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Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

Live stock and crypto quotes in the terminal with portfolio profit and loss tracking, using Yahoo Finance and Coinbase data. The main view is an interactive dashboard; ticker print exports holdings from your config at current prices as JSON or CSV for scripts and agents.

Posit's open-source scientific and technical publishing system built on Pandoc: embed Python, R or Julia code in Markdown or Jupyter notebooks, then quarto render produces HTML, PDF, Word, slides, websites and books.

Language and toolset for double-entry bookkeeping in text files: bean-check validates the ledger, bean-format normalizes it, and Fava or beanquery handle reports and queries. Plain-text ledgers are easy for agents to generate and keep in version control.

Classic plain-text double-entry accounting CLI: entries live in a text file and it produces balance, register, budget and other reports directly, with no database or hidden state, so agents can easily read and write ledgers, reconcile and report.

Official skill for the open-source, self-hosted ezBookkeeping app: lets agents log transactions and query records in natural language, and read accounts, categories, tags and exchange rates. Deploy ezBookkeeping first (Docker supported) and configure its URL and API token.

Self-hosted open-source bookkeeping app with a built-in MCP server: AI logs expenses in natural language and queries transactions, balances, categories, tags and exchange rates, keeping data on your server. Deploy via Docker or package, set enable_mcp, and create a token in security settings.

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.

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.

Automatically cuts silent or static parts from video and audio based on loudness or motion, with adjustable margins and speed changes, and exports project files for Premiere, DaVinci Resolve, Final Cut Pro and other editors. The repo ships an agent skill.

Lossy PNG compression CLI: converts images to 8-bit PNGs that keep transparency, usually 60-80% smaller, with batch processing and a quality range setting. Handy for slimming down web assets, slides and article images. Install via Homebrew on macOS; no account.

High-quality GIF encoder built on pngquant: turns video frames or PNG sequences into animations, using cross-frame palettes and temporal dithering for thousands of colors per frame. Can take video piped straight from ffmpeg.

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.

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.

Local FFmpeg video editing skill: ask in plain language to cut and join clips, remove silence, reframe to vertical, add subtitles, normalize loudness and export to TikTok, Reels or YouTube specs, fully offline with no API key. Needs ffmpeg and Python 3; also usable as an MCP.

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.

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.

WordPress's official CLI: install and update plugins and themes, manage posts and users, import and export content, run database search-replace and configure multisite from the terminal, without opening wp-admin. Requires PHP 7.2.24 or later.

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.

Plain-text double-entry accounting: track income, expenses, investments and time, generate balance sheets, income statements and budget reports in one command, with CSV import and JSON output for agent reconciliation and reporting. Converts to and from Beancount.

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.

Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.