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Found 1,342 Skills
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Build and revise Rive Luau scripts across Node, Layout, Converter, Path Effect, Transition Condition, Listener Action, Util, and Test protocols. Use when the user asks to write or modify Rive scripts, choose protocols, wire script inputs or data binding, debug runtime behavior, or plan unit tests for script logic.
Use when order-of-magnitude cost estimates are needed to assess financial feasibility, compare cost-effectiveness of alternatives, or identify major cost drivers (not for detailed quotes—that's Procurement)
Create and manage user rules that customize AI behavior. Use this skill when users want to create new rules, update existing rules, organize rules, or need guidance on writing effective rules for their projects or personal preferences.
Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure.
Analyze complex systems through stocks, flows, and feedback loops to find high-leverage interventions. For organizational, environmental, social, and technical systems exhibiting circular causality. NOT for linear problems or simple cause-effect chains.
Production-grade animation patterns for React and Next.js using Motion (formerly Framer Motion). Use this skill whenever the user asks to animate components, add transitions, create scroll-triggered effects, implement page transitions, layout animations, gesture interactions, or any kind of motion/animation in a React or Next.js project. Also trigger when code imports 'framer-motion', 'motion/react', or 'motion/react-client', or when the user mentions: animation, transition, fade-in, slide, parallax, scroll animation, exit animation, AnimatePresence, motion.div, spring, gesture, drag, hover animation, stagger, whileInView, or layout animation.
Behavior Guidelines for Information Visualization Presentation. Automatically activated when the model's response contains structured information such as comparisons, steps, configurations, architectures, etc., ensuring priority use of visual formats like tables, code blocks, lists, tree structures, instead of pure text accumulation. Trigger words: "Use a table", "Draw a diagram", "Make a list", "Structure it", "Don't just use text", "Visualize", "Compare". Even without trigger words, the rules of this Skill should take effect as long as the response contains structured information suitable for visualization. It also applies to scenarios such as "Too much text to read", "Can it be more intuitive?", "Organize into a table".
Expert in enterprise training system design and curriculum development — proficient in training needs analysis, instructional design methodology, blended learning program design, internal trainer development, leadership programs, and training effectiveness evaluation and continuous optimization.
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.
Build messaging agents and apps with Spectrum — Photon's unified messaging SDK. Write your handler logic once and ship it across iMessage, WhatsApp Business, the terminal, or a custom platform. Spectrum is multi-platform by design and is becoming multi-language; the current SDK is `spectrum-ts` (TypeScript), with additional language SDKs planned. Use this skill for any Spectrum question — quickstart, multi-platform setup, receiving messages, content builders, spaces and users, reactions and replies, platform narrowing, the built-in providers (iMessage cloud/local/dedicated with message effects, Terminal TUI test harness, WhatsApp Business 1:1), custom event streams, graceful shutdown, building your own provider with `definePlatform`, and the production architecture patterns Photon uses internally to ship agents that live natively inside IM apps (five-stage inbound pipeline with debounce → batch flush → mark as read → generate → send, in-flight cancellation with abort signals, drain-in-handler, carry-forward, idempotent retries via stable client GUIDs and a startIndex resume cursor, per-resource memory scope `resourceId` vs `threadId`, durable job-failure audit log). This is the entry point for the skill; consult the topic files in this directory for full reference. Keywords: spectrum, spectrum-ts, photon, unified messaging, multi-platform, multi-language, im agent, messaging agent, imessage, whatsapp, whatsapp business, terminal, tuichat, definePlatform, custom platform, platform provider, platform narrowing, app.messages, Spectrum(), space, send, reply, react, tapback, typing indicator, responding, startTyping, stopTyping, content builder, text, attachment, voice, contact, richlink, poll, group, custom content, message effects, bubble effect, screen effect, line model, dedicated line, shared pool, custom events, app.stop, lifecycle, SIGINT, graceful shutdown, message queue, debounce, batch, in-flight, cancellation, abort controller, carry forward, idempotent retry, client guid, dedup, deduplication, startIndex, resume cursor, working memory, resourceId, threadId, per-resource memory, job failure, audit log, race condition, worker crash, retry, pg-boss, queue worker, conversational agent, chat agent, native messaging, agent architecture, production agent, spectrum patterns, best practices.
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. Inside: 4-step research framework (website → social → traffic → ad spend) · 3-version Wayback evolution analysis · X/Twitter propagation-chain mapping · growth-flywheel 6-stage scoring · KOL identification · content-effectiveness ranking · ICP + freemium pricing teardown · self-check checklist. New in 1.2: time-machine competitor archaeology — Google date-range search back to pre-fame years, star-history launch-day reconstruction (AppFlowy ~40-channel zero-budget launch teardown), competitor funding news as a launch-timing signal, and the "open source alternative" positioning play. Sourced from first-hand founder interviews (AFFiNE co-founder, 2026-04, self-reported figures marked). 🇨🇳 Your competitor just blew up. You have no idea how they did it. Should you tear down their website? Monitor their social media? Map their growth flywheel? This SOP provides you with a complete methodology from Wayback Machine snapshots to X/Twitter propagation chain reconstruction to 6-stage growth flywheel scoring. Built from 150+ AI startup competitive analysis practices, including the full Lovable case study. 🇯🇵 Your competitor suddenly went viral. You have no idea how they grew. This SOP provides a complete competitive research framework from Wayback snapshots to Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. 🇰🇷 Your competitor has suddenly grown explosively. You don't know how they grew so fast. This SOP provides a complete competitor research framework from Wayback snapshots to X/Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "competitor research" | "competitive analysis" | "growth flywheel" | "propagation chain" | "competitive analysis" | "competitor analysis" | "social media teardown" | "Twitter propagation" | "content strategy analysis"