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speckit-tasks特定任务

Agent Skill

speckit-tasks 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

3,951

周安装

168

GitHub Stars

75

下载量

1,384
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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:speckit-tasks(特定任务)
来源仓库:https://github.com/dceoy/speckit-agent-skills
仓库路径:skills/speckit-tasks
安装命令:
npx skills add https://github.com/dceoy/speckit-agent-skills --skill speckit-tasks
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-tasks

简介

speckit-tasks 用于查找、检索和筛选相关信息。

  • 适合在研究或开发中根据关键词快速定位任务或解决方案。
  • 通过 npx skills add 命令从 GitHub 仓库安装后调用。
  • 建议在使用前确认权限及是否允许联网查询外部资源。
  • 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。

SKILL.md

Spec Kit Tasks Skill

When to Use

  • The implementation plan is ready and you need a dependency-ordered task list.

Inputs

  • specs/<feature>/plan.md and specs/<feature>/spec.md
  • Optional artifacts: data-model.md, contracts/, research.md, quickstart.md
  • Any user constraints or priorities from the request

If the plan is missing, ask the user to run speckit-plan first.

Workflow

  1. Setup: Run .specify/scripts/bash/check-prerequisites.sh --json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. 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").
  2. Load design documents: Read from FEATURE_DIR:

- Required: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities) - Optional: data-model.md (entities), contracts/ (API endpoints), research.md (decisions), quickstart.md (test scenarios) - Note: Not all projects have all documents. Generate tasks based on what's available.

  1. Execute task generation workflow:

- Load plan.md and extract tech stack, libraries, project structure - Load spec.md and extract user stories with their priorities (P1, P2, P3, etc.) - If data-model.md exists: Extract entities and map to user stories - If contracts/ exists: Map endpoints to user stories - If research.md exists: Extract decisions for setup tasks - Generate tasks organized by user story (see Task Generation Rules below) - Generate dependency graph showing user story completion order - Create parallel execution examples per user story - Validate task completeness (each user story has all needed tasks, independently testable)

  1. Generate tasks.md: Use .specify/templates/tasks-template.md as structure, fill with:

- Correct feature name from plan.md - Phase 1: Setup tasks (project initialization) - Phase 2: Foundational tasks (blocking prerequisites for all user stories) - Phase 3+: One phase per user story (in priority order from spec.md) - Each phase includes: story goal, independent test criteria, tests (if requested), implementation tasks - Final Phase: Polish & cross-cutting concerns - All tasks must follow the strict checklist format (see Task Generation Rules below) - Clear file paths for each task - Dependencies section showing story completion order - Parallel execution examples per story - Implementation strategy section (MVP first, incremental delivery)

  1. Report: Output path to generated tasks.md and summary:

- Total task count - Task count per user story - Parallel opportunities identified - Independent test criteria for each story - Suggested MVP scope (typically just User Story 1) - Format validation: Confirm ALL tasks follow the checklist format (checkbox, ID, labels, file paths)

Context for task generation: the user's request and any stated priorities

The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.

Task Generation Rules

CRITICAL: Tasks MUST be organized by user story to enable independent implementation and testing.

Tests are OPTIONAL: Only generate test tasks if explicitly requested in the feature specification or if user requests TDD approach.

Checklist Format (REQUIRED)

Every task MUST strictly follow this format:

- [ ] [TaskID] [P?] [Story?] Description with file path

Format Components:

  1. Checkbox: ALWAYS start with - [] (markdown checkbox)
  2. Task ID: Sequential number (T001, T002, T003...) in execution order
  3. [P] marker: Include ONLY if task is parallelizable (different files, no dependencies on incomplete tasks)
  4. [Story] label: REQUIRED for user story phase tasks only

- Format: [US1], [US2], [US3], etc. (maps to user stories from spec.md) - Setup phase: NO story label - Foundational phase: NO story label - User Story phases: MUST have story label - Polish phase: NO story label

  1. Description: Clear action with exact file path

Examples:

  • ✅ CORRECT: - [] T001 Create project structure per implementation plan
  • ✅ CORRECT: - [] T005 [P] Implement authentication middleware in src/middleware/auth.py
  • ✅ CORRECT: - [] T012 [P] [US1] Create User model in src/models/user.py
  • ✅ CORRECT: - [] T014 [US1] Implement UserService in src/services/user_service.py
  • ❌ WRONG: - [] Create User model (missing ID and Story label)
  • ❌ WRONG: T001 [US1] Create model (missing checkbox)
  • ❌ WRONG: - [] [US1] Create User model (missing Task ID)
  • ❌ WRONG: - [] T001 [US1] Create model (missing file path)

Task Organization

  1. From User Stories (spec.md) - PRIMARY ORGANIZATION:

- Each user story (P1, P2, P3...) gets its own phase - Map all related components to their story: - Models needed for that story - Services needed for that story - Endpoints/UI needed for that story - If tests requested: Tests specific to that story - Mark story dependencies (most stories should be independent)

  1. From Contracts:

- Map each contract/endpoint → to the user story it serves - If tests requested: Each contract → contract test task [P] before implementation in that story's phase

  1. From Data Model:

- Map each entity to the user story(ies) that need it - If entity serves multiple stories: Put in earliest story or Setup phase - Relationships → service layer tasks in appropriate story phase

  1. From Setup/Infrastructure:

- Shared infrastructure → Setup phase (Phase 1) - Foundational/blocking tasks → Foundational phase (Phase 2) - Story-specific setup → within that story's phase

Phase Structure

  • Phase 1: Setup (project initialization)
  • Phase 2: Foundational (blocking prerequisites - MUST complete before user stories)
  • Phase 3+: User Stories in priority order (P1, P2, P3...)

- Within each story: Tests (if requested) → Models → Services → Endpoints → Integration - Each phase should be a complete, independently testable increment

  • Final Phase: Polish & Cross-Cutting Concerns

Outputs

  • specs/<feature>/tasks.md

Next Steps

After tasks are generated:

  • Analyze cross-artifact consistency with speckit-analyze.
  • Implement the plan with speckit-implement.

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

36.71%
按下载量换算508

Claude

26.3%
按下载量换算364

Cursor

18.63%
按下载量换算258

Gemini CLI

9.07%
按下载量换算126

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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