Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
General-purpose digital immortality framework: distills a digital twin of anyone from multi-platform data such as chat logs, social media and documents — supports 7 role templates (yourself, colleague, mentor, family member, partner/ex, friend, public figure) and connects to 12+ data platforms at home and abroad.
Reduces container attack surface by building application images on Google distroless base images that ship only the application runtime - no shell, package manager, or OS utilities - using multi-stage build patterns plus debugging and scanning techniques adapted to distroless. Use when hardening container images, cutting attack surface in a container architecture, or answering an assessment finding about bloated base images. Keywords: distroless, multi-stage build, no shell, nonroot tag, debug image, scratch, attack surface. Do not use for scanning an image for known CVEs - use scanning-docker-images-with-trivy.
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Use this skill to drive Jetpack Compose UI from tests with non-touch input — performMouseInput (click, rightClick, doubleClick, tripleClick, longClick, animateMoveTo, dragAndDrop, smoothScroll, enter / exit, press / release / scroll), performKeyInput (keyDown, keyUp, isKeyDown, modifier-state vals isCtrlDown / isShiftDown / isAltDown / isMetaDown / isFnDown / isCapsLockOn / isNumLockOn / isScrollLockOn, helpers pressKey, withKeyDown, withKeysDown, withKeyToggled, withKeysToggled), performKeyPress for direct KeyEvent injection, and performMultiModalInput for hover-then-click flows. Covers MouseButton (Primary, Secondary, Tertiary), ScrollWheel (Horizontal, Vertical), and the repeat-key behaviour driven by advanceEventTime. Use when the developer asks "how do I right-click in a Compose test", "test a Ctrl+S shortcut", "send a keyboard shortcut", "simulate hover", "test a tooltip", "scroll the mouse wheel", or "drag and drop with a mouse" on desktop or Compose Multiplatform.
Use this when working on the VS Code integrated browser ("browserView") to understand its architecture and mental model. Covers the embedded Chromium browser, its editor tab, navigation, overlay/layout, sessions, and agent browser tools under `src/vs/platform/browserView` and `src/vs/workbench/contrib/browserView`.
Use this skill when working on an Expo or React Native app that uses, adds, debugs, or migrates to Convex. It covers `npx convex dev`, `EXPO_PUBLIC_CONVEX_URL` and EAS envs, `ConvexReactClient` and provider wiring in `expo-router` or `App.tsx`, generated `api` imports, schema and index design, queries, mutations, actions, auth (Clerk, Convex Auth, JWT or OIDC), file uploads from Expo URIs, pagination, migrations, and common `useQuery` or `_generated` failures. Do not use it for generic Expo UI or navigation work, or for non-Expo Convex frontends unless the task is specifically about adapting them to this mobile stack.
Tier-1 live read-only introspection. Connects to the running database through a DB MCP server's read-class tools (preferred) or a least-privilege read-only connection string, reads catalogs only (no table data, no writes), and upgrades affected findings to confidence established. Enforces the read-only contract; when no live access is available it marks the dependent checks needs_api — never a silent pass. Invoked by db-orchestrator and the auditors when a check needs runtime truth.
Operate the `kb` CLI to build and maintain topic-based Karpathy-style knowledge bases: gated ingestion, decision-model classification, linking, retrieval and review, wiki compilation, lint-and-heal, OKF bundles, QMD search, and codebase inspection. Use for kb commands and KB vault workflows; not for general code review, Go builds, or application code.
Add a new tracked project (or a new category) to the mmontes11/knowledge-base `projects/` section, or update an existing project during a maintenance run. Create the fixed set of standard documents (README, api-reference, releases, features, optional architecture) populated and attributed from upstream, keep frontmatter fresh, register the project in the Tracked projects table, and push to main. Use whenever the user wants to add, track, or refresh a project in the knowledge base — "add <repo> to the knowledge base", "start tracking <project>", "update the <project> entry", "run the maintenance for <project>", "add a new category <x>" — even if they only name the upstream repository.
Answer questions about what the mmontes11/knowledge-base knows — a tracked project (what it is, its API surface, its latest release, its features, its architecture), a book in `books/`, or a foundational topic in `foundation/` — by reading the root README's index tables to locate the right folder and then reading the relevant file. Use whenever the user asks something the knowledge base could hold and wants the answer grounded in it — "what does <project> do", "what's the latest release of <project>", "how does <project>'s API work", "which projects does the knowledge base track", "what does the knowledge base say about <topic>", "summarize chapter N of <book>" — rather than from general knowledge.
Fetch Feishu/Lark documents or ordinary web pages and save them locally; it can also edit Feishu documents the user has permission for and run a single web search using a logged-in browser. Use this skill when the user asks to download, export, fetch, or write to Feishu documents, or to search online for materials/reference links, even if larksnap is not mentioned. Under the hood it bridges a logged-in larksnap browser extension through the skill's own daemon; arXiv uses a separate script.
Research posters in LaTeX using beamerposter, tikzposter, or baposter. Layout, typography, color schemes, figure integration, accessibility, and QA for conferences. Includes templates. For figure generation use matplotlib-scientific-plotting or plotly-interactive-plots.
Use this skill when the user says "optimize the opening", "how should I write the opening", "help me write a hook", or "the opening isn't good", or provides a video script whose opening needs improvement. First perform a content-quality gatekeeping (whether there is enough material) and a vision diagnosis (whether it starts from the audience's vision), then generate 10-15 opening options in three parallel paths, with Top 3 recommendations and an explanation of viral templates. Should not trigger for: generating a full script (use li-writer), generating a cover title (use li-cover). Use when the user wants to "optimize opening", "write hook", "improve intro", or provides a script needing a better opening.
This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use shell script templates for system administration
Lua best practices for FiveM resources built on ox_lib, the way Overextended structures its own resources. Use when reading or editing any .lua file or fxmanifest.lua, or when the user asks when to use require, lib.load or lib.loadJson, how to split a resource into modules, where config goes, or how to use cache, lib.onCache, lib.points, lib.callback or locales.
Explanation skill for the traffic allocation logic of the lyt series of cross-border e-commerce. Only handles traffic mechanism questions related to cross-border e-commerce, TikTok Shop, e-commerce platforms, shops, products, product cards, search, recommendation, advertising, content, and creators; non-business and non-e-commerce questions must be declined. Used when users ask questions such as "why does my shop get no traffic", "why does my product get no impressions", "why doesn't the platform give traffic", "how is traffic allocated", "why does no one view a new shop", "why do others get traffic and I don't", helping users fill in knowledge about traffic allocation related to product card search, short video recommendation, ads/GMV Max, cold start, and the conversion funnel. This skill only explains logic, does not perform specific diagnostics, and does not ask for additional fields. Triggers: /lyt-traffic-logic, /流量逻辑, /流量分配, /没流量逻辑
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.
Comprehensive marketing audit and analysis skill. Integrates all marketing-related skills. When to use: (1) auditing overall marketing (2) full pre-launch check (3) exploring growth strategy (4) competitive analysis (5) drafting a comprehensive improvement plan. Example triggers: "thoroughly investigate and review our marketing," "marketing audit," "pre-launch check," "think about growth strategy," "marketing improvement plan."
Publish, delete and read your own posts (toots) on any Mastodon instance via the Mastodon REST API. Use when the user wants to post a toot to their Mastodon / fediverse account, cross-post an article as a short dev-focused post, delete a toot, or list their own recent posts with engagement stats (boosts, favourites, replies).
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.
Display 3-D image volumes, medical image volumes, surface meshes, and annotations for 3-D image processing. Use when displaying 3-D images or isosurfaces with volshow, creating volume viewers with viewer3d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming volumetric data, or building apps with volume display.
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
Persistent local memory for OpenClaw agents. Use when users say: - "install memos" - "install MemOS" - "setup memory" - "add memory plugin" - "openclaw memory" - "memos onboarding" - "memory not working" - "configure memory" - "enable memory" - "upgrade MemOS" - "update memory plugin"
Enhanced multi-step migration for Motoko actors using a migrations/ directory and --enhanced-migration flag. Use when upgrading canister state across multiple deployments, writing migration files, changing actor field types, or managing a migration chain. For a single one-shot migration, use migrating-motoko instead.
This skill should be used when the user asks to work with Modal.com persistence or shared state. PROACTIVELY activate for: Modal Volumes, vol.commit, Dict, Queue, CloudBucketMount, S3 or GCS mounts, secret-backed storage credentials, model cache persistence, dataset staging, shared queues, distributed state, volume consistency, and storage troubleshooting. Provides: storage primitive selection matrix, commit/consistency patterns, mount configuration recipes, and troubleshooting checklists.
Build reusable activation models — an activation-rate metric and a per-user/per-account activated flag — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to define, model, or measure activation, the "aha moment", onboarding success, or which early actions predict a user sticking around. The core idea this skill enforces: activation is NOT a single assumed event — it is a retention-validated combination of early actions, chosen by balancing reach (enough users hit it) against predictive power (those who hit it retain much better). Covers finding candidate actions, validating them against retention lift, count thresholds and action combinations, per-product and B2B group-level activation, and modeling the winning definition as a durable activated-flag + activation-rate model. Read modeling-warehouse-foundations first; composes modeling-product-usage-metrics for the retention validation.
Multi-Omics Factor Analysis v2 (MOFA+) with mofapy2. Jointly decompose omics layers (scRNA, ATAC, proteomics, methylation) into latent factors capturing major variation. Multi-group designs. AnnData views → MOFA object → train → variance explained → correlate factors with metadata → visualize/cluster → enrich top loadings.
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.