gotalab/cc-sdd

DirSkills catalogs 24 skills from this repository, across 4 categories: AI Engineering, Automation, Quality, Writing.

3.6K stars275 forksView on GitHub
🤖
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
🧭
2w ago

Kiro Discovery

Kiro Discovery is the entry point for new work in a spec-driven development workflow. It scans existing project state, asks clarifying questions to identify boundaries, and proposes actionable approaches before implementation begins.
AI Engineering
3.6K275
🧭
2w ago

Kiro Discovery

Kiro Discovery determines the best action path or work decomposition for new work, refining ideas through structured dialogue. Use it when starting a new feature, bug fix, or spec-driven task to identify whether to update an existing spec, create a new one, or skip specs.
AI Engineering
3.6K275
🤖
2w ago

Kiro Impl

Kiro Impl implements approved tasks using test-driven development and subagent dispatch. It runs all pending tasks autonomously or selected tasks manually, verifying tests pass before marking tasks complete.
AI Engineering
3.6K275
🛠️
2w ago

Kiro Impl

Kiro Impl implements approved tasks using test-driven development and native subagent dispatch, running pending tasks autonomously or selected tasks manually.
AI Engineering
3.6K275
🔍
2w ago

Kiro Review

Kiro Review performs adversarial task-local review of a task implementation against approved specs, task boundaries, and verification evidence. Use it after an implementer finishes a task, after remediation, or before accepting a task as complete.
Quality
3.6K275
🔍
2w ago

Kiro Review

Kiro Review performs adversarial review of a task implementation against approved specs, task boundaries, and verification evidence. Use it after an implementer reports the task ready, after remediation, or before accepting a task as complete.
Quality
3.6K275
📋
2w ago

Kiro Spec Batch

Kiro Spec Batch generates complete specs (requirements, design, tasks) for all pending roadmap features by dispatching parallel subagents grouped by dependency waves, then runs a cross-spec consistency review. Use it when briefs exist for all features and you want spec-driven development specs created in dependency order.
AI Engineering
3.6K275
📐
2w ago

Kiro Spec Design

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.
AI Engineering
3.6K275
📐
2w ago

Kiro Spec Design

Kiro Spec Design generates comprehensive technical designs that translate requirements into architecture through a discovery process. Use it when creating architecture from requirements or extending an existing system.
AI Engineering
3.6K275
📋
2w ago

Kiro Spec Init

Kiro Spec Init initializes the specification structure for a new feature in spec-driven development, creating spec.json and requirements.md from templates after clarifying project intent and checking for an existing brief.
Automation
3.6K275
2w ago

Kiro Spec Quick

Kiro Spec Quick generates specification files for a feature by running four phases—initialize spec, requirements, design, and tasks—with interactive or automatic modes. Use it to quickly scaffold a spec-driven development workflow and sanity-check the generated artifacts.
AI Engineering
3.6K275
📊
2w ago

Kiro Spec Status

Kiro Spec Status reads a specification's files and reports its current phase, completion percentage, task breakdown, boundary context, and next actions. Use it to see where a spec-driven development effort stands and what blockers or revalidation needs are next.
Quality
3.6K275
📋
2w ago

Kiro Spec Tasks

Kiro Spec Tasks reads specification documents and generates an implementation task plan, mapping every requirement to executable 1–3 hour tasks with dependencies and parallel markers. Use it in spec-driven development to turn approved requirements and design into a reviewable tasks.md.
Automation
3.6K275
🧭
2w ago

Kiro Steering Management

Kiro Steering Management maintains {{KIRO_DIR}}/steering/ as persistent project knowledge, bootstrapping core steering files from the codebase and syncing them as the project evolves. Use it to keep AI agents' shared context aligned with codebase patterns and principles.
AI Engineering
3.6K275
🔍
2w ago

Kiro Validate Design

Kiro Validate Design reviews technical design documents against requirements and project context, identifying critical issues and giving a GO/NO-GO decision before implementation.
Quality
3.6K275
📋
2w ago

Spec Batch

Spec Batch creates complete specification files (spec.json, requirements.md, design.md, tasks.md) for all features in a roadmap by dispatching sub-agents in dependency-ordered waves. Use it when you need to generate specs for a whole project roadmap and verify cross-spec consistency.
AI Engineering
3.6K275
📋
2w ago

Spec Requirements

Spec Requirements generates a comprehensive requirements document aligned with steering context, using EARS-formatted acceptance criteria to capture user-observable behavior and explicit scope boundaries for spec-driven development. Use it after discovery to turn a project brief into testable, unambiguous requirements before design.
Writing
3.6K275
2w ago

Verify Completion

Verify Completion checks completion and success claims against fresh command evidence before a task, fix, test, or feature is reported as done. Use it before closing tasks, trusting subagent success, or giving feature GO.
Quality
3.6K275