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Found 1,339 Skills
Physics in Blender 5.2 - rigid bodies (density mass, shapes, bake to keys), classic cloth presets and pinning, new node-based Cloth/Hair Dynamics (XPBD, Collider, effectors), Mantaflow fluids, hair curves, GN simulation zones, headless baking. Use for destruction, drapes, flags, falling objects, liquids, smoke, hair motion.
Applies behavioral science, cognitive biases, and psychological principles to marketing strategy, copy, pricing, and conversion optimization. Use when the user wants to improve persuasion in their copy, apply mental models to marketing decisions, understand why customers behave as they do, use psychology to improve conversion rates, or make any marketing more effective using behavioral science. Also triggers for 'loss aversion', 'social proof', 'scarcity', 'cognitive bias', 'Cialdini', 'Jobs to Be Done', 'behavioral design', or 'why do customers not buy'.
Build, audit, and fix @legendapp/state usage in React, React Native, and TypeScript. Use for observable ownership, useValue selectors, observer and reactive components, fine-grained subscriptions, effects, persistence and sync, settings or session stores, deprecated use$ or useSelector migration, and reducing re-renders in hot paths.
Reverse-engineer and rebuild any website — including its WebGL/WebGPU/canvas shader effects — into a clean local codebase. Use this whenever the user wants to clone, replicate, rebuild, reverse-engineer, or copy a website or landing page, especially designy sites with animated/shader/3D hero backgrounds. This is the top-level coordinator: it does recon, classifies every page surface as DOM vs GPU-rendered, routes plain layout to the dom-clone sub-skill and shader surfaces to the shader-extract sub-skill, scaffolds a build target on demand, composites the two tracks, and runs automated visual QA. It also produces a human-readable TEARDOWN.md (stack, measured design system, every effect with its exact runtime params and how it works) — pass --analyze-only to stop there. Trigger on "clone this site", "rebuild this page", "make a copy of this website", "reverse-engineer this landing page", "clone this but the background is some WebGL thing", any pixel-accurate site reproduction, AND on analysis asks: "how did they build this", "tear down this site", "site teardown", "break down this page", "what stack/animations does this site use", "how does this effect work", "website blueprint", "steal this website's design", "/site-teardown". Provide one or more target URLs.
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. What's inside: • 4-step research framework (website teardown → social media → traffic sources → ad spend) • 3-version website evolution analysis (V1 / Beta / Launch via Wayback Machine) • X/Twitter propagation chain mapping (4-phase model + single-post teardown template) • Growth flywheel 6-stage scoring system (Activation → Referral → Acquisition → Retention → Revenue → Product) • KOL identification framework (Traffic King / Topic Starter / Mindset Shifter) • Content effectiveness ranking (validated: Visual Demo > User Story > Competitor Comparison) • ICP deep analysis template + Freemium pricing teardown • Complete self-check checklist 🇨🇳 Your competitor just blew up. You have no idea how they did it. Should you tear down their official 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 restoration to six-stage 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 six-stage flywheel scoring. Built from 150+ AI startup analyses. 🇰🇷 Your competitor suddenly grew 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 six-stage flywheel scoring. Built from 150+ AI startup analyses. 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"
Based on the user's product knowledge base, target customer profile, real cases and current chat records, this skill diagnoses customer concerns in private chat and generates natural, credible, directly sendable Chinese replies. It is suitable for scenarios where customers say "too expensive", "I'll think about it", "afraid it won't work", "need to discuss with family", "no time now", delay payment, do not reply, or when users request analysis of chat records, objection handling, or advancing private chat deals. First use requires reading the knowledge base or completing product and target customer information; it must not fabricate cases, effects, scarcity, promises or pressure tactics.
Design and build two-pane experiences for iPhone Duo — the real pixel and point dimensions of each display and each half, the exact hinge callback types (onHingeChange / UIHingeInteraction), hinge-driven effects, pose-to-pattern mapping (companion pane, dual view, list-detail, tabletop controls), two-pane paywalls and fold-aware onboarding. Use when sizing a layout or asset for iPhone Duo, wiring a hinge callback, choosing what goes in each pane, or designing onboarding and purchase flows that span the fold.
Enforces feature state as one Notifier/AsyncNotifier/StreamNotifier ViewModel over an immutable state value with value equality, private mutable state mutated only through intent methods, derive-don't-store, a single write path through a repository, and unidirectional data flow; Riverpod 3.x is DI (providers-as-collaborators, ProviderScope overrides per flavor, throwing seams), reads split ref.watch/.select for display vs ref.read(p.notifier) in callbacks vs ref.listen for side effects, async modeled as AsyncValue, per-entity state family-keyed + autoDispose, and stale-closure captures / legacy StateProvider-StateNotifierProvider-ChangeNotifierProvider / get_it / package:provider are banned. Use when adding state to a screen, writing a feature controller/ViewModel, wiring providers or DI, deriving a read model from a stream, or reviewing rebuild/state-leak/disposal/write-path issues.
Debugging and acceptance of MaaFramework (MaaFW) applications (in development state, with devices online) — addressing node recognition failures, missed click targets (recognition success ≠ effective clicks), ROI calibration and threshold tuning, single-node run verification, stuck flows and controller connection troubleshooting, end-to-end acceptance, and pipeline_override effect validation; triage is conducted across five layers: configuration, recognition, action, flow, and acceptance, producing root cause conclusions and evidence, with fixes handed over to maafw-pipeline / maafw-interface / maafw-custom. Use when debugging or acceptance-testing a MaaFW application with a device attached — node recognition failures, clicks that miss, ROI calibration and threshold tuning, single-node run verification, stuck flows and controller connection issues, end-to-end acceptance, or pipeline_override effect checks; triage by layer (config / recognition / action / flow / acceptance), then hand the fix back to maafw-pipeline / maafw-interface / maafw-custom.
Post Superagent PR security scan findings as inline GitHub pull request review comments using the authenticated gh CLI. Use whenever you need to comment on a PR scan finding, manage Superagent PR labels, complete a GitHub check run, or avoid posting findings as general PR thread comments. Trigger for any Superagent sandbox PR scan handoff that owns GitHub side effects via gh.
Build or debug Roblox music, spatial audio, effects, text-to-speech, and speech-to-text. Use for audio graphs, asset permissions, playback problems, or migration from Sound.
Draws fun, sharp isometric stickers (flat fill, thick black outline, extruded slab side) and animates them on a library of After Effects grade keyframe presets, replayed exactly the way lottie-web plays them, so the motion is fluid character animation and never a made up wobble. Any palette (six named sets with Riso by default, two brand colours, one colour, hue shift, custom slots) and four facing directions. Produces icon modules that play live on canvas in any web app (a React component ships with the kit) and export to looping alpha video (webm, HEVC mp4) with a poster. Use for "/fun-isometric", "animated sticker icons", "fun isometric icons", "Lottie style icons", "onboarding illustrations that move", or any request for playful animated icons, empty state art or feature stickers.