alpha signals pro
Autonomous 24/7 trading signal daemon for Base chain using social attention divergence and zero-cost LLM rotation.
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THE AGENSI STORE
13 skills found
Autonomous 24/7 trading signal daemon for Base chain using social attention divergence and zero-cost LLM rotation.
Generate a spec-compliant llms.txt (and optional llms-full.txt) for your site or repo so AI agents and crawlers can navigate it. Curates the pages that matter, writes the exact llmstxt.org structure — single H1, blockquote summary, and link sections in the precise format agents parse — then validates the format and tells you where to put it. The honest version: a low-cost, machine-readable surface for the agentic web, not an overhyped SEO trick.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
Systematic audit for AI prompts to detect security flaws, bias, and cost-inefficiencies with auto-optimization.
Analyzes AI agents for performance, reliability, security, and optimization opportunities.
An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.
by Nex AI
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
Cost-aware execution planning for AI agents — estimate cost-vs-value before expensive steps, propose cheaper paths (cache, summarize once, downshift models), and track spend against a session budget with a PROCEED / OPTIMIZE / DEFER verdict.
Find the model-version coupling that breaks when you swap LLMs. Flags hardcoded model names and versions, deprecated or renamed parameters (the max_tokens to max_completion_tokens class of change), hardcoded token and context-window limits, response-format parsing tied to one model's output, tool-schema format coupling between providers, and hardcoded per-token cost constants. The patterns load from an editable model-rules table you update as new models ship.
Find the code that quietly runs up your LLM bill: uncapped generations, model calls looping with no limit, an expensive model doing a trivial job, and whole files stuffed into prompts. Read-only, every finding explained in plain English.
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.
by Kaymue
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
by Kaymue
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.