Make a prompt work harder
Improve a prompt's goal, context, constraints, and output requirements.
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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Improve a prompt's goal, context, constraints, and output requirements.
Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.
Guide to selecting and optimizing embedding models for vector search applications.
Fetch live Etsy search listing rows for a keyword, market phrase, or category via Apify Actor publicrecords/etsy-search-scraper (MCP). Needs an Apify token; Actor run is billed.
Read Etsy shop sales counters, deltas, and breakout flags from Apify Actor publicrecords/etsy-shop-velocity (MCP panel snapshot). Needs an Apify token; Actor run is billed.
Order W-2 compliant temporary event staff for conventions, trade shows, festivals, concerts, sporting events, and brand activations across 300+ US and Canadian markets via TempGuru. Covers city coverage, role pricing, availability, state compliance lookups via MCP, and request submission.
Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
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