All Skills

Git branch completion workflow. Use when implementation is complete, tests pass, and a feature branch needs to be integrated via merge, pull request, or cleanup.

Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.

Automated test validation, coverage checking, and quality metrics with aggressive defaults

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Session initialization and lifecycle management: bootstraps session context, organizes files, generates CLAUDE.md, manages soul purpose lifecycle with completion protocol and active context harvesting. Use when user says /start, /init, bootstrap session, initialize session, or organize project.

Create product backlog items in Why-What-Acceptance format — independent, valuable, testable items with strategic context. Use when writing structured backlog items, breaking features into work items, or using the WWA format.

Personal knowledge management using Graphiti knowledge graph with Neo4j/FalkorDB, supporting remote MCP access with connection profiles and TLS, OSINT/CTI ontology, and investigative search. USE WHEN 'store this', 'remember this', 'add to knowledge', 'search my knowledge', 'what do I know about', 'find in knowledge base', 'save to memory', 'graphiti', 'knowledge graph', 'entity extraction', 'relationship mapping', 'semantic search', 'episode', 'install knowledge', 'setup knowledge system', 'configure knowledge graph', 'remote knowledge server', 'connect to knowledge', 'knowledge profile', knowledge capture, retrieval, synthesis, memory decay, decay scoring, lifecycle state, importance classification, stability classification, health metrics, run maintenance, permanent memory, soft-delete, 'investigate entity', 'find connections', 'graph traversal', 'threat hunting', 'list ontology', 'custom entity types', 'CTI entities', 'OSINT entities', 'import STIX', 'STIX bundle', 'threat intel import'.

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.

Automate Apitemplate IO tasks via Rube MCP (Composio). Always search tools first for current schemas.

Comprehensive performance specialist covering analysis, optimization,

Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas.

Ideation and deep research skill for BMAD. Use for bmad:ideate and bmad:research-deep to generate options and structured insight.

Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Network architecture, troubleshooting, and infrastructure patterns. Use

Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, observability (LangSmith/OpenTelemetry), deployment, and performance/cost optimization — or when migrating off deprecated patterns like `langgraph.prebuilt.create_react_agent` and libraries like `langgraph-supervisor(-py)`, LlamaIndex agents, CrewAI, Agno, or OpenAI Agents.

Game art principles. Visual style selection, asset pipeline, animation workflow.

Game design principles. GDD structure, balancing, player psychology, progression.

Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.

SEO analysis and optimization specialist. Use when conducting technical

备份策略设计

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

Orchestrates full decomposition (scope → Epics → Stories → RICE prioritization) by delegating ln-210 → ln-220 → ln-230. Sequential processing. Epic 0 for Infrastructure.