speckit-tasks

name	speckit-tasks
description	Generate an actionable, dependency-ordered tasks.md for the feature based

Speckit Tasks Skill

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Pre-Execution Checks

Check for extension hooks (before tasks generation):

• Check if .specify/extensions.yml exists in the project root.
• If it exists, read it and look for entries under the hooks.before_tasks key
• If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
• Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
• For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
  • If the hook has no condition field, or it is null/empty, treat the hook as executable
  • If the hook defines a non-empty condition, skip the hook and leave condition evaluation to the HookExecutor implementation
• When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
• For each executable hook, output the following based on its optional flag:
  • Optional hook (optional: true):

    ## Extension Hooks
    
    **Optional Pre-Hook**: {extension}
    Command: `/{command}`
    Description: {description}
    
    Prompt: {prompt}
    To execute: `/{command}`
    

  • Mandatory hook (optional: false):

    ## Extension Hooks
    
    **Automatic Pre-Hook**: {extension}
    Executing: `/{command}`
    EXECUTE_COMMAND: {command}
    
    Wait for the result of the hook command before proceeding to the Outline.
    

• If no hooks are registered or .specify/extensions.yml does not exist, skip silently

Outline

1. Setup: Run .specify/scripts/bash/setup-tasks.sh --json from repo root and parse FEATURE_DIR, TASKS_TEMPLATE, and AVAILABLE_DOCS list. FEATURE_DIR and TASKS_TEMPLATE must be absolute paths when provided. AVAILABLE_DOCS is a list of document names/relative paths available under FEATURE_DIR (for example research.md or contracts/). 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/ (interface contracts), 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 interface contracts 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: Read the tasks template from TASKS_TEMPLATE (from the JSON output above) and use it as structure. If TASKS_TEMPLATE is empty, fall back to .specify/templates/tasks-template.md. 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)

6. Check for extension hooks: After tasks.md is generated, check if .specify/extensions.yml exists in the project root.

   • If it exists, read it and look for entries under the hooks.after_tasks key
   • If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
   • Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
   • For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
     • If the hook has no condition field, or it is null/empty, treat the hook as executable
     • If the hook defines a non-empty condition, skip the hook and leave condition evaluation to the HookExecutor implementation
   • When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
   • For each executable hook, output the following based on its optional flag:
     • Optional hook (optional: true):

       ## Extension Hooks
       
       **Optional Hook**: {extension}
       Command: `/{command}`
       Description: {description}
       
       Prompt: {prompt}
       To execute: `/{command}`
       

     • Mandatory hook (optional: false):

       ## Extension Hooks
       
       **Automatic Hook**: {extension}
       Executing: `/{command}`
       EXECUTE_COMMAND: {command}
       

   • If no hooks are registered or .specify/extensions.yml does not exist, skip silently

Context for task generation: $ARGUMENTS

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
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
     • Interfaces/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 interface contract → to the user story it serves
   • If tests requested: Each interface 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

Timing — keep .spec-context.json honest

These rules apply to every Companion profile command. The extension records lifecycle timing with its own scripts wherever it can; these rules keep anything you append consistent with that and accurate for any dispatcher (terminal, IDE chat, or the GUI). The model is finish-only: each task and each substep records a single finish event, and its duration is the gap to the previous finish (or the step's start). Never a start+complete pair for a task or substep — a pair stamped at one instant is what produces 0s ticks and bursts.

• Never hand-edit .spec-context.json. Record every finish by running the writer script, never by editing the JSON file yourself — a hand-authored edit is what corrupts the file (a duplicated status key). The script stamps the real clock, writes atomically, and is idempotent. The commands below are the only way you touch timing.

• Self-close — but not specify or implement. When your own work for plan, tasks, clarify, or analyze ends, record the step finish (feature dir from .specify/feature.json):

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --step <this step> --finish --by ai
  

  --finish appends a single step-level complete and touches nothing else (it leaves status/currentStep to the lifecycle hooks). Do NOT self-close specify or implement: the extension closes those itself (specify from its own command, implement from the end-of-step hook), so an ai complete there would duplicate it.

• Substeps — one finish each, via the script. For each substep boundary (plan: research, design; tasks: generate), the moment that substep ends, run:

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --step <step> --substep <name> --finish --by ai
  

  One call per substep, each stamped with its own real clock at the moment it finishes — never two substeps in one batch, never a separate start. The delta between consecutive finishes is each substep's duration.

• Implement — finishing a task is logging it (finish-only). Recording a task's finish is the closing action of that task, done the instant its work is complete and before you start the next one — not a bookkeeping pass you batch at the end of a phase. The closing action is a single append (feature dir from .specify/feature.json):

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --task <TaskID> --kind complete --by ai --did "<one-line summary of what this task did>" --files "<comma,separated,files,touched>" --append
  

  --append writes one line to .spec-context.events.jsonl and does not read or rewrite the shared .spec-context.json, so it never hits the "read the file first" retry and parallel workers can each append their own finish at the same time without contending — the line carries its own real timestamp (date -u is stamped by the script). The --did/--files flags ride along so the Activity panel's Tasks card is populated from the script. Do NOT hand-edit the - [ ] checkbox in tasks.md — the script owns it: materialize flips it to - [x] from your appended finish, so a fanned-out subagent only appends and never touches the shared tasks.md. Do NOT hand-author per-task JSON and do NOT write a per-task start.

  Then fold the appended lines into .spec-context.json — run this once per wave (after the wave reconciles) and again when the step ends:

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --materialize
  

  --materialize is the one read-modify-write: it folds the finishes into the panel and checks off the matching tasks.md boxes for every journaled task, idempotently (re-folding never double-counts), so running it per wave keeps the GUI current without re-serializing the work. The end-of-step hook is a backstop that materializes anything you didn't fold and fills any task you didn't journal. What's trustworthy here is the per-task summary (did/files) and the order tasks completed, plus the step-level start→complete span, which the scripts stamp exactly. The per-task timestamps are best-effort — a single agent logs a task right after building it, so they reflect when you recorded it, not a precisely measured duration; that's fine, the summaries are the point. Still, record each finish as you go, wave by wave rather than dumping every task at the very end — a per-wave cadence keeps the panel live and the ordering true.

• Never write the next step's start. Only the next command appends the next step's start entry; writing it here makes the viewer render a phantom "Generating …".