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spec-writer规范编写者

Agent Skill

spec-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

总安装

256

周安装

11

GitHub Stars

6

下载量

90
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-writer(规范编写者)
来源仓库:https://github.com/kambleakash0/agent-skills
仓库路径:skills/spec-writer
安装命令:
npx skills add https://github.com/kambleakash0/agent-skills --skill spec-writer
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/kambleakash0/agent-skills --skill spec-writer

简介

spec-writer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Write a Product Requirements Document

This skill turns a clarified idea into a structured PRD using conversation and repository context. It assumes that major ambiguities have already been grilled out (for example with /grill-me), but it can also perform its own lightweight clarification when needed.

When to Use

Use this skill when the user:

  • Asks to "write a PRD", "product spec", "requirements doc", "feature specification", or similar.
  • Wants to document a new feature, change, or system in a structured way before implementation.
  • Has already clarified the idea and now needs a single, coherent document you can file as an issue, share with stakeholders, or feed into /slice-the-spec.

If the idea is still fuzzy or underspecified, recommend using /grill-me first and then come back to this skill.

Overall Workflow

You may skip or compress steps that are clearly already complete (for example, if the user pastes a detailed problem statement or user story list).

  1. Collect a rich problem description

- Ask the user for a long, detailed description of: - The problem they want to solve - Who it is for - Why it matters now - Any initial solution ideas or constraints they already have - Encourage them to paste existing context (docs, tickets, research) instead of re‑typing everything.

  1. Explore the repo and verify assumptions

- Inspect the codebase to understand current behavior, relevant modules, data models, and existing APIs. - Cross‑check the user’s assertions: note where the repo agrees, disagrees, or is silent, and adjust your understanding accordingly. - Capture any repo‑grounded facts that will matter for scope, edge cases, or implementation constraints.

  1. Consider alternative approaches

- Ask the user whether they have considered other solution options or design directions. - Briefly outline 2–3 plausible approaches, with trade‑offs (complexity, time‑to‑ship, risk, UX impact). - Confirm which approach you should treat as the primary one for this PRD.

  1. Deep implementation interview (if needed)

- If the requirements still feel high‑level, interview the user about how they want it to behave in detail: flows, states, inputs/outputs, failure modes, permissions, and performance expectations. - Where answers depend on existing behavior, prefer inspecting the repo over guessing. - Make assumptions explicit and ask for confirmation.

  1. Hammer out exact scope

- Work out what will be in scope and explicitly list what is out of scope for this PRD (e.g., deferred edge cases, nice‑to‑haves, follow‑ups). - Clarify the target release slice (MVP vs full feature) and any sequencing or phase‑1/phase‑2 distinctions.

  1. Sketch modules and architecture (lightweight)

- Identify the major modules, services, or components that will be created or modified. - Call out opportunities to extract deep, testable modules that can be validated in isolation (good for later TDD or /tdd usage).

  1. Write the PRD using a structured template

- Draft a complete PRD with clearly labeled sections (see template below). - Use plain, precise language suitable for engineers, PMs, and designers.

  1. File it where it belongs (optional)

- If appropriate, format the PRD as a GitHub issue or markdown file according to the repo’s conventions. - Include labels, owners, and links to related issues or docs if the context provides them.

PRD Template

Use and adapt this structure. You can omit sections that are clearly irrelevant, but err on the side of including them.

1. Summary

  • 2–3 sentences describing what we are building and why.
  • Include the target user segment and the primary outcome we want.

2. Problem Statement

  • Current pain or gap in the product.
  • Who is experiencing it and in what context.
  • Evidence (metrics, anecdotes, user research, support tickets) if available.

3. Goals and Non‑Goals

  • Goals: A short, numbered list of what success looks like.
  • Non‑Goals: Explicitly list what this PRD will not attempt to do.

4. User Stories

A long, numbered list of user stories that captures all important behavior.

Each user story should follow the format:

  1. As an <actor>, I want <feature>, so that <benefit>

- Include acceptance notes or clarifications inline if helpful.

Aim for extensive coverage: core flows, edge cases, permission variations, and failure scenarios.

5. Functional Requirements

  • Detailed description of expected behavior for each major area or flow.
  • System states, transitions, and how different actors interact with the feature.
  • Validation rules, error handling, retries, rate limits, and constraints that matter for correctness.

6. Non‑Functional Requirements

  • Performance, scalability, and latency expectations where relevant.
  • Reliability, availability, and degradation behavior.
  • Security, privacy, and compliance considerations if applicable.

7. Implementation Notes and Architecture

  • High‑level architecture or component diagram in text form.
  • List of modules/services to change or create, and how they interact.
  • Notes that tie back to the current codebase (key classes, endpoints, tables).

8. Out of Scope

  • Explicitly list features, flows, user types, or edge cases that will not be addressed in this PRD.
  • Mention likely follow‑ups or future iterations, if known.

9. Risks and Open Questions

  • Known risks: technical, product, UX, or organizational.
  • Open questions that must be resolved before implementation or rollout.
  • Any assumptions that feel especially fragile.

10. Success Metrics

  • How we will know this work is successful (input and output metrics).
  • If precise numbers are not yet available, describe directional expectations (e.g., “meaningful reduction in support tickets for X”).

Behavior and Rules

  1. Favor structure over prose walls: break content into clear sections and numbered lists.
  2. Use repo facts where possible; do not invent APIs or data models when you can inspect them.
  3. If the user pushes for speed over thoroughness, confirm which sections they want you to prioritize and keep the rest minimal.
  4. If requirements are too vague, ask 1–3 targeted clarification questions instead of guessing.
  5. Aim for a document that an engineer could implement with minimal back‑and‑forth, not a marketing one‑pager.

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

35.11%
按下载量换算32

Claude

28.95%
按下载量换算26

Cursor

20.52%
按下载量换算18

Gemini CLI

9.12%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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