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Implement cost-optimized LLM routing with NO OpenAI. Use tiered model selection (DeepSeek, Haiku, Sonnet) to achieve 70-90% cost savings. Triggers on "LLM costs", "model selection", "cost optimization", "which model", "DeepSeek", "Claude pricing", "reduce AI costs".
Create detailed research plans by decomposing structured prompts into subtopics, search strategies, and agent deployment configurations. Extracted from Phase 2 of research-executor for standalone planning capabilities.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Use this skill to create or update the root AGENTS.md file to register SynthesisFlow skills for AI agent discovery. Triggers include "register SynthesisFlow", "update AGENTS.md", "setup agent guide", or initializing a new project.
Use when web.run fails to parse a webpage and you need raw Markdown via Crawl4AI.
Handles WhatsApp message processing, response drafting, and conversation management. Use when working with WhatsApp messages, drafting responses, or managing WhatsApp communication workflows.
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Use for deep multi-step investigation and analysis with both Codex and Gemini. Triggers on "council deep analysis", "investigate with council", "council thorough investigation", "have the council think deeply".
Generate effective prompts based on task descriptions. Use when you need to create structured prompts for AI models.
Enables Claude to use Google AI Studio for testing prompts, exploring models, and prototyping AI applications
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts.
Recover from crashed, failed, or interrupted Claude Code sessions. Use this skill when: session crashed during multi-agent parallel execution, need to determine what work was completed vs incomplete, want to generate resumption commands for interrupted tasks, recovering from context window exhaustion, or handling session handoffs. Analyzes agent logs, verifies on-disk state, and creates resumption plans with ready-to-execute Task() commands.
Guide for building AI agents with Google ADK (Agent Development Kit). Use when creating multi-agent pipelines, implementing conditional agent branching, designing agent tools with FunctionTool, or debugging agent data flow issues. Covers SequentialAgent, LoopAgent, ParallelAgent patterns, session.state management, output_key chaining, and transfer_to_agent for control flow. Essential for understanding non-obvious ADK behaviors like why SequentialAgent runs ALL agents even after rejection.
A specialized skill for frontend development tasks using the Gemini CLI. It leverages Gemini's multimodal capabilities for generating UI code (React, Tailwind CSS) from descriptions or images (screenshots).
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
Debug failed/issue tasks from Beam.ai using Langfuse traces. Load when user says "debug issue tasks", "check failed tasks", "why did task fail", "task errors", "debug agent", or needs to investigate task failures.
Build features in the AI Coaching Platform Next.js app. Use for creating pages, components, server actions, TanStack tables, and understanding application architecture.
