Herramientas

Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.

Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.

Connects to your local or cloud Zotero library: search by title, full text or semantics, read PDFs and annotations, add items by DOI and organize collections. Needs Python 3.10+; for local mode, enable the local API in Zotero settings first.

12 LinkedIn writing skills: draft posts, comments and replies in your voice without obvious AI tone, optimize your profile and plan a week of content, with your approval before anything goes out. Also usable in Claude desktop/web (paid plans); optional Apify token to read posts, Publora to publish.

12 LinkedIn writing skills: write posts, comments and replies in your voice without AI tone, plan a week of content and rewrite your profile, waiting for your confirmation before each post. Produces copy-paste drafts by default; optional Apify (reading posts) and Publora (auto-publish) API keys.

Fixes defensive academic writing full of hedging and preemptive disclaimers, organizing abstract, introduction, experiments and conclusion around your strongest contribution. Also helps trim length and self-check before a rebuttal. English and Chinese versions, plus a prompt for any AI chat.

Audits and rewrites AI-sounding prose: detects stock phrases using 70+ pattern categories and a tiered replacement word list, with detect-only, rewrite and in-place edit modes and optional voice settings. Rules are calibrated for English.

Turns SRT subtitles into a hand-drawn whiteboard animation on warm paper that follows the narration, exported as MP4, pausing for approval at storyboard, line art and annotation steps. Good for lesson explainers. Needs Python; line art from an image-capable agent or your own.

From the FinanceToolkit author: computes ratios, valuation, risk and macro indicators with 500+ transparent formulas, for company comparisons and first-pass due diligence. Hosted, no install; enter a Financial Modeling Prep key on first connect (free tier: US stocks, 5 years). Verify results.

LM Studio's official CLI: list, load and unload local models, start and stop the local API server, and check status and logs; ls, ps and other commands support --json output for scripts and agents. Requires the LM Studio desktop app.

Detects shot changes in video and splits long footage into scenes, exporting cut lists and per-scene thumbnails, useful for shot analysis, organizing footage and finding edit points. Runs locally; needs Python 3.10+, plus FFmpeg or mkvmerge for splitting.

Self-contained modern TeX/LaTeX engine based on XeTeX and TeX Live that downloads and caches support files on first build, compiling .tex to PDF in one command without installing a full TeX distribution.

Generates hand-drawn-style Excalidraw diagrams (.excalidraw files you can keep editing on excalidraw.com) from text, choosing fan-out, timeline or convergence layouts by how concepts relate. Optional uv and Playwright let the agent render and check layouts; colors live in one file you can restyle.

Converts AsciiDoc, a Markdown-like plain-text markup, into HTML5, DocBook and man pages, and with official extensions into PDF and EPUB, suited to technical books, textbooks and large manuals. Ruby-based; install with Homebrew on macOS.

Mermaid's official CLI, mmdc: renders flowcharts, sequence diagrams and other Mermaid definitions to SVG, PNG or PDF, and can batch-convert mermaid code blocks in Markdown into images. Requires Node.js.

CLI and TypeScript runtime for discovering and calling MCP servers from the terminal and scripts: list tool signatures and call tools directly, or generate a standalone CLI or typed client from a server. Auto-imports existing MCP configs from Claude Code, Codex and others.

Empirical social science skills from Stanford REAP and CoPaper.AI, bundling 77 in-house and third-party collections: topic selection, literature reviews, DID/RD/IV identification, regression tables in Python, Stata or R, robustness audits and paper writing. Stata flows need Stata installed.

Draws bar charts, histograms, line charts, scatter plots and box plots in the terminal from CSV/TSV on stdin, so you can glance at data distributions at the end of a shell pipeline. The command is uplot.

Notion's official self-hosted MCP: uses an integration token to search, read and write pages and data sources, and can read and edit pages as Markdown. Notion now recommends its hosted Remote Notion MCP, and this repo is no longer actively maintained.

17 social media skills from MarTech AI newsletter author Charlie Hills: build a voice profile from an interview and 3-5 past posts, then write LinkedIn posts, Reels scripts, hooks and content matrices, plus Gemini prompts for thumbnails and carousels. Some skills take optional Apify or Gemini keys.

English prose linter that turns usage guides such as Garner's and advice from great writers into rules, flagging clichés, redundancy, bad comparisons and usage errors line by line, with JSON output for agents. Runs locally with Python; English only.

Stores agent memory as local Markdown notes that both people and AI can read, write, search and link, and you can open them directly in Obsidian. Local-first, open source and free, with a paid cloud sync option.

Uses Obsidian's community Local REST API plugin so agents can list, read, search, append to and delete notes, and insert content at a heading, block reference or frontmatter field. Install that plugin and configure its API key first.

Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team.