Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Write original practice papers for a specific written examination, grounded in its researched syllabus, format and marking scheme, with a separate explained answer key, saved as HTML practice sets under `.learning/`; optionally mark attempts, diagnose gaps and keep the examination section of the subject's shared study plan. Use when someone prepares for a named or supplied written examination; skip oral or practical examinations and ordinary exercises.
Manage DAG execution lifecycles including start, stop, pause, resume, and cleanup. Activate on 'execution lifecycle', 'stop execution', 'abort DAG', 'graceful shutdown', 'kill process'. NOT for cost estimation, DAG building, or skill selection.
Explain a database schema, model, or a single finding in plain language, with a paradigm-aware diagram — what the tables/collections/keyspaces are, how they relate, and where the data lives. Read-only; teaches, does not change anything. Use when the user asks to explain, describe, walk through, draw, or diagram a schema, a data model, a relationship, or what a specific audit finding means.
Semi-automated fact-checking, source credibility evaluation, misinformation detection, prebunking, and evidence-ledger based claim verification. Use when a user asks to verify a claim, article, social post, screenshot, URL, quote, data point, compare sources, detect manipulation, evaluate source reliability, or generate an HTML fact-check card/share-safe correction. Supports text, URLs, screenshots/images, two-source comparison, and topic-level prebunking in Bulgarian, English, Russian, EU policy, health, science, and geopolitical contexts. Trigger phrases: "is this true?", "is this fake?", "fact check this", "compare these sources", "проверка на факти", "истина ли е", "дезинформация ли е", "сравни тези източници".
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
Use this skill ONLY when the user EXPLICITLY requests filing an upstream issue for MoviePilot core, frontend, or an installed plugin, for example "反馈 issue", "提 issue", "报 bug", "给 MP 提 issue", "让上游修一下", "提交错误报告", "提问题", "提需求", "功能请求", or English "file an issue / report a bug / open an upstream issue / feature request". A bare problem report is not enough: diagnose locally first. This skill uses its own scripts under `scripts/`; it does not add or call dedicated Agent tools for collect / prepare / submit.
Generate mindmaps with Felo Mindmap API in Claude Code. Use when users ask to create/make/generate mindmaps, mind maps, or thinking maps, or when explicit commands like /felo-mindmap are used. Handles API key check, mindmap creation with various layouts, and final mindmap_url output.
File uploads, streaming, storage abstractions, and secure file handling patterns for ASP.NET Core Razor Pages applications. Use when implementing secure file uploads in Razor Pages, streaming large files, or creating storage abstractions for file operations.
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
Multi-framework frontend development. Frameworks: React 18+ (Suspense, hooks, TanStack), Vue 3 (Composition API, Pinia, Nuxt), Svelte 5 (Runes, SvelteKit), Angular (Signals, standalone). Common: TypeScript, state management, routing, data fetching, performance optimization, component patterns. Actions: create, build, implement, style, optimize, refactor components/pages/features. Keywords: React, Vue, Svelte, Angular, component, TypeScript, hooks, Composition API, runes, signals, useSuspenseQuery, Pinia, stores, state management, routing, lazy loading, Suspense, performance, bundle size, code splitting, reactivity, props, events. Use when: creating components in any framework, building pages, fetching data, implementing routing, state management, optimizing performance, organizing frontend code, choosing between frameworks.
Building interactive experiences that engage, challenge, and delight playersUse when "game, gamedev, game development, phaser, unity, unreal, godot, gameplay, game loop, sprites, collision, physics, player, level, tilemap, games, gamedev, interactive, gameplay, physics, engines, performance, player-experience" mentioned.
Analyzes an initial business requirements document for gaps, ambiguities, and missing information. Generates gap-analysis-worksheet.md with structured requirement/question/answer blocks grouped by category — designed to be completed by a business analyst before formal requirements gathering begins.
Create, update, or validate a game's Game Design Document. Use when the user wants help producing, editing, or validating a GDD — the primary design artifact covering pillars, mechanics, progression, levels, art, audio, and development epics.
Spatial data processing for geological modelling with GemPy. Use when the agent needs to: (1) Prepare spatial data for GemPy models, (2) Extract interface points from geological maps, (3) Process orientations/dip measurements, (4) Sample DEMs along profiles or cross-sections, (5) Convert between GIS formats and GemPy inputs, (6) Clip/transform vector/raster data for modeling, (7) Create model extents from geospatial bounds.
AI prompts for generating WeChat official account article cover images. Intelligently analyzes the article title and content, extracts the core value and visual theme, and generates professional prompts suitable for AI drawing tools such as Jimeng. Supports reading article content from context to ensure the cover closely matches the article topic. Use this skill when the user needs to generate a cover for a WeChat official account article, create cover image prompts, or illustrate an article.
Use this skill when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
Retrieve active prediction-market contracts (Polymarket) with live yes-price probabilities, volume, and close dates, filterable by category or keyword. Use when the user asks what the market odds are on a geopolitical, economic, or election outcome.
AI-powered job search assistant. Scan job listings, track applications, maintain dream company lists, and generate tailored resumes and cover letters. Use when the user wants to find jobs, run a job scan, set up job search, track applications, or prepare application materials.
Open a GitHub pull request (draft or ready for review) from the current branch using the gh CLI. Use this whenever the user wants to open, create, raise, submit, or "ship" a PR / pull request, or says things like "open a PR", "PR this branch", "put this up for review", or invokes /gh-pr — even when they don't specify the base branch, title, or description. Handles pushing the branch, writing the title and body from the actual diff, respecting the repo's PR template, linking issues, and dropping to --draft for unfinished work.
Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.
Installs git-flow-next (the actively maintained Tower / gittower fork documented at https://git-flow.sh/) via mise's aqua backend, initializes the classic Gitflow preset, configures rebase as the upstream merge strategy for feature branches with a contributor-side interactive rebase that collapses the branch into a single commit with a hand-written message before finish, and runs the feature / release / hotfix flow with `git flow …` commands.
Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.
Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance. Essential for variant pathogenicity interpretation, rare disease genetics, and identifying loss-of-function intolerant genes.
God (Creating People): Enter any person's name to automatically research them, distill their cognitive operating system, and generate an executable person Skill. It distills not only “how this person thinks,” but “who this person is”—their mental models, decision structures, ways of creating, performing, or competing, values, intellectual lineage, and the wounds, obsessions, relationship with death, and wagers on meaning that drive it all. Supports both web research and local materials. Works with people in any field—thinkers, entrepreneurs, scientists, artists, musicians, athletes, actors, influencers, chefs, astronauts, religious leaders, revolutionaries… Anyone can be distilled. Trigger phrases: “distill [someone’s] person,” “god skill,” “create an X skill,” “God creates people X,” “what kind of person is X,” “help me distill X,” “distill X,” “X’s god skill”
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.