Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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postgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
joneqian/claude-skills-suite 9
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security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
joneqian/claude-skills-suite 9
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mysql-patterns
MySQL database patterns for query optimization, schema design, indexing, and security. Quick reference for common patterns.
joneqian/claude-skills-suite 9
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tdd-workflow
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
joneqian/claude-skills-suite 9
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backend-patterns
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, NestJS, FastAPI, and Next.js API routes.
joneqian/claude-skills-suite 9
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gpu-cli
Run ML training, LLM inference, and ComfyUI workflows on remote NVIDIA GPUs (A100, H100, RTX 4090). Cloud GPU compute with smart file sync — prefix any command with 'gpu' to run it remotely.
gpu-cli/gpu 5
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ailss-prometheus-agent
Obsidian vault notes (AILSS): search/summarize/edit (frontmatter, tags/keywords, typed links/backlinks, broken links; retrieval-first MCP; gated writes)
maehwasoo/AILSS 1
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database-changes
Making database schema changes to the CMS database. Use when adding columns, tables, running migrations, or updating the backend API and TypeScript types for new database fields.
affandar/toygres
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fullstack-features
Building full-stack features in Toygres from UI to database. Use when adding new features, API endpoints, React components, or implementing end-to-end functionality.
affandar/toygres
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aks-deployment
Deploying and debugging Toygres on AKS (Azure Kubernetes Service). Use when deploying, debugging pods, viewing logs, troubleshooting SSL, or managing Kubernetes resources.
affandar/toygres
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duroxide-orchestration-versioning
Guidance for safely versioning Duroxide orchestrations — file structure, naming conventions, workflow, and registry registration.
affandar/toygres
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instance-actors
Managing instance actor orchestrations for PostgreSQL health monitoring. Use when debugging stale actors, restarting actors, or troubleshooting health check issues.
affandar/toygres
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image-backup-restore
Implementing and debugging PostgreSQL image backup and restore features. Use when working with database snapshots, backup jobs, restore operations, azcopy blob transfers, or troubleshooting image-related provisioning failures.
affandar/toygres
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duroxide-orchestrations
Writing durable workflows using Duroxide in Rust. Use when creating orchestrations, activities, workflows, or when the user mentions duroxide, durable functions, or workflow orchestration.
affandar/toygres
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data-extraction
Extract and prepare study data for meta-analysis including effect size calculation, variance estimation, and handling missing data. Use when users need to convert reported statistics into analyzable format or calculate effect sizes from raw data.
matheus-rech/meta-agent-mobile
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network-meta-analysis
Teach network meta-analysis (NMA) for comparing multiple treatments simultaneously. Use when users need to compare more than two interventions, understand indirect comparisons, or create network plots and league tables.
matheus-rech/meta-agent-mobile
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trial-sequential-analysis
Teach Trial Sequential Analysis (TSA) for controlling type I and II errors in cumulative meta-analyses. Use when users need to assess if meta-analysis has sufficient information, want to avoid premature conclusions, or need to plan future trials.
matheus-rech/meta-agent-mobile
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forest-plot-creation
Generate and interpret forest plots for meta-analysis visualization using R and the metafor package. Use when users need to create forest plots, understand visual representation of pooled effects, or interpret study weights and confidence intervals.
matheus-rech/meta-agent-mobile
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heterogeneity-analysis
Assess and interpret between-study heterogeneity in meta-analysis using I², Q statistic, tau², and prediction intervals. Use when users need to evaluate consistency across studies, understand sources of variation, or decide if pooling is appropriate.
matheus-rech/meta-agent-mobile
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grade-assessment
Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence in effect estimates.
matheus-rech/meta-agent-mobile
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publication-bias-detection
Detect and assess publication bias in meta-analysis using funnel plots, Egger's test, trim-and-fill, and selection models. Use when users need to evaluate whether missing studies might affect their conclusions.
matheus-rech/meta-agent-mobile
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socratic-teaching
Apply Socratic teaching methodology to guide users through meta-analysis concepts using questions, scaffolding, and discovery-based learning. Use when teaching meta-analysis to students or researchers who want to deeply understand the methodology.
matheus-rech/meta-agent-mobile
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bayesian-meta-analysis
Teach Bayesian approaches to meta-analysis including prior specification, MCMC methods, and interpretation of posterior distributions. Use when users want to incorporate prior knowledge, need probabilistic interpretations, or are working with sparse data.
matheus-rech/meta-agent-mobile
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diagnostic-meta-analysis
Teach meta-analysis of diagnostic test accuracy studies including sensitivity, specificity, SROC curves, and bivariate models. Use when users need to synthesize diagnostic accuracy data, understand SROC curves, or assess quality with QUADAS-2.
matheus-rech/meta-agent-mobile