Browse The Skill Store

prompt engineer

by Roy Yuen

Free

Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.

Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.

Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.

Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.

production agent architect

by Roy Yuen

$6

Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.

Turn raw agent traces and tool logs into professional production-readiness audits and remediation reports.

Audit your AI agent's evaluation coverage to identify missing release gates and production risks.

agent tool governance

by LocoLoboZ

$10

A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.

📝 Prompt Template Linter

by JustHandled Labs

$12

Lint a prompt template for the issues that cause injection and flaky output. Flags untrusted variables interpolated straight into the instructions (the injection surface), placeholders that are never provided or never used, contradictory instructions, a missing output-format spec where the result is parsed, unbounded context interpolation, and leftover placeholders. It detects problems; it does not write prompts.

🤖 AI Agent Auditor

by Martin Gunderman

$7

Analyzes AI agents for performance, reliability, security, and optimization opportunities.

🧠 AI Memory Optimizer

by Martin Gunderman

$7

Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.

🧰 Tool Schema Linter

by JustHandled Labs

$12

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.

💰 AI Cost Optimizer

by Martin Gunderman

$7

An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.

Maintain 100% uptime with an automated LLM fallback chain that routes from high-tier APIs to local models.

LLM Eval Framework Builder

by Arnstein Larsen

$17

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

Token Budget Officer

by PubsProToolkit

$19

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.

nex telegram bot deploy

by Nex AI

$7

Deploy production-grade, AI-powered Telegram bots to Raspberry Pi with automated server hardening and scheduled jobs.

nex claude api integration

by Nex AI

$7

Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.

Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.

Prompt Engineering Specialist

by Arnstein Larsen

$8.99

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.