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Agent Skill · 研究检索

agentic-factory(Agent 工厂)

agentic-factory 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

agentic-factory 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 32,196。

总安装 2,564周安装 109GitHub Stars 公开资料未说明下载 898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-0
版本
1.0.0

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:agentic-factory(Agent 工厂)
来源仓库:https://github.com/alshowse-tech/agentic-factory
安装命令:
openclaw skills install agentic-factory
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agentic-factory

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。

AI 原生全栈软件工厂核心技能,协调多代理工作流程。支持代码生成管道与自动化软件生产流程管理。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。适用于需要快速构建和部署复杂系统架构的场景。使用前应核实来源仓库与安装命令,确保环境兼容性。

agentic-factory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 OpenClaw;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 openclaw skills install agentic-factory;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

    它需要执行命令,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

agentic-factory 怎么安装?

在终端执行 openclaw skills install agentic-factory。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agentic-factory 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

agentic-factory 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install agentic-factory 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

agentic-factory 是免费的吗?

来源标注的许可证是 MIT-0。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。

agentic-factory 用的人多吗?

公开数据是累计安装 2,564 次,近一周安装 109 次,下载 898 次。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。

agentic-factory 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
agentic-factory

Agent 工厂 · 本页

2,564—执行命令MIT-0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

name
agentic-factory
version
1.0.0
description
AI Native Full-Stack Software Factory core skill - orchestrates multi-agent workflows, code generation pipelines, and automated software production. Use when building, refactoring, or scaling software systems with AI agents.
triggers
role
orchestrator
scope
full
output-format
structured

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: <requirement>" \
  --label="architect-session"

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

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

### 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: <role>
Session: <session-id>

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

Factory Metrics

Track these metrics for continuous improvement:

MetricTargetMeasurement
Cycle Time< 4h per packageStart to approval
Defect Rate< 5%Issues per 1000 LOC
Rework Rate< 10%Packages needing revision
Coverage> 80%Test coverage
Security Issues0 criticalAudit 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.

平台分布

OpenClaw

75.74%
按下载量换算680

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install agentic-factory 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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