Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
112 skills found
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.
Aggregates and analyzes market sentiment for crypto and stock tickers by scanning news and social signals for quick trading vibe checks.
Provides data-driven trading strategies for cryptocurrencies using Binance market data, technical analysis indicators, and aggregated crypto market sentiment.
Analyze search results (SERP) to classify user intent, identify feature opportunities, and conduct competitive intelligence for content strategy.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.
Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers binary selection, CLI commands, trace exports, and common debugging gotchas.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.