Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Manage account auth, query usage, billing, and subscriptions. Use for: login, logout, check usage, view billing summary/breakdown, spending limit, free tier quota, Token Plan status, coding plan status, pay-as-you-go costs, call logs (which requests failed, 4xx/5xx errors, request latency, recent models called, request-id lookup), subscription orders, team seats. Skip for: model browsing, payment methods (use qwencloud-payment).
React Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/postprocessing, @react-three/rapier, or leva.
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset
Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels into `transformers` models
Set up VideoDB and write code against the VideoDB Python SDK. Use for "setup videodb" or "/videodb setup", when the user wants Python code, a script or a notebook rather than a chat answer, for bulk uploading or indexing a folder or library of media, for sandbox compute with open-weight models, and for any video task that video-search, video-clips, video-subtitles, video-edit and video-live do not cover. Screen recording belongs to video-live, AI-generated music, voiceover, images or video to video-edit, and dubbing to video-subtitles.
Pre-processes the repository by generating security-focused summaries (mantis-summary.md) for each directory to make planning and research more efficient. Use when starting a review campaign to map the codebase before threat modeling and planning. Don't use for executing code reviews, writing test scripts, or patching code.
Formulates a targeted defensive security reviewing plan based on the active threat model and historical learnings. Use when starting a security review campaign to map the codebase boundaries and generate a roadmap (workspace/plan.json). Don't use for executing code reviews, writing test scripts, or patching code.
Build, modify, or review Stripe Apps and extensions using the relevant documentation and reference guides. Use for custom Stripe Dashboard UI, stripe-app.yaml, @stripe/ui-extension-sdk, @stripe/extensibility-sdk, script extensions, extension interfaces, custom workflow actions, and apps that authenticate to Stripe or react to events. Also use when deciding whether a Stripe extension can support the user's billing or workflow requirements.
Integrate a raw customer agent repo with Veris end to end. Installs or verifies veris-cli, logs in, creates or reuses a Veris environment, analyzes the repo, generates or updates `.veris/veris.yaml`, `.veris/Dockerfile.sandbox`, `.veris/.dockerignore`, configures runtime env vars, and can finish with `veris env push`. Use when a repo has no Veris setup yet, or when an existing `.veris/` integration is stale and needs to be refreshed.
Use this skill when writing, reviewing, or optimizing Dockerfiles, even if the user just says their image is too large, their build is slow, or they need to harden a container for production. Covers multi-stage builds, layer caching, .dockerignore, non-root users, and image size optimization.
Assesses the production viability of findings, filtering out debug-only features and assertion traps. Use when findings have been validated and you need to confirm they are triggerable in production release builds (with assertions disabled). Don't use for writing reproduction scripts or patches.
Bazi Mingli (Bazi / Four Pillars of Destiny) divination skill. Use when users request birth chart analysis, fortune telling based on birth date/time, or Chinese astrology. Triggers on: 八字, 四柱, 命盤, 排盤, 算命, 命理, 生辰八字, 天干地支, 五行, 流年, 大運, bazi, four pillars, Chinese astrology, birth chart.
Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.
Prepare calibrated multi-camera data and train, evaluate, run inference, export, or quantize TAO Sparse4D 3D detection and tracking models. Includes 2D-to-3D geometric distillation with released LTT weights. Use for Sparse4D adaptation and temporal multi-camera perception workflows.
X/Twitter operations: topic selection, posts and long-form writing, account diagnostics, growth, and conversion. Use when the user mentions X operations, Twitter, writing posts, gaining followers, tweets, threads, or posting. Calibrate general advice using the user's own data and real experience.
Turn a LinkedIn Analytics export into an interactive dark-themed React dashboard plus a written strategic analysis with 5 data-backed content recommendations. Reads every sheet in the export, builds charts for engagement trend, follower growth, post performance scatter, day-of-week heatmap, and audience breakdown. Use this skill whenever the user says "analyse my linkedin", "linkedin analytics", "build my dashboard", "review my performance", or uploads a LinkedIn Analytics export file. Requires the user's LinkedIn Analytics export (xlsx) as input.
Four-phase framework for onboarding enterprise customers from contract to value realization. Use when implementing new enterprise customers, preventing churn during onboarding, or solving the adoption cliff that kills deals post-go-live. Includes the Week 4 ghosting pattern
Use this skill whenever the user wants to work with the Loops CLI from the terminal. This includes installing or updating the CLI, authenticating, storing and selecting API keys, validating credentials, and running commands for contacts, contact properties, lists, events, transactional email, campaigns, email messages, themes, components, and uploads. Trigger on phrases like "Loops CLI", "loops auth login", "loops campaigns create", "loops uploads create", "loops email-messages update", "loops themes list", "loops components get", "loops contacts create", "loops events send", "loops transactional send", "loops api-key", "loops agent-context", "brew install loops-so/tap/loops", or any time the user wants to use Loops from the shell instead of application code.
You MUST use this when verified development work is ready for an integration or handoff decision - merging, pushing, opening a pull request, preserving or discarding a branch, or cleaning up its workspace. Covers safe completion choices based on the actual Git state and verification evidence.
Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge/runbook discovery, security audits, dependency questions, and quick diagnostics—anything that needs a 5–30 second answer rather than a 5–8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.
Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv ID, Zotero item, or local PDF and wants a polished Markdown note with strong structure, evidence-based analysis, and figure placeholders.
Create a fixed full-screen WebGL laser background effect with a thin white-hot vertical core, restrained brand-colored halo, and soft smoky fog around the beam. Use only for laser background effects, not full page layout, copy, generic hero scenes, particles, or unrelated motion systems
Help users navigate tough feedback, performance conversations, and conflict. Use when someone needs to give hard feedback, have a performance conversation, fire someone, address conflict with a colleague, or deliver disappointing news like a denied promotion
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project.
Create minimal framed grid layouts with thin visible boundary lines, L-shaped corner brackets, subtle diagonal line texture, and strict section alignment. Use when asked for clean, neutral, precise, structured, editorial, technical, or guide-border web layouts.
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use when analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards. Also use when the user mentions "social media audit," "engagement rate," or "which platform performs best."
Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".
Setup and diagnostics for the AWS DevOps Agent MCP connection. Triggers when aws-devops-agent is missing from .mcp.json, when the connection is broken, or when the user says “set up devops agent” / “configure agent”. Does NOT trigger if the MCP is already connected and working.
Make platform abstraction decisions for the Amethyst KMP project. Guides when to abstract versus keep platform-specific, where to place source sets (commonMain, jvmAndroid, platform-specific), and expect/actual patterns. Covers primary targets (Android, JVM/Desktop, iOS—all mature), with web/wasm as possible future targets. Integrates with gradle-expert for dependency issues. Triggers on abstraction decisions (“should I share this?”), source set placement questions, expect/actual creation, build.gradle.kts work, incorrect placement detection, and KMP dependency suggestions.
Stream overview, CLI, and router for Chat, Video, Feeds, Moderation, and Agents. Use for any Stream task: building or integrating Stream into web, iOS, Android, React Native, Flutter, Unity, or Unreal apps, building voice or text AI agents with Stream Agents, querying Stream data, running getstream CLI commands, looking up Stream SDK docs, or migrating (from Sendbird, or Feeds v2 to v3). Routes to the right skill
Build and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, workspace panel, or file panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.
Reconstruct Blender models from supplied reference sheets, branding templates, texture atlases, orthographic front/side/back/top views, or mascot/logo art, where visual fidelity to the source matters more than a plausible generated object. Use when the user says the model must match a template, wireframe, texture pack, character sheet, mascot sheet, or brand asset exactly; also use after feedback like "does not look like the reference", "fit the texture 1:1", "wrong number of visible parts", or "compare against the template". Requires Blender MCP plus local Python with Pillow/OpenCV/numpy; pairs with blender-uv-texturing, wireframe-to-3d, blender-modeling, blender-materials, and blender-export.
Review existing UI against the project's design context, accessibility expectations, responsive behavior, interaction quality, and high-confidence production rules. Use for UI audits, design QA, frontend review, accessibility review, consistency checks, or requests to find and safely fix visual defects. Trigger for requests such as "review this UI", "audit this page", "find design issues", "check responsiveness", or "fix obvious UX problems". Use 21st-ui-build when the request is primarily to create new UI
Reveal marked-up text word by word as scroll progress advances, while preserving semantic inline links, emphasis, responsive line wrapping, and reduced-motion readability. Use for headlines, quotes, manifestos, product statements, onboarding messages, or editorial passages where scrolling should pace comprehension rather than simulate typing.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.