Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Generates phased, dependency-ordered implementation tasks from specifications. Use after spec is complete and before starting implementation.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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 other还没有评价。欢迎分享你的使用感受。
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
中文简介正在准备中。当前显示原文说明。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
中文简介正在准备中。当前显示原文说明。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
中文简介正在准备中。当前显示原文说明。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
中文简介正在准备中。当前显示原文说明。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
中文简介正在准备中。当前显示原文说明。