React 最佳实践
vercel-react-best-practices
优化 React 与 Next.js 应用的渲染、加载和运行性能。
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vercel-react-best-practices
优化 React 与 Next.js 应用的渲染、加载和运行性能。
setup-matt-pocock-skills
【开发与工程】Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
reverse-engineer-anything
【数据与研究】Reverse engineer native, managed, Electron/JavaScript, packaged, firmware, and browser targets with REA. Use shipped-artifact or requested runtime evidence to explain features, compare versions, decompile code, or guide a reconstruction. Skip REA for ordinary source-repository architecture analysis.
gstack-openclaw-retro
【开发与工程】Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.
retro
【效率与协作】Weekly engineering retrospective. (gstack)
release
【开发与工程】Coordinate a full Paperclip release across engineering verification, npm, GitHub, smoke testing, and announcement follow-up. Use when leadership asks to ship a release, not merely to discuss versioning.
enginemailer-automation
【开发与工程】Automate Enginemailer tasks via Rube MCP (Composio). Always search tools first for current schemas.
shipengine-automation
【开发与工程】Automate Shipengine tasks via Rube MCP (Composio). Always search tools first for current schemas.
geo-meta
【文档与办公】Use when auditing locally-focused or regionally-targeted pages for geo targeting signals, particularly on sites targeting audiences through Bing or regional search engines. Note that these meta tags have no documented effect on Google's ranking.
parameters
【效率与协作】Use when auditing URL structure or configuring search engine handling of filtered, sorted, or tracked URLs. Applies to e-commerce sites, filtered content directories, and any site appending tracking or session parameters.
manimce-best-practices
【开发与工程】Trigger when: (1) User mentions "manim" or "Manim Community" or "ManimCE", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes. Best practices for Manim Community Edition - the community-maintained Python animation engine. Covers Scene structure, animatio…
ai-seo
【设计与创意】When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI …
free-tools
【设计与创意】When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "gr…
cobrapy
【效率与协作】Performs constraint-based metabolic modeling with COBRApy, including FBA, pFBA, FVA, gene knockouts, flux sampling, growth media, production envelopes, gap filling, and SBML model validation for systems biology and metabolic engineering.
glycoengineering
【效率与协作】Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows. Use for glycoprotein engineering, antibody Fc glycosylation, glycan shielding, and site-specific glycoproteomics interpretation.
pymoo
【数据与研究】Solves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.
torchdrug
【数据与研究】Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Engine.
vaex
【设计与创意】Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.