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Connects to the Arize Phoenix observability platform so agents can query LLM traces and sessions, manage prompts, browse datasets and read experiment evaluation results. Maintained by Arize; needs a self-hosted or cloud Phoenix instance.

MySQL terminal client with smart autocompletion and syntax highlighting, also compatible with MariaDB and TiDB. Supports --execute and batch mode with CSV or table output, so agents can run SQL directly.

Scans files and directories for personal data such as names, emails and credit card numbers using Presidio Analyzer, with configurable entity types, confidence thresholds and ignore rules. Needs Python 3.10+ and a spaCy language model.

Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+.

Google's official dependency vulnerability scanner: parses project lockfiles and container images, checks them against the OSV.dev database to find affected dependencies, and can suggest upgrade fixes (experimental).

OpenAI's official security CLI and TypeScript SDK: scans codebases to find, validate and fix security vulnerabilities, and can draft a SECURITY.md policy. Needs Node.js 22.13+, Python 3.10+, and a ChatGPT sign-in or API key.

Lets agents work with the Hugging Face Hub through the hf CLI: search and download models and datasets, manage repos and Spaces, and run training and evaluation jobs on cloud GPUs, with more workflow skills installable as needed. Maintained by Hugging Face.

Teaches agents the Hugging Face Hub CLI hf: search and download models, manage datasets, Spaces, Buckets and repos, and run Jobs and inference endpoints. The skill content is generated from your local CLI, so install hf first. Maintained by Hugging Face.

Hugging Face's official skills: manage Hub models and datasets with the hf CLI, fine-tune language and vision models, run model evaluations, and build Gradio apps deployed to Spaces. Needs an HF account; cloud training on HF Jobs requires a paid plan.

Lets agents fine-tune language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, supporting SFT, DPO, GRPO and reward models, and convert results to GGUF for local use. Requires an HF Pro or higher paid plan. Maintained by Hugging Face.

The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests.

Following Sahil Lavingia, author of The Minimalist Entrepreneur, helps founders define 3 to 5 concrete company values with real trade-offs before hiring, with example stories and counterexamples, and explains how to use them in hiring and daily work. Prompt-only; no account needed.

Reads the exact position of every character, line and table cell in digital PDFs: the CLI exports layout-preserving text or CSV/JSON details, and the Python API extracts tables and form fields, ideal for invoices, statements and reports. Runs locally with Python; scans need OCR first.

Universal psql-style SQL command line: one tool to connect to PostgreSQL, MySQL, SQLite, SQL Server, Oracle and dozens of other SQL and NoSQL databases, with support for copying data between databases.

Processes CSV, TSV, JSON and other structured data like awk, sed, cut, join and sort, but by field name, for cleaning, aggregation, format conversion and pretty-printing. The command is mlr; written in Go with no runtime dependencies.

Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider.

Linter and formatter for 20+ SQL dialects that auto-fixes most issues and handles Jinja templating and dbt projects (dbt needs a plugin), suited to warehouse code review and CI.

Anthropic's official legal plugin marketplace: 13 plugins covering commercial contracts, privacy, product counsel, M&A, employment, regulatory, AI governance, litigation and IP, plus plugins for law school clinics and law students. All output is a draft for attorney review.

Anthropic's official employment law plugin: reviews hiring and termination risk by jurisdiction, classifies workers, tracks leave deadlines, manages internal investigations, and drafts policies with state supplements. Focused on US state law; output needs attorney review.

Privacy compliance plugin: decides whether processing activities need a PIA or DPIA, generates privacy impact assessments, reviews DPAs from the controller or processor side, and drafts DSAR responses within statutory deadlines. Official from Anthropic.

Drafts employee policies such as remote work, parental leave and PTO, generates state or country supplements where rules differ, and flags laws in flux. Mostly US states; needs web access for regulations and is best installed with the employment-legal plugin. Lawyer review required. By Anthropic.

Pre-termination check for high-risk factors (recent complaints, protected leave, discrimination or retaliation, thin documentation), reviews severance and separation agreements, and looks up state final-pay deadlines. US-focused; needs web or a legal database. Lawyer review required. By Anthropic.

Answers wage and hour questions for a specific state or country, such as worker classification, overtime, meal and rest breaks, leave and final pay, citing the law for each point and flagging when judgment is needed. US-focused; needs web or a legal database. Lawyer review required. By Anthropic.

When revising an employee handbook, compares proposed changes clause by clause with the current version, finds knock-on effects (such as PTO changes affecting final pay) and state supplement changes, and flags risks of cutting existing benefits. US-focused; needs legal review. By Anthropic.