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shadows-skill-factory影子技能工厂

Agent Skill

shadows-skill-factory 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

9,545

周安装

410

GitHub Stars

公开资料未说明

下载量

3,346
OpenClaw

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

2

许可证

MIT-0

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:shadows-skill-factory(影子技能工厂)
来源仓库:https://github.com/nakedoshadow/shadows-skill-factory
安装命令:
openclaw skills install shadows-skill-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 shadows-skill-factory

简介

用于自动生成结构良好 SKILL.md 文件的元技能开发工具。

  • 适合快速创建符合协议规范的 Agent Skill 模板。
  • 通过 clawhub 安装并使用 openclaw skills install shadows-skill-factory 命令启用。
  • 需注意其生成的内容需人工校验是否符合实际业务逻辑。
  • 建议结合官方文档了解触发器与规则配置方式。

SKILL.md

name
skill-factory
description
Meta-skill for creating new agent skills — generates well-structured SKILL.md files with proper frontmatter, triggers, protocols, and rules. Use when building custom skills.
metadata
{ "openclaw": { "emoji": "🏭", "homepage": "https://clawhub.ai/NakedoShadow", "os": ["darwin", "linux", "win32"] } }

Skill Factory — Agent Skill Creator

Version: 1.1.0 | Author: Shadows Company | License: MIT


WHEN TO TRIGGER

  • User wants to create a new skill for their agent
  • User says "create a skill", "make a skill", "new skill for..."
  • Formalizing a recurring workflow into a reusable skill
  • Publishing to ClawHub or any skill registry

WHEN NOT TO TRIGGER

  • User wants to use an existing skill
  • One-time task that won't be repeated

PREREQUISITES

No binaries required. This skill generates SKILL.md files — pure text output. No external tools, runtimes, or dependencies needed to run the skill-factory itself.


SKILL ANATOMY

Every skill MUST have this structure:

---
name: skill-slug-name
description: "When to use this skill and what it does. Include trigger phrases."
metadata: { "openclaw": { "emoji": "X", "requires": { ... }, "os": [...] } }
---

# Skill Name — Subtitle

**Version**: X.Y.Z | **Author**: [Name] | **License**: [License]

## WHEN TO TRIGGER
[Conditions that activate this skill]

## WHEN NOT TO TRIGGER
[Conditions where this skill should NOT be used]

## PREREQUISITES
[Required and optional binaries, tools, and dependencies]

## PROTOCOL / PROCESS
[Step-by-step instructions the agent follows]

## SECURITY CONSIDERATIONS
[What commands run, what data is read, network access, credentials]

## RULES
[Ordered list of constraints and priorities]

## OUTPUT FORMAT
[Template for the skill's output]

CREATION PROCESS

Step 1 — Interview

Ask the user (exactly these 5 questions):

  1. What does the skill do? (core purpose in one sentence)
  2. When should it trigger? (keywords, contexts, conditions)
  3. What's the process? (steps the agent should follow)
  4. What tools does it need? (binaries, APIs, environment variables)
  5. What should it NEVER do? (constraints, safety rules)

Step 2 — Generate Frontmatter

---
name: [kebab-case-name]
description: "[Trigger description — what it does and when to use it]"
metadata: { "openclaw": { "emoji": "[relevant emoji]", "homepage": "[publisher URL]", "requires": { "bins": [...], "env": [...] }, "os": ["darwin", "linux", "win32"] } }
---

Rules for frontmatter:

  • name: lowercase kebab-case, unique, descriptive
  • description: must include trigger phrases for the agent to match
  • metadata: single-line JSON (OpenClaw parser requirement)
  • requires.bins: only include if external tools are strictly needed
  • requires.env: only include if API keys are needed
  • os: include all three unless the skill is platform-specific

Step 3 — Write the Body

Structure the skill body following the anatomy above.

Quality checklist:

  • [ ] Clear trigger conditions (WHEN TO TRIGGER)
  • [ ] Explicit exclusions (WHEN NOT TO TRIGGER)
  • [ ] Prerequisites section listing all required and optional tools
  • [ ] Step-by-step process (numbered phases)
  • [ ] Concrete examples (code blocks, templates)
  • [ ] Security considerations (commands, data access, network, credentials)
  • [ ] Prioritized rules (numbered, most important first)
  • [ ] Output format template
  • [ ] No vague instructions ("do the right thing" = bad, "run pytest on all test files" = good)

Step 4 — Validate

Check the generated skill:

  1. Frontmatter parses as valid YAML
  2. Metadata is valid single-line JSON
  3. Description is under 200 characters
  4. All mandatory sections are present (WHEN TO TRIGGER, WHEN NOT TO TRIGGER, PREREQUISITES, SECURITY CONSIDERATIONS, RULES)
  5. Every instruction is concrete and unambiguous

Step 5 — Save and Test

# Create skill directory
mkdir -p skills/[skill-name]

# Save SKILL.md to the new directory
# (generated content written here)

# Test: start a new agent session and try triggering the skill
# with the phrases listed in the description field

SKILL QUALITY TIERS

TierRequirements
DraftFrontmatter + basic process
Standard+ WHEN NOT TO TRIGGER + rules + output format
Professional+ examples + edge cases + testing instructions
Production+ version history + changelog + published to registry
HIGH TRUST+ PREREQUISITES + SECURITY CONSIDERATIONS + homepage + concrete instructions

COMMON PATTERNS

Pattern: Gate-based (sequential checks)

Gate 1: Check X → PASS/FAIL
Gate 2: Check Y → PASS/FAIL
Gate 3: Check Z → PASS/FAIL
Verdict: ALL PASS = proceed

Pattern: Technique Selection (choose one approach)

Triage → Classify problem
If type A → Technique 1
If type B → Technique 2
If type C → Technique 3

Pattern: Multi-Round (iterative refinement)

Round 1: Explore broadly
Round 2: Challenge assumptions
Round 3: Synthesize
Round 4: Crystallize decision

Pattern: Interview-then-Execute

Phase 1: Ask 3-5 clarifying questions
Phase 2: Generate options
Phase 3: User selects
Phase 4: Execute selection

SECURITY CONSIDERATIONS

This skill generates text files (SKILL.md) only. It does not execute commands, read sensitive data, make network calls, or modify existing files. The generated skills should be reviewed by the user before publishing, as they may include shell commands in their instructions section. Zero risk from the skill-factory itself; standard review practices apply to generated output.


OUTPUT FORMAT

The output is a complete SKILL.md file written to skills/[skill-name]/SKILL.md, following the anatomy structure defined above.


RULES

  1. Unambiguous instructions — the agent must know exactly what to do at each step
  2. Trigger phrases in description — this is how the agent matches skills to user requests
  3. Single-line metadata JSON — OpenClaw parser requires metadata on one line
  4. WHEN NOT TO TRIGGER is mandatory — prevents false activations
  5. Test before publishing — try the skill in a real session before distributing

Published by Shadows Company — "We work in the shadows to serve the Light."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

83.25%
按下载量换算2,786

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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