Herramientas

Converts between Markdown, Word, HTML, LaTeX, EPUB and more with Pandoc, exports PDF and PPTX, and can apply a Word template for consistent styling, handy for formatting manuscripts and handouts. Needs Pandoc and uv; PDF export also needs TeX Live.

A macOS say-style text-to-speech CLI that uses ElevenLabs or 60db to speak text aloud or save it as audio (ElevenLabs supports streaming playback), and can list and switch voices. Needs an API key for the chosen service.

Postiz's official agent CLI: lets AI schedule posts to 28+ platforms such as X, LinkedIn, Instagram, TikTok and YouTube, upload images and video, and check post and account engagement. Ships with skills and a Claude Code plugin. Needs Node.js and a Postiz account (cloud or self-hosted).

Official ClickHouse skills: best practices for schema design, primary keys, JOINs and inserts ranked by impact, advice on real-time architecture decisions, in-process SQL and pandas-compatible analysis with chDB, and local and cloud deployment workflows.

Official ElevenLabs skills: text to speech, speech to text, sound effects and music generation, voice changing, vocal isolation, multilingual dubbing and building voice agents. Needs an ElevenLabs API key.

Paper review skills by economist Claes Bäckman: eight subagents simulate journal referees for a pre-submission report, plus quick checks, paper-code consistency checks, reviews of pre-analysis plans and grant proposals, and rewriting papers as policy briefs. Mainly for LaTeX manuscripts.

Uses yt-dlp to pull YouTube subtitles into the agent, so asking it to summarize a video gets you the key points; handy for teachers prepping lessons, researchers and creators. No API key, but needs yt-dlp (Homebrew or WinGet) and Node.js.

Post-draft polishing skills for English LaTeX papers, Chinese theses (GB/T 7714) and Typst manuscripts: compile diagnostics, format and grammar checks, reference verification, reviewer-style assessment, cover letters and defense slides. Needs Python, uv and TeX Live; academic use only.

MCP server for the Lean 4 theorem prover: lets agents read proof goals, diagnostics and definitions and search theorems via LeanSearch and Loogle, helping mathematicians and students with formal proofs. Needs uv and the Lean toolchain; run it from the Lean project root.

Explore and analyze local KiCad projects in natural language: inspect schematic connections, export BOMs, run DRC checks, render PCB previews and recognize common circuit patterns. Needs KiCad 9+, Python 3.10 and uv; clone and install, set your project directory in .env, then register it.

Voice skills: TTS with subtitle timing, emotional character voices, translated dubbing, two-host news podcasts, sound effects and songs. Narration and podcasts work with local Kokoro or free voices; emotion, cloning, dubbing, effects and songs need a Noiz API key. Never clone voices to deceive.

68 trading and quant skills focused on crypto and DeFi: market and on-chain data, technical indicators, backtesting, position sizing and risk, prediction markets, and tax tools for cost basis and wash sales. Most need Python and data API keys (often free tiers); get expert review.

Lets AI do feature-based modeling in SolidWorks: sketches, extrudes, sheet metal, assemblies and drawings, exporting STEP, DXF or PDF, and can rebuild 3D parts from DXF/DWG drawings. Needs Windows, SolidWorks 2026, a Visual Studio build of the C# layer and a Python adapter; early prototype.

Notion's official Claude Code plugin: bundles Notion's hosted MCP with four Cookbook skills (knowledge capture, meeting prep, research write-ups, spec to implementation) and slash commands for searching, creating pages, querying databases and creating tasks. OAuth sign-in.

Official Tavily skills: let agents search the web, extract page content, discover site URLs, crawl in bulk and run cited deep research through the Tavily CLI (tvly). Install the CLI first; search and extract have a limited no-login tier, other features need sign-in or an API key.

Write a script, speakers and visuals in MulmoScript (JSON or YAML) and the mulmo command generates narration and images and assembles a video, podcast, slide deck or PDF, for explainer videos. Needs Node.js, FFmpeg and an OpenAI API key; other providers optional.

Microsoft Teams MCP open-sourced by Inditex: read messages in a set channel, start threads, reply and @mention members, and list members. Requires an Azure app registration and a Teams bot (usually with IT admin help); runs via Docker or Python 3.12 with uv.

Astronomer's official data engineering plugin: write Airflow DAGs to best practices, debug pipeline failures, trace data lineage, profile warehouse tables and migrate from Airflow 2 to 3, with a built-in Airflow MCP server and session hooks.

Research guardrails for PhD students: reproduce arXiv papers, debug training anomalies with evidence, compare runs at matched epochs, check paper-code consistency, verify BibTeX, find literature gaps and predict reviewer comments. No MCP or extra dependencies; mostly for ML research.

Typed as /bro, has the agent re-explain its previous reply in plain, casual language without answering anything new or calling tools, keeping paths, commands and numbers verbatim and replying in the original language.

Customer success plugin from gtm-agents: three commands with subagents for account health monitoring, adoption plans and escalation playbooks, plus skills for risk scoring, executive business reviews (EBRs) and feedback loops. Prompt-only; bring your own usage, ticket and NPS data.

Renewal management plugin for customer success and account managers: segment-based renewal forecasts with upside and downside scenarios, save plays and escalation paths for at-risk accounts, and post-renewal retrospectives. Prompt-based; you supply contract values, usage and other data.

Voice of customer plugin: organizes tickets, interviews, surveys and community feedback into one taxonomy, estimates revenue and churn impact by theme, produces insight briefs for leadership or product, and tracks feedback loops and advocacy programs. No code; supply your own feedback data.

Official FinLab quant skill: lets agents use FinLab data (mainly Taiwan stocks, plus US, Japan, Korea and Hong Kong) to write stock-picking strategies, run backtests and analyze factors. Needs a FinLab account (free tier has a daily data cap), Python 3.10+ and uv. Not investment advice.