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Agent Skill · 研究检索

spec-driven(规格驱动)

spec-driven 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-driven 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,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 47,337。

总安装 737周安装 31GitHub Stars 2下载 258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-driven(规格驱动)
来源仓库:https://github.com/adeonir/agents-skills
仓库路径:skills/spec-driven
安装命令:
npx skills add https://github.com/adeonir/agents-skills --skill spec-driven
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/adeonir/agents-skills --skill spec-driven

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。

用于规格驱动的开发流程,支持从需求指定到任务执行再到持续验证的完整闭环。支持在 Codex、Claude、Cursor、Gemini CLI 中运行,适用于中小型功能开发与重构任务。通过 GitHub 安装,自动跳过小范围变更的计划与任务分解,聚焦核心实现与验证。

每次任务执行后自动验证并通过勾选标记记录状态,便于后续审计与回归测试。建议结合项目上下文与状态文件维护长期记忆,控制总上下文不超过 40k token。

来源仓库内路径:skills/spec-driven

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/adeonir/agents-skills --skill spec-driven;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

    它需要调用外部服务,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-driven 怎么安装?

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

spec-driven 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-driven 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

spec-driven 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-driven 用的人多吗?

公开数据是累计安装 737 次,近一周安装 31 次,下载 258 次,GitHub 2 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-driven 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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

  • 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

  • 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-driven

规格驱动 · 本页

7372调用外部服务未明确有提醒

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-Driven Development

Structured development workflow with adaptive depth. Right ceremony for the right scope.

Workflow

specify --> plan* --> tasks* --> execute
  ^___________________________|  (verify after each task)

Adaptive pipeline: Specify and Execute always run; Plan and Tasks auto-skip when scope is small enough. Verification is continuous throughout Execute.

Context Loading Strategy

Base load (~15k tokens):

  • .agents/project.md (context, if exists)
  • .artifacts/state.md (persistent memory)
  • Current feature spec.md

On-demand:

  • .agents/codebase/*.md (brownfield)
  • decisions.md (designing or executing from user decisions)
  • plan.md (executing)
  • tasks.md (executing)
  • research/*.md (new technologies)

Never simultaneous:

  • Multiple feature specs
  • Multiple codebase docs

Target: <40k tokens total context Reserve: 160k+ tokens for work, reasoning, outputs

Triggers

Feature-Level (auto-sized)

Trigger PatternReference
Create new feature, specify featurespecify.md/spec-driven/references/specify.md)
Modify feature, improve featurespecify.md/spec-driven/references/specify.md) (brownfield)
Discuss feature, capture context, how should this workdiscuss.md/spec-driven/references/discuss.md)
Create technical planplan.md/spec-driven/references/plan.md)
Research technology, cache researchresearch.md/spec-driven/references/research.md)
Create taskstasks.md/spec-driven/references/tasks.md)
Execute task, implement taskexecute.md/spec-driven/references/execute.md)
Validate, UAT, verify workvalidate.md/spec-driven/references/validate.md) (within Execute)
Quick fix, quick task, small change, bug fixquick-mode.md/spec-driven/references/quick-mode.md)
List features, show statusstatus-specs.md/spec-driven/references/status-specs.md)

Project-Level

Trigger PatternReference
Record decision, log blocker, add deferred ideastate-management.md/spec-driven/references/state-management.md)

Guidelines

Trigger PatternReference
How to write specsspec-writing.md/spec-driven/references/spec-writing.md)
How to decompose taskstasks.md/spec-driven/references/tasks.md)
Codebase explorationcodebase-exploration.md/spec-driven/references/codebase-exploration.md)
Research patternsresearch.md/spec-driven/references/research.md)
Baseline discoverybaseline-discovery.md/spec-driven/references/baseline-discovery.md)
Extract from PRD/docsdoc-extraction.md/spec-driven/references/doc-extraction.md)
Coding principlescoding-principles.md/spec-driven/references/coding-principles.md)
Status workflow, when to update statusstatus-workflow.md/spec-driven/references/status-workflow.md)

Cross-References

specify.md -------> discuss.md (when gray areas detected)
specify.md -------> quick-mode.md (when Small scope)
specify.md -------> plan.md (when Large/Complex, spec complete)
specify.md -------> execute.md (when Medium, skip plan/tasks)
plan.md ----------> tasks.md (when Large/Complex)
plan.md ----------> research.md (if new tech)
tasks.md ---------> execute.md
execute.md -------> coding-principles.md (loaded before coding)
execute.md -------> validate.md (interactive UAT, Complex scope)
execute.md -------> tasks.md (safety valve: >5 inline steps)

Auto-Sizing

Complexity determines depth, not a fixed pipeline. Before starting any feature, assess its scope and apply only what's needed:

ScopeWhatSpecifyPlanTasksExecute
Small≤3 files, one sentenceQuick mode -- skip pipeline entirely---
MediumClear feature, <10 tasksSpec (brief)Skip -- explore inlineSkip -- steps implicitImplement + verify per step
LargeMulti-component featureFull spec + requirement IDsFull planFull breakdown + dependenciesImplement + verify per task
ComplexAmbiguity, new domainFull spec + discuss gray areas/spec-driven/references/discuss.md)Research + full planBreakdown + parallel planImplement + verify per task + interactive UAT/spec-driven/references/validate.md)

Rules:

  • Specify and Execute are always required -- you always need to know WHAT and DO it
  • Plan is skipped when the change is straightforward (no architectural decisions, no new patterns)
  • Tasks is skipped when there are ≤3 obvious steps (they become implicit in Execute)
  • Discuss is triggered within Specify only when the agent detects ambiguous gray areas that need user input
  • Interactive UAT is triggered within Execute only for Complex scope with user-facing features
  • Quick mode is the express lane -- for bug fixes, config changes, and small tweaks
  • Verification is continuous -- quality gates and acceptance criteria run after each task or range, never deferred to the end

Safety valve: Even when Tasks is skipped, Execute ALWAYS starts by listing atomic steps inline (see execute.md/spec-driven/references/execute.md)). If that listing reveals >5 steps or complex dependencies, STOP and create a formal tasks.md -- the Tasks phase was wrongly skipped.

Project Structure

.artifacts/
├── state.md              # Decisions, blockers, lessons, deferred ideas (persistent)
├── features/
│   └── {ID}-{name}/
│       ├── spec.md       # WHAT: Requirements (always created)
│       ├── decisions.md    # WHY: Decisions on gray areas (only when discuss triggered)
│       ├── plan.md       # HOW: Architecture (only for Large/Complex)
│       ├── tasks.md      # WHEN: Tasks (only for Large/Complex)
│       └── designs/      # Visual references (optional)
├── quick/                # Quick mode tasks
│   └── NNN-{slug}/
│       └── task.md
└── research/             # Research cache (reusable across features)
    └── {topic}.md

Project context (generated by project-index skill):

.agents/
├── project.md            # Project context
└── codebase/             # Codebase analysis
Note: .agents/ is generated by the project-index skill. If it exists, spec-driven uses and updates it. If not, Specify suggests running project-index for better context (especially for brownfield projects). All feature artifacts stay within .artifacts/.

Templates

ContextTemplate
Feature specspec.md/spec-driven/templates/spec.md)
Discuss contextdecisions.md/spec-driven/templates/decisions.md)
Technical planplan.md/spec-driven/templates/plan.md)
Task breakdowntasks.md/spec-driven/templates/tasks.md)
Project statestate.md/spec-driven/templates/state.md)
Quick taskquick-task.md/spec-driven/templates/quick-task.md)
Codebase explorationexploration.md/spec-driven/templates/exploration.md)
Research cacheresearch.md/spec-driven/templates/research.md)

Knowledge Verification Chain

When researching, designing, or making any technical decision, follow this chain in strict order. Never skip steps.

Step 1: Codebase   -> check existing code, conventions, and patterns already in use
Step 2: Project docs -> README, docs/, inline comments, .agents/codebase/
Step 3: Context7 MCP -> resolve library ID, then query for current API/patterns
Step 4: Web search   -> official docs, reputable sources, community patterns
Step 5: Flag uncertain -> "I'm not certain about X -- here's my reasoning, but verify"

Rules:

  • Never skip to Step 5 if Steps 1-4 are available
  • Step 5 is ALWAYS flagged as uncertain -- never presented as fact
  • NEVER assume or fabricate. If you cannot find an answer, say "I don't know" or "I couldn't find documentation for this". Inventing APIs, patterns, or behaviors causes cascading failures across plan -> tasks -> implementation. Uncertainty is always preferable to fabrication.

Guidelines

DO:

  • Separate content by purpose: spec=WHAT, plan=HOW, tasks=WHEN
  • Follow status flow: draft -> ready -> in-progress -> done
  • Use sequential Feature IDs (001, 002)
  • Reuse research cache across features (.artifacts/research/)
  • Consume .agents/ for project context and codebase info (optional -- use if exists)
  • Update .agents/codebase/ with new discoveries during plan phase (if it exists)
  • Update .artifacts/state.md with decisions and blockers as they arise
  • Auto-size depth based on complexity -- skip phases that add no value
  • Verify continuously during Execute -- after each task or range, not as a separate phase

DON'T:

  • Reuse Feature IDs from previous features
  • Mix spec, plan, and task content in a single file
  • Skip status transitions (e.g., jumping from draft to done)
  • Create feature-specific research files outside.artifacts/research/
  • Generate .agents/ content (that's project-index's responsibility)
  • Force full pipeline on small/medium changes -- respect auto-sizing
  • Assume or fabricate when information is unavailable -- follow Knowledge Verification Chain
  • Defer all verification to the end -- verify per task/range during Execute

Error Handling

  • No.artifacts/: Create it (features/ and research/ are created on demand)
  • Spec not found: List available features
  • Open questions blocking architecture: Resolve before planning (trigger discuss)
  • Plan not found: Suggest plan before tasks (or skip if Medium scope)
  • Tasks not found: Suggest tasks before execute (or skip if Medium scope)
  • Scope misjudged: Safety valve catches it -- redirect to appropriate phase

平台分布

Codex

35.42%
按下载量换算91

Claude

29.9%
按下载量换算77

Cursor

19.69%
按下载量换算51

Gemini CLI

8.69%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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