Total 34,666 skills
Showing 12 of 34666 skills
Configures and manages Depot CI, a drop-in replacement for GitHub Actions that runs workflows entirely within Depot. Use when migrating GitHub Actions workflows to Depot CI, running `depot ci migrate`, managing Depot CI secrets and variables, running workflows with `depot ci run`, debugging Depot CI runs, checking workflow compatibility, or understanding Depot CI's current beta limitations. Also use when the user mentions .depot/ directory, depot ci commands, or asks about running GitHub Actions workflows on Depot's infrastructure without GitHub-hosted runners. NOTE: Depot CI is currently in beta with limited availability.
GSAP + Remotion integration for professional motion graphics video production. Timeline orchestration, text splitting, SVG morphing, advanced easing, and reusable effect presets.
Handles Depot CLI installation, authentication, login, project setup, organization management, and API access. Use when installing the Depot CLI, logging in with `depot login`, creating or managing Depot projects, configuring API tokens or OIDC trust relationships, setting up depot.json, managing organizations, resetting build caches, or using the Depot API/SDKs. Also use when the user asks about Depot authentication methods, token types, environment variables, or general Depot platform setup that isn't specific to container builds, GitHub Actions runners, or Depot CI.
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.
Comprehensive design system guidelines for building consistent, accessible, and scalable digital products
Create structured, visually hierarchical Notion notes with RogelioKG's style.
Analyze the overall sentiment and tone of management during earnings conference calls, including confidence levels, optimism indicators, and forward-looking language.
コード・プラン・スコープを多角的にレビュー。品質の番人、参上。Use when user mentions reviews, code review, plan review, scope analysis, security, performance, quality checks, PRs, diffs, or change review. Do NOT load for: implementation work, new feature development, bug fixes, or setup.
Structure and write comprehensive research reports with proper citations. Use when finalizing research findings into a formal report.
Conduct structured market research for a solopreneur business. Use when sizing a market, understanding industry dynamics, mapping the competitive landscape broadly, identifying trends, or building customer personas from external data. Covers TAM/SAM/SOM estimation, free data sources, trend analysis, and persona construction. Trigger on "research this market", "how big is this market", "understand the industry", "market trends", "who are the players in this space", "market analysis".