Tools

AI search optimization (AEO/GEO) skill from the marketingskills collection: checks whether ChatGPT, Perplexity and Google AI Overviews cite your content and suggests rewrites and structure that AI can extract and cite more easily, including llms.txt and structured data.

Writes B2B cold emails and multi-step follow-up sequences, refining subject lines, openers, body and calls to action so they feel personal and human. Suited to SDRs and founders doing outbound. From the marketingskills collection; no extra account needed.

Open-source crypto trading framework: download market data, backtest and optimize strategies, and paper trade from the CLI while agents iterate on strategies. Docker recommended; strategies need Python and live trading needs exchange API keys. Backtests don't guarantee returns.

General-purpose AI agent that runs on your machine, with a desktop app, CLI and API. Written in Rust, works with 15+ model providers and connects to 70+ extensions via MCP. Originally from Block, now part of the Linux Foundation's AAIF.

C/C++ port of OpenAI's Whisper speech recognition model that transcribes audio offline and outputs subtitles. Runs on CPU, with Apple Silicon and various GPU acceleration. Download a ggml-format model first.

Agile AI-driven development method: analyst, product manager, UX designer and other role skills turn ideas into product briefs, PRDs and PRFAQs, then split them into tasks for agents. Needs a skills-capable agent such as Claude Code, plus Node.js, Git and uv; then run bmad setup.

Lets agents control and inspect a real Chrome: read the console and network requests, take screenshots, and record performance traces with optimization suggestions. Maintained by the Chrome DevTools team.

Teaches agents to use the Chrome DevTools MCP efficiently: snapshot first to get element uids, screenshot only when needed, paginate and filter large output, inspect CSS and test browser extensions. Needs chrome-devtools-mcp configured; maintained by the Chrome DevTools team.

Official Chrome plugin bundling the Chrome DevTools MCP with debugging skills for accessibility, LCP and memory leaks: lets agents drive and inspect a real Chrome and analyze network requests, console logs and performance traces. Collects usage stats by default; can be disabled.

Guides agents to the right statistical method for research data: t-tests, ANOVA, chi-square, regression and Bayesian analysis, checking assumptions, computing effect sizes and power, and reporting results in APA format. Python-based (pingouin, statsmodels); by K-Dense.

Drafts, revises and reviews research manuscripts, tying every fact and number to verified evidence and covering reporting guidelines, authorship, AI disclosure and confidentiality; explicitly forbids fabricated citations or data. Includes offline check scripts; no API key needed.

Systematic literature reviews following PRISMA and similar standards: searches PubMed, arXiv, bioRxiv and other databases, verifies each citation's DOI, and outputs Markdown and PDF in APA, Nature or other styles. Main web search uses parallel-cli and needs a Parallel account.

Unified database lookup skill from K-Dense's scientific collection: reproducibly queries about 80 public database APIs such as PubChem, UniProt, ChEMBL, ClinicalTrials.gov and FRED, returning traceable results with endpoints, parameters and count checks. Some need API keys.

Teaches agents standard single-cell RNA-seq analysis with Scanpy: QC, normalization, PCA/UMAP, clustering, differential expression and plots, with ready-to-run pipeline scripts and guidance on converting Seurat and other R objects to h5ad. Needs Python 3.12+; by K-Dense.

Skill suite for the whole academic research workflow: deep research (including PRISMA systematic reviews), paper writing, multi-perspective peer review and revision, pausing for human approval at each stage, with citation and integrity checks. CC BY-NC, non-commercial only.

End-to-end academic paper plugin: deep research and literature review, writing, multi-perspective simulated peer review, revision and finalization, pausing for your approval at each stage, with built-in citation verification and integrity checks. Licensed CC BY-NC.

Astral's extremely fast Python linter and formatter written in Rust, replacing Flake8, isort and Black, with 900+ built-in rules and auto-fix.

Package manager for macOS and Linux: agents can brew install CLI tools and desktop apps (casks), or use brew bundle to restore a dev environment from a Brewfile.

HashiCorp's infrastructure-as-code tool: manage multi-cloud and SaaS resources with declarative config, previewing changes with plan before running apply. Providers cover all major clouds. Licensed under BSL 1.1.

Terminal multiplexer: run multiple sessions and panes in one terminal, with processes surviving disconnects. Agents use it to host long-running tasks and drive interactive programs, and many parallel multi-agent session tools build on it.

From Obsidian CEO Steph Ango (kepano): teaches agents to write Obsidian-flavored Markdown, Bases and Canvas files and work with vaults through the Obsidian CLI, plus skills like web page content extraction. Also installable into Codex and other agents via npx skills.

Teaches agents to read and write Obsidian vaults: Obsidian-flavored Markdown, Bases data views, JSON Canvas and the Obsidian CLI, plus Defuddle web content extraction and Knap template rendering. Maintained by Obsidian CEO kepano.

AI pair programming in your terminal: builds a repo map of the whole codebase, auto-commits changes to git, works with Claude, DeepSeek, OpenAI and almost any other model including local ones, and can run lint and tests after edits.

Microsoft's open-source AI quant investment research platform: the qrun command runs dataset building, model training, backtesting and evaluation from a YAML config, with many benchmark models. The official dataset is paused, so prepare market data per the README first.