Skill UI

This technique helps users solve highly complex movie trivia or cinematic research questions that involve multiple, intertwined constraints (such as specific awards, historical eras, directors, or plot elements). Instead of attempting to input all variables at once, it teaches the methodology of decomposing the main question into 2-3 independent, searchable dimensions, ensuring a systematic and accurate search process.

This skill is designed for scenarios requiring complex, multi-step task decomposition. Instead of asking an Agent to perform the task directly, it guides the process of requesting a clear, actionable, sequential execution plan from a stronger Agent. The core function emphasizes that the user must execute the generated plan themselves, ensuring the output is a roadmap, not a final answer.

This comprehensive coach guides users through the entire career lifecycle, from self-assessment and discovering life purpose (Ikigai) to executing advanced job search strategies. It covers writing impactful resumes, mastering salary negotiation, building a strong personal brand, navigating career pivots, and maintaining work-life balance. Ideal for fresh graduates, mid-career professionals, and anyone seeking intentional career direction.

A comprehensive guide for configuring ArgoCD within KubeSphere DevOps. It details implementing GitOps continuous deployment, covering application management, multi-cluster setup, SSO integration via Dex, and best practices for managing application state synchronization from Git repositories. Learn the differences between direct ArgoCD and KubeSphere's tenant-friendly GitOps application creation.

This skill teaches the methodology of forming concrete hypotheses about specific entities (such as film titles, director names, or historical events) when presented with constraints. Instead of performing broad, generic searches, users should leverage their world knowledge to narrow down possibilities, turning a wide query into a precise, verifiable search query. This is particularly effective for academic or historical research.

Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L using PDB or sequence plus SMILES/SDF/MOL2, supporting batch docking, pose triage, and confidence interpretation.

Generate and edit images via the OpenRouter Image API, supporting Gemini, Seedream, Recraft, GPT-Image and Riverflow models for photos, illustrations, logos, artwork and reference-based compositing.

This skill acts as an elite Art Director for generating premium, highly actionable, and structurally sound frontend design references. It moves beyond generic AI aesthetics by enforcing principles like strong hierarchy, generous spacing, and image-led composition. Ideal for creating realistic, development-ready concepts for landing pages, hero sections, and multi-section websites.

LaminDB is an open-source lineage-native lakehouse designed for biological datasets and models. It enables queryable, traceable, and validated data management across various storage formats like S3 and Postgres. Users can track computational workflows, curate data with ontologies via Bionty, and ensure FAIR compliance. Ideal for managing scRNA-seq, spatial transcriptomics, and integrating ML pipelines while maintaining reproducibility and collaboration.

Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Includes layout design, color schemes, multi-column formats, figure integration, and AI-powered visual element generation for conference presentations and academic posters.

Generate and audit editable scientific conference posters as macro-free PowerPoint (.pptx) files from author-approved local content and hash-verified assets, enforcing strict provenance, accessibility, DPI, and print-readiness gates.

Query the PrimeKG precision medicine knowledge graph to search genes, drugs, diseases, and phenotypes, retrieve associated neighbors, analyze disease context, and explore drug repurposing paths.