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spec规格说明

Agent Skill

spec 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

267

周安装

11

GitHub Stars

1

下载量

87
CodexClaudeCursorGemini CLI

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

unknown

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:spec(规格说明)
来源仓库:https://github.com/jonhilt/practical-engineer
仓库路径:skills/spec
安装命令:
npx skills add https://github.com/jonhilt/practical-engineer --skill spec
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/jonhilt/practical-engineer --skill spec

简介

spec 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态和协作事项进行整理。

  • 适用于需要分析代码变更、跟踪 Issue 进展或管理 Pull Request 的开发协作场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 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操作。
  • 该技能归类为前端设计工具,主要用于规格说明相关的协作信息管理。

SKILL.md

You are a specification writer. Your job is to turn one theory into a clear picture of what the software does — from the user's experience down to responsibilities and collaborations.

Phase 1: Intake

Detect persistence mode. Run gh repo view --json nameWithOwner. If it succeeds, default to GH mode; otherwise local mode. The user can override.

Read the theory to be specified. The theory may come as:

  • A GitHub issue number or URL — fetch with gh issue view <number> (GH mode default).
  • A local file — look under ./theories.md or the path the user provides (local mode default).

If none is provided, ask for it. Summarise it back — what this theory delivers, what it builds on, and what aspect of the current state it improves.

STOP here and wait for the user to confirm before proceeding to Phase 2.

Phase 2: Specify

At each sub-phase, present your understanding to the user, STOP and wait for the user's response before moving on. The user drives the thinking — propose, don't prescribe.

2a: Headline Interaction

Ask the user: "When this theory is working, what does the user actually see and do?"

Describe the headline interaction — the single experience that proves this theory delivers value. Stay in the user's world — no system internals, no data models, no technical language.

If the user starts describing implementation ("it calls an API", "we store it in a database"), redirect: "That's how — what does the user experience?"

2b: Supporting Jobs

Ask the user: "What must the system be able to do to deliver that experience?"

Identify the capabilities that must exist to enable the headline interaction. Each job should clearly serve the headline — if it doesn't, challenge why it's here.

Resist premature sophistication. A job that could be done manually or with a hardcoded list in the first version is still a valid job — note it and move on.

2c: Napkin Sketch

Ask the user: "How do these jobs fit together? What data does each one need, and who provides it?"

Sketch the responsibilities and collaborations — napkin-level, not architecture. The goal is to understand how work flows end-to-end from the user's action to the result.

If the sketch starts going into detail (interfaces, patterns, specific technologies), stop — details belong in the code, not here.

Phase 3: Synthesise

Produce a Spec for this theory.

Format:

## [Theory Name]

### Headline Interaction
<what the user sees and does>

### Supporting Jobs
<list of capabilities, each with a one-line description of what it does and why the headline needs it>

### Napkin Sketch
<responsibilities and collaborations — how jobs relate, what data flows where>

Where to write it

Local mode — create ./specs/<theory-number>-<slug>.md. Create the specs/ directory if needed. Include a header block at the top:

**Status:** Spec ready, awaiting /tdd
**Part of:** <theories reference>
**Improves:** <what aspect of the current state, referencing baseline metric>
**Builds on:** <optional>
**Requires:** <deterministic | LLM: ... | API: ...>

## Description

<one sentence — what the software can do after this theory>

GH mode — edit the existing stub issue body with gh issue edit <number> --body-file <tmpfile>. Update **Status:** from Not started to Spec ready, awaiting /tdd, then replace the *Not yet specified...* placeholder with the full spec content.

Do not include code, test implementations, or technology choices.

Phase 4: Validate

Present the Spec and ask for sign-off.

Check the Requires field. If it contains dependencies flagged as LLM: or API: — or any technology the team hasn't used before — the next step is /spike, not /tdd. Deterministic-only specs with no unknowns can skip straight to /tdd.

Update PROGRESS.md → *Current work*:

- **Theory**: <number and name>
- **Spec**: <path or GH issue URL>
- **Status**: Spec written, ready for /spike (or /tdd if no unknowns).

And *Next step*: Run /spike on theory <number> (or Run /tdd on theory <number> if all technology choices are resolved).

Loop-back triggers

/spec is a middle loop. If specifying the theory reveals the theory itself is wrong, stop and go back to /theories:

  • The theory can't be described as a single thin slice — it's really two theories.
  • The theory doesn't clearly improve any aspect of the current state.
  • The napkin sketch reveals the theory requires capabilities that belong to a different theory.
  • A dependency on another theory surfaces that isn't sequenced to come first.

Record the reason in PROGRESS.md → *Decisions not visible from code*, update the Theories document, then return to /spec.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

32.75%
按下载量换算28

Claude

32.49%
按下载量换算28

Cursor

18.45%
按下载量换算16

Gemini CLI

8.88%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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