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Found 6,411 Skills
Integrate structural biology data with proteomics for drug target validation. Retrieves protein structures from PDB (RCSB, PDBe), AlphaFold predictions, antibody structures (SAbDab), GPCR data (GPCRdb), binding pocket analysis (ProteinsPlus), and ligand interactions (BindingDB). Use when asked to find structures for a drug target, identify binding site ligands, cross-validate drug binding with structural data, assess structural druggability, or compare experimental vs predicted structures.
MCP server providing local-first document management with AI-powered semantic search, hybrid vector search, and intelligent chunking using Orama and Gemini
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
Use when symfony doctrine transactions
Reconcile the project's FPF state with recent repository changes
Create Requirements Document - generates a structured requirements document, asking clarifying questions about ambiguities before proceeding
Debug Rails issues systematically. Use when encountering ActiveRecord errors like RecordNotFound, routing issues, N+1 query problems detected by Bullet, asset pipeline issues, migration failures, gem conflicts, ActionController errors, CSRF token problems, or any Ruby on Rails application errors requiring diagnosis.
Create a plan collaboratively with the user, then convert the approved plan into a GitHub issue.
Technical Design - picks one variant per problem area from the research catalogue, then produces architecture diagrams, interfaces, and data flow. Decisions live here, not in research.
Prevent N+1 queries by eager loading; enable lazy-loading protection in non-production; choose selective fields
Wrap multi-write operations in transactions; use dispatchAfterCommit and idempotency patterns to ensure consistency
Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance