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Agent Skill · 研究检索

spec-generator(规格生成器)

spec-generator 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。

spec-generator 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,权限为需要联网;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 38,269。

总安装 1,584周安装 66GitHub Stars 1,891下载 528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:spec-generator(规格生成器)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/spec-generator
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill spec-generator
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/catlog22/claude-code-workflow --skill spec-generator

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。

spec-generator 通过六阶段分析生成完整规格包,包含产品简报、PRD 与史诗级需求分解文档。适用于新产品立项或系统重构场景,输出结构化需求与架构草图供团队对齐共识。Phase 0 必须研读 specs/ 与 templates/ 目录内容,否则后续阶段无法正确选择 spec_type。

需求扩展阶段采用交互式讨论机制,用户可随时打断并修正方向,避免一次性错误假设扩散。最终产出为 Markdown 文档集,支持 handoff 至 lite-plan 或 req-plan 等现有工作流继续推进。

来源仓库内路径:skills/spec-generator

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/catlog22/claude-code-workflow --skill spec-gen…;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

    它需要需要联网,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

spec-generator 怎么安装?

在终端执行 npx skills add https://github.com/catlog22/claude-code-workflow --skill spec-generator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

spec-generator 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。

spec-generator 需要什么权限?

权限级别是需要联网。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。

spec-generator 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。

spec-generator 用的人多吗?

公开数据是累计安装 1,584 次,近一周安装 66 次,下载 528 次,GitHub 1,891 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。

spec-generator 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 1,891 星,维护活跃度相对可查。

先想清楚的地方

  • 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

  • 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
spec-generator

规格生成器 · 本页

1,5841,891需要联网未明确通过

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

Spec Generator

Structured specification document generator producing a complete specification package (Product Brief, PRD, Architecture, Epics) through 6 sequential phases with multi-CLI analysis and interactive refinement. Document generation only - execution handoff to existing workflows (lite-plan, plan, req-plan).

Architecture Overview

Phase 0:   Specification Study (Read specs/ + templates/ - mandatory prerequisite)
           |
Phase 1:   Discovery               -> spec-config.json + discovery-context.json
           |                           (includes spec_type selection)
Phase 1.5: Req Expansion           -> refined-requirements.json (interactive discussion + CLI gap analysis)
           |                           (-y auto mode: auto-expansion, skip interaction)
Phase 2:   Product Brief            -> product-brief.md + glossary.json  (multi-CLI parallel analysis)
           |
Phase 3:   Requirements (PRD)      -> requirements/  (_index.md + REQ-*.md + NFR-*.md)
           |                           (RFC 2119 keywords, data model definitions)
Phase 4:   Architecture            -> architecture/  (_index.md + ADR-*.md, multi-CLI review)
           |                           (state machine, config model, error handling, observability)
Phase 5:   Epics & Stories         -> epics/  (_index.md + EPIC-*.md)
           |
Phase 6:   Readiness Check         -> readiness-report.md + spec-summary.md
           |                           (terminology + scope consistency validation)
           ├── Pass (>=80%): Handoff to execution workflows
           ├── Review (60-79%): Handoff with caveats
           └── Fail (<60%): Phase 6.5 Auto-Fix (max 2 iterations)
                 |
Phase 6.5: Auto-Fix               -> Updated Phase 2-5 documents
                 |
                 └── Re-run Phase 6 validation

Key Design Principles

  1. Document Chain: Each phase builds on previous outputs, creating a traceable specification chain from idea to executable stories
  2. Multi-Perspective Analysis: CLI tools (Gemini/Codex/Claude) provide product, technical, and user perspectives in parallel
  3. Interactive by Default: Each phase offers user confirmation points; -y flag enables full auto mode
  4. Resumable Sessions: spec-config.json tracks completed phases; -c flag resumes from last checkpoint
  5. Template-Driven: All documents generated from standardized templates with YAML frontmatter
  6. Pure Documentation: No code generation or execution - clean handoff to existing execution workflows
  7. Spec Type Specialization: Templates adapt to spec type (service/api/library/platform) via profiles for domain-specific depth
  8. Iterative Quality: Phase 6.5 auto-fix loop repairs issues found in readiness check (max 2 iterations)
  9. Terminology Consistency: glossary.json generated in Phase 2, injected into all subsequent phases

Mandatory Prerequisites

Do NOT skip: Before performing any operations, you must completely read the following documents. Proceeding without reading the specifications will result in outputs that do not meet quality standards.

Specification Documents (Required Reading)

DocumentPurposePriority
specs/document-standards.mdDocument format, frontmatter, naming conventionsP0 - Must read before execution
specs/quality-gates.mdPer-phase quality gate criteria and scoringP0 - Must read before execution

Template Files (Must read before generation)

DocumentPurpose
templates/product-brief.mdProduct brief document template
templates/requirements-prd.mdPRD document template
templates/architecture-doc.mdArchitecture document template
templates/epics-template.mdEpic/Story document template

Execution Flow

Input Parsing:
   |- Parse $ARGUMENTS: extract idea/topic, flags (-y, -c, -m)
   |- Detect mode: new | continue
   |- If continue: read spec-config.json, resume from first incomplete phase
   |- If new: proceed to Phase 1

Phase 1: Discovery & Seed Analysis
   |- Ref: phases/01-discovery.md
   |- Generate session ID: SPEC-{slug}-{YYYY-MM-DD}
   |- Parse input (text or file reference)
   |- Gemini CLI seed analysis (problem, users, domain, dimensions)
   |- Codebase exploration (conditional, if project detected)
   |- Spec type selection: service|api|library|platform (interactive, -y defaults to service)
   |- User confirmation (interactive, -y skips)
   |- Output: spec-config.json, discovery-context.json (optional)

Phase 1.5: Requirement Expansion & Clarification
   |- Ref: phases/01-5-requirement-clarification.md
   |- CLI gap analysis: completeness scoring, missing dimensions detection
   |- Multi-round interactive discussion (max 5 rounds)
   |  |- Round 1: present gap analysis + expansion suggestions
   |  |- Round N: follow-up refinement based on user responses
   |- User final confirmation of requirements
   |- Auto mode (-y): CLI auto-expansion without interaction
   |- Output: refined-requirements.json

Phase 2: Product Brief
   |- Ref: phases/02-product-brief.md
   |- 3 parallel CLI analyses: Product (Gemini) + Technical (Codex) + User (Claude)
   |- Synthesize perspectives: convergent themes + conflicts
   |- Generate glossary.json (terminology from product brief + CLI analysis)
   |- Interactive refinement (-y skips)
   |- Output: product-brief.md (from template), glossary.json

Phase 3: Requirements / PRD
   |- Ref: phases/03-requirements.md
   |- Gemini CLI: expand goals into functional + non-functional requirements
   |- Generate acceptance criteria per requirement
   |- RFC 2119 behavioral constraints (MUST/SHOULD/MAY)
   |- Core entity data model definitions
   |- Glossary injection for terminology consistency
   |- User priority sorting: MoSCoW (interactive, -y auto-assigns)
   |- Output: requirements/ directory (_index.md + REQ-*.md + NFR-*.md, from template)

Phase 4: Architecture
   |- Ref: phases/04-architecture.md
   |- Gemini CLI: core components, tech stack, ADRs
   |- Codebase integration mapping (conditional)
   |- State machine generation (ASCII diagrams for lifecycle entities)
   |- Configuration model definition (fields, types, defaults, constraints)
   |- Error handling strategy (per-component classification + recovery)
   |- Observability specification (metrics, logs, health checks)
   |- Spec type profile injection (templates/profiles/{type}-profile.md)
   |- Glossary injection for terminology consistency
   |- Codex CLI: architecture challenge + review
   |- Interactive ADR decisions (-y auto-accepts)
   |- Output: architecture/ directory (_index.md + ADR-*.md, from template)

Phase 5: Epics & Stories
   |- Ref: phases/05-epics-stories.md
   |- Gemini CLI: requirement grouping into Epics, MVP subset tagging
   |- Story generation: As a...I want...So that...
   |- Dependency mapping (Mermaid)
   |- Interactive validation (-y skips)
   |- Output: epics/ directory (_index.md + EPIC-*.md, from template)

Phase 6: Readiness Check
   |- Ref: phases/06-readiness-check.md
   |- Cross-document validation (completeness, consistency, traceability)
   |- Quality scoring per dimension
   |- Terminology consistency validation (glossary compliance)
   |- Scope containment validation (PRD <= Brief scope)
   |- Output: readiness-report.md, spec-summary.md
   |- Handoff options: lite-plan, req-plan, plan, issue:new, export only, iterate

Phase 6.5: Auto-Fix (conditional, triggered when Phase 6 score < 60%)
   |- Ref: phases/06-5-auto-fix.md
   |- Parse readiness-report.md for Error/Warning items
   |- Group issues by originating Phase (2-5)
   |- Re-generate affected sections via CLI with error context
   |- Re-run Phase 6 validation
   |- Max 2 iterations, then force handoff
   |- Output: Updated Phase 2-5 documents

Complete: Full specification package ready for execution

Phase 6 → Handoff Bridge (conditional, based on user selection):
   ├─ lite-plan: Extract first MVP Epic description → direct text input
   ├─ plan / req-plan: Create WFS session + .brainstorming/ bridge files
   │   ├─ guidance-specification.md (synthesized from spec outputs)
   │   ├─ feature-specs/feature-index.json (Epic → Feature mapping)
   │   └─ feature-specs/F-{num}-{slug}.md (one per Epic)
   ├─ issue:new: Create issues per Epic
   └─ context-search-agent auto-discovers .brainstorming/
       → context-package.json.brainstorm_artifacts populated
       → action-planning-agent consumes: guidance_spec (P1) → feature_index (P2)

Directory Setup

// Session ID generation
const slug = topic.toLowerCase().replace(/[^a-z0-9\u4e00-\u9fff]+/g, '-').slice(0, 40);
const date = new Date().toISOString().slice(0, 10);
const sessionId = `SPEC-${slug}-${date}`;
const workDir = `.workflow/.spec/${sessionId}`;

Bash(`mkdir -p "${workDir}"`);

Output Structure

.workflow/.spec/SPEC-{slug}-{YYYY-MM-DD}/
├── spec-config.json              # Session configuration + phase state
├── discovery-context.json        # Codebase exploration results (optional)
├── refined-requirements.json     # Phase 1.5: Confirmed requirements after discussion
├── glossary.json                 # Phase 2: Terminology glossary for cross-doc consistency
├── product-brief.md              # Phase 2: Product brief
├── requirements/                 # Phase 3: Detailed PRD (directory)
│   ├── _index.md                 #   Summary, MoSCoW table, traceability, links
│   ├── REQ-NNN-{slug}.md         #   Individual functional requirement
│   └── NFR-{type}-NNN-{slug}.md  #   Individual non-functional requirement
├── architecture/                 # Phase 4: Architecture decisions (directory)
│   ├── _index.md                 #   Overview, components, tech stack, links
│   └── ADR-NNN-{slug}.md         #   Individual Architecture Decision Record
├── epics/                        # Phase 5: Epic/Story breakdown (directory)
│   ├── _index.md                 #   Epic table, dependency map, MVP scope
│   └── EPIC-NNN-{slug}.md        #   Individual Epic with Stories
├── readiness-report.md           # Phase 6: Quality report
└── spec-summary.md               # Phase 6: One-page executive summary

State Management

spec-config.json serves as core state file:

{
  "session_id": "SPEC-xxx-2026-02-11",
  "seed_input": "User input text",
  "input_type": "text",
  "timestamp": "ISO8601",
  "mode": "interactive",
  "complexity": "moderate",
  "depth": "standard",
  "focus_areas": [],
  "spec_type": "service",
  "iteration_count": 0,
  "iteration_history": [],
  "seed_analysis": {
    "problem_statement": "...",
    "target_users": [],
    "domain": "...",
    "constraints": [],
    "dimensions": []
  },
  "has_codebase": false,
  "refined_requirements_file": "refined-requirements.json",
  "phasesCompleted": [
    { "phase": 1, "name": "discovery", "output_file": "spec-config.json", "completed_at": "ISO8601" },
    { "phase": 1.5, "name": "requirement-clarification", "output_file": "refined-requirements.json", "discussion_rounds": 2, "completed_at": "ISO8601" },
    { "phase": 3, "name": "requirements", "output_dir": "requirements/", "output_index": "requirements/_index.md", "file_count": 8, "completed_at": "ISO8601" }
  ]
}

Resume mechanism: -c|--continue flag reads spec-config.json.phasesCompleted, resumes from first incomplete phase.

Core Rules

  1. Start Immediately: First action is TaskCreate initialization, then Phase 0 (spec study), then Phase 1
  2. Progressive Phase Loading: Read phase docs ONLY when that phase is about to execute
  3. Auto-Continue: All phases run autonomously; check TaskList to execute next pending phase
  4. Parse Every Output: Extract required data from each phase for next phase context
  5. DO NOT STOP: Continuous 6-phase pipeline until all phases complete or user exits
  6. Respect -y Flag: When auto mode, skip all AskUserQuestion calls, use recommended defaults
  7. Respect -c Flag: When continue mode, load spec-config.json and resume from checkpoint
  8. Inject Glossary: From Phase 3 onward, inject glossary.json terms into every CLI prompt
  9. Load Profile: Read templates/profiles/{spec_type}-profile.md and inject requirements into Phase 2-5 prompts
  10. Iterate on Failure: When Phase 6 score < 60%, auto-trigger Phase 6.5 (max 2 iterations)

Reference Documents by Phase

Phase 1: Discovery

DocumentPurposeWhen to Use
phases/01-discovery.mdSeed analysis and session setupPhase start
templates/profiles/Spec type profilesSpec type selection
specs/document-standards.mdFrontmatter format for spec-config.jsonConfig generation

Phase 1.5: Requirement Expansion & Clarification

DocumentPurposeWhen to Use
phases/01-5-requirement-clarification.mdInteractive requirement discussion workflowPhase start
specs/quality-gates.mdQuality criteria for refined requirementsValidation

Phase 2: Product Brief

DocumentPurposeWhen to Use
phases/02-product-brief.mdMulti-CLI analysis orchestrationPhase start
templates/product-brief.mdDocument templateDocument generation
specs/glossary-template.jsonGlossary schemaGlossary generation

Phase 3: Requirements

DocumentPurposeWhen to Use
phases/03-requirements.mdPRD generation workflowPhase start
templates/requirements-prd.mdDocument templateDocument generation

Phase 4: Architecture

DocumentPurposeWhen to Use
phases/04-architecture.mdArchitecture decision workflowPhase start
templates/architecture-doc.mdDocument templateDocument generation

Phase 5: Epics & Stories

DocumentPurposeWhen to Use
phases/05-epics-stories.mdEpic/Story decompositionPhase start
templates/epics-template.mdDocument templateDocument generation

Phase 6: Readiness Check

DocumentPurposeWhen to Use
phases/06-readiness-check.mdCross-document validationPhase start
specs/quality-gates.mdQuality scoring criteriaValidation

Phase 6.5: Auto-Fix

DocumentPurposeWhen to Use
phases/06-5-auto-fix.mdAuto-fix workflow for readiness issuesWhen Phase 6 score < 60%
specs/quality-gates.mdIteration exit criteriaValidation

Debugging & Troubleshooting

IssueSolution Document
Phase execution failedRefer to the relevant Phase documentation
Output does not meet expectationsspecs/quality-gates.md
Document format issuesspecs/document-standards.md

Error Handling

PhaseErrorBlocking?Action
Phase 1Empty inputYesError and exit
Phase 1CLI seed analysis failsNoUse basic parsing fallback
Phase 1.5Gap analysis CLI failsNoSkip to user questions with basic prompts
Phase 1.5User skips discussionNoProceed with seed_analysis as-is
Phase 1.5Max rounds reached (5)NoForce confirmation with current state
Phase 2Single CLI perspective failsNoContinue with available perspectives
Phase 2All CLI calls failNoGenerate basic brief from seed analysis
Phase 3Gemini CLI failsNoUse codex fallback
Phase 4Architecture review failsNoSkip review, proceed with initial analysis
Phase 5Story generation failsNoGenerate epics without detailed stories
Phase 6Validation CLI failsNoGenerate partial report with available data
Phase 6.5Auto-fix CLI failsNoLog failure, proceed to handoff with Review status
Phase 6.5Max iterations reachedNoForce handoff, report remaining issues

CLI Fallback Chain

Gemini -> Codex -> Claude -> degraded mode (local analysis only)

平台分布

Codex

34.8%
按下载量换算184

Claude

27.03%
按下载量换算143

Cursor

19.71%
按下载量换算104

Gemini CLI

9.52%
按下载量换算50

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。目前只有一个公开来源,建议同时核对源仓库。

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