Machine Learning

Build Python APIs on Cloudflare Workers using pywrangler CLI and WorkerEntrypoint class pattern.Includes Python Workflows for multi-step DAG automation with @step.do decorators.Use when: building Python serverless APIs, migrating Python code to edge, using Python ML libraries,or creating durable workflows. Prevents async errors, package compatibility issues, handler pattern mistakes.

Build type-safe D1 databases with Drizzle ORM for Cloudflare Workers. Includes schema definition, migrationswith Drizzle Kit, relations, and D1 batch API patterns. Prevents 12 errors including SQL BEGIN failures.Use when: defining D1 schemas, managing migrations, writing type-safe queries, implementing relations orprepared statements, using batch API for transactions, or troubleshooting D1_ERROR, BEGIN TRANSACTION,foreign keys, migration apply, or schema inference errors.Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign keyconstraint failures during migrations, module import errors with Wrangler, D1 binding not found,migration apply failures, schema TypeScript inference errors, prepared statement caching issues,transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found,remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing.Keywords: drizzle orm, drizzle d1, type-safe sql, drizzle schema, drizzle migration

Optimize Next.js App Router data fetching by converting slow client-side fetching to fast server-side fetching using React Server Components (RSC).Use when:- User reports slow initial page load with loading spinners- Page uses useEffect + useState for data fetching- StoreContext/useStore pattern causes waterfall fetching- Need to improve SEO (content not in initial HTML)- Converting "use client" pages to Server ComponentsTriggers: "slow loading", "optimize fetching", "SSR data", "RSC optimization","remove loading spinner", "server-side fetch", "convert to server component","data fetch lambat", "loading lama"

Set up Sveltia CMS - the lightweight Git-backed CMS successor to Decap/Netlify CMS with 5x smaller bundle (300 KB), GraphQL performance, and 270+ fixed predecessor issues. Framework-agnostic for Hugo, Jekyll, 11ty, Gatsby, Astro.Use when: adding CMS to static sites, migrating from Decap/Netlify CMS, enabling non-technical editors, or troubleshooting OAuth authentication failures, YAML parse errors, CORS/COOP policy problems, content not listing issues.

Build full-stack React applications with TanStack Start on Cloudflare Workers. Type-safe routing, server functions, SSR/streaming, and seamless D1/KV/R2 integration.Use when: building full-stack React apps, need SSR with Cloudflare Workers, want type-safe server functions, or migrating from Next.js.RC status - v1.0 stable pending. Monitor tanstack/router#5734 (memory leak) before production use.

Build and deploy Streamlit apps natively in Snowflake with production-ready templates. Covers project scaffolding (snowflake.yml, environment.yml), Snowpark session patterns, multi-page structure, and Marketplace publishing as Native Apps.Use when building data apps on Snowflake, deploying Streamlit in Snowflake (SiS), or publishing to Snowflake Marketplace. Prevents package channel errors, outdated Streamlit versions, and authentication issues.

Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.

Control Chrome browser: take screenshots, click buttons, fill forms, download images, inspect pages, capture network requests. Use when user says: 'screenshot this', 'click the button', 'fill the form', 'download that image', 'what page am I on', 'check the browser', 'look at my screen', 'interact with the website', 'capture the page', 'get the HTML', 'inspect element'. Provides MCP tool discovery for tabz_* browser automation tools.

Advanced visual regression testing with pixel-perfect comparison, AI-powered diff analysis, responsive design validation, and cross-browser visual consistency. Use when detecting UI regressions, validating designs, or ensuring visual consistency.

Comprehensive knowledge of dotfiles management, configuration file organization, symlink strategies, and cross-platform environment setup. Use when the user needs to organize, sync, or deploy dotfiles and development configurations.

Bump version numbers across all DecentPaste config files (package.json, Cargo.toml, tauri.conf.json, downloads.json). Use for version updates without building.

File naming conventions, directory structure, and YAML frontmatter standards for CC-DevFlow. Consolidates shared conventions from all agents.

Reproduce, isolate, and fix a bug (or failing build/test), then summarize root cause, fix, and verification steps. Use when the user reports a bug, regression, or failing build/test and wants a fix.

Use when wiring cross-component dependencies in stack YAML. Covers !terraform.state syntax for passing outputs between components without remote-state lookups.

Generates documentation files including NotebookLM YAML and slide content. Use when user mentions ドキュメント, document, YAML, NotebookLM, スライド, slide, プレゼン. Do NOT load for: 実装作業, コード修正, レビュー, デプロイ.

Use when deploying components via Atmos stacks, configuring stack YAML, or understanding inheritance patterns. Covers catalog defaults, abstract components, stack imports, and how to wire components into target stacks.

Creates unique, production-grade frontend interfaces with exceptional design quality. Use when user asks to build web components, pages, materials, posters, or applications (e.g., websites, landing pages, dashboards, React components, HTML/CSS layouts, or styling/beautifying any web UI). Generates creative, polished code and UI designs that avoid mediocre AI aesthetics.

Create distributable Python packages with proper structure and publishing.Triggers: Python packaging, pyproject.toml, uv, pip, PyPI, distribution, CLI tools,entry points, package structure, publishingUse when: creating Python packages, configuring pyproject.toml, setting upentry points, publishing to PyPI, CI/CD for packagesDO NOT use when: testing packages - use python-testing instead.DO NOT use when: optimizing package performance - use python-performance.Consult this skill for Python package creation and distribution.

Systematically uncover and fix bugs using language-specific expertise andreproducible evidence.Triggers: bug hunting, defect detection, debugging, fix verification, bug fix,regression check, error investigation, defect documentationUse when: deep bug hunting needed, documenting defects, verifying fixes,systematic debugging requiredDO NOT use when: test coverage audit - use test-review instead.DO NOT use when: architecture issues - use architecture-review.Use this skill for systematic bug hunting with evidence trails.

Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.