Token导航 LogoToken导航

Agent Skill · 研究检索

specification-writing(规范编写)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

specification-writing 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,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 37,302。

总安装 1,763周安装 72GitHub Stars 4,485下载 570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
unknown

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:specification-writing(规范编写)
来源仓库:https://github.com/epicenterhq/epicenter
仓库路径:skills/specification-writing
安装命令:
npx skills add https://github.com/epicenterhq/epicenter --skill specification-writing
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/epicenterhq/epicenter --skill specification-writing

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。

specification-writing 用于辅助文档、README 和内容稿件的整理与改写,帮助 Agent 提炼结构、统一术语并生成可读性强的说明文本。适用于功能规划、技术方案编写和对外文案优化,特别适合将零散材料组织成规范的技术规格或产品说明。

使用时需保留项目已有事实和路径信息,避免写成确定结论;涉及对外文案时应控制语气,防止夸大能力或过度营销。安装前应确认权限范围和维护状态,检查是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/specification-writing

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/epicenterhq/epicenter --skill specification-wr…;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

specification-writing 怎么安装?

在终端执行 npx skills add https://github.com/epicenterhq/epicenter --skill specification-writing。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

specification-writing 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

specification-writing 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 npx skills add https://github.com/epicenterhq/epicenter --skill specification-writing 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。

specification-writing 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

specification-writing 用的人多吗?

公开数据是累计安装 1,763 次,近一周安装 72 次,下载 570 次,GitHub 4,485 星。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。

specification-writing 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 4,485 星,维护活跃度相对可查。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
specification-writing

规范编写 · 本页

1,7634,485执行命令未明确通过

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

Specification Writing

Follow writing-voice for prose sections.

A specification gives an agent (or human) the context they need to implement a feature autonomously. The goal is NOT to describe everything exhaustively; it's to provide enough initial context that the implementer can do their own research and make informed decisions.

Note: This guide uses [PLACEHOLDER] markers for content you must fill in. Code blocks show templates; replace all bracketed content with your feature's details.

When to Apply This Skill

Use this pattern when you need to:

  • Plan a feature with a spec that enables autonomous implementation.
  • Document research findings, trade-offs, and design rationale.
  • Define phased implementation tasks with trackable checkboxes.
  • Capture open questions and recommendations without over-prescribing.
  • Lay out architecture with tables/diagrams instead of wall-of-prose plans.

The Core Philosophy

Specs should:

  • Provide context, not instructions: Give the "why" and "what", let the implementer figure out "how"
  • Document research, not conclusions: Show what was explored, what exists, what doesn't
  • Leave questions open: The Open Questions section is a feature, not a bug
  • Enable autonomous implementation: An agent reading this should spawn sub-agents to verify and extend

A good spec is a launching pad, not a script to follow.


Document Structure

Header (Required)

# [Feature Name]

**Date**: [YYYY-MM-DD]
**Status**: Draft | In Progress | Implemented
**Author**: [Name or AI-assisted]
**Branch**: [optional: feat/feature-name if work has started]

Overview

One paragraph max. Describe what the feature does. Don't sell it.

## Overview

[One to two sentences describing what this feature adds or changes and what it enables. Be specific about the capability, not vague about benefits.]

Motivation

Structure as Current State → Problems → Desired State.

## Motivation

### Current State

[Show actual code or configuration demonstrating how things work TODAY. Use real code blocks, not prose descriptions.]

This creates problems:

1. **[Problem Title]**: [Specific explanation of what breaks or is painful]
2. **[Problem Title]**: [Specific explanation of what breaks or is painful]

### Desired State

[Brief description of what the target looks like. Can include a code snippet showing the ideal API or structure.]

Research Findings

This is where specs shine. Document what you FOUND, not what you assumed.

## Research Findings

### [Topic Researched]

[Description of what you investigated and methodology]

| [Category]    | [Dimension 1]  | [Dimension 2]    |
| ------------- | -------------- | ---------------- |
| [Project/Lib] | [What they do] | [Their approach] |
| [Project/Lib] | [What they do] | [Their approach] |

**Key finding**: [Your main discovery—could be that no standard exists, or that everyone does X]

**Implication**: [What this means for your design decisions]

Include:

  • What similar projects do (comparison tables)
  • What you searched for but didn't find ("No Established Pattern Exists")
  • Links or references to documentation you consulted

Design Decisions

Use a table for traceability. Every decision should have a rationale.

## Design Decisions

| Decision            | Choice           | Rationale                       |
| ------------------- | ---------------- | ------------------------------- |
| [Decision point]    | [What you chose] | [Why this over alternatives]    |
| [Decision point]    | [What you chose] | [Why this over alternatives]    |
| [Deferred decision] | Deferred         | [Why it's out of scope for now] |

Architecture

Diagrams over prose. Show relationships visually with ASCII art.

## Architecture

[Describe what the diagram shows]

┌─────────────────────────────────────────┐ │ [Component Name] │ │ ├── [field]: [type or value] │ │ └── [field]: [type or value] │ └─────────────────────────────────────────┘ │ ▼ [relationship label] ┌─────────────────────────────────────────┐ │ [Component Name] │ └─────────────────────────────────────────┘

For multi-step flows:

STEP 1: [Step name] ──────────────────── [What happens in this step]

STEP 2: [Step name] ──────────────────── [What happens in this step]

Implementation Plan

Break into phases. Use checkboxes for tracking. Phase 1 should be detailed; later phases can be rougher (the implementer will flesh them out).

## Implementation Plan

### Phase 1: [Phase Name]

- [ ] **1.1** [Specific, atomic task]
- [ ] **1.2** [Specific, atomic task]
- [ ] **1.3** [Specific, atomic task]

### Phase 2: [Phase Name]

- [ ] **2.1** [Higher-level task—implementer will break down]
- [ ] **2.2** [Higher-level task]

Edge Cases

List scenarios that might break assumptions or need special handling.

## Edge Cases

### [Scenario Name]

1. [Initial condition]
2. [What happens]
3. [Expected outcome or "See Open Questions"]

### [Scenario Name]

1. [Initial condition]
2. [What happens]
3. [Expected outcome]

Open Questions

This section signals "you decide this" to the implementer. Include your recommendation but don't close the question.

## Open Questions

1. **[Question about an unresolved design decision]**
   - Options: (a) [Option A], (b) [Option B], (c) [Option C]
   - **Recommendation**: [Your suggestion and why, but explicitly leave it open]

2. **[Another unresolved question]**
   - [Context about why this is uncertain]
   - **Recommendation**: [Suggestion or "Defer until X"]

Success Criteria

How do we know this is done? Checkboxes for verification.

## Success Criteria

- [ ] [Specific, verifiable outcome]
- [ ] [Specific, verifiable outcome]
- [ ] [Tests pass / build succeeds / docs updated]

References

Files that will be touched or consulted.

## References

- `[path/to/file.ts]` - [Why this file is relevant]
- `[path/to/pattern.ts]` - [Pattern to follow or reference]

Good vs Bad Specs

Good Spec Characteristics

  • Research is documented: Shows what was explored, not just conclusions
  • Decisions have rationale: Every choice has a "why" in a table
  • Questions are left open: Implementer has room to decide
  • Code shows current state: Not described abstractly
  • Architecture is visual: ASCII diagrams over prose
  • Phases are actionable: Checkboxes that can be tracked

Bad Spec Characteristics

  • Prescriptive step-by-step: Reads like a tutorial, no room for autonomy
  • Assumes without research: "We'll use X" without exploring alternatives
  • Closes all questions: No Open Questions section
  • Abstract descriptions: "The system will handle Y" without showing code
  • Wall of prose: No tables, no diagrams, no structure

Writing for Agent Implementers

When an agent reads your spec, they should:

  1. Understand the problem from Motivation section
  2. Know what's been explored from Research Findings
  3. See the proposed direction from Design Decisions
  4. Have a starting point from Implementation Plan Phase 1
  5. Know what to investigate further from Open Questions

The agent will then:

  • Spawn sub-agents to verify your research
  • Explore the Open Questions you left
  • Flesh out later phases of the implementation plan
  • Make decisions where you left room

If your spec is too prescriptive, the agent will blindly follow it. If it's too vague, the agent will flounder. The sweet spot is: enough context to start, enough openness to own the implementation.


Quick Reference Checklist

- [ ] Header (Date, Status, Author)
- [ ] Overview (1-2 sentences)
- [ ] Motivation
  - [ ] Current State (with code)
  - [ ] Problems (numbered)
  - [ ] Desired State
- [ ] Research Findings
  - [ ] Comparison tables
  - [ ] Key findings
  - [ ] Implications
- [ ] Design Decisions (table with rationale)
- [ ] Architecture (ASCII diagrams)
- [ ] Implementation Plan (phased checkboxes)
- [ ] Edge Cases
- [ ] Open Questions (with recommendations)
- [ ] Success Criteria
- [ ] References

Not every spec needs every section. A small feature might skip Research Findings. A migration spec might focus heavily on Edge Cases. Use judgment.

平台分布

Codex

33.71%
按下载量换算192

Claude

31.83%
按下载量换算181

Cursor

19.6%
按下载量换算112

Gemini CLI

8.1%
按下载量换算46

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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 npx skills add https://github.com/epicenterhq/epicenter --skill specification-writing 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。

继续浏览同类 Skills