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Found 292 Skills
three.js scene graph objects: Object3D transforms and hierarchy, Group, Mesh, InstancedMesh, SkinnedMesh, BatchedMesh, LOD, Line/LineLoop/LineSegments, Points, Sprite, Bone, Skeleton, ClippingGroup; interaction via Raycaster, Layers masks, and EventDispatcher patterns. Merges the former interaction scope—use for picking and layers; for pure vector math without scene graph use threejs-math; for playing skeletal clips use threejs-animation; for frustum culling internals see camera docs.
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
File-based memory system using Tiago Forte's PARA method. Use this skill whenever you need to store, retrieve, update, or organize knowledge across sessions. Covers three memory layers: (1) Knowledge graph in PARA folders with atomic YAML facts, (2) Daily notes as raw timeline, (3) Tacit knowledge about user patterns. Also handles planning files, memory decay, weekly synthesis, and recall via qmd. Trigger on any memory operation: saving facts, writing daily notes, creating entities, running weekly synthesis, recalling past context, or managing plans.
The full checklist for keeping several accounts you own or are authorized to run from being correlated into one operator - profile, cookies, exit IP, timezone, WebRTC, account metadata, payment instrument, behaviour - not just the browser fingerprint. Use when someone runs multiple social / marketplace / ad accounts from one machine and wants to know what actually ties them together, why an isolation setup failed even though the fingerprint tested clean, how to pair one sticky proxy per account, how to verify a profile before trusting it (CreepJS, whoer, browserleaks WebRTC, pixelscan, liarjs), or which layers no browser can fix - shared recovery email, shared payout account, identical posting cadence. Also for 'account association', 'accounts got linked', 'multi-account setup', 'one proxy per account', 'profile isolation checklist', '账号关联', '防关联', '多账号运营'. The browser layer is implemented by the anti-detect-browser skill; MCP control is browser-mcp-agent.
Three.js and WebGL adapter patterns for HyperFrames. Use when creating deterministic Three.js scenes, WebGL canvas layers, AnimationMixer timelines, camera motion, shader-driven visuals, or canvas renders that respond to HyperFrames hf-seek events.
Keep web animations inside the frame budget — animate composite-only properties, keep motion off the main thread when the page is busy, and find the cause when an animation drops frames. Covers the layout/paint/composite pipeline, cheaper property swaps, CSS vs WAAPI vs requestAnimationFrame, Framer Motion's hardware-accelerated path, React re-rendering per frame, inherited CSS variable recalculation, blur cost, and when `will-change` actually helps. Use when an animation is janky, choppy, stutters, or drops frames; when choosing which property to animate; when deciding between CSS and JS animation on performance grounds; or when reaching for `will-change` or GPU layers. For choosing easing, duration, or whether to animate at all use animate; for reviewing motion as a whole use review-animations.
Designs the account segmentation model between ICP and tier structure - which firmographic, technographic, intent and jobs-to-be-done signal layers define account fit, the weighted fit score calibrated from 12 months of closed-won deals, fit and readiness as separate axes, whitespace and expansion mapping, and how the model is encoded, routed and re-scored in the CRM. Covers B2B account segmentation and B2C value-based customer segmentation. Use whenever the user mentions account scoring, fit score, whitespace, book-of-business carve-up, or reps picking accounts on gut feel, even without the word segmentation. Do NOT use for tier cutoffs and coverage (mbfinotti/sales-skills@sales-account-tiering) or ICP criteria (mbfinotti/sales-skills@sales-icp-definition).
Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platform audience floors, budgeted to the learning threshold, and kept from overlapping by exclusion rules. Use whenever the user mentions ad targeting, who to target with ads, audience tiers or layers, broad vs. layered targeting, audience overlap between campaigns, or mapping an ICP onto ad audiences - even if they never say 'audience'. Covers B2B and B2C. Do NOT use to pick the seed customers behind a lookalike (mbfinotti/advertising-skills@lookalike-audience-seeds) or to sequence retargeting messages (mbfinotti/advertising-skills@retargeting-funnel).
Skill for creating auth layers in TypeScript/JavaScript apps using Better Auth.
Official Feature-Sliced Design (FSD) v2.1 skill for applying the methodology to frontend projects. Use when the task involves organizing project structure with FSD layers, deciding where code belongs, defining public APIs and import boundaries, resolving cross-imports or evaluating the @x pattern, deciding whether logic should remain local or be extracted, migrating from FSD v2.0 or a non-FSD codebase, integrating FSD with frameworks, or implementing common patterns such as auth, API handling, Redux, and React Query within FSD.
dontbesilent Personal Decision System. Turn any domain requiring long-term tracking (business, relationships, health, career, learning, investment, etc.) into a local knowledge project: four-layer structure, source tags, immutable snapshots, and a concept library that extracts patterns. Triggers: /dbs-decision, /决策系统, /决策立案, /结果回填, /状态画像 Personal decision system. Turns any long-running domain into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time. Trigger: /dbs-decision, /决策系统, /决策立案, /结果回填, /状态画像
Use ktx to build a self-improving context layer that teaches AI agents how to query data warehouses accurately with approved metrics, semantic layers, and business knowledge