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Agent Skill · 研究检索

speckit-specify(规格套件指定)

speckit-specify 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。

speckit-specify 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 21,287。

总安装 4,916周安装 209GitHub Stars 75下载 1,722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:speckit-specify(规格套件指定)
来源仓库:https://github.com/dceoy/speckit-agent-skills
仓库路径:skills/speckit-specify
安装命令:
npx skills add https://github.com/dceoy/speckit-agent-skills --skill speckit-specify
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/dceoy/speckit-agent-skills --skill speckit-specify

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。

speckit-specify 将自然语言需求转化为结构化功能规格文档,生成简明分支名与关键词。基于用户描述提取核心要素,创建 2-4 字短名与分类标签,便于后续追踪。输出 YAML 格式 spec 文件,包含背景、目标与验收标准等必要章节。若描述模糊需主动提问澄清,避免生成空洞规格导致开发方向偏差。

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/speckit-specify

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/dceoy/speckit-agent-skills --skill speckit-spe…;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

speckit-specify 怎么安装?

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

speckit-specify 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。

speckit-specify 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/dceoy/speckit-agent-skills --skill speckit-specify 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。

speckit-specify 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。

speckit-specify 用的人多吗?

公开数据是累计安装 4,916 次,近一周安装 209 次,下载 1,722 次,GitHub 75 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。

speckit-specify 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
speckit-specify

规格套件指定 · 本页

4,91675执行命令未明确未通过

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

Spec Kit Specify Skill

When to Use

  • The user wants a new or updated feature spec from a natural language description.

Inputs

  • Feature description from the user.
  • Repo context with .specify/ scripts and templates.

If the description is missing or unclear, ask a targeted question before continuing.

Workflow

The user's feature description in the request is the input. Do not ask them to repeat it unless it is missing.

Given that feature description, do this:

  1. Generate a concise short name (2-4 words) for the branch:

- Analyze the feature description and extract the most meaningful keywords - Create a 2-4 word short name that captures the essence of the feature - Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug") - Preserve technical terms and acronyms (OAuth2, API, JWT, etc.) - Keep it concise but descriptive enough to understand the feature at a glance - Examples: - "I want to add user authentication" → "user-auth" - "Implement OAuth2 integration for the API" → "oauth2-api-integration" - "Create a dashboard for analytics" → "analytics-dashboard" - "Fix payment processing timeout bug" → "fix-payment-timeout"

  1. Check for existing branches before creating new one: a. First, fetch all remote branches to ensure we have the latest information: git fetch --all --prune b. Find the highest feature number across all sources for the short-name: c. Determine the next available number: d. Run the script .specify/scripts/bash/create-new-feature.sh --json "<feature description>" with the calculated number and short-name: IMPORTANT:

- Remote branches: git ls-remote --heads origin | grep -E 'refs/heads/[0-9]+-<short-name>$' - Local branches: git branch | grep -E '^[*]*[0-9]+-<short-name>$' - Specs directories: Check for directories matching specs/[0-9]+-<short-name> - Extract all numbers from all three sources - Find the highest number N - Use N+1 for the new branch number - Pass --number N+1 and --short-name "your-short-name" along with the feature description - Bash example: .specify/scripts/bash/create-new-feature.sh --json --number 5 --short-name "user-auth" "Add user authentication" - PowerShell example: .specify/scripts/bash/create-new-feature.sh -Json -Number 5 -ShortName "user-auth" "Add user authentication" - Check all three sources (remote branches, local branches, specs directories) to find the highest number - Only match branches/directories with the exact short-name pattern - If no existing branches/directories found with this short-name, start with number 1 - You must only ever run this script once per feature - The JSON is provided in the terminal as output - always refer to it to get the actual content you're looking for - The JSON output will contain BRANCH_NAME and SPEC_FILE paths - For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot")

  1. Load .specify/templates/spec-template.md to understand required sections.
  2. Follow this execution flow:

1. Parse user description from Input If empty: ERROR "No feature description provided" 2. Extract key concepts from description Identify: actors, actions, data, constraints 3. For unclear aspects: - Make informed guesses based on context and industry standards - Only mark with [NEEDS CLARIFICATION: specific question] if: - The choice significantly impacts feature scope or user experience - Multiple reasonable interpretations exist with different implications - No reasonable default exists - LIMIT: Maximum 3 [NEEDS CLARIFICATION] markers total - Prioritize clarifications by impact: scope > security/privacy > user experience > technical details 4. Fill User Scenarios & Testing section If no clear user flow: ERROR "Cannot determine user scenarios" 5. Generate Functional Requirements Each requirement must be testable Use reasonable defaults for unspecified details (document assumptions in Assumptions section) 6. Define Success Criteria Create measurable, technology-agnostic outcomes Include both quantitative metrics (time, performance, volume) and qualitative measures (user satisfaction, task completion) Each criterion must be verifiable without implementation details 7. Identify Key Entities (if data involved) 8. Return: SUCCESS (spec ready for planning)

  1. Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
  2. Specification Quality Validation: After writing the initial spec, validate it against quality criteria: a. Create Spec Quality Checklist: Generate a checklist file at FEATURE_DIR/checklists/requirements.md using the checklist template structure with these validation items: # Specification Quality Checklist: [FEATURE NAME] **Purpose**: Validate specification completeness and quality before proceeding to planning **Created**: [DATE] **Feature**: [Link to spec.md] ## Content Quality - [] No implementation details (languages, frameworks, APIs) - [] Focused on user value and business needs - [] Written for non-technical stakeholders - [] All mandatory sections completed ## Requirement Completeness - [] No [NEEDS CLARIFICATION] markers remain - [] Requirements are testable and unambiguous - [] Success criteria are measurable - [] Success criteria are technology-agnostic (no implementation details) - [] All acceptance scenarios are defined - [] Edge cases are identified - [] Scope is clearly bounded - [] Dependencies and assumptions identified ## Feature Readiness - [] All functional requirements have clear acceptance criteria - [] User scenarios cover primary flows - [] Feature meets measurable outcomes defined in Success Criteria - [] No implementation details leak into specification ## Notes - Items marked incomplete require spec updates before the speckit-clarify or speckit-plan skills b. Run Validation Check: Review the spec against each checklist item: c. Handle Validation Results: d. Update Checklist: After each validation iteration, update the checklist file with current pass/fail status

- For each item, determine if it passes or fails - Document specific issues found (quote relevant spec sections) - If all items pass: Mark checklist complete and proceed to step 6 - If items fail (excluding [NEEDS CLARIFICATION]): 1. List the failing items and specific issues 2. Update the spec to address each issue 3. Re-run validation until all items pass (max 3 iterations) 4. If still failing after 3 iterations, document remaining issues in checklist notes and warn user - If [NEEDS CLARIFICATION] markers remain: 1. Extract all [NEEDS CLARIFICATION:...] markers from the spec 2. LIMIT CHECK: If more than 3 markers exist, keep only the 3 most critical (by scope/security/UX impact) and make informed guesses for the rest 3. For each clarification needed (max 3), present options to user in this format: ## Question [N]: [Topic] **Context**: [Quote relevant spec section] **What we need to know**: [Specific question from NEEDS CLARIFICATION marker] **Suggested Answers**: | Option | Answer | Implications | | ------ | ------------------------- | ------------------------------------- | | A | [First suggested answer] | [What this means for the feature] | | B | [Second suggested answer] | [What this means for the feature] | | C | [Third suggested answer] | [What this means for the feature] | | Custom | Provide your own answer | [Explain how to provide custom input] | **Your choice**: _[Wait for user response]_ 4. CRITICAL - Table Formatting: Ensure markdown tables are properly formatted: - Use consistent spacing with pipes aligned - Each cell should have spaces around content: | Content | not |Content| - Header separator must have at least 3 dashes: |--------| - Test that the table renders correctly in markdown preview 5. Number questions sequentially (Q1, Q2, Q3 - max 3 total) 6. Present all questions together before waiting for responses 7. Wait for user to respond with their choices for all questions (e.g., "Q1: A, Q2: Custom - [details], Q3: B") 8. Update the spec by replacing each [NEEDS CLARIFICATION] marker with the user's selected or provided answer 9. Re-run validation after all clarifications are resolved

  1. Report completion with branch name, spec file path, checklist results, and readiness for the next phase (speckit-clarify or speckit-plan).

NOTE: The script creates and checks out the new branch and initializes the spec file before writing.

Outputs

  • specs/<feature>/spec.md
  • specs/<feature>/checklists/requirements.md
  • New feature branch created by .specify/scripts/bash/create-new-feature.sh

Next Steps

After generating the spec:

  • Clarify requirements with speckit-clarify.
  • Plan implementation with speckit-plan.

General Guidelines

Quick Guidelines

  • Focus on WHAT users need and WHY.
  • Avoid HOW to implement (no tech stack, APIs, code structure).
  • Written for business stakeholders, not developers.
  • DO NOT create any checklists that are embedded in the spec. That will be a separate skill.

Section Requirements

  • Mandatory sections: Must be completed for every feature
  • Optional sections: Include only when relevant to the feature
  • When a section doesn't apply, remove it entirely (don't leave as "N/A")

For AI Generation

When creating this spec from a user prompt:

  1. Make informed guesses: Use context, industry standards, and common patterns to fill gaps
  2. Document assumptions: Record reasonable defaults in the Assumptions section
  3. Limit clarifications: Maximum 3 [NEEDS CLARIFICATION] markers - use only for critical decisions that:

- Significantly impact feature scope or user experience - Have multiple reasonable interpretations with different implications - Lack any reasonable default

  1. Prioritize clarifications: scope > security/privacy > user experience > technical details
  2. Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item
  3. Common areas needing clarification (only if no reasonable default exists):

- Feature scope and boundaries (include/exclude specific use cases) - User types and permissions (if multiple conflicting interpretations possible) - Security/compliance requirements (when legally/financially significant)

Examples of reasonable defaults (don't ask about these):

  • Data retention: Industry-standard practices for the domain
  • Performance targets: Standard web/mobile app expectations unless specified
  • Error handling: User-friendly messages with appropriate fallbacks
  • Authentication method: Standard session-based or OAuth2 for web apps
  • Integration patterns: RESTful APIs unless specified otherwise

Success Criteria Guidelines

Success criteria must be:

  1. Measurable: Include specific metrics (time, percentage, count, rate)
  2. Technology-agnostic: No mention of frameworks, languages, databases, or tools
  3. User-focused: Describe outcomes from user/business perspective, not system internals
  4. Verifiable: Can be tested/validated without knowing implementation details

Good examples:

  • "Users can complete checkout in under 3 minutes"
  • "System supports 10,000 concurrent users"
  • "95% of searches return results in under 1 second"
  • "Task completion rate improves by 40%"

Bad examples (implementation-focused):

  • "API response time is under 200ms" (too technical, use "Users see results instantly")
  • "Database can handle 1000 TPS" (implementation detail, use user-facing metric)
  • "React components render efficiently" (framework-specific)
  • "Redis cache hit rate above 80%" (technology-specific)

平台分布

Codex

35.75%
按下载量换算616

Claude

31.42%
按下载量换算541

Cursor

18.33%
按下载量换算316

Gemini CLI

8.48%
按下载量换算146

安全审计

Gen Agent Trust Hub

未通过

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/dceoy/speckit-agent-skills --skill speckit-specify 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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