threejs
claudeComplete Three.js skill set: fundamentals, geometry, materials, lighting, textures, animation, loaders, shaders, post-processing, and interaction.
10 skills
Profiling and optimizing CPU, memory, I/O, and rendering hotspots with measure-first methodology.
Plugin performance-expert from marketplace ai-expert-skills in Miaoge-Ge/coding-agent-skills. Commands read from the repo's manifest — 1 month ago.
performance-expertExpert performance optimization across CPU, memory, I/O, and rendering. Trigger keywords: performance, slow, profiling, profiler, optimize, latency, throughput, p99, memory leak, allocation, bottleneck, benchmark, flamegraph, N+1, cache. Use to diagnose and fix performance problems with a measure-fi
Complete Three.js skill set: fundamentals, geometry, materials, lighting, textures, animation, loaders, shaders, post-processing, and interaction.
10 skills
Web accessibility (a11y): WCAG, semantic HTML, ARIA, keyboard nav, and screen-reader support.
1 skill
Designing REST and GraphQL APIs: resource modeling, versioning, pagination, errors, and contracts.
1 skill
Robust shell scripts: safe Bash, quoting, error handling, and portable POSIX patterns.
1 skill
Algorithmic problem solving, complexity analysis, and optimization for LeetCode/Codeforces/AtCoder.
1 skill
Modern C++ (17/20/23) expert for safe, performant code, templates, and UB/memory diagnosis.
1 skill
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
1 command · 6 agents
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.
6 skills
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
8 skills · 1 MCP server
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
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