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rl-reward
Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.
conversation-analyzer
Analyzes Claude Code conversation JSONL files to extract structured data and generate problem-solution narratives for semantic search indexing
image-gen
AI 图片生成。通过 ModelScope API 生成图片，支持文生图、异步任务轮询、LoRA 风格叠加、自定义尺寸。当用户要求生成图片、画图、创建插画、制作海报配图时使用。
grad-paragraph
Write one survey-quality paragraph from evidence packs (tension → contrast → evaluation anchor → limitation). **Trigger**: grad paragraph, paragraph micro-structure, argument paragraph, 研究生段落, 论证段落, 对比段, 段落写作. **Use when**: you are drafting `sections/S*.md` (H3 body) and want subsection-specific, evidence-bounded prose instead of templates. **Skip if**: evidence packs are missing/incomplete (fix `subsection-briefs`/`evidence-draft`/`evidence-binder` first), or `Approve C2` is not recorded in `DECISIONS.md`. **Network**: none. **Guardrail**: do not invent facts or citations; no placeholders/ellipsis; keep claims conservative when evidence is abstract-level (avoid repeating evidence-mode boilerplate in every paragraph).
agent-tools
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
earnings-calendar
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
data-analysis
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.
agent-messaging
Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any inter-agent communication.
subtask
Parallel task orchestration CLI that dispatches work to AI workers (via Claude Code) in isolated git workspaces. Use when the user wants to draft, create, run, or manage tasks, delegate tasks to workers/subagents, or mentions subtask or Subtask.
model-serving
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.
building-tables
Builds tables and data grids for displaying tabular information, from simple HTML tables to complex enterprise data grids. Use when creating tables, implementing sorting/filtering/pagination, handling large datasets (10-1M+ rows), building spreadsheet-like interfaces, or designing data-heavy components. Provides performance optimization strategies, accessibility patterns (WCAG/ARIA), responsive designs, and library recommendations (TanStack Table, AG Grid).
ingesting-data
Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases. Use when importing CSV/JSON/Parquet files, pulling from S3/GCS buckets, consuming API feeds, or building ETL pipelines.
using-vector-databases
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
policyengine-uk-data-skill
UK survey data enhancement - FRS with WAS imputation patterns
sofa-score
Calculate SOFA (Sequential Organ Failure Assessment) score for ICU patients in MIMIC-IV. Use for sepsis severity assessment, organ dysfunction quantification, mortality prediction, or Sepsis-3 criteria evaluation.
rag-retrieval-service
Imported from https://github.com/mjunaidca/robolearn.
sap-sqlscript
This skill should be used when the user asks to "write a SQLScript procedure", "create HANA stored procedure", "implement AMDP method", "optimize SQLScript performance", "handle SQLScript exceptions", "debug HANA procedure", "create table function", or mentions SQLScript, SAP HANA procedures, AMDP, EXIT HANDLER, or code-to-data paradigm. Comprehensive SQLScript development guidance for SAP HANA database programming including syntax patterns, built-in functions, exception handling, performance optimization, cursor management, and ABAP Managed Database Procedure (AMDP) integration.
Pixel Art Exporter
Export sprites to PNG, GIF, or spritesheet formats with JSON metadata for game engines. Use when the user wants to "export", "save", "output", "render", "generate", "create file", mentions file formats like "PNG", "GIF", "animated GIF", "spritesheet", "sprite sheet", "texture atlas", "tile sheet", or game engine integration with "Unity", "Godot", "Phaser", "Unreal", "GameMaker". Trigger on layout terms ("horizontal", "vertical", "grid", "packed", "strip"), scaling ("2x", "4x", "upscale", "pixel-perfect"), file operations ("save as", "export to", "output to"), metadata formats ("JSON", "XML", "metadata", "atlas data"), and delivery terms ("for web", "for game", "for Twitter", "for itch.io", "optimized").
browser
Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications.
aws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
thread-manager
Imported from https://github.com/peterfei/ai-agent-team.
ai-multimodal
Imported from https://github.com/GGPrompts/my-gg-plugins.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
retirement-syncing
Sync retirement account data from Vanguard and Fidelity CSV exports to Google Sheets DataHub. Handles multiple accounts, aggregates holdings by ticker, and updates quantities in retirement section (rows 46-62). Triggers on sync retirement, update retirement, vanguard sync, 401k update, IRA sync, or working with notebooks/retirement-accounts/ files.