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Found 6,994 Skills
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
Instruments Python and TypeScript code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing", "Trace my TypeScript app"
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
Complete git workflow patterns including GitHub Flow branching, atomic commits with interactive staging, merge and rebase strategies, and recovery operations using reflog. Essential patterns for clean history. Use when managing branches, defining branching strategy, or recovering git history.
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.
Implement core Gamma workflow for presentation editing and export. Use when modifying existing presentations, exporting to various formats, or managing presentation assets. Trigger with phrases like "gamma edit presentation", "gamma export", "gamma PDF", "gamma update slides", "gamma modify".
Use this skill whenever you are implementing a feature using TDD.
Orchestrate the 9-step skill development lifecycle for the CaldiaWorks Skills repository. Guides through ideation, issue creation, planning, branch creation, requirements definition, skill implementation, commit, pull request, and post-merge issue cleanup. Use when: skill development workflow, develop a skill end-to-end, skill-dev-workflow, /skill-dev-workflow, create and publish a skill.
Converts natural language business approval workflow descriptions into YonBIP-standard Excel workflow path tables to import workflow definition into YonBIP. Use when user provides approval rules in natural language and needs workflow path tables.
Receive and verify Webflow webhooks. Use when setting up Webflow webhook handlers, debugging signature verification, or handling Webflow events like form_submission, site_publish, ecomm_new_order, or collection item changes.
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.