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spec-driven规格驱动

Agent Skill

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。

总安装

737

周安装

31

GitHub Stars

2

下载量

258
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-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

简介

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。

SKILL.md

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

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

35.42%
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

external-service

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 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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