prompt engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
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Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
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.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Audit AI agent skills for security risks, packaging errors, and marketplace readiness with professional reports.
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.
Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.
Bridge OpenCode to the Agensi marketplace to discover and install AI agent skills via MCP.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
Audit AI agent memory files for privacy risk and bloat.
Comprehensive security auditing for AI agents, covering prompt injection, tool permissions, and data leakage risks.
Audit, prune, and secure your AI agent's long-term memory to prevent pollution and data leakage.
The security auditor for AI agents. Detect prompt injection, secret leaks, and unsafe tool access in SKILL.md files.
Score and optimize any website for AI agent-readability using the Agent Ready REST API.
Hardens AI prompts and agent workflows against logic errors, tool-misuse, and prompt injection.