All Skills

This skill should be used when the user is working with Effect-TS, asks to "write Effect code", "use Effect", "functional TypeScript", "handle errors with Effect", "dependency injection Effect", "Effect Layer", or needs expert-level guidance on Effect-TS patterns, error handling, concurrency, and best practices.

# Logs List List available log names in the project. ## Purpose Discovery of which logs are available to help refine search filters. ## Inputs - `project` (optional): The Google Cloud project ID to list logs from. - `bucket` (optional): List logs in a specific log bucket. - `view` (optional): L

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Generate or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.

Problem-solving strategies for analytic functions in complex analysis

Connect WhatsApp to your product with Kapso: onboard customers with setup links, detect connections, receive events via webhooks, and send messages/templates/media. Also manage WhatsApp Flows (create/update/publish, data endpoints, encryption). Use when integrating WhatsApp end-to-end.

Star all repositories from a GitHub user automatically. Use when: (1) Supporting open source creators, (2) Bulk discovery of useful projects, or (3) Automating GitHub engagement.

Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.

Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas.

Documentation structure audit worker (L3). Checks hierarchy & links, SSOT, proactive compression, requirements compliance, actuality (code vs docs), legacy cleanup, stack adaptation. Returns findings with severity, location, and recommendations.

Create HTML flowcharts and process diagrams with decision trees, color-coded stages, arrows, and swimlanes. Use when users request flowcharts, process diagrams, workflow visualizations, or decision trees.

World-class pytest engineer for Python: write/refactor tests, fix flakiness, design fixtures/markers, add coverage, speed up suites (collection/runtime), and optimize CI (GitHub Actions sharding, xdist parallelism, caching). Use when asked about pytest best practices, pytest 9.x features (subtests, strict mode, TOML config), pytest plugins (xdist/cov/asyncio/mock/httpx), or test performance/CI tuning.

Initialize new JPKB projects with standardized documentation and folder structure. JPKB-specific version with category folders and fixed base path. Use when creating a new project in the jpkb repository, when the user says "init project", "new project", or when the target is the JPKB projects folder.

Fixes content and semantic HTML issues — implements server-side rendering, heading hierarchy, semantic HTML elements, ARIA landmarks, image alt text, language attributes, descriptive link texts, and question-based headings so AI agents can navigate and understand page content via the accessibility tree. Use when asked to "fix semantic HTML", "add SSR", "fix heading hierarchy", "add alt text", "improve semantics score", "fix accessibility for AI", "add ARIA landmarks", "fix language attribute", "add question headings", or any semantic HTML task.

Identify and quantify cost savings across Azure subscriptions by analyzing actual costs, utilization metrics, and generating actionable optimization recommendations. USE FOR: optimize Azure costs, reduce Azure spending, reduce Azure expenses, analyze Azure costs, find cost savings, generate cost optimization report, find orphaned resources, rightsize VMs, cost analysis, reduce waste, Azure spending analysis, find unused resources, optimize Redis costs. DO NOT USE FOR: deploying resources (use azure-deploy), general Azure diagnostics (use azure-diagnostics), security issues (use azure-security)

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use when designing Swift model structs that need predictable, thread-safe state updates without mutation.

Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. The AI assistant should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

Fixes AI content discovery issues — creates and optimizes robots.txt, AI crawler directives, XML sitemaps, llms.txt, meta robots tags, and content freshness signals so AI systems can find, crawl, and understand website content. Use when asked to "fix robots.txt", "add llms.txt", "create a sitemap", "allow AI crawlers", "fix AI discoverability", "improve AI content discovery score", "make site crawlable by AI", "add dateModified", "fix content freshness", or any robots.txt, sitemap, or llms.txt task.

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.

Validate specifications, implementations, constitution compliance, or understanding. Includes spec quality checks, drift detection, and constitution enforcement.