Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Score each slice of a Sliced Bread codebase as a deep module: classify its crust shape, measure where implementation mass sits relative to the crust, and recommend which crusts to break down. Use when the user asks "are our slices deep", "review the crusts", "which modules should we break down", "is this facade too fat", or after a compliance review passes but a slice still feels monolithic. Do NOT use for boundary compliance on a change set (sliced-bread-review) or a rule-violation sweep (sliced-bread-audit) — this skill measures depth, not compliance.
Scrape social media profiles, posts, comments, followers, and search across 20+ platforms via x402. USE FOR: - Getting TikTok, Instagram, YouTube, LinkedIn, X/Twitter, Facebook, or Reddit profiles - Fetching a user's posts, stories, highlights, videos, or transcripts - Getting comments, replies, and reactions on posts - Listing followers and following for any account - Searching posts, hashtags, and profiles across platforms - Scraping ad libraries (Facebook, TikTok, Google, LinkedIn), Facebook Marketplace, Events, and Groups - GitHub users, repos, and trending; Rumble, Threads, Bluesky, Pinterest, Twitch, Spotify, and more - UGC research via the Lightreel agent: hooks, trends, creator search, scripts, briefs - Cross-platform social media research and monitoring TRIGGERS: - "tiktok", "instagram", "facebook", "reddit", "youtube", "linkedin", "twitter" - "get followers", "who follows", "following list" - "scrape profile", "get posts from", "social media data" - "instagram stories", "tiktok videos", "facebook page", "youtube channel" - "ad library", "facebook ads", "tiktok ads", "marketplace" - "ugc", "hooks", "creator search", "content trends" - "cross-platform", "social media research" IMPORTANT: StableSocial uses an async two-step flow. Step 1: POST triggers data collection (paid, $0.06). Step 2: Poll GET /api/jobs/{jobId} (or legacy GET /api/jobs?token=...) until finished (free). All endpoints are $0.06 per call.
Survey a project read-only (working tree, issues and their priority, open PRs, unfiled plans, docs awaiting review) into a one-screen dashboard that crowns one finish-first next move routed to the kit that does it, saved by default as a throwaway snapshot under docs/status/. Use when you sit down at a project and ask "what should I do next" or "check project status"; add "no file" to skip the snapshot. It reads and recommends only; the crowned kit does the work.
This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an individual tool. Use this when the unit of work is a single tool or a set of tools. Route project-shape, pipeline architecture, and task-model-fit decisions to project-development; route deciding whether to introduce sub-agents to multi-agent-patterns.
A best-practices guide for the wevu runtime in mini-programs, covering lifecycle registration, reactive updates, JSX/TSX, event contracts, `bindModel/useBindModel`, layout, native router helpers, `wevu/router`, store constraints, and performance management for `setData` scheduling, rendering, page transitions, resources, and memory.
Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.
Free YouTube video downloading, transcript extraction, and metadata retrieval using yt-dlp. Use this skill for downloading YouTube videos (single or bulk), extracting transcripts/subtitles, getting video metadata, or downloading audio-only. This is FREE (no API keys) unlike Apify. Triggers on YouTube download requests, transcript extraction, video metadata, or bulk video downloads
Use when you need to apply Java exception handling best practices—including using specific exception types, managing resources with try-with-resources, securing exception messages, preserving error context via exception chaining, validating inputs early with fail-fast principles, handling thread interruption correctly, documenting exceptions with @throws, enforcing logging policy, translating exceptions at API boundaries, managing retries and idempotency, enforcing timeouts, attaching suppressed exceptions, and propagating failures in async/reactive code. This should trigger for requests such as Exception handling; Use try-with-resources in Java code; Create exception chaining in Java code; Apply fail-fast validation in Java code; Review Java exception taxonomy and propagation. Part of Plinth Toolkit
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Design AE A/B experiments from a business goal through a reviewable draft. Use when the user asks to form an experiment hypothesis, assess metric readiness, choose or create metrics and Features, design groups or traffic, estimate sample size or duration, create an experiment draft, or run readiness and conflict checks. SDK guidance is a conditional branch: enter it only when the user explicitly asks about an A/B experiment SDK, client SDK integration, experiment SDK code generation, or SDK troubleshooting; do not include SDK work in an ordinary experiment-design or draft-creation request.
Diagnose and interpret AE A/B experiments from configuration and report evidence through a defensible decision. Use when the user asks what an experiment means, whether it can roll out, why a result is not significant, why group sizes or exposure are wrong, why treatment results conflict, whether the report is trustworthy, or what to do next. Covers SRM, duration sufficiency, novelty effects, metric conflicts, missing or anomalous data, design reasonableness, data reliability, metric interpretation, trend and segment analysis, root-cause hypotheses, and rollout recommendations. All platform discovery and reads must use ae-cli.
Cross-runtime playbook for multi-agent collaboration, agent teams, swarm orchestration, parallel task distribution, capability discovery, and quality gates on Claude Code, Codex, OpenClaw, and Cursor. Use for 多agent、agent协作、agent编排、并行agent、分工协作、拉团队、多代理协作 or complex work needing independent roles and review. Map the six-stage workflow to the active host's actual capabilities; report sequential degradation when parallel agents are unavailable
Set up Critical User Journey (CUJ) monitoring in bitdrift. Deploys a complete observability stack: path discovery (sankey), conversion funnel, completion rate SLO, key step duration alerting, session capture, and a two-tab dashboard. Trigger when a user wants to monitor a journey end-to-end, track conversion and drop-off, measure step duration, or set up SLOs on a business-critical flow such as checkout, onboarding, login, or search.
Access real-time context and life history from Bee, a wearable AI that captures and transcribes the owner's conversations. ALWAYS start with 'bee now' for the last 10 hours of conversations with full utterances - the highest-value context for relevant help. Use this skill when: (1) you need to know what's happening RIGHT NOW - recent conversations, current context, what was just discussed; (2) the user asks about something that just happened or someone they just talked to; (3) you need life context - who the owner is, relationships, work, preferences, places they go, photos; (4) searching past conversations/daily summaries/facts, recalling where the owner was, reviewing insights, or managing facts and todos; (5) syncing or monitoring Bee data.
Stylized / NPR looks in Blender 5.2 - toon and cel shading (bands, shadow tint, rim, hard specular), anime faces with custom normals, inverted-hull outlines with smoothed outline normals for game engines, Line Art and Freestyle lines, Grease Pencil drawing, unlit export. Use for anime, cartoon, comic, cel-shaded or outlined styles.
Read/write brain files (Obsidian vault at brain/). Use for any task that persists knowledge — reflection, planning, or direct edits. Triggers after debugging sessions, mistakes, corrections, architectural decisions, or any insight worth preserving across sessions. Use on 'add to brain', 'remember this', 'write a note', or brain/ modifications.
Use when sizing an ops or support team, building a headcount plan or checking utilization risk. Models queues with Erlang C in capacity_modeler.py, analyzes utilization with utilization_analyzer.py and orders hires with hiring_sequencer.py.
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.
Use when writing text a user reads: UI strings, landings, store listings, posts, ads, email. Triggers: "напиши текст", "App Store description" / "описание для App Store", "video hook" / "хук ролика". Not for the voice (brand-voice) or look (sheleg-design). Refusal phrase "no brand" / «без бренда».
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics
A skill that uses GLM-V native grounding capabilities for coordinate conversion, bounding-box visualization, and more. GLM-V native grounding can locate any target specified by the prompt in an image and output relative coordinates normalized to 0-1000 based on image size. Coordinate formats include 2D bounding box (default), 2D points, and 3D bounding box. GLM-V also supports spatiotemporal localization and tracking of multiple prompt-specified targets in videos, outputting 2D bounding boxes per second.
Design and implement microinteractions, motion design, transitions, and user feedback patterns. Use when adding polish to UI interactions, implementing loading states, creating gesture-based interactions, designing hover/focus states, building notification/toast systems, adding scroll-triggered animations, implementing drag-and-drop, or creating delightful user experiences.
Patterns for individual long-form content pieces. Case studies, whitepapers, research reports, definitive guides, manifestos, ebooks, long-form tutorials. The structural disciplines that distinguish publication-quality long-form from bloggy-long padding or academic bloat. Different from pillar-content-architecture (which covers hub structure); this skill covers individual deep-dive pieces. Triggers on long-form content, case study writing, whitepaper, research report, definitive guide, ebook, manifesto, long-form tutorial, deep-dive article, anchor piece, foundational article, structural archetypes. Also triggers when a piece is over 3,000 words and the team is unsure how to structure it, when a long-form draft feels padded or saggy, or when a flagship asset needs the depth to actually earn the length.
Use when building or debugging React interfaces in Meteor 3: meteor create --react, createRoot, JSX or TSX entry points, Rspack React detection, Fast Refresh, react-meteor-data, useTracker, useSubscribe, useFind, withTracker, Suspense, and Tracker.withComputation. Triggers on isLoading being treated as a boolean, useFind receiving fetch(), stale closure inputs, duplicate tracker side effects, unstable Suspense keys, lost reactivity after await, state reset after refresh, or React tests leaking computations. Use this skill when the user asks about a React skeleton, React Compiler, React-specific rspack.config rules, reactive data hooks, or classic versus Suspense integration. Route general bundler configuration to meteor-modern-build-stack and Meteor 2 upgrades to migrate-to-meteor-3.
Comprehensive guidance for Minecraft mod development with Fabric, including porting from other mod loaders (Forge, NeoForge). Integrates MCP servers for decompilation, documentation access, and mixin validation. Use when developing Fabric mods, porting from Forge, or working with Minecraft source code
Build and maintain a professional, source-traceable project knowledge network. Use when the user asks to generate, update, validate, search, migrate, or open a project Wiki; when architecture and module knowledge should be connected; or when Obsidian-compatible Properties, Bases, and Canvas views are useful. Durable Markdown lives in wiki/ and remains usable without Obsidian.
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.
Use this skill whenever motion, animation, timing, easing, or composition over time is the subject. Triggers on "animate", "motion", "easing", "timing", "keyframe", "transition", "stagger", "loop", "bounce", "overshoot", "follow-through", "anticipation", "12 principles", "motion hierarchy", "composition for motion". Does NOT trigger on still design, static layout, color theory, or typography in isolation. Pair with aftereffects-motion or blender-motion when a tool is named. Load this first; specialists layer on top
High-accuracy optical character recognition (OCR) service. Supports text detection and extraction from multilingual images in multiple formats, and provides text region coordinates and confidence scores for document digitization and image content analysis.
Okta-as-IdP red-team attack chain — tenant discovery, user enumeration (multiple vectors), authentication flow analysis (factors enumeration, push-notification fatigue, SMS bypass), password spray with lockout discipline, Okta-specific phishing primitives (kits, FastPass abuse, OIDC redirect_uri tampering), MFA enumeration, post-compromise admin API surface. Many enterprise orgs use Okta instead of (or alongside) Entra ID. Distinct endpoints, distinct rate-limiting, distinct factor flows. Use when recon shows `<tenant>.okta.com`, `<tenant>.okta-emea.com`, `<tenant>.oktapreview.com`, or autodiscover-style records pointing at Okta IdP.
Build ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.
Use when addressing open PR review comments from any reviewer (human or bot). Runs an in-session loop by default; on an explicit `--handoff` request, completes one unit of work per session and stops so the user starts the next. When an external shell loop should drive the sessions instead of the user, use ralph-wiggum-loop.
Media orchestration for Remotion videos. Generates and sources the assets a video needs (voiceover, music, sound effects, stock footage, AI images and clips, video analysis and review) through MCP tools, and hands them to Remotion's official skills for the markup. Use whenever a Remotion video needs audio, voiceovers, music, stock footage, AI-generated media, or analysis of existing footage
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Set up Sveltia CMS, a lightweight Git-backed CMS successor to Decap/Netlify CMS (300KB bundle, 270+ fixes). Framework-agnostic for Hugo, Jekyll, 11ty, and Astro. Prevents 10 documented errors. Use when adding a CMS to static sites, migrating from Decap CMS, or fixing OAuth, YAML parse, datetime timezone, GDPR font loading, or CORS/COOP errors
Use to report how hardcoded style values on a page, file or diff map onto a project's existing design tokens, such as "are we using our tokens here", "which hardcoded colors map to which tokens", a token audit or planning a token migration. It never edits. Replacing the values is build-design-system.
Plan and execute user research, including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, research synthesis, recruitment, interview guide, jobs to be done. Also triggers when product decisions are being made without user input and the user wants to fix that.
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.