✍️ AI Prompt Auditor
Systematic audit for AI prompts to detect security flaws, bias, and cost-inefficiencies with auto-optimization.
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99 skills found
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%.
Lint the function-calling tool definitions your agent exposes. Flags tools with no description, parameters missing a description or a type, overlapping or near-duplicate tools, too many tools for reliable selection, an unsafe tool exposed without a guard, required parameters missing from the schema, and free-form parameters that should be bounded with an enum. Cleaner tool schemas mean an agent that picks the right tool.
Generate an llms.txt for your site and validate an existing one against the spec. The generator turns your sitemap.xml or docs folder into a clean, sectioned llms.txt with one-line descriptions. The validator flags a missing H1 title, a missing summary blockquote, malformed link entries, links with no description, relative URLs that should be absolute, and a referenced llms-full.txt that is not present.
by Samoxis
Your headless Ollama box crashes at 3am and you find out hours later. OllamaWatch pings your Telegram the instant a model dies, the GPU runs out of memory, or the API hangs — with a fix hint in every alert. One Python file, no SaaS, no dashboards.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Nex AI
Maintain 100% uptime with an automated LLM fallback chain that routes from high-tier APIs to local models.
You changed the prompt, tried four inputs, it looked better, you shipped — and three days later support tickets say outputs are worse for an entire class of inputs you didn't test
by Nex AI
Generate a production-ready Python client for Alibaba Qwen models with text, vision, and reasoning tag filtering.
by Nex AI
High-reliability Dutch content engine with a Claude-Gemini-Qwen fallback chain and template safeties.
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 LLM integration code that breaks when a model blocks a response or falls back to a different model. Flags calls with no try/except or refusal branch, responses used or parsed with no guard for a blocked or empty answer, and hardcoded model ids with no fallback handling. Built for the Fable 5 era, where a high-risk call is blocked and silently falls back to Opus 4.8.
by Nex AI
Deploy production-grade, AI-powered Telegram bots to Raspberry Pi with automated server hardening and scheduled jobs.
by Nex AI
A production-ready Python integration for Gemini using a unified AIProvider interface for easy model swapping.
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 Nex AI
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
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
Paste any AI output. Get the production-ready prompt that made it.
by Corey Jacobs
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
by Joker
AI product type routing, discovery framework, LLM app design (Prompt/RAG/Agent), metrics, ethics.
by Joker
7-type AIGC routing, LLM selection, prompt engineering, content QC, monetization paths, 2026 trends.
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.