Loading...
Loading...
Found 1,660 Skills
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
This skill provides comprehensive knowledge for building static websites with Hugo static site generator. It should be used when setting up Hugo projects (blogs, documentation sites, landing pages, portfolios), integrating Tailwind CSS v4 for custom styling, integrating headless CMS systems (Sveltia CMS or TinaCMS), deploying to Cloudflare Workers with Static Assets, configuring themes and templates, and preventing common Hugo setup errors. Use this skill when encountering these scenarios: scaffolding new Hugo sites, choosing between Hugo Extended and Standard editions, integrating Tailwind CSS v4 with Hugo Pipes, configuring hugo.yaml or hugo.toml files, integrating PaperMod or other themes via Git submodules, setting up Sveltia CMS or TinaCMS for content management, deploying to Cloudflare Workers or Pages, troubleshooting baseURL configuration, resolving theme installation errors, fixing frontmatter format issues (YAML vs TOML), preventing date-related build failures, setting up PostCSS with Hugo, or setting up CI/CD with GitHub Actions. Keywords: hugo, hugo-extended, static-site-generator, ssg, go-templates, papermod, goldmark, markdown, blog, documentation, docs-site, landing-page, sveltia-cms, tina-cms, headless-cms, cloudflare-workers, workers-static-assets, wrangler, hugo-server, hugo-build, frontmatter, yaml-frontmatter, toml-config, hugo-themes, hugo-modules, multilingual, i18n, github-actions, version-mismatch, baseurl-error, theme-not-found, tailwind, tailwind-v4, tailwind-css, hugo-pipes, postcss, css-framework, utility-css, hugo-tailwind, tailwind-integration, hugo-assets
AI video pipeline validator for Veo 3 feasibility, 8-second scene chunking, and shot continuity. USE WHEN: Validating screenplays for AI video generation, chunking scenes into 8-second segments, generating continuation prompts, scoring feasibility risk, or adding editing metadata. PIPELINE POSITION: screenwriter → **production-validator** → imagine/arch-v INPUT: XML from screenwriter skill (scene tags with duration, action, key_visuals) OUTPUT: Enhanced XML with validation, chunks, continuity tags, and Veo 3 prompts KEY FUNCTIONS: - Veo 3 feasibility validation with risk scoring (LOW/MEDIUM/HIGH/CRITICAL) - 8-second scene chunking with continuation prompts - Shot continuity tagging for editors - Technical optimization for AI-friendly alternatives
This skill should be used when creating or configuring CI/CD pipeline files for automated testing, building, and deployment. Use this for generating GitHub Actions workflows, GitLab CI configs, CircleCI configs, or other CI/CD platform configurations. Ideal for setting up automated pipelines for Node.js/Next.js applications, including linting, testing, building, and deploying to platforms like Vercel, Netlify, or AWS.
Pyspark Transformer - Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, pyspark transformer Part of the Data Pipelines skill category.
Design and implement Product Operations systems that help product teams scale (cadences, standard artifacts, insights pipelines, release enablement). Produces a Product Ops Operating System Pack (charter, operating model, rituals, templates, implementation plan). Use for product ops, product org scaling, standardizing roadmaps/check-ins, release management enablement.
CI/CD pipelines, infrastructure as code, and deployment strategies
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
Essential patterns, idioms, and gotchas for writing Nushell code. Use when writing Nushell scripts, functions, or working with Nushell's type system, pipelines, and data structures. Complements plugin development knowledge with practical usage patterns.
Use after creating PR - monitor CI pipeline, resolve failures cyclically until green or issue is identified as unresolvable
Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI applications, or orchestrate ML models. Triggers on: "build a workflow", "create a pipeline", "connect models", "daggr", "chain Spaces", "AI pipeline".
Apache Airflow workflow orchestration. Use for data pipelines.