TerminalSkil
1053 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
TerminalSkillsmetabase
Metabase is an open-source business intelligence tool for creating dashboards and visualizations. Learn Docker deployment, database connections, creating questions and dashboards, embedding analytics, and API usage.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmetasploit
Exploit vulnerabilities with Metasploit Framework. Use when a user asks to exploit known CVEs, generate payloads, perform post-exploitation, pivot through networks, or build exploit chains in penetration tests.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmicrosoft-agent-framework
Microsoft Agent Framework is an open-source framework for building AI agents and multi-agent workflows in Python and .NET, the successor to Semantic Kernel agents and AutoGen. Use this skill when a user asks to build an agent with tools, run sequential, concurrent, handoff or group-chat orchestrations, host agents on Microsoft Foundry or OpenAI, or migrate from Semantic Kernel agents (AgentGroupChat) to Agent Framework.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmicrosoft-teams
Build bots, automate workflows, and manage Microsoft Teams programmatically via Microsoft Graph API. Use when someone asks to "build a Teams bot", "automate Teams messages", "create Teams channels", "integrate with Teams", "Teams webhook", "send Teams notifications", "manage Teams meetings", or "Teams app development". Covers Workflows webhooks (the replacement for discontinued Office 365 connectors), Graph API for channels and meetings, and bots with the Teams SDK.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmicrosoft-word
Create, edit, and manipulate Word documents (.docx) programmatically. Use when someone asks to "generate a Word document", "create a report in docx", "mail merge", "fill Word template", "extract text from Word", "convert markdown to Word", "add tables to Word", or "automate document generation". Covers python-docx for file manipulation, docxtpl for templates, and Microsoft Graph API for cloud documents.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmikro-orm
MikroORM is a TypeScript ORM for Node.js built on the Data Mapper, Unit of Work, and Identity Map patterns, supporting PostgreSQL, MySQL, MariaDB, SQLite, and MongoDB. Use when a user asks to define decorator-based entities, set up automatic change tracking and batched flushes, write query-builder queries, generate or run migrations, seed a database, or build a DDD-friendly data layer in TypeScript.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmineru
Converts PDFs, scanned pages, images and Office files into Markdown or structured JSON with MinerU, keeping headings, reading order, tables and formulas. Use when a user asks to turn a complex or scanned PDF into Markdown, extract tables from a PDF report, OCR a document for an LLM, batch-convert a folder of papers or reports, or let an agent read a long document page by page with citable locators. Runs locally on CPU or GPU; cloud parsing only when explicitly requested.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsminimalist-review
Reviews a business or product plan against simplicity and profitability criteria and returns a written verdict: the plan restated in one sentence, an inventory of its parts tagged keep, replace, defer or drop, a ten-check scorecard, break-even, payback and worst-case figures, the smallest version worth trying, and the conditions for stopping. Use when someone asks "review my business plan", "is this plan too complicated", "what can we cut from the roadmap", "should we build this or start smaller
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsminimind
MiniMind is an open-source PyTorch project that trains a 64M-parameter GPT-style language model from scratch on one GPU in about two hours. Use when a user wants to learn how LLMs work by building one, pretrain and fine-tune a tiny model, run LoRA, DPO or PPO/GRPO experiments on a small model, or serve a MiniMind checkpoint through an OpenAI-compatible API.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsminio
Self-host S3-compatible object storage with MinIO. Use when a user asks to set up self-hosted object storage, create an S3-compatible API on their own server, store files without AWS, set up a private cloud storage, manage buckets and objects, configure storage for backups, host static assets, or replace AWS S3 with a self-hosted solution. Covers single-node deployment from source, bucket management, presigned URLs, lifecycle policies, and integration with apps via the S3 API.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmintlify
Mintlify is a hosted documentation platform that turns MDX files and a docs.json config in a Git repository into a developer docs site with built-in search, an API playground generated from OpenAPI, and an AI assistant. Use this skill to create a documentation site, set up the mint CLI, write MDX pages with components, generate API reference pages from an OpenAPI spec, preview locally, validate and deploy; also to migrate an old mint.json project.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmise
Manages per-project tool versions (Node.js, Python, Go, Rust, Ruby and hundreds more), environment variables and tasks from one mise.toml file, as a single binary that replaces nvm, pyenv, rbenv and asdf. Use when a user asks to pin Node.js/Python/Go versions per project, replace nvm/pyenv/asdf, share tool requirements with a team or CI, lock resolved versions, or define project tasks.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmistral-api
Mistral AI API gives access to Mistral's chat, code, embedding, OCR and speech models from a Paris-based provider, with an optional EU regional endpoint. Use when you need chat completions, streaming, function calling, JSON output, Codestral fill-in-the-middle, embeddings, or EU-region inference.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmixpanel
Mixpanel is a product analytics service for tracking events, building funnels and retention reports, and segmenting users. Use when a user asks to add Mixpanel tracking to a web app, send server-side events from Node.js or Python, identify users, set up company-level group analytics, import historical events, or pull data out with the Query and Export APIs.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmkdocs
MkDocs is a Python static site generator that builds a documentation site from Markdown files and one mkdocs.yml, most often with the Material for MkDocs theme. Use when a user asks to create project documentation, configure MkDocs themes, add search and navigation, customize Markdown extensions, deploy docs to GitHub Pages, version docs with mike, or decide between MkDocs 1.x, Material for MkDocs and its successor Zensical.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmlflow
MLflow is an open-source platform for tracking machine-learning experiments, versioning models in a registry and serving them as a REST API. Use it when the user wants to log parameters, metrics and artifacts, compare runs, register a model with aliases like "production", set up a shared tracking server, or serve a trained model locally. Covers MLflow 3 (name= in logmodel, signatures, skops serialization for scikit-learn).
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmlx-vlm
Runs and fine-tunes vision language models (image, audio and video plus text) locally on Apple Silicon Macs with MLX, from a CLI, a Python API or an OpenAI-compatible server. Use when installing mlx-vlm, describing or extracting text from images with a local model, batch processing images, serving a local VLM over HTTP, LoRA fine-tuning a vision model, or comparing a local VLM to cloud vision APIs.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmobx
MobX is a state management library for JavaScript and React that makes state observable, so computed values and components update automatically when it changes. Use when a user asks to add MobX to a React app, create a store with makeAutoObservable, wrap components in observer, write computed values, actions, reactions or flow, fix a MobX component that does not re-render, or migrate from MobX 6 to MobX 7.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmockoon
Mockoon runs mock REST APIs on your machine from a JSON environment file: a desktop app designs them and a CLI serves them without a GUI. Use when the user wants to fake a backend for frontend work, mock an OpenAPI spec, return dynamic responses with templating and rules, or start a mock server in CI or Docker. Also use when the user mentions "mockoon," "API mocking," "mock server," "mock API," "OpenAPI mock," or "local API simulation." For programmatic HTTP mocking, see wiremock.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmodal
Run Python functions on cloud GPUs and CPUs with Modal, a serverless platform that builds containers from Python code, scales to zero and bills per second. Use when a user asks to "run this on a GPU", "deploy a model endpoint", "serve an LLM with vLLM", "run a nightly training job", "fan out a batch job across many containers", or "cache model weights in a volume" without managing servers or Kubernetes.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmojo
Mojo is a compiled programming language from Modular with Python-like syntax, static types, SIMD vectors and direct Python interop. Use it when the user asks to write or run Mojo code, install Mojo, speed up a hot Python loop, use SIMD or vectorize, call NumPy from Mojo, or migrate old Mojo code that uses let, fn or DTypePointer.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmongodb
Assists with designing document schemas, building aggregation pipelines, managing indexes, and operating MongoDB clusters. Use when working with flexible schemas, nested documents, horizontal scaling, Atlas Search, or vector search for AI applications. Trigger words: mongodb, mongo, document database, aggregation, atlas, nosql.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmongoose
Mongoose is an object modeling library (ODM) for MongoDB in Node.js: schemas declare fields, validation, and defaults, and models built from them run typed queries, middleware hooks, population, and transactions. Use when a user asks to define a Mongoose schema or model, validate MongoDB documents, add pre/post hooks, populate references, run a transaction, type models in TypeScript, or migrate code to Mongoose 9.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsmonorepo-manager
Manage dependencies, workspace configurations, and cross-package relationships in monorepos using npm workspaces, pnpm, Yarn, Turborepo, or Nx. Use when syncing dependency versions across packages, resolving version conflicts, analyzing the dependency graph, or setting up build orchestration. Trigger words: monorepo, workspace, dependency sync, version conflict, turborepo, nx, pnpm workspace, cross-package, internal dependency.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25