llm-council
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
red-team-frameworks
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
slipstream-finetune
Finetune LLMs to speak Slipstream natively - complete guide with GLM-4-9B
orchestrator
AIDA pipeline orchestration with Task tool multi-agent delegation. Manages 5-phase workflow with Leader/Player subagents.
burn-training
This skill should be used when the user asks about "training loop", "Learner", "metrics", "dataset", "dataloader", "checkpointing", "optimizer", "learning rate scheduler", "custom training", or Burn training workflows.
nixtla-timegpt-finetune-lab
Enables TimeGPT model fine-tuning on custom datasets with Nixtla SDK. Guides dataset preparation, job submission, status monitoring, model comparison, and accuracy benchmarking. Activates when user needs TimeGPT fine-tuning, custom model training, domain-specific optimization, or zero-shot vs fine-tuned comparison.
agent-runtime-overview
This skill should be used when the user asks "what is agent-runtime", "why use agent-runtime", "what does this repo do", "agent runtime architecture", "how does agent-runtime work", or needs to understand the purpose, value proposition, and high-level architecture of the @hhopkins/agent-runtime monorepo.
skill-creator
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
skill-creation
SOP for creating new Claude Code skills. Use when adding a new skill to any project or globally.
summoning-the-user
Use when an agent encounters a blocking decision or when proceeding without user input could lead to wasted work - helps Claude determine when to block and request user input versus making reasonable assumptions
external-consensus
Synthesize consensus implementation plan from multi-agent debate reports using external AI review
authoring-skills
创建新的 Agent Skill 或优化现有 Skill。当用户需要编写 SKILL.md、审查 Skill 质量、改进 Skill 结构、或学习 Skill 最佳实践时使用。根据官方创作指南自动生成符合规范的 Skill 文件。
gemini-imagegen
Generate AI images using Google Gemini via OpenRouter. Use when the user wants to create images, generate pictures, make AI art, edit images, or transform photos. Supports both text-to-image and image-to-image generation.
synapse-result-schemas
Explains result schema classes for Synapse plugin actions. Use when the user mentions "TrainResult", "InferenceResult", "ExportResult", "UploadResult", "WeightsResult", "MetricsResult", "result_model", "result schema", or needs help with action return type validation.
skill-creator
高效skill创建指南。当用户希望创建新的skill(或更新现有skill),以通过专业知识、特定工作流或工具集成来扩展 Claude 的能力时,应使用此项技能。
conversation-reader
Extract and read Claude conversation JSONL files with composable filters (discovery: rubber-duck). Evaluate at rubber-duck or at any point in the sesssion when task requires reading conversation history, verifying tool outputs, or auditing session behavior. Use instead of raw Read/grep on ~/.claude/projects/*.jsonl files.
self-learning
Self-learning capability for agents. Captures execution traces, extracts insights, and adapts agent behavior. Use after completing complex tasks, when agents encounter recurring issues, or to optimize workflows over time. Critical for multi-agent systems like orchestrator, worker, and reviewer.
nixtla-timegpt2-migrator
Analyze and transform code for TimeGPT-1 to TimeGPT-2 migration. Use when upgrading TimeGPT version. Trigger with 'migrate to TimeGPT-2' or 'upgrade TimeGPT'.
teacher-team
Educational AI system with personalized learning, curriculum design, and adaptive mentorship
julien-cmd-claude-json-cleanup
Clean up oversized ~/.claude.json file to prevent token limit errors. Use when Read tool fails with 'exceeds maximum allowed tokens' or to maintain Claude config performance.
ai-engineer-expert
Expert-level AI implementation, deployment, LLM integration, and production AI systems
rag-auditor
Produzir auditoria de colapso semantico em RAG, taxonomia hierarquica e schema de Graph-RAG para sistemas de recuperacao. Usar quando o usuario pede diagnostico de alucinacao/queda de precisao em vector stores, arquitetura RAG hierarquica ou grafo de conhecimento.