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Found 1,020 Skills
Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).
Employer-side DevRel hiring - writes the job posting and outcome-based scorecard, designs the interview loop and question bank across the field's formats (presentation round, take-homes, DevRel-opinion round), scores a portfolio against the six-signal rubric, designs a paid work sample instead of unpaid spec work, and builds a 30-60-90 ramp anchored on a friction log. Splits by company type and funding driver. Use when the user asks how to hire a developer advocate, write a DevRel job posting, design a loop for a community manager or educator, evaluate a candidate's portfolio, or plan a ramp. Do NOT use for candidate-side prep (samber/developer-relations-skills@devrel-career) or org design (samber/developer-relations-skills@devrel-team-structure).
Generate product changelog entries, X/Twitter posts, and Slack announcements for Leather wallet releases. Use when creating release communications including changelog entries for app.leather.io/changelog, announcement tweets (single or threads), and community Slack posts. Inputs may include verbal feature descriptions, Linear projects, or GitHub PRs.
Comprehensive skill for Adobe Substance 3D Painter texturing and material creation workflow. Use this skill when creating PBR materials, exporting textures for web/game engines, optimizing 3D assets for real-time rendering, or automating texture workflows. Triggers on tasks involving Substance 3D Painter, PBR texturing, material creation, texture export for Three.js, Babylon.js, Unity, Unreal, glTF optimization, or Python API automation. Creates optimized textures for threejs-webgl, react-three-fiber, and babylonjs-engine materials.
Researches any project idea against live data from GitHub and Dev.to to surface what already exists, how mature the space is, and where the real opportunity lives. Use when a developer describes something they want to build and wants to know if it's been done before. Triggers on phrases like "validate my idea", "has this been built", "is this already a thing", "what exists for X", "should I build this", "is this idea original", "check if my project exists", "what are the alternatives to what I want to build", "is the market saturated for X", or any request to research the competitive landscape before starting a project.
Simplify an already-bounded code or documentation area without changing intended behavior. Use for deletion, direct-flow refactors, wrapper or branch reduction, clearer data models, reduced mutable state, or concrete simplification findings; use improve-architecture when the opportunity or design is still unclear.
Generate 3D assets with Tencent's Hunyuan3D family — open-weight self-hosted models (Hunyuan3D-2.0/2.1 and HunyuanWorld / HY-World for scenes) and the hosted, closed API tiers (2.5, PolyGen, 3.0/3.1 via Tencent Cloud and third-party hosts). Use when a task involves image-to-3D or text-to-3D mesh generation, the shape-then-texture (DiT + Paint / PBR) workflow, choosing between self-hosting and a hosted API, checking the Community License's Territory (EU/UK/South Korea) and 1M-MAU commercial gate, sizing GPU/VRAM for local inference, ComfyUI integration, or reviewing and post-processing (retopology, UVs, decimation) the meshes these models produce. Not for image, video, or general LLM tasks.
Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
Give your agent a budget, a target, and a deadline — it does the rest. Orchestrates DSL + Opportunity Scanner + Emerging Movers into a full autonomous trading loop on Hyperliquid. Race condition prevention, conviction collapse cuts, cross-margin buffer math, speed filter. 3 risk profiles: conservative, moderate, aggressive. Use when setting up autonomous trading, creating a trading strategy, or running a scan-evaluate-trade-protect loop.
Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.
Solve quantitative problems in biophysics, pharmacokinetics, epidemiology, toxicology, population genetics, and statistical mechanics. Provides reasoning strategies and Python templates for calculations alongside ToolUniverse data lookups. Use when users ask about drug dosing, half-life decay, radioactive tracers, R0, herd immunity, diffusion, Hardy-Weinberg, binding equilibria, or any computation-heavy biology/chemistry question.
按商品 ASIN 深度分析亚马逊细分市场，涵盖垄断程度、品牌集中度、新品成功率和市场机会评分。当用户提到按ASIN分析细分市场、ASIN市场调研、ASIN所属Niche查询、垄断评估、品牌集中度分析、新品成功率、市场需求评分、竞争格局、亚马逊子市场探索、ASIN niche analysis, niche by ASIN, monopoly level, brand concentration, new product success rate, market opportunity score, competitive landscape, Jiimore data时触发此技能。即使用户未明确提及"细分市场"或"ASIN"，只要其需求涉及根据某个商品ASIN评估其所在细分市场的竞争格局、品牌密度或机会潜力，也应触发此技能。