Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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Automatically discover, score, and archive relevant GitHub repositories for BidDeed.AI and Life OS projects. Use this skill when the user requests to find GitHub repositories for specific topics, technologies, or domains that could be integrated into existing projects. Triggers include phrases like "find GitHub repos for", "discover repositories about", "search GitHub for projects related to", or when analyzing videos/articles that mention GitHub projects.
This skill should be used when users need to interact with GitLab via the glab CLI. It covers repository management (create, delete, clone, fork), CI/CD workflows (pipelines, jobs, schedules), Merge Requests, Issues, Releases, and other GitLab operations. Triggers on requests mentioning GitLab, repos, MRs, issues, pipelines, or CI/CD workflows.
Build a complete, production-ready full-stack web application from PRD documents, prototype images, and resource files. Handles the entire pipeline: system design, database schema, seed data, backend API, frontend UI, visual verification against prototypes, and deployment script generation. Use this skill whenever the user: - Provides a PRD (product requirement document) and wants a working app built - Says things like "根据PRD开发", "build from PRD", "implement this product", "把需求文档做成应用", "develop this app from requirements" - Has prototype images + requirements and wants full-stack implementation - Wants to turn product specifications into a running web application - Mentions building an app from wireframes/mockups combined with a requirements doc Trigger this skill even if the user just says "帮我开发" or "build this" with PRD materials present in the working directory
Godot 4.x game development (verified on 4.7) - scaffold, inspect and edit projects, scenes, UI, resources headlessly; author tilesets, ASCII-painted levels, themes, animation, audio buses, custom Resources, collision/navmesh bakes, shaders, export presets; draw pixel art from ASCII, clean generated art, synthesize sound effects and looping music; look up the installed engine's exact API; lint GDScript, scenes and shaders without Godot (Godot 3 renames, un-inferable :=, dead node paths, input actions, res:// paths); catch editor-only node warnings; move files safely; unit-test, smoke-run every scene with input fuzzing, debug, export; verify it all as text (node trees, UI layout, 2D/3D placement, level, image, audio read-backs), no vision or hearing needed. Use when Codex needs to build or fix a Godot game, write or repair .gd/.tscn/.tres/.gdshader files, add art, sound, levels or UI, migrate Godot 3 code, reorganize a project, or validate, test and export.
Activate this skill when the user needs to judge whether a company has a durable competitive advantage. Typical triggers: while analyzing a stock or company the user asks "这门生意好不好", "护城河够不够深", "这个商业模式能不能持续赚钱"; or the user tries to evaluate a company from PE or financial metrics but cannot sort it out. Not applicable to: pure financial modeling (DCF calculation), companies clearly outside the circle of competence (should return to the circle-of-competence framework first), or short-term trading timing decisions. Key language signals: "这个生意模式怎么样", "为什么这家公司能一直赚钱", "竞争对手能不能抢走它的市场".
Searches Google's public careers site (careers.google.com) via the Crawlora API and pulls single job postings by id, returning clean JSON. Use when the user wants to search Google Jobs, see what roles Google is hiring for in a location, or pull the full detail of a specific Google Jobs posting.
This skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API. Agent should proactively trigger this skill for needs like finding restaurants in a specific city, extracting contact info of dental clinics, researching local competitors, collecting addresses of coffee shops, generating lead lists for specific industries, monitoring business ratings and reviews, getting opening hours of local services, finding specialized stores (e.g., Turkish-style restaurants), analyzing business categories in a region, extracting website links from local businesses, gathering phone numbers for sales outreach, mapping out service providers in a specific country.
Fetches Google Trends data including daily trending topics, real-time trends, interest by region, related topics, related queries, and autocomplete suggestions. Use when the user asks about trending searches, search popularity, keyword trends, or Google Trends data.
Use when setting up GPC (Google Play Console CLI): authentication with service accounts, OAuth, or Application Default Credentials; configuration files (.gpcrc.json, env vars, XDG paths); auth profiles; running gpc doctor; troubleshooting auth errors. Make sure to use this skill whenever the user mentions gpc auth, gpc setup, service account setup, gpc config, gpc doctor, GPC_SERVICE_ACCOUNT, gpc auth login, gpc auth clear-cache, token cache, Google Play API credentials, Play Console authentication, download bulk reports permission, reports bucket access, GPC_REPORTS_BUCKET, or wants to install/configure GPC — even if they don't explicitly say 'setup.' Also trigger when someone is troubleshooting auth failures, token expiration, keychain issues, or proxy/network configuration for GPC.
Recommend suitable prompts from 1,000+ GPT Image 2 image generation prompts based on user needs. Optimized for GPT Image 2 (OpenAI), but prompts also work with Nano Banana Pro, Nano Banana 2, Seedream 5.0, Midjourney, DALL-E, Flux, Stable Diffusion, and any text-to-image AI model. Use this skill when users want to: - Generate images with AI (any model — GPT Image 2, GPT Image 1.5, Nano Banana Pro, Seedream, etc.) - Find proven AI image generation prompts and prompt templates - Get prompt recommendations for specific use cases (portraits, products, social media, posters, etc.) - Create illustrations for articles, videos, podcasts, or marketing content - Browse a curated prompt library with sample images - Translate and understand prompt techniques Also available: "ai-image-prompts" skill — a model-agnostic version of this library for universal image generation.
Work with a Grafana instance — search and read dashboards, run datasource queries (Prometheus, Loki, PostgreSQL, etc.), inspect alert rules and silences, post annotations, and manage folders. Use this whenever the user mentions a Grafana dashboard, panel, or alert; pastes a Grafana URL; asks "what does this dashboard show", "query this metric in Grafana", "is this alert firing", "silence this alert", or wants to create/export a dashboard — even if they don't say "API". Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
Clarify and record user-confirmed UI design requirements through focused question sets, optionally after grill-workflow and before prototype or specification. Use when the user wants custom visual direction, design preferences, or resolution of a design conflict; do not use for product scope or implementation.
Use when asked to “growth loops,” “build a growth engine,” “design a viral loop,” “create a content loop,” “move beyond paid acquisition,” or “why isn't growth compounding.” Helps design self-reinforcing growth systems where output becomes input. The Growth Loops framework (from Brian Balfour / Reforge and Elena Verna) shifts thinking from linear funnels to compounding loops.
Use when reviewing PRs, simplifying over-engineered code, judging architecture, or renaming unclear concepts — inline fake helpers, delete meatless ceremony, rename lying names, merge over-split files, reject premature abstraction, say no to speculative config/modes/layers, then end with the smallest safe next change. Triggers when code is too fancy, too abstract, too clever, too many files/helpers/layers, or too well-factored but painful to change. Embody Grug brain: complexity very bad, small words, no consultant speak, no hard pivot to opposite dogma.
Standalone GTM audit of a B2B service company on 23 weighted criteria in 4 blocks (Team 20% · Processes 30% · Data 25% · Interfaces 25%), maturity scale 0-4, band Critical/Weak/Working/System, coverage %, top-3 gaps and a first-30-days shortlist. Use when the user says GTM-аудит, зроби аудит, audit our go-to-market, де рветься воронка, оціни нашу систему продажів, or at the start of an engagement before any list, campaign or content work. Runs from whatever evidence exists (site, LinkedIn, CRM export, call notes, pasted answers) and never invents a score. Not a website UX audit and not a reply audit.
Delegate a bounded task to another coding-agent CLI the way a parent agent delegates to a subagent. CLIs are Claude Code, Codex, Grok Build, Antigravity (agy), and the Cursor CLI (cursor-agent). Use when the user says harness-subagent, or names a CLI or a model such as Astra, Sol, Opus, Opus 5.5, Fable, Sonnet, Sonnet 5.5, Haiku, or Grok 4.7. Do not use to install those CLIs. Do not use if this session was launched by this skill (the prompt starts with YOU ARE THE WORKER, or HARNESS_SUBAGENT_RUN is set). Do that job. Do not delegate again.
Use when writing Helion (import helion; import helion.language as hl) kernels over nested/ragged/jagged tensors (offsets/variable-length rows), OR when managing Helion autotuning that is slow — saving/loading tuned configs, selecting configs by GPU architecture and input shape, or avoiding re-tuning across machines. Covers hl.jagged_tile, Config.save/load, the autotune cache, helion.from_cache, AOT heuristics (aot_kernel/aot_runner), and shape specialization.
HeroUI v3 component library expertise for React (web) and React Native (mobile). Use when code imports @heroui/react, @heroui/styles, or heroui-native, user asks to build UI with HeroUI, or references HeroUI components, theming, or migration from NextUI/HeroUI v2.
Create workout routines in Hevy fitness app. Converts training programs (text/PDF/image) to Hevy JSON format via CLI. Look up exercise IDs, build routine JSON, create via API. Use when: creating gym routines, importing workout plans, looking up exercise IDs, building workout JSON, converting programs (PPL, 5x5, 531, GZCLP, nSuns, Starting Strength, PHUL, PHAT, Upper/Lower, Full Body), syncing to Hevy, or any Hevy API task. Keywords: fitness app, workout tracker, routine builder, gym program, strength training, hypertrophy, exercise database, training log, weightlifting, bodybuilding User-invocable: /hevy
Build, configure, review, debug, migrate, or plan Hey API (@hey-api/openapi-ts) OpenAPI-to-TypeScript codegen with current docs. Use for openapi-ts, defineConfig, generated SDKs, types, Fetch/Axios/Next/Nuxt/Ky/OFetch/Angular clients, Zod/Valibot validators, TanStack Query and Pinia Colada plugins, MSW/Faker mock plugins, vite-plugin, client.setConfig, auth, interceptors, throwOnError, registry inputs, and regenerating clients from OpenAPI specs.
Turn an uploaded photo into a HEYTEA-inspired text or no-text object-and-doodle poster, a static flavor monster, a poster pairing the unchanged photographed product with an approved monster, or an approved runnable desktop pet. Use for 喜茶简笔画海报, 歪扭儿童字, 实物加小人涂鸦, 风味小怪兽, 小怪兽融合海报, 桌宠, 照片变桌面宠物, 食物桌宠, or 饮料桌宠.
Expertise in architecting, implementing, reviewing, and debugging hierarchical matching systems. Use when working with: (1) Two-sided matching (Gale-Shapley, hospital-resident, student-school), (2) Assignment/optimization problems (Hungarian algorithm, bipartite matching), (3) Multi-level hierarchy matching (org charts, taxonomies, nested categories), (4) Entity resolution and record linkage across hierarchies. Triggers: debugging match quality issues, reviewing matching algorithms, translating business requirements into constraints, validating match correctness, architecting new matching systems, fixing unstable matches, resolving constraint violations, diagnosing preference misalignment.
Use when asked about “marketplace strategy,” “chicken and egg problem,” “liquidity,” “two-sided market,” “tipping a marketplace,” “GMV growth,” or “Sarah Tavel marketplaces.” Helps founders and product leaders build defensible marketplace businesses by sequencing supply and demand. The Hierarchy of Marketplaces framework (created by Sarah Tavel / Benchmark) provides a progression from focused launch to market dominance.
Rewrite a memory or context file (CLAUDE.md, AGENTS.md, a todo or notes file) into Honey-terse form so it costs fewer input tokens every session, without losing meaning. Backs up the original first. Use when asked to shrink or compress context files, trim CLAUDE.md, or cut per-session input cost. Prose only — never code, config, or data.
HotChocolate 16.6+ server implementation best practices for .NET GraphQL services. Use when writing or reviewing C# in a HotChocolate project — resolvers, classes with [QueryType], [MutationType], [ObjectType], or [DataLoader], Green Donut DataLoaders, EF Core data access inside resolvers, pagination, or GraphQL performance work in .NET. Triggers on 'HotChocolate', 'Green Donut', 'DataLoader', 'resolver', 'AddGraphQLServer', or any edit to a file that uses HotChocolate attributes or types. Applies to standalone servers and to source schemas (subgraphs) in a composite setup.
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.