kiro-integration
AWS Kiro specification patterns and synchronization. Use when working with Kiro IDE, syncing requirements.md/design.md/tasks.md files, or configuring steering files for AI agent context.
kiro-sync
Synchronize specifications with AWS Kiro format (requirements.md, design.md, tasks.md).
openapi-authoring
Author and validate OpenAPI 3.1 specifications for REST API design, following API-first and contract-first development practices
plan
Generate an implementation plan from a specification. Phase 2 of Spec Kit workflow.
refine
Refine specification with AI-assisted improvements.
requirements-quality
Requirements quality assessment and improvement. Use when evaluating requirements against INVEST criteria, improving clarity, detecting ambiguity, or ensuring completeness. Provides quality checklists, refinement patterns, and MoSCoW prioritization guidance.
spec-management
Central authority for specification-driven development. Use when working with requirements, specifications, acceptance criteria, or any spec-driven workflow. Provides navigation to specialized skills and delegates to docs-management for official documentation.
speckit-run
Execute the complete GitHub Spec Kit 5-phase workflow from constitution to implementation.
speckit-workflow
GitHub Spec Kit 5-phase workflow. Use when following the Constitution → Specify → Plan → Tasks → Implement cycle. Provides phase guidance, file templates, and workflow orchestration.
status
Display specification status dashboard showing workflow progress, quality scores, and pending items.
userstory-author
Author Agile-style user stories with linked acceptance criteria.
validate
Validate specification against schema and quality rules.
api-design-fundamentals
Use when designing APIs, choosing between REST/GraphQL/gRPC, or understanding API design best practices. Covers protocol selection, resource modeling, and API patterns.
api-review
Review API design for best practices, consistency, and common issues
rag-architecture
Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques, and context assembly. Use when designing RAG pipelines, improving retrieval quality, or building knowledge-grounded LLM applications.
rag-design
Design a RAG architecture for a use case
rate-limiting-patterns
Use when implementing rate limiting, throttling, or API quotas. Covers algorithms like token bucket and sliding window, plus distributed rate limiting patterns.
security-review
Perform a security architecture review with Zero Trust assessment - identifies authentication/authorization gaps, data protection issues, and provides remediation guidance
self-service-infrastructure
Use when designing infrastructure self-service portals, IaC templates, or automated provisioning systems. Covers Terraform modules, Pulumi, environment provisioning, and infrastructure guardrails.
slo-sli-error-budget
Use when defining SLOs, selecting SLIs, or implementing error budget policies. Covers reliability targets, SLI selection, and error budget management.
slo-workshop
Interactive SLO definition workshop - guides through defining SLIs, setting SLO targets, and establishing error budget policies for a service
stream-processing
Use when designing real-time data processing systems, choosing stream processing frameworks, or implementing event-driven architectures. Covers Kafka, Flink, and streaming patterns.
vector-databases
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.
zero-trust-architecture
Use when designing security architectures, implementing zero trust principles, or evaluating security posture. Covers never trust always verify, microsegmentation, identity-based access, and ZTNA patterns.
adw-design
Guide creation of AI Developer Workflows (ADWs) that combine deterministic orchestration code with non-deterministic agents. Use when building automated development pipelines, designing AFK agent systems, or implementing the PITER framework.
agent-expert-creation
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
agent-governance
Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.
agent-lifecycle-management
Manage agent fleet through CRUD operations and lifecycle patterns. Use when creating, commanding, monitoring, or deleting agents in multi-agent systems, or implementing proper resource cleanup.
agent-specialization
Guide creation of focused single-purpose agents following the One Agent One Prompt One Purpose principle. Use when designing new agents, refactoring general agents into specialists, or optimizing agent context for a single task.
install-worktree
Set up isolated Git worktree environment for parallel agent execution. Use when parallelizing agents across branches.
agentic-kpi-tracking
Track and measure agentic coding KPIs for ZTE progression. Use when measuring workflow effectiveness, tracking Size/Attempts/Streak/Presence metrics, or assessing readiness for autonomous operation.
agentic-layer-assessment
Assess agentic layer maturity using the 12-grade classification system (Class 1-3). Use when evaluating codebase readiness, identifying next upgrade steps, or tracking progress toward the Codebase Singularity.
agentic-layer-audit
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
analyze-prompt
Analyze existing prompt and suggest improvements using the Seven Levels framework
audit-layer
Audit a codebase for agentic layer coverage and identify investment opportunities. Use to assess agentic maturity and find gaps.
broadcast-event
Design WebSocket event broadcasting for ADW observability. Use when streaming workflow events to external dashboards or monitoring systems.
bug
Generate a comprehensive bug fix plan with root cause analysis. Use when you have a bug to investigate before implementing a fix.
chore
Generate a comprehensive chore plan from a one-line description. Use for maintenance tasks, cleanup, refactoring, or dependency updates.
classify-issue
Classify a GitHub issue into a problem class (chore, bug, or feature) for ADW routing. Use to determine which planning template to apply.
closed-loop-design
Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verification.
commit-with-agent
Create a Git commit with agent attribution for ADW workflows. Use after implementing changes to create semantically formatted commits.
composable-primitives
Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.
composable-step-design
Design Plan/Build/Review/Fix workflow steps for ADWs. Use when creating composable workflow primitives, defining step contracts, or implementing step isolation patterns.
conditional-docs-setup
Set up conditional documentation loading to prevent context pollution. Use when organizing project docs, implementing progressive disclosure, or reducing CLAUDE.md token consumption with on-demand loading.
configure-hooks
Configure hook-based event handling for ADW observability. Use when setting up PreToolUse, PostToolUse, or other hooks for workflow monitoring.
context-audit
Audit current context composition and identify optimization opportunities. Use when context window is overloaded, agents are underperforming, or applying the R&D framework to optimize token usage.
prime
Prime agent with codebase understanding. Runs git ls-files, reads README, and summarizes project structure. Use at start of session or when context is lost.
product-expert-design
Design user-facing agent experts for adaptive UX and personalization. Use when building product features that learn from user behavior, creating per-user expertise files, or implementing AI-driven personalization.
prompt-level-selection
Guide selection of appropriate prompt level for a task. Use when choosing between simple prompts and complex workflows, applying the seven levels framework, or matching task complexity to prompt investment.
prompt-section-design
Design composable prompt sections for building agentic prompts. Use when creating reusable prompt components, designing LEGO-block prompt sections, or structuring prompts for the stakeholder trifecta.
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