Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Generates phased, dependency-ordered implementation tasks from specifications. Use after spec is complete and before starting implementation.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Transforms specifications and implementation plans into concrete, dependency-ordered tasks. Creates phased breakdowns that guide systematic implementation.
Tasks follow a 5-phase structure from setup through polish:
For detailed phase definitions, selection guidelines, and anti-patterns, see modules/phase-structure.md.
Each task includes:
Dependencies define execution order and identify parallelization opportunities:
Nonconflicting Criteria for Parallel Execution:
Mark tasks with [P] ONLY if they pass ALL criteria above.
For fan-out/fan-in patterns, task ID conventions, and validation rules, see modules/dependency-patterns.md.
## Phase 2: Core Implementation
### TASK-007 - Implement user authentication service [P]
**Dependencies**: TASK-003, TASK-004
**Files**: src/services/auth.ts, src/types/user.ts
**Criteria**: All auth tests pass, tokens are valid JWT
Verification: Run pytest -v to verify tests pass.
spec-writing: Creating source specificationsspeckit-orchestrator: Workflow coordinationTASK-NNN format and includes
Description, Phase (0-4), Dependencies list, Parallel marker
([P] or sequential), Files, and Criteria fields[P] pass all 5 nonconflicting criteria: no file
overlap, no shared state, dependencies satisfied, no merge
conflicts possible, no output dependency on each otherNo reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
The English summary is being prepared. Showing the original description.
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
The English summary is being prepared. Showing the original description.
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
The English summary is being prepared. Showing the original description.
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
The English summary is being prepared. Showing the original description.
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.