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Agent skills
agentic-workflow

Topic: agentic-workflow

2,980 skills in this topic.

agent-booster WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
a5c-ai/babysitter 514
anti-drift Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
a5c-ai/babysitter 514
consensus-mechanisms Multi-protocol consensus for agent swarms supporting Raft leader election, Byzantine fault tolerance, Gossip state propagation, and CRDT conflict-free merging.
a5c-ai/babysitter 514
security-hardening AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.
a5c-ai/babysitter 514
self-optimization SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
a5c-ai/babysitter 514
smart-routing Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
a5c-ai/babysitter 514
swarm-orchestration Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.
a5c-ai/babysitter 514
vector-memory HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
a5c-ai/babysitter 514
brainstorming Use when starting any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
a5c-ai/babysitter 514
executing-plans Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
a5c-ai/babysitter 514
requesting-code-review Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
a5c-ai/babysitter 514
subagent-driven-development Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
a5c-ai/babysitter 514
systematic-debugging Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Requires root cause investigation first.
a5c-ai/babysitter 514
test-driven-development Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.
a5c-ai/babysitter 514
using-superpowers Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.
a5c-ai/babysitter 514
verification-before-completion Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Evidence before assertions.
a5c-ai/babysitter 514
writing-plans Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.
a5c-ai/babysitter 514
coding-standards Detects code smells, anti-patterns, and readability issues. Use when implementing features, reviewing code, or refactoring.
shinpr/ai-coding-project-boilerplate 195
documentation-criteria Guides PRD, ADR, Design Doc, and Work Plan creation. Use when creating or reviewing technical documents.
shinpr/ai-coding-project-boilerplate 195
frontend-technical-spec Defines frontend environment variables, component design, and data flow patterns. Use when configuring React environment.
shinpr/ai-coding-project-boilerplate 195
frontend-typescript-rules Applies React/TypeScript type safety, component design, and state management rules. Use when implementing React components.
shinpr/ai-coding-project-boilerplate 195
frontend-typescript-testing Designs tests with React Testing Library, MSW, and Playwright E2E. Applies component testing and E2E testing patterns.
shinpr/ai-coding-project-boilerplate 195
implementation-approach Selects implementation strategy (vertical slice, horizontal, or hybrid) with risk assessment. Use when planning feature implementation.
shinpr/ai-coding-project-boilerplate 195
integration-e2e-testing Designs integration and E2E tests with mock boundaries and behavior verification rules. Use when writing E2E or integration tests.
shinpr/ai-coding-project-boilerplate 195