Spiral Recap
by Sir Benjamin
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
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THE AGENSI STORE
19 skills found
by Sir Benjamin
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
Analyzes AI agents for performance, reliability, security, and optimization opportunities.
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.
An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.
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.
by Danejw
Professional AI Engine Optimization (AEO) audit tool that delivers a 100-point score and ready-to-code fix prompts.
Production prompts grow by accretion — every failure gets another appended rule until the prompt is two thousand words of contradictions that the model navigates unpredictably
by Nex AI
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
Optimize your website's architecture and content to be discovered, indexed, and cited by AI agents and LLMs.
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.
Audit any page, article, or doc for how likely AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Claude — are to surface and cite it. Checks answer-first extractability, question-shaped structure, quotable units, factual specificity, sourcing, schema, and freshness, then returns a PASS/REVISE verdict with the prioritized fixes. This is Answer Engine Optimization, not classic SEO — it optimizes content to be quoted inside AI answers.
by Kaymue
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
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.
Audit and optimize website visibility, reachability, and actionability for AI agents and LLM crawlers.
by Timoranjes
context-window-manager-pro
Audit LLM spend to find recoverable waste in prompt caching, model routing, and token usage.