Tools

Community App Store localization skill (not from Apple): uses the asc CLI and an LLM to translate listing copy such as description, keywords, subtitle and release notes into many languages and sync it to App Store Connect. Needs asc set up and authorized; proofread before submitting.

Turns ComfyUI workflows into MCP tools with no code, covering generation and conversion across text, image, speech and video; works with local ComfyUI or RunningHub in the cloud. Start the server with uvx pixelle and configure an LLM first.

ComfyUI's official CLI: install and launch ComfyUI in one step, manage custom nodes and model downloads, and run image and video workflows, with --json output on every command for agents. Can also submit jobs to paid Comfy Cloud.

Sentry's official CLI: upload source maps and debug symbols, manage releases, and view issues and logs. Needs a Sentry account or self-hosted instance; a newer official CLI is replacing it, so this repo mainly gets bug fixes.

Lets agents read and write Google Sheets: list and search spreadsheets, read and batch-update cells, insert rows and columns, create and share sheets and build charts, with the option to enable only some tools to save context. Needs a Google Cloud service account or OAuth credentials.

Graph database MCP server from Neo4j Labs: reads the graph schema and runs read and write Cypher queries, with read-only mode, query timeouts and response token limits. Needs a Neo4j instance with the APOC plugin enabled.

Plotting skills for academic papers: bar, line, scatter, radar and other styles distilled from 9 real paper figures. Plot your own data in a chosen style as 300 dpi figures, or reproduce a matplotlib script from a paper screenshot. Needs local Python and matplotlib.

250+ human-reviewed legal skills from practicing lawyers, in-house counsel and academics, mostly US and EU law: compliance, GDPR, legal research, litigation, contract review and drafting, the EU AI Act. Install all or pick one; output is a draft for a lawyer to review.

Jina AI's official remote MCP: converts web pages and PDFs to Markdown, searches the web, arXiv, SSRN and images, and offers screenshots, reranking and semantic dedup. Reading tools work without a key (rate-limited); search and rerank need a Jina API key.

Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.

Drives desktop Excel on Windows: refresh Power Query, build pivot tables and charts, evaluate DAX and run VBA while keeping existing formulas and formatting, so finance and admin staff can automate existing reports. Needs Windows, Excel 2016+ and Node.js; no macOS.

Two parts: an API server on Kali Linux and an MCP bridge, letting agents run nmap, sqlmap, Metasploit, Hydra and other tools, or arbitrary terminal commands, for authorized penetration testing and CTFs. Available in Kali's official repositories.

Distilled Apple Human Interface Guidelines reference for iOS, iPadOS, macOS, tvOS, visionOS and watchOS, loading the right rules, component specs and measurements per task. Includes a /duo workflow for adapting an iOS app to iPhone Duo and an opt-in enforce mode with independent review.

Unofficial Yahoo Finance data tool with a yahoo-finance CLI, an MCP server and an agent skill: stock quotes, price history, financials, option chains and analyst ratings. Needs Node.js 22+, no API key. The API is unofficial and may change; for research only.

The Docling project's official MCP: converts PDF, Word, PowerPoint and more into structured documents with layout and table detection and OCR for scans, and lets agents build new documents paragraph by paragraph and export Markdown. Local mode needs Python and uv, or use your own Docling Serve.

Unbabel's machine-translation quality metric: comet-score rates translations per sentence and overall, XCOMET marks error spans and severity, and CometKiwi works without a reference. Good for spot-checking MT. Needs Python 3.8+; models download from Hugging Face, some need a license; GPU helps.

dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.

dbt Labs' official skills: write and edit dbt models, add unit tests and docs, set up the MetricFlow semantic layer, debug failed jobs, and handle dbt version upgrades and cross-platform migrations. Most skills need dbt installed and an existing project.

A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.

Stock analysis MCP for individual investors: quotes via yfinance, technical indicators such as RSI and MACD, screening strategies, a portfolio tracker and a trade journal. Core tools need no API key; backtesting and deep-research extensions are optional.

The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.

Official SonarSource server: connects to SonarQube Server or Cloud so agents can query code issues, quality gates, security hotspots and dependency risks, and analyze file contents directly. Needs a SonarQube token; Docker is the recommended way to run it.

Official Firecrawl skill: drives the Firecrawl CLI to search, scrape, map site URLs, batch-crawl, interact with pages and monitor changes, returning LLM-ready Markdown. Search and scrape have a rate-limited free tier; crawling and monitoring need an account or self-hosted instance.

Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.