Earthly E2E validation for YAML schema contracts. TRIGGERS - schema validation, YAML schema, schema contracts, regenerate types.
Production-ready database schema patterns for AI applications including chat/conversation schemas, RAG document storage with pgvector, multi-tenant organization models, user…
Review database schemas AND in-code data structures for correctness, integrity, performance, scalability, evolvability, simplicity, and design quality.
Schema system architecture and patterns for the docx_builder project. Apply when working with schema_loader.py, data_exchange.py, YAML schema files, or any code that touches field…
Use when writing the two front-matter artifacts Science (AAAS) demands — the one-sentence summary for the table of contents and the ≤125-word single-paragraph abstract — both…
Use when converting a reference list to Science (AAAS) numbered style — italic numbers cited in order of appearance, a single continuous list that the Supplementary Materials…
Use to write the editor-facing cover letter for Science — a tight, significance-forward pitch that helps the editor decide in minutes whether to send the paper out for review.
Use to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a compliant data-availability statement, and…
Use to finalize Science display items — panel/word budget, column-width sizing, minimum font sizes, color-accessibility, and showing the data (points over bars).
Use first, before any writing, to stress-test whether a result clears Science's desk-reject filter — broad significance and general interest across disciplines.
Use to lock the conceptual advance and the "why now" before drafting — converts a correct result into a Science-shaped narrative that leads with the advance, not the background.
Use after Science reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits.
Use as the final preflight before submitting to Science — a complete checklist across significance, format, figures, statistics, data, references, and required files.
Use when deciding which sci-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Science (AAAS).
Use to choose the Science format (Research Article vs Report) and hold its length and structure budgets — main text, word/figure caps, and what belongs in Supplementary Materials.
Python image processing for microscopy and bioimage analysis. Read/write images, filter (Gaussian, median, LoG), segment (thresholding, watershed, active contours), measure region…
Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction),…
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.
A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit…
Declarative YAML-based AI agent lifecycle management with tmux/screen, SSH remote deployment, modular auto-accept, and live state inspection.
App developer SDK — scaffold, validate, dev-install, standalone shell, file operations, and cloud SDK for building SciTeX workspace apps.
Unified container management for Apptainer/Singularity + Docker — 14 MCP tools for the reproducible-science lifecycle.
Execution-context detection — `is_notebook()`, `is_ipython()`, `is_script()`, `detect_environment()`.
Dictionary utilities for scientific Python — attribute-access dicts, conflict-aware merging, nested flattening, and pretty rendering.
General-purpose async event bus. Emit typed events (`scitex_events.emit("test_complete", project="...", status="success", payload={...})`) from any CLI/HPC/Python process; events…
IPython-style introspection for any Python package. `q(obj)` mirrors IPython's `obj?` (signature + type hints + docstring summary). `qq(obj)` mirrors `obj??` (full source).
Jupyter notebook reproducibility — verify execution via Clew sessions, scan for untracked I/O (`scitex.io` calls outside `@scitex.session`), reconstruct the true cell-dependency…
One-call alerting across 9 backends — audio TTS (spoken notification), desktop popup, emacs minibuffer, matplotlib banner, playwright browser toast, email (SMTP), webhook (HTTP…
Agent Communication Hub — real-time WebSocket messaging between AI agents across machines with channel routing, @mentions, presence, and persistence.
Project-aware path utilities for scientific Python — finding files/dirs/git roots, SciTeX `script_out/` session-path conventions, versioned directories, and symlink hygiene.
System resource introspection + monitoring. `get_specs()` returns full hardware/OS/Python snapshot (CPU, memory, disk, network, GPU, OS, Python version) as a nested dict.
Type aliases and runtime type guards for scientific Python — unions across NumPy/pandas/torch arrays, matplotlib color inputs, and list-of-T predicates.
Project-specific UI refactor workflow for the Scoop news platform in /home/bender/classwork/Thesis. Use when updating Scoop frontend layouts, globe UX, research workspace, and…
Exploratory workflow for understanding problem spaces and drafting feature proposals, refactorings, or complex bug-fixes.
Use when building or reviewing Scout web UI, dashboard UX, demo flows, visual polish, accessibility, responsive layout, and product screens for the Codex Hackathon project.
Scrape sites protected by Akamai/Cloudflare bot detection by launching real Chrome with remote debugging (CDP).
Веб-скрапинг через Scrape.do. Обходит блокировки и CAPTCHA. АВТОМАТИЧЕСКИ используй при ошибках WebFetch: 403, 401, 429, timeout, access denied, Cloudflare block.
ScrapeGraphAI is a Python web scraping library that uses LLMs and directed graph logic to create intelligent scraping pipelines.
Cloud browser automation CLI for AI agents powered by Scrapeless. Use when the user needs to interact with websites using cloud browsers, including navigating pages, filling…
Automate Scrapfly tasks via Rube MCP (Composio). Always search tools first for current schemas. — from engineering/cloud-platforms
Receive and verify Scrapfly webhooks. Use when setting up Scrapfly webhook handlers for async scrape, extraction, screenshot, or crawler jobs, debugging…
Interfaces with the ScrapingBee REST API for JavaScript rendering and Google SERP extraction. Uses custom_google parameter for search result parsing and screenshot endpoint for…
Web scraping with Scrapling - HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python.
Scrapling is an adaptive Python web scraping framework that automatically handles website structure changes.
Scrapling CLI(명령줄) 도구로 터미널에서 웹 스크래핑하는 방법. 코드 작성 없이 scrapling extract 명령으로 웹페이지를 HTML/Markdown/텍스트로 추출하고, scrapling shell로 인터랙티브 스크래핑 REPL을 실행하며, scrapling install로 브라우저 의존성을 설치한다.
Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering.
Orchestrates large-scale web crawling using Scrapy with scrapy-redis for distributed job queuing. Integrates Splash for JavaScript rendering, stores results in MongoDB via…
Manages Scrapy spider deployments via Scrapyd API with custom item pipelines for MongoDB ingestion, deduplication via MinHash LSH, and rotating proxy middleware configuration.
Scrapy is a high-level Python framework for web crawling and structured data extraction. It is a strong fit for agent workflows that need repeatable scraping, asynchronous…
Generates Scrapy spider classes with CSS/XPath selectors, item pipelines, and middleware configurations for structured web scraping.
Builds and manages Scrapy web scraping spiders with custom item pipelines. Supports Splash rendering for JavaScript pages, rotating proxies via scrapy-rotating-proxies, and export…
Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.
Manages Scrapy spider deployments and job scheduling on ScrapyCloud via the Scrapinghub API. Handles spider argument injection, job prioritization, and item export to S3 or…
Domain-first folder structure reflecting business capabilities. Trigger: When structuring projects or refactoring toward use-case-driven boundaries.
Interactive screen reader simulation for education and debugging. Parses HTML/JSX and produces step-by-step narration of what a screen reader would announce.
Practical guide to testing web applications with screen readers for comprehensive accessibility validation.
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring…
Retrieve and analyze Screenpipe CLI backend logs and desktop app logs for debugging