Topic: ai
10,359 skills in this topic.
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performance-at-scale
Spatial indexing and world streaming for Three.js building games with thousands of pieces. Use when optimizing building games, implementing spatial queries, chunk loading, or profiling performance. Includes spatial hash grids, octrees, chunk managers, and benchmarking tools.
Bbeierle12/Skill-MCP-Claude 7
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postfx-composer
EffectComposer setup and architecture for Three.js post-processing pipelines. Use when setting up multi-pass rendering, combining effects, creating custom passes, managing render targets, or building reusable effect stacks. Foundation skill for all post-processing work.
Bbeierle12/Skill-MCP-Claude 7
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postfx-effects
Post-processing visual effects including chromatic aberration, vignette, depth of field, film grain, color grading, and LUT support. Use when adding cinematic polish, retro aesthetics, camera simulation, or atmospheric effects to 3D scenes. Essential for mood, style, and visual storytelling.
Bbeierle12/Skill-MCP-Claude 7
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r3f-drei
Bbeierle12/Skill-MCP-Claude 7
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r3f-fundamentals
React Three Fiber core setup, Canvas configuration, scene hierarchy, camera systems, lighting, render loop, and React integration patterns. Use when setting up a new R3F project, configuring the Canvas component, managing scene structure, or understanding the declarative Three.js-in-React paradigm. The foundational skill that all other R3F skills depend on.
Bbeierle12/Skill-MCP-Claude 7
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r3f-materials
Three.js materials in R3F, built-in materials (Standard, Physical, Basic, etc.), ShaderMaterial with custom GLSL, uniforms binding and animation, and material properties. Use when choosing materials, creating custom shaders, or binding dynamic uniforms.
Bbeierle12/Skill-MCP-Claude 7
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shader-fundamentals
GLSL shader fundamentals—vertex and fragment shaders, uniforms, varyings, attributes, coordinate systems, built-in variables, and data types. Use when writing custom shaders, understanding the graphics pipeline, or debugging shader code. The foundational skill for all shader work.
Bbeierle12/Skill-MCP-Claude 7
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shader-noise
Procedural noise functions in GLSL—Perlin, simplex, Worley/cellular, value noise, FBM (Fractal Brownian Motion), turbulence, and domain warping. Use when creating organic textures, terrain, clouds, water, fire, or any natural-looking procedural patterns.
Bbeierle12/Skill-MCP-Claude 7
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shader-router
Decision framework for GLSL shader projects. Routes to specialized shader skills (fundamentals, noise, SDF, effects) based on task requirements. Use when starting a shader project or needing guidance on which shader techniques to combine.
Bbeierle12/Skill-MCP-Claude 7
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shader-sdf
Signed Distance Functions (SDFs) in GLSL—2D/3D shape primitives, boolean operations (union, intersection, subtraction), smooth blending, repetition, and raymarching fundamentals. Use when creating procedural shapes, text effects, smooth morphing, or raymarched 3D scenes.
Bbeierle12/Skill-MCP-Claude 7
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Implements scientific method for debugging with root cause analysis.
Bbeierle12/Skill-MCP-Claude 7
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test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle with strict discipline against rationalization.
Bbeierle12/Skill-MCP-Claude 7
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web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Bbeierle12/Skill-MCP-Claude 7
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writing-plans
Use after brainstorming/design phase to create detailed implementation plans. Creates step-by-step plans clear enough for execution by any developer.
Bbeierle12/Skill-MCP-Claude 7
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issue-tree-builder
McKinsey-style issue tree framework for breaking down complex problems into MECE (Mutually Exclusive, Collectively Exhaustive) components. Use when users need to decompose strategic questions, structure analysis, create work plans, or prepare for case interviews. Apply hypothesis-driven approach to problem-solving.
sruthir28/enterprise-ai-skills 31
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prioritization
sruthir28/enterprise-ai-skills 31
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scpr-framework
SCPR (Situation-Complication-Problem-Recommendation) framework for structured problem solving and executive communication. Use when users need to structure strategic arguments, analyze business situations, create executive summaries, or develop clear problem statements using McKinsey-style communication. Apply when structuring recommendations, writing memos, or organizing strategic thinking.
sruthir28/enterprise-ai-skills 31
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storyline-builder
McKinsey-style storyline framework for building presentation decks. Use when users need to structure presentations, pitch decks, or strategic communications. Creates logical flow where each storyline becomes a slide title, progressing from problem to solution.
sruthir28/enterprise-ai-skills 31
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local-skills-mcp-guide
Repository implementation guide for the local-skills-mcp codebase. Use when asked: how src/index.ts and src/skill-loader.ts work together; where MCP tool handlers are defined and registered; how getAllSkillsDirectories priority and override behavior works; how local-skills-mcp discovers skills and merges metadata across directories; where validate_skill and evaluate_skill are implemented in this repository; or how integration tests are structured in this local-skills-mcp project.
kdpa-llc/local-skills-mcp 23
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local-skills-mcp-usage
Operational guide for using Local Skills MCP in day-to-day projects. Use when asked: where skills should live (~/.claude/skills, ./.claude/skills, ./skills, SKILLS_DIR); directory precedence and override rules; how to configure local-skills-mcp in Claude Code mcp.json; fastest way to create a new skill folder and make it discoverable; how to add project skills to git so the team gets them; or how Local Skills MCP hot-reloads skill edits without restarting.
kdpa-llc/local-skills-mcp 23
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skill-creator
Use this skill when building, writing, reviewing, or fixing a SKILL.md file for a new or existing skill. Covers choosing skill names, writing and correcting YAML frontmatter (name and description fields), crafting effective 'Use when' trigger phrases, structuring skill body instructions, improving an existing skill's routing quality with better trigger keywords, and interpreting or evaluating a skill description against an eval set using validate_skill or evaluate_skill.
kdpa-llc/local-skills-mcp 23
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argentic-framework-development
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
angkira/argentic 5
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artifact-management
Artifact repositories with Nexus, Artifactory, and container registries for build artifact storage
pluginagentmarketplace/custom-plugin-devops 2
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cicd-skill
CI/CD pipelines with Git, GitHub Actions, GitLab CI, Jenkins, and deployment strategies.
pluginagentmarketplace/custom-plugin-devops 2