jtsylve-claude-experiments

Knowledge patches and plugins for Claude covering recent language and framework updates. Fills training data gaps.

200 skills

Guidance on building Retrieval-Augmented Generation systems that combine large language models with document retrieval. Enables AI agents to reference external knowledge bases and provide grounded responses.

184 skills

Token efficiency optimization techniques and utilities for Claude. Helps reduce token consumption in AI workflows.

33 skills · 76 commands

Mental health and wellness analysis tool that identifies psychological patterns, assesses health status, and provides personalized recommendations integrated with sleep, exercise, and nutrition data.

19 skills · 59 commands

PUA is a framework for building and managing AI agent prompts and behaviors. Supports multilingual prompt engineering and agent configuration.

29 skills · 22 commands · 7 agents · hooks

Integrates Gemini image processing with Claude for visual analysis and generation tasks. Enables multimodal image workflows.

50 skills · 6 commands

Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.

6 skills

Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations

24 skills · 1 command · 1 agent · hooks

Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.

44 skills · 1 MCP server

Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization

8 skills · 7 agents

CockroachDB plugin for Claude Code — explore schemas, write optimized SQL, debug queries, and manage distributed database clusters directly from your AI coding agent.

34 skills · 3 agents · 3 MCP servers · hooks

Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), finance (close+report).

8 skills · 9 commands · 1 agent