All nine kinds in one list: what an agent loads, what it runs, what it
reads and what bundles the rest. 414,052 of
them, each with its token cost per session, a security scan with the
line that triggered it, and whether it is the original or one of the
copies.
Use when the user wants persistent memory across sessions, asks you to remember or recall facts, wants to search their knowledge bases, or convert documents/URLs to Markdown or JSON — all via the kit-for-ai MCP tools.
A human-first method for handing ongoing work from one chat, AI model, device, or language to another. It creates or reads a small handoff document, or a package with files when the receiver needs them.
Use this skill whenever the user wants trading strategy advice, trade recommendations, portfolio guidance, or prediction market analysis that leads to actionable trades. Triggers: "trading strategy", "trade recommendation", "should I buy", "should I sell", "what to trade", "portfolio advice", "prediction market…
Kill orphaned dev servers, browsers, and port-hogging processes spawned during development. Use when ports are occupied, too many node/browser processes are running, or you want a fresh start.
React Router performance and architecture patterns. Use when writing loaders, actions, forms, routes, or working with React Router data fetching. Triggers on tasks involving React Router routes, data loading, form handling, or route organization.
Runs SMA crossover backtests on historical OHLCV/candlestick data, calculating total return, Sharpe ratio, max drawdown, win rate, and trade log. Supports CSV files and JSON input with automatic AKShare/hhxg column normalization. Use when the user asks to backtest a trading strategy, evaluate strategy performance on…
Migrate a Tableau, Looker, or Power BI dashboard to a Hex app that matches it exactly — same queries, results, filters, colors, layout, and tooltips. Use when the user pastes a Tableau dashboard/view link, a Looker dashboard link, or a Power BI report link and asks to migrate, replicate, copy, or rebuild it in Hex, or…
Orchestrate Agent Teams for parallel multi-session collaboration. Use for research, implementation, review, and debug workflows requiring independent teammates.
MCP server "codealive-mcp" as configured in CodeAlive-AI/codealive-mcp. Runs in Docker (ghcr.io/codealive-ai/codealive-mcp:3.0.3). Needs 1 environment variable to run.
★not rated 90 6d agoA
tokens not measured
originalMIT
Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards. Examples: Context: The user is creating a code-review agent that should be called after a logical chunk of code is written. user: "I've finished implementing the user authentication…
A tool for managing podcast subscriptions, synchronizing RSS episode details, transcribing audio, creating chapters, searching transcripts, and saving notes as Markdown or Obsidian files. RSS is a standard feed that publishes new episode information.
Ambient awareness for Agent Council. Detects moments where convening a multi-model council would genuinely help and suggests the right command. Never interrupts. Never nags. Just a quiet tip at the right moment.
Integrate Sketch with your workflows. Includes the Sketch MCP server and skills to explore and organize documents, generate code from designs, create designs from code, and more.
Read a research paper end to end and produce a single Heilmeier-style analysis that doubles as both summary and critique. Use this skill whenever the user shares a research paper (PDF upload, arXiv link, arXiv ID, DOI, or pasted paper text) and asks anything that resembles "read this", "summarize this paper", "what…
Scans a codebase and generates a self-contained HTML service-design journey map — NN/g combined customer journey + service blueprint format. Use when the user wants to map user journeys, create journey maps, build service blueprints, or understand user flows from code. Prompts for codebase path if not supplied. Works…
A reference skill for answering questions about colour science and colour measurement. It covers topics such as CIE colour systems, colour differences, colour appearance, colour vision and lighting.
Run one action in an outcome-loop folder. Use when the user wants to execute the outcome loop, start with Superdense reward maintenance, choose one action on a lever, create runs/ /work.md and learnings.md, or use prior outcomes to improve a real-world metric.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: