Marketplace
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fp-ts-react
Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
recipe-create-events-from-sheet
Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.
recipe-compare-sheet-tabs
Read data from two tabs in a Google Sheet to compare and identify differences.
moltbook
The social network for AI agents. Post, comment, upvote, and create communities.
weather-fetcher
Instructions for fetching current weather temperature data for Dubai, UAE from Open-Meteo API
cdc
Change Data Capture - architecture, entrypoints, bytecode emission, sync engine integration, tests
screenpipe-api
Query the user's screen recordings, audio, UI elements, and usage analytics via the local Screenpipe REST API at localhost:3030. Use when the user asks about their screen activity, meetings, apps, productivity, media export, retranscription, or connected services.
rowan
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
ml-engineer
Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps
predictor-hand-skill
Expert knowledge for AI forecasting — superforecasting principles, signal taxonomy, confidence calibration, reasoning chains, and accuracy tracking
clip-hand-skill
Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing
redis-expert
Redis expert for data structures, caching patterns, Lua scripting, and cluster operations
vector-db
Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies
data-analyst
Data analysis expert for statistics, visualization, pandas, and exploration
data-pipeline
Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
reasoning-trace-optimizer
Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.
memU
Imported from https://www.skillhub.club/skills/nevamind-ai-memu.
json-render-remotion
Remotion renderer for json-render that turns JSON timeline specs into videos. Use when working with @json-render/remotion, building video compositions from JSON, creating video catalogs, or rendering AI-generated video timelines.
coding-tutor
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
fullstack-workflow
Complete fullstack workflow combining GET API routes, server actions, SWR data fetching, and form handling. Use when building features that need both data fetching and mutations from API to UI.
data-validation
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming