kiro-task-generation
Skill11 starsChanged 49 days agoApache-2.0View on GitHub
Generates Kiro IDE tasks.md from requirements.md and design.md. Produces a numbered checkbox task list with requirement references for spec-driven development. Use after design.md is approved and before implementation begins.
In this repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- about-konductorSkill
- adr-generatorSkill
- adversarial-code-review-pass-integritySkill
- adversarial-code-review-pass-schemaSkill
- adversarial-code-review-pass-securitySkill
- adversarial-code-reviewSkill
- adversarial-design-reviewSkill
- agents-md-authoringSkill
- app-discoverySkill
- architecture-advisorSkill
- architecture-diagram-generationSkill
- argumentation-referenceSkill
- asana-sprint-planningSkill
- asdlc-aspect-reviewSkill
- asdlc-code-simplifierSkill
- aws-service-validatorSkill
- backend-developmentSkill
- backend-reviewSkill
- claude-teams-behaviorSkill
- cmux-dispatchSkill
- code-reviewSkill
- constraintsSkill
- cost-estimationSkill
- cypress-test-implementationSkill
- decision-researchSkill
- decision-writingSkill
- delegation-protocolSkill
- deliberation-panelSkill
- design-doc-guidelinesSkill
- design-evaluationSkill
- design-impact-reviewSkill
- design-quality-checkSkill
- doc-accuracy-analyzerSkill
- document-formatsSkill
- dom-inspectionSkill
- dynamodb-designSkill
- dynamodb-validationSkill
- e2e-test-strategySkill
- external-researchSkill
- find-aws-skillsSkill
- frontend-developmentSkill
- frontend-reviewSkill
- git-mergeSkill
- git-workflowSkill
- historical-issues-registrySkill
- humanize-writingSkill
- iam-policy-designSkill
- infra-validationSkill
- kiro-design-generationSkill
- kiro-requirements-generationSkill
- legacy-to-agentic-estimateSkill
- mux-dispatchSkill
- non-functional-requirementsSkill
- persistent-memorySkill
- plan-reviewSkill
- playwright-test-implementationSkill
- policy-validationSkill
- pre-planning-analysisSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Use this skill when:
- Distinctive: line 26
Do NOT use when:
- Very specific: line 73
Read requirements.md from {spec_dir}
- Very specific: line 74
Read design.md from {spec_dir}
- Very specific: line 77
Write tasks.md to {spec_dir}/tasks.md
- Distinctive: line 92
No clear ordering — foundation tasks should come before core tasks
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Kiro Task Generation
Overview
Produces {spec_dir}/tasks.md — a structured implementation task list for Kiro IDE's spec-driven development workflow. Each task is a coding task designed for a code-generation LLM to execute one at a time, with explicit references back to requirements.md.
spec_dir (optional): path where spec artifacts are written. Defaults to .kiro/specs/{feature-name}/ if not provided — the same location Kiro IDE itself writes specs to, so this skill behaves identically whether invoked standalone in any Kiro project or as part of a larger workflow. A caller that keeps its artifacts elsewhere passes its own spec_dir, and this skill MUST read and write there instead.
This skill is the final step in the Kiro spec workflow, after kiro-requirements-generation produces requirements.md and kiro-design-generation produces design.md.
Usage
Use this skill when:
- requirements.md and design.md are approved for a feature
- Generating the implementation plan for Kiro IDE spec-driven development
- Creating tasks.md alongside them in
{spec_dir}
Do NOT use when:
- Splitting features for independent engineering → use
task-decomposition - Requirements are not yet written → use
kiro-requirements-generation - Design is not yet written → use
kiro-design-generation
Output Format
# Implementation Plan
- [ ] 1. Set up project structure and core interfaces
- Create directory structure for models, services, and API components
- Define interfaces that establish system boundaries
- _Requirements: 1.1_
- [ ] 2. Implement core data models
- [ ] 2.1 Create data model interfaces and types
- Write TypeScript interfaces for all data models
- Implement validation functions
- _Requirements: 2.1, 3.3_
- [ ] 2.2 Implement User model with validation
- Write User class with validation methods
- Create unit tests for validation
- _Requirements: 1.2_Format Rules
- Numbered checkbox list:
- [ ] N.for top-level,- [ ] N.Mfor sub-tasks - Sub-tasks indented 2 spaces under their parent
- Max 2 levels of hierarchy (top-level + one sub-level)
- Each task includes: clear objective, sub-bullets with details, requirement references in italics
- Requirement references:
_Requirements: X.Y_linking back to requirements.md - Tasks are ONLY coding tasks — no deployment, documentation, or user testing
- Each task builds incrementally on previous tasks
- Tasks are designed for a code-generation LLM to execute one at a time
Task Ordering
- Foundation — project structure, interfaces, shared utilities
- Core — main feature implementation (data models, services, API)
- Polish — error handling, edge cases, validation
Execution Steps
- Resolve
spec_dir— the caller's value if given, otherwise the default.kiro/specs/{feature-name}/ - Read requirements.md from
{spec_dir} - Read design.md from
{spec_dir} - Map each requirement to implementation tasks
- Order tasks by dependency (foundation → core → polish)
- Write tasks.md to
{spec_dir}/tasks.md - Present to user for approval. If user requests changes, revise and re-present (max 2 cycles).
Quality Gate
CRITICAL (must fix):
- Tasks have circular dependencies
- Missing requirement references (every task must link to at least one requirement)
- Tasks include non-coding work (deployment, documentation, user testing)
- tasks.md written anywhere other than
{spec_dir}
IMPORTANT (should fix):
- Tasks too large (should be completable by an LLM in one pass)
- No clear ordering — foundation tasks should come before core tasks
- Sub-tasks at same indentation as parent (must be indented 2 spaces)
SUGGESTION:
- Could identify tasks that can run in parallel
- Could add effort estimates per task
- Could group tasks into phases with headers
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

