📐
AI EngineeringTypeScript

Kiro Spec Design

by gotalab

Kiro Spec Design is an AI Engineering skill for Claude Code, published by gotalab in cc-sdd.

3.6K stars275 forkson gotalab/cc-sddAdded 2026/08/16Repository updated 2026/05/20
View source on GitHubDownload repo ZIP
agent-skillsclaude-codecodexcursorgemini-cligithub-copilotkiroopencodesddspec-driven-developmentsteeringsubagents
Install in seconds
Install Kiro Spec Design
Copy Kiro Spec Design into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/gotalab/cc-sdd/tree/main/tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-spec-design ~/.claude/skills/kiro-spec-design

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gotalab/cc-sdd.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-spec-design/SKILL.md in gotalab/cc-sdd
Installs to
~/.claude/skills/kiro-spec-design
Collection
One of 24 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What Kiro Spec Design does

Kiro Spec Design creates comprehensive technical designs for specifications, mapping requirements to components, interfaces, and file structures after discovery research and synthesis. Use it to produce design documents that guide implementation tasks in spec-driven development.

Kiro Spec Design is cataloged under AI Engineering on DirSkills. Kiro Spec Design comes from a repository tagged agent-skills, claude-code, codex, cursor and gemini-cli.

Documentation

README

Technical Design Generator

<background_information>

  • Success Criteria:
    • All requirements mapped to technical components with clear interfaces
    • The design makes responsibility boundaries explicit enough to guide task generation and review
    • Appropriate architecture discovery and research completed
    • Design aligns with steering context and existing patterns
    • Visual diagrams included for complex architectures </background_information>

Step 1: Load Context

This is the opening of the README. Read the full README on GitHub.

Commands Kiro Spec Design provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /kiro-validate-gap
  • /kiro-spec-design
  • /kiro-spec-requirements
  • /kiro-validate-design
  • /kiro-spec-tasks

Frequently asked about Kiro Spec Design

  • What else does gotalab publish alongside Kiro Spec Design?

    Kiro Spec Design is one of 24 skills that DirSkills catalogs from gotalab/cc-sdd, the repository it ships in. Its siblings there include CC-SDD New Agent Integration, Implementation Gap Validation and Implementation Integration Validation. Each one is a separate skill with its own page in this directory, installs the same way Kiro Spec Design does, and is maintained by gotalab in that same repository. The rest of the collection is listed on the gotalab/cc-sdd page.

  • How does Kiro Spec Design compare to other AI Engineering skills?

    Kiro Spec Design ranks #578 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Kiro Spec Design against them. Open each page to compare what they document and how they install.

More from gotalab/cc-sdd

Kiro Spec Design is one of 24 skills cataloged on DirSkills from gotalab/cc-sdd.

See all 24 skills →
🤖
2w ago

CC-SDD New Agent Integration

CC-SDD New Agent Integration adds or extends coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end. Use it when introducing a new agent, adding a subagent-capable variant, or migrating an existing supported agent to skills-based templates.
AI Engineering
3.6K275
🔍
2w ago

Implementation Gap Validation

Implementation Gap Validation analyzes gaps between approved requirements and an existing codebase to inform implementation strategy. Use it before design to identify missing capabilities, integration challenges, and viable implementation approaches.
Quality
3.6K275
🧪
2w ago

Implementation Integration Validation

Implementation Integration Validation checks completed feature tasks as a whole to catch cross-task integration issues, run the full test suite, verify spec coverage, and confirm design boundaries before a GO/NO-GO call. Use it after all tasks in a feature are implemented to decide whether the implementation is ready.
Quality
3.6K275
📝
2w ago

Kiro Custom Steering Creation

Kiro Custom Steering Creation creates custom steering documents for specialized project contexts beyond core product, tech, and structure files. Use it to capture domain-specific patterns like API standards, testing strategies, or security conventions.
Writing
3.6K275
🔍
2w ago

Kiro Debug

Kiro Debug investigates implementation failures using root-cause-first debugging, gathering evidence from errors, runtime config, and external docs to identify root cause and recommend the smallest safe next action. Use it when an implementer is blocked or verification fails.
Quality
3.6K275
🔍
2w ago

Kiro Debug

Kiro Debug investigates implementation failures using root-cause-first debugging, gathering local evidence, runtime/config inspection, and external docs before proposing a fix. Use when an implementer is blocked, verification fails, or repeated remediation does not converge.
Quality
3.6K275

More AI Engineering skills

Kiro Spec Design is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #578 by stars among them.

Browse all AI Engineering skills →
📐
3w ago

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
AI Engineering
239.8K36.4K
🤖
3w ago

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
AI Engineering
239.8K36.4K
🤖
3w ago

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
AI Engineering
239.8K36.4K