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agent-ops-optimize-instructions
Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size while preserving information.
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openai-agents-sdk
Expert assistance for OpenAI Agents SDK Python library including installation, configuration, multi-agent systems, debugging, and best practices. Proactively fetches the latest documentation to ensure accuracy....
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deep-plan
Structured clarification before decisions. Use when user is in PLANNING mode, explicitly asks to plan or discuss, or when agent faces choices requiring user input. Ensures agent asks questions instead of making...
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agent-ops-retrospective
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.
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mytime
Automatically call at session start if not already called in current session to retrieve current time information including timezone, UTC offset, local time, UTC time, system language, operating system name, an...
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context-aware-messaging
Use this agent to implement context-aware messaging that adapts language based on user role and emotional state. User: "Same language is used for someone planning vs grieving" Agent: Use context-aware-messagi...
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tool-parser-generator
Generate optimized tool call parsers for dynamo from HuggingFace model chat templates. Use this when you need to add support for a new model's tool calling format. Takes a HuggingFace model name, analyzes its c...
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example-sentences
Requirements for creating and revising example sentences in je-dict-1. Covers minimum counts, progressive length, vocabulary restrictions by tier, and quality standards.
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agents-overview
Overview of the agent system
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agent-creator
Guide for creating, configuring, and refining AI Agents. Use this skill when users want to define a new agent persona, generate a system prompt, or assemble a specific set of skills/workflows for a specialized...
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review-captured
Review recently captured commands from Claude sessions
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learn
Extract and persist insights from the current conversation to the knowledge base
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memory-retrieval
Retrieve relevant memories from memento knowledge graph at task start
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gemini-api
Google Gemini API for AI/ML applications. Use for text generation, image understanding, video processing, function calling, embeddings, and multimodal AI capabilities.
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websocket-real-time
Real-time communication for live poker, chat, and notifications
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prompt-engineer
Expert prompt optimization for LLMs and AI systems, specialized in agent cognitive architecture. Use PROACTIVELY when optimizing agent prompts, persona caching, reflection/planning prompts, or A2A conversation...
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prompt-design
Design MCP prompts to expose reusable prompt templates. Use when creating parameterized prompts in xmcp.
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create-plugin
Create an empty Claude plugin with basic structure and files.
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offer-doc-review
Reviews full Offer Documents for BlackBelt/MDC coaches. Evaluates all 12 chassis elements and diamond mechanics. Produces Facebook-ready feedback.
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promiseall-for-independent-operations
2-10× improvement
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use-after-for-non-blocking-operations
faster response times
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dependency-based-parallelization
2-10× improvement
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monitor-training
Monitor combat training with cool visual display and adaptive intervals
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GitHub
verify-accessibility
Expert audit for WCAG 2.1/2.2 and W3C accessibility compliance.
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