TerminalSkil
1053 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
TerminalSkills3dsmax-rendering
Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkills3dsmax-scripting
Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkills3proxy
3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsa2a-protocol
Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a pro
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsab-test-setup
Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsably
Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST)
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsaccessibility-auditor
Audit web pages and components for WCAG 2.2 accessibility compliance. Use when a user asks to check accessibility, find a11y issues, audit for WCAG compliance, fix screen reader problems, check color contrast, ensure keyboard navigation works, or prepare for accessibility regulations like the European Accessibility Act or ADA.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsaceternity-ui
Aceternity UI is a collection of animated React components (3D cards, spotlight, background beams, moving borders, wavy backgrounds) built with Tailwind CSS and the motion library, installed into your project as source through the shadcn CLI. Use when someone asks for "animated hero section", "3D tilt card", "spotlight effect", "moving border button", "Aceternity component", or "glowing background" in a React or Next.js app.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsact
Runs GitHub Actions workflows on your own machine in Docker containers with act, so CI can be tested without pushing. Use when a user asks to test GitHub Actions workflows locally, debug a failing CI pipeline, pass secrets or inputs to a local run, or run workflows offline.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsactivepieces
Activepieces is an open-source workflow automation platform with a visual builder, 400+ integrations ("pieces"), code steps, branching, loops, and webhooks. Use when a user asks to self-host a Zapier or n8n alternative, automate workflows with a no-code builder, build a custom integration piece, or set up open-source business automation.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsactix-web
Actix Web is a high-performance async web framework for Rust. It provides type-safe extractors, routing, middleware and a built-in test harness for building fast, memory-safe HTTP APIs. Use when a user asks to build a Rust REST API, add an Actix handler or middleware, handle errors with ResponseError, share a database pool, or test an Actix service.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsad-campaign-optimization
Optimize paid advertising campaigns across Google Ads, Meta, TikTok, LinkedIn, and other platforms. Use when tasks involve bid optimization, audience targeting, creative testing, ROAS improvement, attribution modeling, budget allocation, campaign structure, retargeting strategies, lookalike audiences, or reducing customer acquisition cost. Covers multi-platform campaign management and creative performance analysis.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsadonisjs
Builds full-stack web applications with AdonisJS — a batteries-included Node.js framework with ORM, auth, validation, and mailer built-in. Use when someone asks to "build a web app with Node.js", "Laravel for Node.js", "full-stack Node framework", "AdonisJS", "batteries-included backend", or "Node.js with built-in ORM and auth". Covers Lucid ORM, auth (sessions, tokens, social), VineJS validation, Edge templates, and deployment.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsafter-effects
Automate Adobe After Effects workflows. Use when a user asks to script After Effects with ExtendScript or CEP, batch render compositions, automate motion graphics templates (MOGRTs), build render pipelines with aerender, create expressions for animations, manage project files programmatically, automate text and image replacements in templates, build data-driven motion graphics, integrate After Effects with CI/CD, or control AE via command line. Covers ExtendScript, CEP panels, expressions, aeren
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsag-ui
AG-UI (Agent-User Interaction Protocol) is an open, event-based protocol that streams an AI agent's text, tool calls, state and lifecycle events to a frontend over HTTP and Server-Sent Events. Use when the user wants to build an AG-UI server, connect an agent or framework (LangGraph, Mastra, CrewAI, Pydantic AI) to a React or custom UI, stream agent progress and state, or use CopilotKit with AG-UI.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsag2
AG2 (formerly AutoGen) is an open-source Python framework for building AI agents and multi-agent systems that use tools, human approval and structured conversations. Use it when you need agents that call functions, collaborate in a group chat, execute code, or when you are migrating AutoGen or pyautogen code to AG2 v1 or ag2-classic.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsagent-memory
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsagent-sandbox
Run AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsagent-swarm-orchestration
Coordinate multiple AI agents working together on complex tasks — routing, handoffs, consensus, memory sharing, and quality gates. Use when tasks involve building multi-agent systems, coordinating specialist agents in a pipeline, implementing agent-to-agent communication, designing swarm architectures, setting up agent orchestration frameworks, or building autonomous agent teams with supervision and quality control. Covers hierarchical, mesh, and pipeline topologies.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsagent-workflow-packager
Turns a workflow a team keeps repeating with a coding agent (a pasted prompt, runbook, review checklist or AGENTS.md section) into a spec-valid Agent Skill folder with SKILL.md, triggers, approval gates and a done check. Use when asked to "turn this into a skill", "package our release checklist as a skill" or "convert this runbook to SKILL.md".
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsagentscope
Build and trace AI agents in Python with AgentScope, an open-source agent framework with a ReAct loop, tools, middleware, team pipelines and OpenTelemetry tracing. Use when building production agents that need observability, debugging an agent's model and tool calls, capping token spend per reply, or coordinating a leader with specialist agents.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsai-content-detection
Detect AI-generated text using rule-based analysis, LLM-as-judge scoring, and optional external APIs. Use when: auditing content for AI authorship, academic integrity checks, editorial review, SEO content audits.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsai-content-monetization
Automate online content creation and monetization with AI — blog posts, videos, social media, affiliate marketing, and digital products. Use when: building passive income streams with AI, automating content marketing, scaling content production.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25
TerminalSkillsai-eval-ci
Run AI agent and LLM evaluations in CI/CD pipelines — automated quality gates that fail the build when AI output quality drops. Use when someone asks to "test my AI agent", "add evals to CI", "catch prompt regressions", "compare models", "evaluate LLM output quality", "set up AI quality gates", or "benchmark my agent before deploying". Covers eval frameworks (Cobalt, Promptfoo, Braintrust), LLM-as-judge scoring, threshold-based assertions, and GitHub Actions integration.
- installs
- 0
- GitHub stars
- 180
- Updated
- Oct 25