Break down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.
npx skills add https://github.com/foryourhealth111-pixel/Vibe-Skills --skill speckit-tasks
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
.specify/scripts/powershell/check-prerequisites.ps1 -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")..specify/templates/tasks-template.md as structure, fill with: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.
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.
Every task MUST strictly follow this format:
- [ ] [TaskID] [P?] [Story?] Description with file path
Format Components:
- [ ] (markdown checkbox)Examples:
- [ ] T001 Create project structure per implementation plan- [ ] T005 [P] Implement authentication middleware in src/middleware/auth.py- [ ] T012 [P] [US1] Create User model in src/models/user.py- [ ] T014 [US1] Implement UserService in src/services/user_service.py- [ ] Create User model (missing ID and Story label)T001 [US1] Create model (missing checkbox)- [ ] [US1] Create User model (missing Task ID)- [ ] T001 [US1] Create model (missing file path)Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take foryourhealth111-pixel/speckit-tasks from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.