Phase**
- Coder agent implements subtasks
- Can spawn subagents for parallel work
- Updates progress in real-time
4. **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`:
```python
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
| Tool | Description | Agents |
|------|-------------|--------|
| Read, Write, Edit | File operations | All |
| Glob, Grep | File search | All |
| Bash | Shell commands (allowlisted) | All |
| Context7 | Documentation lookup | All |
| Linear | Project management | All (if enabled) |
| Graphiti | Memory system | All (if enabled) |
| Electron/Puppeteer | Browser testing | QA 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
```bash
# 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:
```bash
# 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
```json
{
"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:
```markdown
## 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
```bash
# 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
2. **Manual Intervention**
```bash
# Add human input
echo "Skip the failing test for now" > .auto-claude/specs/001-feature/HUMAN_INPUT.md
```
### Common Issues
| Issue | Solution |
|-------|----------|
| Timeout errors | Increase `API_TIMEOUT_MS` in .env |
| Memory errors | Reduce `max_thinking_tokens` |
| Tool failures | Check security allowlist |
| Git conflicts | Run `--review` and resolve manually |
## Advanced Configuration
### Model Override
```bash
# 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
```bash
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
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