Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").
When the user wants to optimize YouTube videos for search, create video descriptions, or improve channel visibility. Also use when the user mentions "YouTube SEO," "YouTube description," "YouTube tags," "YouTube thumbnail," "YouTube title," "YouTube channel," or "video SEO." For YouTube ads, use youtube-ads.
Create, design, edit, validate, and export elegant Word (docx), editable PDF, fillable AcroForm PDF, and Adobe InDesign (IDML) documents with K2F. Use when creating aesthetic Word, fillable PDF, AcroForm, IDML, or InDesign documents with AI agents, such as menus, certificates, planners, invitations, or worksheets and much more. K2F is a mature file format designed for AI agents to design and edit elegant aesthetic documents precisely and effortlessly. It has a rich ecosystem.
Use when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6. Produces a hybrid (protocol + browser) test suite, SLO-backed thresholds, a load-generator monitor sidecar, and a Grafana-side investigation playbook for backends the user owns. Triggers on "perf test my site", "performance test my site", "load test this URL", "stress test my web app", "I want to load test [URL]", "set up k6 against my website", "write a k6 suite for [site]", "see if my site handles N concurrent users", or "how does my site perform under traffic". Use this skill whenever the user mentions k6, load testing, stress testing, performance testing, or wants to validate a website under traffic — even if they don't explicitly use the word "test" or ask for the specific outputs this skill produces. This skill is for a full multi-test suite across several workflows; for a single browser test — functional OR a browser load test measuring Web Vitals for one journey — use k6-browser-test.
Validates custom dotnet new templates for correctness before publishing. Catches missing fields, parameter bugs, shortName conflicts, constraint issues, and common authoring mistakes that cause templates to fail silently. USE FOR: checking template.json files for errors before publishing or testing, diagnosing why a template doesn't appear after installation, reviewing template parameter definitions for type mismatches and missing defaults, finding shortName conflicts with dotnet CLI commands, validating post-action and constraint configuration. DO NOT USE FOR: finding or using existing templates (use template-discovery), creating projects from templates (use template-instantiation), creating templates from existing projects (use template-authoring).
Build and iterate on playable Three.js game systems: starter scaffold, architecture, design briefs, core loops, level and encounter design, entities, input, camera, collision and physics, scoring, objectives, and game feel. Use for first playable slices, new Vite/TypeScript/Three.js setups, level/arena/track/wave/hole/puzzle design, combat encounters, difficulty tuning, and juice
Use this skill when the user asks "who has access", "audit permissions", "check user roles", "list API keys", "review access controls", "rotate API keys", "create API key", "RUM API key", "delete expired keys", "send data keys", "IP allowlist", "IP access restrictions", "check IP whitelist", "add user", "deactivate user", "manage team groups", "user permissions", "role-based access", "manage scopes", "system roles", "API key admin", "team member keys", "group membership", or wants to audit, manage, or configure access controls for a Coralogix account.
QA a PR's UI change in a real browser through the configured browser-provider descriptor — first ensuring the PR has been reviewed (invoking om-auto-review-pr when it has not), then capturing screenshots and a pass/fail report, and optionally posting tracker evidence or self-QA labels without modifying source. Also runs in a local, tracker-less mode against the current worktree.
CRITICAL: Use for ownership/borrow/lifetime issues. Triggers: E0382, E0597, E0506, E0507, E0515, E0716, E0106, value moved, borrowed value does not live long enough, cannot move out of, use of moved value, ownership, borrow, lifetime, 'a, 'static, move, clone, Copy, 所有权, 借用, 生命周期
Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when the user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.
Review a diff, branch, or PR against correctness, security, breaking-change, and quality standards — runs the validation gate, applies the built-in checklist plus any repo-local one, and produces severity-ranked findings with an approve/request-changes verdict. The review engine behind om-auto-review-pr and om-review-prs.
Use this skill when the user asks to "make this animation feel natural", "fix motion that feels stiff/floaty/cheap", "my animation looks robotic", "choose an easing curve", "how do I use the Graph Editor", "add overshoot or bounce", "Easy Ease isn't enough", "make snappy motion", "pick a duration for this transition", "stagger a list animation", "sync animation to a beat", or "review motion for good timing". It is the tech-agnostic foundation for deciding how something should move
Guidance for implementing CollectionView in .NET MAUI apps — data display, layouts (list & grid), selection, grouping, scrolling, empty views, templates, incremental loading, swipe actions, and pull-to-refresh. USE FOR: "CollectionView", "list view", "grid layout", "data template", "item template", "grouping", "pull to refresh", "incremental loading", "swipe actions", "empty view", "selection mode", "scroll to item", displaying scrollable data, replacing ListView. DO NOT USE FOR: simple static layouts without scrollable data (use Grid or StackLayout), map pin lists (use Microsoft.Maui.Controls.Maps), table-based data entry forms, non-MAUI list controls, CarouselView or BindableLayout questions, platform-specific handler or renderer customization, diagnosing CollectionView bugs in the MAUI framework itself, or general MVVM/binding questions that merely happen to mention a list (use maui-data-binding).
Simplify code for clarity, reuse, quality, and efficiency while preserving behavior, and prune tests and comments that carry no value. Use after implementation and before review, or to audit tests or comments in any part of a repo; use ce-debug for bugs.
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach. Also use when the user says "openspec new change" or "opsx new"
Debugs the Buttercup CRS (Cyber Reasoning System) running on Kubernetes. Use when diagnosing pod crashes, restart loops, Redis failures, resource pressure, disk saturation, DinD issues, or any service misbehavior in the crs namespace. Covers triage, log analysis, queue inspection, and common failure patterns for: redis, fuzzer-bot, coverage-bot, seed-gen, patcher, build-bot, scheduler, task-server, task-downloader, program-model, litellm, dind, tracer-bot, merger-bot, competition-api, pov-reproducer, scratch-cleaner, registry-cache, image-preloader, ui.
Creates new Architecture Decision Record (ADR) documents for significant architectural changes using a consistent template and repository-aware naming and storage guidance. Use when a user or agent decides on an architectural change, needs to document technical rationale, or wants to add a new ADR to the project history.
Guide for implementing Shell-based navigation in .NET MAUI apps. Covers AppShell setup, visual hierarchy (FlyoutItem, TabBar, Tab, ShellContent), URI-based navigation with GoToAsync, route registration, query parameters, back navigation, flyout and tab configuration, navigation events, and navigation guards. Use when: setting up Shell navigation, adding tabs or flyout menus, navigating between pages with GoToAsync, passing parameters between pages, registering routes, customizing back button behavior, or guarding navigation with confirmation dialogs. Do not use for: deep linking from external URLs (see .NET MAUI deep linking documentation), data binding on pages (use maui-data-binding), dependency injection setup (use maui-dependency-injection), or NavigationPage-only apps that don't use Shell.
Create, configure, and manage Netlify deploys from code — reach for this when setting up Git continuous deployment, running netlify deploy or netlify deploy --prod from the CLI, writing netlify.toml deploy contexts, adding a Deploy to Netlify button, wiring build hooks, configuring Deploy Previews or branch deploys, locking or skipping deploys, fixing a failed or secrets-scanning deploy, or when someone asks to "deploy my site", "set up preview deploys", "add per-branch build config", "keep staging out of Google", or "add a deploy button to my README".
Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies.
Use when the user wants to store, retrieve, search, or manage files in agent-fs — an agent-first filesystem backed by S3. Triggers on: "save this to agent-fs", "find that file", "find a file by name", "store this document", "search agent-fs", "list my files", "show version history", "revert file", "set up agent-fs", "get a signed url", "share this file", "share link", "public link", "one-off link", "revoke a share link", "publish a site", "host this html", "share a folder", "manage members", "invite user", "invite to a drive", "add to drive", "give access to drive", "invite someone without an account", "accept an invite", "pending invites", "list members", "remove member", "update role", "reset api key", "rotate api key", "lost my api key", "watch drive changes", "stream file changes", "star this file", "add to favorites", "my favorites", file persistence for agents, shared agent filesystem, or any mention of the agent-fs CLI. Also use when the user needs to manage drives, manage org/drive members, generate presigned URLs, check recent activity, or use semantic search across stored files. Also use when the user wants to run SQL over stored data files ("query this csv", "sql over my files", "duckdb", "aggregate the parquet file", "query the sqlite db", "join these spreadsheets"). Also use when the user wants to mount or unmount agent-fs as a Linux FUSE filesystem ("mount agent-fs", "fuse mount", "fuse", "remote mount", "sandbox mount", "expose drives as files", "use cat/grep/mv on my agent-fs files", "umount the drive", "mount a remote drive", "mount from sprite", "mount from e2b", "mount from hetzner"). Also use when the user wants to use agent-fs as a just-bash filesystem. Also use when the user wants to set up agent-fs without Docker or S3 ("local filesystem backend", "filesystem storage", "no docker", "onboard --filesystem", "store files on disk"). If the user mentions agent-fs in any context, always consult this skill.
Art-direct and implement distinctive, motion-rich marketing, editorial, portfolio, and landing websites with original reference-inspired imagery, standout heroes, GSAP choreography, one smooth-scroll engine, optional Three.js shaders, honest icon and logo sourcing, photo avatars, accessibility, and performance safeguards. Use when a user asks for an Awwwards-quality, premium, cinematic, interactive, high-concept, or motion-led website, or explicitly requests this visual and motion system.
Analyzes 18-month scenarios based on a news headline. Runs the primary analysis with the scenario-analyst agent and gets a second opinion from the strategy-reviewer agent. Generates a comprehensive English report covering first-, second-, and third-order impacts, recommended stocks, and a critical review. Example: /scenario-analyzer "Fed raises rates by 50bp". Triggers: news analysis, scenario analysis, 18-month outlook, medium-to-long-term investment strategy
Geolocate or chronolocate a photo with tool-verified reasoning (where was this taken / when was it taken / photo geolocation / geo-guessing). Given one or more photos, intake.py does metadata, OCR and reverse image search (Baidu/Yandex) in one command; clues and candidates go on a candidate board (board.py) that ranks them and gives the next step; clues.py looks up calling codes, driving side, plates and area codes from region packs; for satellite and street view the machine ranks first and you look only at the top few (CLIP in sat_scan.py, DINOv2+SIFT in match.py); plus sun and shadow math, OSM Overpass and DEM skylines. Every conclusion is checked against real data; output is coordinates + error radius, evidence images and tiered confidence. Use when the user shares a photo and asks where was this taken / geolocate this / when was this taken / 这是哪 / 在哪拍的 / 帮我定位这张照片 / 网络迷踪 / 图寻 / 几点拍的.
Use when users want to run a local coding agent on KIE's chat models (api.kie.ai), ask which KIE models an agent can use, or ask how to configure its base URL, API key, provider table, or model name. Currently covers Codex CLI, Claude Code, and Grok Build. Also use this skill when the model's wire protocol differs from the agent's and a local translation proxy is needed.
Start new AuthKit setups with `npx workos@latest install`, which needs no WorkOS account. Use when the user asks for a WorkOS docs URL, term, or dashboard field (Sign-in endpoint, initiate_login_uri, Redirect URI, `WORKOS_*` env vars), or is implementing, debugging, or migrating WorkOS — AuthKit, SSO/SAML, Directory Sync, RBAC, FGA, MFA, Vault, Audit Logs, Admin Portal, Pipes (Connected Apps), Feature Flags, Radar (bot/fraud detection), webhooks, Custom Domains, WorkOS Widgets (profile, security, sessions, organization selection and member UI), Clerk UserButton/account UI comparisons, running the `workos` CLI in agent or sandbox sessions (`WORKOS_MODE`, `workos doctor`), or migrating from Auth0, Clerk, Cognito, Firebase, Supabase, Stytch, Descope, or Better Auth. Also triggers on @workos-inc/* imports.
Provides Gemini CLI delegation workflows for large-context analysis and complex reasoning using Gemini 3.0 Flash and Gemini 3.0 Pro models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Gemini for tasks such as broad codebase analysis, fast iterations with Gemini 3 Flash, or deep architectural reasoning with Gemini 3 Pro. Triggers on "use gemini", "delegate to gemini", "run gemini cli", "ask gemini", "use gemini for this task", "use gemini 3 flash", "use gemini 3 pro".
For marketers and creators producing promotional content for brands, products, websites, apps, shops, or personal projects. Users provide logos, product images, interface screenshots, official links, or other verifiable assets and confirm duration, aspect ratio, audience, and campaign focus. The Skill organizes brand facts and asset provenance, selects a narrative direction, plans precise beats and shots, generates needed imagery, video, voiceover, or music, and completes assembly and pre-delivery review. It outputs a promotional short that highlights product capabilities, use cases, and a call to action. Best for launches, website showcases, and social promotion; not for imitating real brand marks without authorized assets, inventing product claims, or producing long-form narrative films
.NET MAUI safe area and edge-to-edge layout guidance for .NET 10+. Covers the new SafeAreaEdges property, SafeAreaRegions enum, per-edge control, keyboard avoidance, Blazor Hybrid CSS safe areas, migration from legacy iOS-only APIs, and platform-specific behavior for Android, iOS, and Mac Catalyst. USE FOR: "safe area", "edge-to-edge", "SafeAreaEdges", "SafeAreaRegions", "keyboard avoidance", "notch insets", "status bar overlap", "iOS safe area", "Android edge-to-edge", "content behind status bar", "UseSafeArea migration", "soft input keyboard", "IgnoreSafeArea replacement". DO NOT USE FOR: general layout or grid design (use Grid and StackLayout), app lifecycle handling (use maui-app-lifecycle), theming or styling (use maui-theming), or Shell navigation structure.
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
Parse a structured design brief written in I-Lang protocol format into a concrete design spec. Eliminates ambiguity from vague requests like "make it professional" by requiring explicit dimensions: palette, typography, layout, mood, density, and constraints. Trigger keywords: "design brief", "create a design brief", "ilang brief", "structured brief".
Use this skill to analyze market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and US Stock Market Uptrend Stock Ratio charts. Use it when the user provides breadth chart images for analysis, requests a market breadth assessment or positioning strategy recommendations, or wants to understand the medium-term strategic and short-term tactical market outlook based on breadth indicators. It also works without chart images by fetching CSV data directly from public sources. All analysis and output are conducted in English.
Provides GitHub Copilot CLI task delegation in non-interactive mode with multi-model support (Claude, GPT, Gemini), permission controls, output sharing, and session resume. Use when users ask to hand work to Copilot, compare models, or run Copilot programmatically from Claude Code.
Generate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply. Use when responding to data subject requests, litigation hold notices, vendor legal questions, NDA requests from business teams, or subpoenas.
Use when the user wants to create or update their app marketing context document. Also use when they mention “app context”, “marketing brief”, or “app positioning”, or when starting any ASO or app marketing project. This is the foundation skill—all other skills check for this context first.
Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure. Use when creating skills that involve sequential pipelines, routing patterns, safety gates, task tracking, phased execution, or any multi-step workflow. Also applies when reviewing or refactoring existing workflow skills for quality.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
Assesses heuristic market top risk using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Analyze Swift and mixed-language compile hotspots using build timing summaries and Swift frontend diagnostics, then produce a recommend-first source-level optimization plan. Use when a developer reports slow compilation, type-checking warnings, expensive clean-build compile phases, long CompileSwiftSources tasks, warn-long-function-bodies output, or wants to speed up Swift type checking.
Evaluates market bubble risk through quantitative, data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when the user asks about bubble risk, valuation concerns, or profit-taking timing.
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
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.