speckit-tasks

Generate a dependency-ordered tasks.md organized by user story, with phased execution (Setup, Foundational, User Stories, Polish), parallel markers, and strict checklist format (checkbox, TaskID, Story label, file path). Use when the implementation plan is ready and the user needs an executable task breakdown before coding.

261 stars

Best use case

speckit-tasks is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Generate a dependency-ordered tasks.md organized by user story, with phased execution (Setup, Foundational, User Stories, Polish), parallel markers, and strict checklist format (checkbox, TaskID, Story label, file path). Use when the implementation plan is ready and the user needs an executable task breakdown before coding.

Generate a dependency-ordered tasks.md organized by user story, with phased execution (Setup, Foundational, User Stories, Polish), parallel markers, and strict checklist format (checkbox, TaskID, Story label, file path). Use when the implementation plan is ready and the user needs an executable task breakdown before coding.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "speckit-tasks" skill to help with this workflow task. Context: Generate a dependency-ordered tasks.md organized by user story, with phased execution (Setup, Foundational, User Stories, Polish), parallel markers, and strict checklist format (checkbox, TaskID, Story label, file path). Use when the implementation plan is ready and the user needs an executable task breakdown before coding.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/speckit-tasks/SKILL.md --create-dirs "https://raw.githubusercontent.com/partme-ai/full-stack-skills/main/skills/speckit-skills/speckit-tasks/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/speckit-tasks/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How speckit-tasks Compares

Feature / Agentspeckit-tasksStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate a dependency-ordered tasks.md organized by user story, with phased execution (Setup, Foundational, User Stories, Polish), parallel markers, and strict checklist format (checkbox, TaskID, Story label, file path). Use when the implementation plan is ready and the user needs an executable task breakdown before coding.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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.

3. **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)

4. **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)

5. **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:

```text
- [ ] [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
5. **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)

2. **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

3. **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

4. **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.

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