Claude Task Master Guide: Turn PRDs into Executable AI Tasks

The task-decomposition stage of spec-driven coding has one specialized open-source champion: Task Master by Eyal Toledano, at ~27k GitHub stars by mid-2026. Its job is narrow and brutally practical: take a product requirements document (PRD) and produce a structured, testable task list that an agent can execute item by item — then track it as the agent works.

Where GitHub Spec Kit generates tasks as one artifact in a five-stage pipeline, Task Master treats task breakdown as a first-class, reusable pipeline of its own. It's also the stage that matters most for multi-agent work: a good tasks.json is what makes parallel agents safe to run.

What Task Master does

At its core, Task Master parses a PRD (or any requirements document you paste in) and generates:

• tasks.json — a structured task list with one item per subtask, each carrying a title, description, acceptance criteria, and complexity score.
• A complexity analysis — tasks are scored so the workflow can split or merge items that are too big or too small.
• Dependency-aware ordering — tasks carry dependsOn links, so execution can parallelize safely.
• Research tasks — in the generated plan, tasks that need investigation before implementation are separated out.
• Test definitions — each task optionally carries its expected tests, tying acceptance criteria to actual testable behavior.

The output is designed to be agent-readable: a machine-checkable contract rather than prose. That's the whole point — an agent can't reliably "do the right thing" from a paragraph, but it can execute tasks.json entries with acceptance criteria one at a time.

The workflow

1. Install the plugin into Claude Code (/install via the marketplace or plugin file) — it also works with other agents via its CLI and prompt templates.
2. Write or paste the PRD — the more specific the requirements, the better the output.
3. Generate the task list — Task Master produces tasks.json plus a tasks.md overview for humans.
4. Review and adjust — split oversized tasks, merge trivial ones, adjust priorities. This is the human review gate that makes the difference between a task list and a good task list.
5. Execute — the agent works through tasks in order, marking each done as it goes. Task Master tracks progress and can generate status reports.
6. Validate — tasks with test definitions can be verified as they complete, closing the loop on acceptance criteria.

Why task decomposition is the linchpin of spec-driven coding

Every framework in the spec-driven ecosystem converges on the same insight: the quality of the task list determines the quality of the implementation. A spec can be perfect, but if the agent gets "implement the feature" as one undifferentiated chore, it will do the same thing it always did — guess.

Consider what happens with a proper task list:

• Acceptance criteria per task turn "works" into something checkable.
• Dependencies (dependsOn) make parallel execution safe — agents only start tasks whose prerequisites are done, which is the difference between parallel agent workflows working and colliding.
• Complexity scoring catches the classic failure: a task so big the agent loses track of the requirement.

Task Master's contribution is to make this stage repeatable and cheap — it's the "PRD → tasks" converter that other tools reference as the model (SpecForge and other fusion projects explicitly list claude-task-master as a methodology source).

Task Master vs. the full frameworks

| | Task Master | GitHub Spec Kit | BMad Method | |---|---|---|---| | Scope | PRD → task list + tracking | Full artifact pipeline | Full lifecycle virtual team | | Task format | Structured tasks.json with acceptance criteria, deps, complexity | tasks.md with acceptance criteria and [P] parallel markers | Story files per epic, generated by Scrum Master agent | | Spec coverage | Input is your PRD; no spec engine | Constitution → spec → plan → tasks | PRD + UX spec + architecture | | Best for | Reusing your own PRD process, solo devs, existing pipelines | Standardizing the whole workflow | Full traceability with review gates |

If you already have a requirements process you like, Task Master slots in as the breakdown engine without asking you to adopt a new spec philosophy. If you don't have one, start with the complete spec-driven coding guide and consider OpenSpec for planning or Spec Kit for the full stack.

Getting started

1. Install Task Master into Claude Code via the plugin marketplace (or run the CLI standalone).
2. Paste a PRD — even a rough one. Start with a small feature.
3. Read the generated tasks.json. Notice the acceptance criteria on each item. Fix the ones you disagree with.
4. Let the agent execute. Watch the difference between agent-driven work from a task list vs. agent-driven work from a prompt.

The full cluster context — why specs, plans, and tasks beat prompts — is in our spec-driven vs vibe coding comparison.