Agent 生成器
- 作者仓库星标 6,311
- 作者仓库 OpenSpace
Skill Template Generator
Given a structured pattern description (from codebase-pattern-analyzer or manual analysis), generate a valid SKILL.md file that OpenSpace can register, select for tasks, and evolve over time.
When to Use
- After extracting a pattern from a reference codebase, you need to package it as a reusable skill
- You want to create a new skill that teaches an agent how to perform a specific kind of task
- You are converting informal documentation or code examples into the SKILL.md format
SKILL.md Format
Every skill is a directory containing at minimum a SKILL.md file:
my-skill-name/
├── SKILL.md # Required — the skill definition
├── scripts/ # Optional — helper scripts
├── references/ # Optional — reference data files
└── assets/ # Optional — images, templates
Frontmatter (Required)
The file MUST start with YAML frontmatter containing exactly two fields:
---
name: my-skill-name
description: One-sentence description of what this skill teaches. Must be specific enough for LLM skill selection to match it to relevant tasks.
---
Rules:
namemust match the directory name (kebab-case, lowercase)descriptionshould be 15-40 words, include key terms an LLM would search for- No other frontmatter fields — everything else goes in the markdown body
Body Structure
The markdown body follows this template:
# [Skill Title]
[1-2 sentence summary of what this skill enables]
## When to Use
- [Trigger condition 1]
- [Trigger condition 2]
- [Trigger condition 3]
## [Core Content Sections]
[Step-by-step instructions, code templates, API references, etc.]
## Key Patterns
1. [Convention or best practice 1]
2. [Convention or best practice 2]
...
Step 1: Determine Skill Category
Match the pattern to one of three OpenSpace categories:
| Category | Use When | Example |
|---|---|---|
tool_guide |
The skill teaches how to use a specific tool or technique | "How to analyze a codebase", "How to use Finnhub API" |
workflow |
The skill prescribes an end-to-end procedure with ordered steps | "Create a panel component", "Set up API proxy endpoint" |
reference |
The skill provides knowledge that informs decisions | "WorldMonitor architecture index", "News API comparison" |
The category affects how OpenSpace judges the skill during execution analysis:
- workflow: Was the agent able to follow the prescribed steps?
- tool_guide: Did the agent use the described tool/approach?
- reference: Did the knowledge influence agent decisions?
Step 2: Write the Description
The description field is the most critical line — it determines whether OpenSpace selects this skill for a given task.
Good descriptions (specific, searchable):
- "Create a dashboard panel component using vanilla TypeScript DOM API, following the worldmonitor Panel architecture."
- "Integrate with Finnhub Stock API for real-time and historical stock market data."
- "CSS grid layout system for a responsive panel dashboard with dark theme."
Bad descriptions (vague, generic):
- "A useful skill for building things."
- "TypeScript patterns."
- "How to make a panel."
Formula: [Action verb] + [specific subject] + [key technology/approach] + [context/project reference]
Step 3: Write Actionable Instructions
The body must be concrete enough that an AI agent can follow it without guessing.
For Workflow Skills
Include:
- File paths — exact paths where files should be created (
src/components/MyPanel.ts) - Code templates — complete, runnable code blocks (not pseudocode)
- Import statements — every import the code needs
- Interface definitions — typed data shapes
- Integration points — how this connects to other parts of the project
Use {baseDir} for paths relative to the skill directory:
Read the reference file at {baseDir}/references/example.json
For Tool Guide Skills
Include:
- API endpoints — full URLs with parameter documentation
- Auth mechanism — how to authenticate (query param, header, etc.)
- Response shapes — JSON examples with field descriptions
- Rate limits — free tier limitations
- Error handling — common errors and how to handle them
For Reference Skills
Include:
- Structured index — tables, lists, or maps of the reference material
- Key file paths — where to find specific things in the reference codebase
- Architecture decisions — WHY certain patterns were chosen
- Comparison tables — alternatives and tradeoffs
Step 4: Add Dependency Hints
If the skill depends on patterns from other skills, mention them explicitly:
## Prerequisites
This skill builds on:
- `panel-component` — for the Panel base class
- `data-service` — for the circuit breaker pattern
- `api-proxy-endpoint` — for server-side API key isolation
This helps OpenSpace understand skill composition when DERIVING new skills.
Step 5: Validate the Skill
Before saving, verify:
- Frontmatter is valid YAML — no tabs, proper indentation, quotes around special chars
- Name matches directory —
name: foo-barlives infoo-bar/SKILL.md - Code blocks are complete — every snippet can be copy-pasted and run
- No broken references — all file paths and URLs are valid
- Description is specific — would an LLM pick this skill for the right task?
Example: Converting a Pattern to a Skill
Input (from codebase-pattern-analyzer):
Pattern: Circuit Breaker Data Service
Source: worldmonitor/src/services/*.ts
Category: service
Structure: Module-level CircuitBreaker instance, async fetch functions, typed interfaces
Key code: createCircuitBreaker({ name, cacheTtlMs }), breaker.execute(fn, default)
Output (data-service/SKILL.md):
---
name: data-service
description: Create data fetching services with circuit breaker pattern for API resilience. Services handle fetch, cache, retry, and expose typed data to panel components.
---
# Data Service Pattern
Each panel's data comes from a dedicated service module in `src/services/`. ...
## Circuit Breaker
[Full implementation code]
## Service Module Pattern
[Template with typed interfaces, breaker usage, export functions]
## Key Patterns
1. One circuit breaker per API endpoint
2. Export typed interfaces for data shapes
3. Wrap fetch calls in breaker.execute(fn, defaultValue)
...
Evolution Hooks
Skills generated by this workflow are designed to evolve:
- FIX: When an API changes or code pattern breaks, OpenSpace updates the skill in-place
- DERIVED: When a new panel needs a similar service, OpenSpace derives a specialized version
- CAPTURED: When an agent discovers a novel pattern during execution, OpenSpace captures it as a new skill
The better the initial skill quality, the better the evolved descendants.
- 流狐分类
- 数据
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @HKUDS · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需简单配置
- 是否需要外部 API Key
- 需要 · Vendor-specific
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 检测到的网络行为
- 允许外网请求
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Match the pattern to one of three OpenSpace categories: Category · Use When · Example toolguide · The skill teaches how to use a specific tool or technique · "How to analyze a codebase", "How to use Finnhub API"
The description field is the most critical line — it determines whether OpenSpace selects this skill for a given task. Good descriptions (specific, searchable): "Create a dashboard panel component using vanilla TypeScript DOM API, following the worldmonitor…
The body must be concrete enough that an AI agent can follow it without guessing.
Include: File paths — exact paths where files should be created (src/components/MyPanel.ts) Code templates — complete, runnable code blocks (not pseudocode)
# Skill Template Generator
Given a structured pattern description (from `codebase-pattern-analyzer` or manual analysis), generate a valid SKILL.md file that OpenSpace can register, select for tasks, and evolve over time.
## When to Use
- After extracting a pattern from a reference codebase, you need to package it as a reusable skill
- You want to create a new skill that teaches an agent how to perform a specific kind of task
- You are converting informal documentation or code examples into the SKILL.md format
## SKILL.md Format
Every skill is a directory containing at minimum a `SKILL.md` file:
```
my-skill-name/
├── SKILL.md # Required — the skill definition
├── scripts/ # Optional — helper scripts
├── references/ # Optional — reference data files
└── assets/ # Optional — images, templates
```
### Frontmatter (Required)
The file MUST start with YAML frontmatter containing exactly two fields:
```yaml
---
name: my-skill-name
description: One-sentence description of what this skill teaches. Must be specific enough for LLM skill selection to match it to relevant tasks.
---
```
**Rules:**
- `name` must match the directory name (kebab-case, lowercase)
- `description` should be 15-40 words, include key terms an LLM would search for
- No other frontmatter fields — everything else goes in the markdown body
### Body Structure
The markdown body follows this template:
```markdown
# [Skill Title]
[1-2 sentence summary of what this skill enables]
## When to Use
- [Trigger condition 1]
- [Trigger condition 2]
- [Trigger condition 3]
## [Core Content Sections]
[Step-by-step instructions, code templates, API references, etc.]
## Key Patterns
1. [Convention or best practice 1]
2. [Convention or best practice 2]
...
```
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> When to Use → SKILL.md Format → Frontmatter (Required) → Body Structure → [Core Content Sections] → Key Patterns
要点 -> Rules · workflow · toolguide · reference · most critical line · Good descriptions · Bad descriptions · Formula
文件/命令 -> codebase-pattern-analyzer · name · description · toolguide · workflow · reference · [Action verb] + [specific subject] + [key technology/approach] + [context/project reference] · src/components/MyPanel.ts
内容 SHA-256 -> f7762c8a8234
方法与流程
适用与边界
原文中的明确线索
codebase-pattern-analyzer、name、description、toolguide、workflow、reference、[Action verb] + [specific subject] + [key technology/approach] + [context/project reference]、src/components/MyPanel.ts