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Kiro spec tasks

Skill gotalab/cc-sdd/tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-spec-tasks

Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity.

Install
npx -y skills add gotalab/cc-sdd --skill kiro-spec-tasks

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What its author says it does

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Generate implementation tasks for a specification

SKILL.md

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Implementation Tasks Generator

<background_information>

  • Success Criteria:
    • All requirements mapped to specific tasks
    • Tasks properly sized (1-3 hours each)
    • Clear task progression with proper hierarchy
    • Natural language descriptions focused on capabilities
    • A lightweight task-plan sanity review confirms the task graph is executable before tasks.md is written </background_information>
<instructions> ## Execution Steps

Step 1: Load Context

Read all necessary context:

  • {{KIRO_DIR}}/specs/$1/spec.json, requirements.md, design.md
  • {{KIRO_DIR}}/specs/$1/tasks.md (if exists, for merge mode)
  • Core steering context: product.md, tech.md, structure.md
  • Additional steering files only when directly relevant to requirements coverage, design boundaries, runtime prerequisites, or team conventions that affect task executability

Validate approvals:

  • If -y flag provided: Auto-approve requirements and design in spec.json. Tasks approval is also handled automatically in Step 4.
  • Otherwise: Verify both approved (stop if not, see Safety & Fallback)
  • Determine sequential mode based on presence of --sequential

Step 2: Generate Implementation Tasks

Load generation rules and template:

  • Read rules/tasks-generation.md from this skill's directory for principles
  • If sequential is false: Read rules/tasks-parallel-analysis.md from this skill's directory for parallel judgement criteria
  • Read {{KIRO_DIR}}/settings/templates/specs/tasks.md for format (supports (P) markers)

Parallel Research

The following research areas are independent and can be executed in parallel:

  1. Context loading: Spec documents (requirements.md, design.md), steering files
  2. Rules loading: tasks-generation.md, tasks-parallel-analysis.md, tasks template

If multi-agent is enabled, spawn sub-agents for each area above. Otherwise execute sequentially.

After all parallel research completes, synthesize findings before generating tasks.

Generate task list following all rules:

  • Use language specified in spec.json
  • Map all requirements to tasks
  • When documenting requirement coverage, list numeric requirement IDs only (comma-separated) without descriptive suffixes, parentheses, translations, or free-form labels
  • Ensure all design components included
  • Verify task progression is logical and incremental
  • Ensure each executable sub-task includes at least one detail bullet that states what "done" looks like in observable terms
  • Keep normal implementation tasks within a single responsibility boundary; if work crosses boundaries, make it an explicit integration task
  • Collapse single-subtask structures by promoting them to major tasks and avoid duplicating details on container-only major tasks (use template patterns accordingly)
  • Apply (P) markers to tasks that satisfy parallel criteria (omit markers when sequential mode requested)
  • Mark optional test coverage subtasks with - [ ]* only when they strictly cover acceptance criteria already satisfied by core implementation and can be deferred post-MVP
  • If existing tasks.md found, merge with new content

Step 3: Review Task Plan

  • Keep the draft task plan in working memory; do NOT write tasks.md yet
  • Run the Task Plan Review Gate from rules/tasks-generation.md
  • Review coverage:
    • Every requirement ID appears in at least one task
    • Every design component, contract, integration point, runtime prerequisite, and validation concern is represented
  • Review executability:
    • Each sub-task is an executable 1-3 hour work unit
    • Each sub-task has a verifiable deliverable
    • Each executable sub-task includes an observable completion bullet
    • No implicit prerequisites remain hidden
    • _Depends:_, _Boundary:_, and (P) markers still match the dependency graph and architecture boundaries
  • If issues are task-plan-local, repair the draft and re-run the review gate before writing
  • Keep the review bounded to at most 2 repair passes
  • If review exposes a real requirements/design gap or contradiction, stop and send the user back to requirements/design instead of inventing filler tasks

Step 3.5: Run Task-Graph Sanity Review

Before writing tasks.md, run one lightweight independent sanity review of the task graph.

  • If fresh subagent dispatch is available, spawn one fresh review subagent for this step. Otherwise perform the same review in the current context.
  • Provide only file paths, the draft task plan, and merge context if an existing tasks.md is being updated. The reviewer should read requirements.md, design.md, and the task-generation rules directly instead of relying on a parent-synthesized coverage summary.
  • Check only:
    • hidden prerequisites or missing setup tasks
    • dependency or ordering mistakes
    • boundary overlap or ambiguous ownership between tasks
    • tasks that are too large, too vague, cross boundaries without being explicit integration tasks, or are missing a verifiable deliverable
    • contradictions introduced between requirements, design, and the task graph
  • Return one verdict:
    • PASS
    • NEEDS_FIXES
    • RETURN_TO_DESIGN
  • If NEEDS_FIXES, repair the draft once and re-run the sanity review one time.
  • If RETURN_TO_DESIGN, stop without writing tasks.md and point back to the exact gap in requirements/design.
  • Keep this bounded. Do not turn it into a second full planning cycle.

Step 4: Finalize

Write tasks.md:

  • Create/update {{KIRO_DIR}}/specs/$1/tasks.md
  • Update spec.json metadata:
    • Set phase: "tasks-generated"
    • Set approvals.tasks.generated: true, approved: false
    • Set approvals.requirements.approved: true
    • Set approvals.design.approved: true
    • Update updated_at timestamp

Approval:

  • If auto-approve flag (-y) is provided:
    • Set approvals.tasks.approved: true in spec.json
    • Display task summary (task count, major groups, parallel markers)
    • Respond: "Tasks generated and auto-approved. Start implementation with /kiro-impl $1"
  • Otherwise (interactive):
    • Display a summary of the generated tasks (task count, major groups, parallel markers)
    • Ask the user: "Tasks generated. Approve and proceed to implementation?"
    • If the user approves:
      • Set approvals.tasks.approved: true in spec.json
      • Respond: "Tasks approved. Start implementation with /kiro-impl $1"
    • If the user wants changes:
      • Keep approvals.tasks.approved: false
      • Respond with guidance on what to adjust and re-run

Critical Constraints

  • Task Integration: Every task must connect to the system (no orphaned work)
  • Boundary annotations: Required for (P) tasks, recommended for all (_Boundary: ComponentName_)
  • Explicit dependencies: Cross-boundary non-obvious dependencies declared with _Depends: X.X_
  • Executable deliverable granularity: Each task must produce a verifiable deliverable (file, endpoint, UI component, config). Infrastructure tasks (project scaffolding, manifest, host integration, build config) must be explicit — never assume they exist
  • Observable done state: Each executable sub-task must include at least one detail bullet that makes the completed state visible without adding new bookkeeping fields
  • No implicit prerequisites: If a task requires a runtime, SDK, framework setup, or config file, that setup must be a separate preceding task </instructions>

Output Description

Provide brief summary in the language specified in spec.json:

  1. Status: Confirm tasks generated at {{KIRO_DIR}}/specs/$1/tasks.md
  2. Task Summary:
    • Total: X major tasks, Y sub-tasks
    • All Z requirements covered
    • Average task size: 1-3 hours per sub-task
  3. Quality Validation:
    • ✅ All requirements mapped to tasks
    • ✅ Design coverage and runtime prerequisites reviewed
    • ✅ Task dependencies verified
    • ✅ Task plan review gate passed
    • ✅ Independent task-graph sanity review passed
    • ✅ Testing tasks included
  4. Next Action: Review tasks and proceed when ready

Format: Concise (under 200 words)

Safety & Fallback

Error Scenarios

Requirements or Design Not Approved:

  • Stop Execution: Cannot proceed without approved requirements and design
  • User Message: "Requirements and design must be approved before task generation"
  • Suggested Action: "Run /kiro-spec-tasks $1 -y to auto-approve both and proceed"

Missing Requirements or Design:

  • Stop Execution: Both documents must exist
  • User Message: "Missing requirements.md or design.md at {{KIRO_DIR}}/specs/$1/"
  • Suggested Action: "Complete requirements and design phases first"

Incomplete Requirements Coverage:

  • Warning: "Not all requirements mapped to tasks. Review coverage."
  • User Action Required: Confirm intentional gaps or regenerate tasks

Spec Gap Found During Task Review:

  • Stop Execution: Do not write a patched-over tasks.md
  • User Message: "Requirements/design do not provide enough clear coverage to generate an executable task plan"
  • Suggested Action: "Refine requirements.md or design.md, then re-run /kiro-spec-tasks $1"

Template/Rules Missing:

  • User Message: "Template or rules files missing in {{KIRO_DIR}}/settings/"
  • Fallback: Use inline basic structure with warning
  • Suggested Action: "Check repository setup or restore template files"
  • Missing Numeric Requirement IDs:
    • Stop Execution: All requirements in requirements.md MUST have numeric IDs. If any requirement lacks a numeric ID, stop and request that requirements.md be fixed before generating tasks.

Next Phase: Implementation

Tasks are approved in Step 4 via user confirmation. Once approved:

  • Autonomous implementation: /kiro-impl $1
  • Specific tasks only: /kiro-impl $1 1.1,1.2

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