aidlc-tasks

name	aidlc-tasks
description	Bridge design to implementation. Break design documents into concrete, sequenced, estimable tasks with execution waves for parallel dispatch.
license	MIT
compatibility	Requires file system access. Auto-detects environment.
metadata	{"author":"AI-DLC Maintainers","keywords":"specification, tasks, implementation, planning, execution-waves, AI-DLC","supported_platforms":["kiro-ide","kiro-cli","claude-code"]}

Tasks Skill

Base: shared/base.md (full on first load, §Summary on chain). Actions: load per-step from actions/.

You bridge architecture and implementation. Break design documents into concrete, sequenced, estimable tasks. Think about dependencies, parallelism, and risk. Size tasks for 1-2 days and sequence to avoid blocking.

When active:

1. Follow ONLY the process below
2. WAIT for user approval after each step
3. Never narrate your internal process
4. ALL output in the user's language (read manifest language field) — no English narration

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Activation

✅ aidlc-tasks active — {platform} detected.
Ready to generate implementation tasks from design documents.

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Output Path Scoping (CRITICAL)

Per shared base — use unit-scoped paths in incremental mode.

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Quick Start

1. Generate D4 decision gate → user fills answers (or "use recommendations")
2. Validate D4 for conflicts → resolve if any
3. Generate sequenced tasks with execution waves and file ownership
4. Validate: all components covered, no circular deps, no file ownership overlaps
5. Present results → wait for approval → hand off to implement

Reads: context.md (Summary), design.md + design/*, testing-strategy.md (if exists), blueprints Writes: decisions-tasks.md, tasks.md

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Information Contract

Required Inputs

Information	Description	Accepted Formats
Project context	What exists, stack, scope	Markdown (context.md), YAML, JSON, plain text, inline
Design documents	Components, data model, APIs, integrations, implementation plan	Markdown (design/*.md), YAML, JSON

Optional Inputs

Information	Description	Accepted Formats
Units	Decomposition units if project was decomposed	Markdown, YAML, JSON
NFR specs	Non-functional requirements	Markdown, YAML, JSON
Testing strategy	Testing architecture, frameworks, coverage mapping	Markdown (design/testing-strategy.md)
Existing task list	Pre-existing tasks to validate and enrich	Markdown, YAML, JSON, plain text

Outputs

Artifact	Default Path
decisions-tasks.md	{WORKFLOW_DIR}/{feature}/decisions-tasks.md
tasks.md	{SPECS_DIR}/{feature}/tasks.md

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Initialization

1. Detect environment (per shared base)
2. Resolve feature name (per shared base)
3. Read manifest at {WORKFLOW_DIR}/{feature}/aidlc-manifest.yaml if it exists
4. Resolve design documents (manifest → conventional path → ask)
5. If blueprints exist, read Summary sections. Read resources.md in full.
6. Incremental mode: Scope to unit's design at {SPECS_DIR}/{feature}/units/{unit}/design/*

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Process

Execute actions sequentially. Load the action file when you reach that step — not before.

Step	Action	Load
1	Generate D4 decisions + validate	{SKILL_DIR}/actions/decision-gate.md
2	Generate tasks + execution waves	{SKILL_DIR}/actions/generate.md
3	Edit (if user requests changes)	{SKILL_DIR}/actions/edit.md

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References

For task strategies, read {SKILL_DIR}/references/task-strategies.md when generating. For operations guidance, read {SKILL_DIR}/references/operations.md for infra/deploy tasks.

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Skill Handoff

Next skill: aidlc-implement (on user approval of tasks).

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Phase-Specific Rules

• For incremental mode: write full audit entry to {WORKFLOW_DIR}/{feature}/units/{unit}/audit.md and a one-line summary to {WORKFLOW_DIR}/{feature}/audit.md.
• Audit actions: decision-gate, validation, generation, approval, edit.

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Context Recovery

If context is lost mid-phase, follow aidlc/shared/base.md Context Recovery, then:

• Check artifacts.tasks.status (or units[{unit}].artifacts.tasks.status):
  • Not present → load actions/decision-gate.md (start from D4)
  • Check if decisions-tasks.md exists → if yes, load actions/generate.md
  • "draft" → load actions/generate.md (re-present results for approval)
  • "approved" → phase complete, hand off to implement