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Found 409 Skills
Load PROACTIVELY when task involves building a complete feature across multiple layers. Use when user says "build a feature", "add user profiles", "create a dashboard", or any request spanning database, API, UI, and tests. Orchestrates multi-agent work sequentially: schema and migrations, API endpoints, UI components, tests, and review. Handles dependency ordering and cross-layer type sharing.
Spec-Driven Development (SDD) methodology based on GitHub's SpecKit. Use for structured AI-assisted development with constitutional governance, phased workflows, and multi-agent coordination. Implements 7-phase process from constitution to implementation.
Design new APIs or review existing ones using debate-driven multi-agent workshop. Agents propose designs and challenge each other on consumer UX, domain modeling, security, performance, and standards compliance. Use when the user wants to design a new API, review an existing API, decide between REST/GraphQL, or improve API architecture. Keywords: api design, api review, rest api, graphql, openapi, api architecture, api specification, endpoint design, api standards.
Use when creating, modifying, or refactoring Claude Code skills that require structured multi-agent review and quality validation
Review local git changes from 8 expert perspectives using multi-agent team orchestration. Produces a consolidated report with Critical/Important/Nice-to-have severity levels. Lightweight pre-commit or pre-push quality gate — no PR or branch push required. Use when the user asks to review local changes, check changes before committing, get a team review of working tree changes, or run a pre-commit review. Trigger phrases include "review local", "review my changes", "review local changes", "pre-commit review", "review before commit", "review before push", "team review my changes", "check my changes", "review working tree", "local code review", "review diff", "review my diff".
Install AI UI components from the Elements registry. Use when user needs chat interfaces, agentic UIs (tool calls, reasoning, plans), multi-agent dashboards, or AI devtools. Triggers on "AI component", "chat UI", "agent UI", "tool call component", "streaming text", "agentic", "multi-agent", "AI SDK", "chat input", "message bubble", "thinking indicator".
Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits.
Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
Build and operate multi-agent workflows with OpenAI Agents SDK (Python): define agents/tools/handoffs, add guardrails, run conversations, and debug orchestration behavior. Use when users ask for agent orchestration with OpenAI-native patterns, handoff routing, or production-ready agent loops.
Implement Cisco's Foundry specification for agentic AI security evaluation systems with multi-agent architecture
AI-powered autonomous penetration testing framework with multi-agent system, real security tool execution, and compliance reporting
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.