Loading...
Loading...
Found 4,751 Skills
This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.
Send crypto payouts and manage referral programs with PayRam. Self-hosted payout infrastructure — no KYC, no intermediary, no fund holds. Create payouts to any wallet across Ethereum, Base, Polygon, Tron, Bitcoin. Built-in affiliate program with automated reward distribution. Use when sending crypto payouts to users, building referral/affiliate programs, or needing integrated payment and payout infrastructure.
Writes and audits technical documentation using Diataxis, Stripe-style clarity, and the Eight Rules. 52 rules across 9 categories covering voice, structure, clarity, code examples, formatting, navigation, scanability, content hygiene, and review. Use when writing docs, creating READMEs, documenting APIs, writing tutorials, building a docs site, or auditing documentation quality.
Master dark mode UI design with atmospheric theming, WCAG accessibility, and cross-platform best practices. Specializes in weather/sky/ocean-inspired color systems that adapt to time of day and environmental conditions.
Develops CSS and LESS for Magento 2 with responsive design and performance optimization. Use when styling themes, working with LESS, implementing responsive design, or optimizing CSS performance. Masters modern CSS techniques, LESS preprocessing, and cross-browser compatibility.
Execute end-to-end tests covering full user workflows across frontend and backend. Use when performing specialized testing. Trigger with phrases like "run end-to-end tests", "test user flows", or "execute E2E suite".
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 155 rules across 10+ AI tools.
Run Google's OSV-Scanner for Software Composition Analysis. Scans lockfiles and SBOMs across all major ecosystems (npm, PyPI, Maven, Go, Cargo, NuGet, RubyGems) for known vulnerabilities.
Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics. Computes treeness, RCV, treeness/RCV, parsimony informative sites, evolutionary rate, DVMC, tree length, alignment gap statistics, GC content, and bootstrap support using PhyKIT, Biopython, and DendroPy. Performs NJ/UPGMA/parsimony tree construction, Robinson-Foulds distance, Mann-Whitney U tests, and batch analysis across gene families. Integrates with ToolUniverse for sequence retrieval (NCBI, UniProt, Ensembl) and tree annotation. Use when processing FASTA/PHYLIP/Nexus/Newick files, computing phylogenetic metrics, comparing taxa groups, or answering questions about alignments, trees, parsimony, or molecular evolution.
Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
Semantic and multi-modal search across documents using LanceDB vector embeddings. Use when searching knowledge bases, finding information semantically, ingesting documents for RAG, or performing vector similarity search. Triggers on "search documents", "semantic search", "find in knowledge base", "vector search", "index documents", "LanceDB", or RAG/embedding operations.
Manage backlog items across multiple backends (GitHub Issues, Linear, Beads). Configure task_management in .agents.yml.