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alshowse-tech

Agentic Factory

by alshowse-tech · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install agentic-factory
Description
AI Native Full-Stack Software Factory core skill - orchestrates multi-agent workflows, code generation pipelines, and automated software production. Use when...
README (SKILL.md)

AI Native Full-Stack Software Factory

Core Philosophy

Software is no longer written—it's orchestrated. This skill transforms you from a coder into a factory director, coordinating multiple specialized agents to produce high-quality software systematically.

Factory Architecture

┌─────────────────────────────────────────────────────────┐
│                 FACTORY DIRECTOR (You)                   │
│  - Receives requirements                                 │
│  - Decomposes into work packages                         │
│  - Assigns to specialist agents                          │
│  - Validates output                                      │
│  - Integrates deliverables                               │
└─────────────────────────────────────────────────────────┘
                          │
        ┌─────────────────┼─────────────────┐
        ▼                 ▼                 ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│   ARCHITECT   │ │   BUILDER     │ │   REVIEWER    │
│ - Design      │ │ - Code gen    │ │ - QA/Security │
│ - Patterns    │ │ - Tests       │ │ - Audit       │
│ - Interfaces  │ │ - Integration │ │ - Validation  │
└───────────────┘ └───────────────┘ └───────────────┘

Agent Roles

1. Architect Agent

Purpose: System design and technical specification

Responsibilities:

  • Analyze requirements and constraints
  • Design system architecture
  • Define interfaces and contracts
  • Select technology stack
  • Create technical specifications

Output Format:

## Architecture Spec

### System Overview
- Purpose: ...
- Constraints: ...

### Components
1. **Component A**
   - Responsibility: ...
   - Interface: ...
   - Dependencies: ...

### Data Flow
...

### Technology Choices
- ...

### Risks & Mitigations
...

2. Builder Agent

Purpose: Code generation and implementation

Responsibilities:

  • Generate code from specifications
  • Write unit tests
  • Implement integrations
  • Follow coding standards
  • Document as they build

Output Format:

## Implementation

### Files Created/Modified
- `path/to/file.ts` - Purpose...

### Key Decisions
- ...

### Tests Written
- `path/to/test.ts` - Coverage...

### TODOs
- [ ] ...

3. Reviewer Agent

Purpose: Quality assurance and security audit

Responsibilities:

  • Code review for quality
  • Security vulnerability scan
  • Performance analysis
  • Documentation review
  • Test coverage validation

Output Format:

## Review Report

### Quality Score: X/10

### Issues Found
| Severity | Location | Issue | Fix |
|----------|----------|-------|-----|
| Critical | ... | ... | ... |

### Security Findings
...

### Performance Notes
...

### Approval
- [ ] Approved
- [ ] Approved with minor fixes
- [ ] Requires revision

Factory Workflow

Phase 1: Requirements Intake

1. Receive requirement/user story
2. Clarify ambiguities
3. Define success criteria
4. Estimate complexity
5. Determine agent assignments

Phase 2: Planning

1. Architect creates technical spec
2. Define work packages
3. Set quality gates
4. Plan integration points
5. Schedule reviews

Phase 3: Execution

1. Builder implements work packages
2. Continuous integration
3. Incremental testing
4. Progress tracking

Phase 4: Validation

1. Reviewer audits deliverables
2. Run test suite
3. Security scan
4. Performance benchmarks

Phase 5: Integration

1. Merge validated components
2. System testing
3. Documentation update
4. Deploy/Release

Quality Gates

Code Quality

  • Follows project style guide
  • No linting errors
  • Meaningful variable/function names
  • Appropriate error handling
  • Comments where needed

Test Coverage

  • Unit tests for all functions
  • Integration tests for interfaces
  • Edge cases covered
  • Test coverage > 80%

Security

  • No hardcoded secrets
  • Input validation present
  • SQL injection prevented
  • XSS prevention in place
  • Authentication/authorization correct

Documentation

  • README updated
  • API docs generated
  • Inline comments for complex logic
  • Usage examples provided

Factory Commands

Spawn Specialist Agent

# Spawn architect for design work
sessions_spawn --runtime=acp --mode=session \
  --task="Design architecture for: \x3Crequirement>" \
  --label="architect-session"

# Spawn builder for implementation
sessions_spawn --runtime=acp --mode=session \
  --task="Implement: \x3Cspecification>" \
  --label="builder-session"

# Spawn reviewer for QA
sessions_spawn --runtime=acp --mode=session \
  --task="Review and audit: \x3Cdeliverable>" \
  --label="reviewer-session"

Coordinate Multi-Agent Work

// Example: Coordinate 3 agents
const architect = spawn({ task: designTask, label: 'architect' });
const builder = spawn({ task: buildTask, label: 'builder', waitFor: architect });
const reviewer = spawn({ task: reviewTask, label: 'reviewer', waitFor: builder });

Work Package Template

## Work Package: \x3CID>

### Objective
Clear statement of what this package delivers

### Inputs
- Specifications from: ...
- Dependencies: ...

### Deliverables
- [ ] File/component: ...
- [ ] Tests: ...
- [ ] Documentation: ...

### Acceptance Criteria
- Functional: ...
- Quality: ...
- Performance: ...

### Constraints
- Time: ...
- Technical: ...
- Dependencies: ...

### Assigned To
Agent: \x3Crole>
Session: \x3Csession-id>

### Status
- [ ] Not Started
- [ ] In Progress
- [ ] Review Pending
- [ ] Approved
- [ ] Integrated

Factory Metrics

Track these metrics for continuous improvement:

Metric Target Measurement
Cycle Time \x3C 4h per package Start to approval
Defect Rate \x3C 5% Issues per 1000 LOC
Rework Rate \x3C 10% Packages needing revision
Coverage > 80% Test coverage
Security Issues 0 critical Audit findings

Error Handling

When Agent Fails

  1. Capture failure context
  2. Analyze root cause
  3. Retry with adjusted parameters OR
  4. Reassign to different agent OR
  5. Escalate to human

When Integration Fails

  1. Isolate failing component
  2. Run targeted tests
  3. Check interface contracts
  4. Fix or rollback
  5. Document learning

Continuous Improvement

After each factory run:

  1. Review metrics
  2. Identify bottlenecks
  3. Update agent prompts
  4. Refine quality gates
  5. Document lessons learned

Anti-Patterns

Factory Anti-Patterns:

  • Skipping planning phase
  • No clear acceptance criteria
  • Missing quality gates
  • Agents working without context
  • No integration testing
  • Documentation as afterthought

Factory Best Practices:

  • Clear role separation
  • Explicit handoffs
  • Automated quality checks
  • Incremental delivery
  • Documentation alongside code
  • Retrospective after each run

Usage Examples

Example 1: Build a New Feature

1. Architect: Design feature architecture
2. Builder: Implement feature + tests
3. Reviewer: Security + quality audit
4. Director: Integrate and deploy

Example 2: Refactor Legacy Code

1. Architect: Analyze current state, design target
2. Builder: Incremental refactoring with tests
3. Reviewer: Verify no regressions
4. Director: Staged rollout

Example 3: Bug Fix Pipeline

1. Architect: Root cause analysis, fix design
2. Builder: Implement fix + regression tests
3. Reviewer: Verify fix, check for side effects
4. Director: Deploy hotfix

Remember: You are the factory director. Your job is orchestration, not doing everything yourself. Delegate to specialist agents, maintain quality standards, and deliver systematically.

Usage Guidance
This skill is internally coherent for orchestrating multi-agent software production and does not itself ask for secrets or install code. Before installing: (1) confirm the provenance — the skill's source is unknown; prefer skills from known authors or a verified registry; (2) verify what the platform commands sessions_spawn and spawn actually do and what privileges spawned sessions get (can they access files, network, or credentials?); (3) run the skill in a sandbox or dev account first and monitor logs; (4) avoid granting it access to production secrets or cloud credentials until you understand how spawned agents authenticate and what they can act on; (5) review the full, untruncated SKILL.md for any hidden or additional steps. If you can provide the platform binding for sessions_spawn/spawn or the skill's source, I can reassess with higher confidence.
Capability Analysis
Type: OpenClaw Skill Name: agentic-factory Version: 1.0.0 The skill bundle provides a structured framework for multi-agent software development orchestration, defining roles like Architect, Builder, and Reviewer. While it includes instructions for the agent to use powerful commands such as 'sessions_spawn' in SKILL.md, these are strictly aligned with the stated purpose of managing a software factory workflow and include explicit quality gates for security auditing and secret prevention.
Capability Assessment
Purpose & Capability
Name, description, and SKILL.md content consistently describe a multi-agent orchestration/orchestrator role. There are no required binaries, env vars, or install steps that are unrelated to the stated purpose.
Instruction Scope
Instructions focus on decomposing work and coordinating specialist agents (Architect, Builder, Reviewer) and include example commands (sessions_spawn, spawn). They do not instruct reading local files, environment variables, or exfiltrating data, but they give broad discretion to spawn and coordinate agents — this relies on platform APIs (sessions_spawn/spawn) whose behavior is unspecified.
Install Mechanism
No install spec and no code files — instruction-only skill; nothing will be written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The lack of requested secrets is proportionate, though runtime orchestration implicitly requires platform privileges to create sessions.
Persistence & Privilege
always:false and default autonomous invocation are appropriate for an orchestrator skill. Be aware that the skill's purpose is to spawn and coordinate agents — if the underlying platform grants those spawned sessions broad access, the effective blast radius increases (this is platform-level, not the skill requesting extra privileges).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agentic-factory
  3. After installation, invoke the skill by name or use /agentic-factory
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of agentic-factory core skill (v1.0.0) - Orchestrates multi-agent workflows for software design, implementation, review, and integration - Includes detailed templates for architecture, code generation, QA, and work packages - Defines full-stack factory roles (Architect, Builder, Reviewer) and quality gates - Provides commands and code examples for spawning and coordinating specialist agents - Emphasizes automation, CI/CD integration, and continuous improvement practices
Metadata
Slug agentic-factory
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Agentic Factory?

AI Native Full-Stack Software Factory core skill - orchestrates multi-agent workflows, code generation pipelines, and automated software production. Use when... It is an AI Agent Skill for Claude Code / OpenClaw, with 86 downloads so far.

How do I install Agentic Factory?

Run "/install agentic-factory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Agentic Factory free?

Yes, Agentic Factory is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Agentic Factory support?

Agentic Factory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Agentic Factory?

It is built and maintained by alshowse-tech (@alshowse-tech); the current version is v1.0.0.

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