Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category trade-offs, chart-rank competitive analysis, category-driven discoverability, and how category choice affects featuring eligibility. Use when the user mentions "which category", "App Store category", "primary category", "secondary category", "change my category", "Health & Fitness vs Lifestyle", "Productivity vs Utilities", "rank higher in a smaller category", "category chart", "subcategory", "Play Store category", or "should I switch categories". For full ASO health beyond category, see aso-audit. For competitor analysis within the chosen category, see competitor-analysis. For chart movements within categories, see market-movers.
MUST be used when migrating an existing React app to Flows, or when no Flows auth is wired up. Detects classic vs Apps API flow from `app.json` `infra` field, installs the right packages, and wires up the entry file. No-op when a valid auth setup is already in place. Triggers: migrate to Flows, add Flows auth, DuneAuthProvider, AppSdkAuthProvider, connectToHostApp, useDune, Flows setup, setup auth, missing auth provider, CDF authentication, Fusion iframe auth.
Final verification and acceptance phase for mathematical modeling competitions, with dual-engine support for Typst and LaTeX. After the paper is written, checks section count, heading order, figure and table references, numerical consistency, placeholders, internal file leaks, references, code reproducibility, compilation, and submission readiness.
Use this skill when the user asks to animate a diagram, build a flowchart that reveals step by step, animate an architecture or sequence diagram, make a chart animate in, grow the bars, draw the line, count up the number, show data flowing along a connector, or turn a static diagram into a guided reveal. Covers SVG, Framer Motion, D3, and Remotion.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
MUST be used when fixing Flows app performance — re-renders, query patterns, pagination, unbounded fetches, LLM-over-query-results, bundles, memory leaks. Measure before and after. Triggers: performance, slow, laggy, optimize, re-render, bundle size, CDF query, virtualize, chat completions, LLM cost
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
Apply the Law of Proximity — spatial closeness groups elements more strongly than any other cue. Use when spacing alone must carry grouping. For grouping via containers use `law-of-common-region`; via shared appearance use `law-of-similarity`.
One-click contribution flow for OpenDesign (nexu-io/open-design) — even for non-coders. Pick one of four cards (ship a Skill or Design System you made with OD; translate docs; fix a typo / write a blog; report a bug), the agent validates and opens a PR (or issue) for you. Trigger words contribute to open design, ship my OD skill, ship my OD design system, translate OD docs, report an OD bug, od-contribute.
Standard workflow for pulling updates from main or other branches on multi-contributor projects (including Flows apps) without silently discarding work. Guides fetching/merging, requires listing merge conflicts explicitly, analyzing ours vs theirs using conversation history and repo context, presenting prioritized recommendations, and obtaining user answers before editing conflict markers or completing the merge. Triggers: pull main, merge main, merge origin, rebase, merge conflict, unmerged paths, both modified, integrate branch, sync with main, git merge abort, resolve conflicts, UU status, theirs vs ours, feat branch update
Apply a refined Scandinavian visual system with a neutral black-and-white foundation, restrained sans-serif typography, purposeful product imagery, generous spacing, clear page chapters, and minimal decoration. Use when the user invokes /scandinavian-design or requests a Nordic, monochrome, calm, spacious, restrained, or minimalist interface.
Use when the user wants to define, audit, or apply brand strategy—purpose, values, positioning, storytelling, voice, narrative (not only visuals). Also use when the user mentions “brand strategy,” “brand story,” “brand storytelling,” “brand voice,” “brand identity,” “brand guidelines,” “brand purpose,” “brand values,” “origin story,” “brand narrative,” “brand personality,” “brand archetype,” “slide deck branding,” “PPT brand colors,” or “document style guide.” For typography, colors, design tokens, and frontend visuals, use brand-visual-generator.
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.
Wires the Aura Topbar (@aura/topbar) into Flows/Fusion apps: breadcrumbs, optional Tabs/Segmented, right strip (Share, notifications, theme, Atlas, user Avatar), light/dark. Atlas opens the EOS sidebar — wire context with integrate-fusion-agent; do not embed a chat UI. Use when adding a topbar, header, breadcrumbs, theme switcher, or Atlas launcher
Create a comprehensive brand standards document — covering logo usage, color, typography, voice, messaging, and application rules. Use when the user says "brand guidelines", "brand standards", "brand book", "style guide", "brand guide", "brand manual", "brand rules", "brand documentation", "brand toolkit", "onboarding designers or copywriters", "need a document for the team", "brand consistency across teams", or wants to codify all brand decisions into a reusable reference document.
Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards.
Bulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say "migrate my labels to issue fields", "migrate project fields to issue fields", "convert labels to issue fields", "copy project field values to issue fields", or ask about adopting issue fields. Issue fields are org-level typed metadata (single select, text, number, date) that replace label-based workarounds with structured, searchable, cross-repo fields.
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
A three-way conversation between Hayek, Mises, and Claude. A multi-role discussion from the perspective of Austrian economics. Trigger with: /chatroom-austrian, /奥派, "奥派聊天室" Austrian economics chatroom. Hayek × Mises × Claude debate. Trigger: /chatroom-austrian, /奥派, "Austrian chat"
Master skill that runs the full PlanetScale safe best-practices assessment — inventory, engine review, Insights, Traffic Control, webhooks, schema recommendations, codebase instrumentation, and agent operating model — then produces a unified recommendations report. Never applies changes without explicit approval. Use when the user asks to run the full assessment, all skills, or PlanetScale best-practices review.
Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI. Covers creating a branded RCS test agent (logo, banner, rich cards, suggested replies), adding verified testers, and sending/receiving the first RCS message; and configuring AWS End User Messaging Notify to send one-time-passcode (OTP) verification codes through AWS-managed phone numbers without buying a number or completing carrier registration. Also discovers which registration type a country requires from live API definitions and runs the universal registration lifecycle (create, derive fields, fill, submit, recover from denial, resubmit) shared by 10DLC, toll-free, short code, sender ID, RCS country launch, and Notify tier upgrade. Applicable to RCS agent setup, RCS message send/receive, Notify OTP configuration, verification-code delivery, registration requirements by country, and registration submission. Does not cover WhatsApp (see aws-social-messaging).
Read GMGN call-outs (喊单) — public token calls that wallets publish on GMGN, with call price, call market cap, multiplier since the call, thesis text and the caller's current holding. Use when user asks who is calling a token, what a wallet has called, a wallet's call-out track record (hit rate, best multiplier), or wants the latest call-out feed (KOL-only, paid declarations, safe tokens). Read-only; publishing a call-out is not supported
Create, animate, review and render videos in code with fframes (Rust, SVG scenes, ffmpeg encoding, Skia GPU rendering). Use whenever the user wants a video, animation, motion graphic, explainer, promo, social clip, title card, podcast visual, lyric/caption video or any rendered .mp4/.webm made programmatically, or asks to change, fix, speed up or check an fframes video. Covers installing fframes, creating a project, designing good-looking motion, 3D shots (`fframes::three_d`, three.js style scenes), sound (music, voice, SFX, loudness), watching it in a real-time preview window, and checking the result without watching it: frames and contact sheets as PNG, automatic problem detection, loudness numbers, fast draft and range renders
Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.
De-slop pass for any text: detects and erases the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash abuse, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing) and rewrites the text into its target register — academic article, tweet, reddit post, email, blog, anything between. Use when the user says "fuck slop", "f*ck slop", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /fuck-slop. Also use before publishing any agent-drafted prose.
A workspace for academic writing and topic rationale in the social sciences and related disciplines, covering four key areas: topic ideation, literature review, argument organization, and academic expression. Use for finding paper topics or research questions; turning interests or broad topics into discussable research directions; literature reviews and field mapping; distinguishing “little research” from genuinely unresolved questions; designing evidence pathways and claim boundaries; novelty audits and “Reviewer 2”-style critiques; PhD/thesis feasibility assessments; advisor communication; or checking for overclaiming and concept conflation in papers. Also suitable for the topic-selection and argument self-review stages of proposals, research plans, and theses.
This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferences (allergies, dietary restrictions, goals, likes/dislikes) and stores them in a persistent database. All subsequent food-related responses are personalized based on these stored preferences
Turns a product brief (its Scope and Key flows) or a spec's Phasing into a tracker backlog — epics, stories with acceptance criteria, tasks — with stable ids in titles, epic checklists, and Epic links, filing every issue through om-prepare-issue so dedupe, SDLC labels, and rationale come for free. Refuses a brief that is not ready; shows the whole tree and waits before writing. Use for "build the backlog", "turn the brief into issues"
Full brand strategy workflow for agencies and brand consultants. Acts as a senior brand strategist — collects client information through a structured questionnaire, then generates a complete, polished brand strategy report. Use this skill whenever a user says "brand strategy", "create a brand report", "build brand strategy for my client", "brand questionnaire", "I have a new branding client", "help me do brand strategy", "brand identity strategy", "write a brand strategy document", or shares a client brief and wants a strategy output. Also triggers when a user uploads or pastes a completed brand questionnaire and asks to turn it into a report. Always use this skill for any brand strategy task — even casual mentions like "I need to do strategy for this brand" or "client filled the form, make the report".
When the user wants to design, deploy, or measure Apple Custom Product Pages (CPP) — the alternate App Store product pages with different screenshots, preview videos, and promo text shown to users coming from specific URLs (typically ad campaigns or social posts). Use when the user mentions "Custom Product Page", "CPP", "alternate product page", "App Store URL variant", "ASA CPP", "campaign-specific landing page", "product page per audience", "App Store Connect CPP", "ppoUrl", "?cpp=" parameter, or "show different screenshots to different ad audiences". For App Store A/B tests on the default page, see ab-test-store-listing. For paid ad campaigns that route to CPPs, see apple-search-ads or ua-campaign.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
SOLID principles, design patterns, DRY, KISS, and clean code fundamentals. Use when reviewing architecture, checking code quality, refactoring, or discussing design decisions. Triggers on “review architecture,” “check code quality,” “SOLID principles,” “design patterns,” or “clean code”
Local speech-to-text using faster-whisper. 4–6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarization, URL/YouTube input, batch processing with ETA, transcript search, chapter detection, per-file language map.
Find and own a defensible market position. Use when messaging sounds like competitors, conversion is weak despite awareness, repositioning a product, or testing positioning claims. Includes Crawl-Walk-Run rollout methodology and the word change that improved enterprise deal progression.
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.