prompt engineer
by Roy Yuen
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
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THE AGENSI STORE
214 skills found
by Roy Yuen
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
by loreto
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.
by Roy Yuen
Professional QA & UAT documentation generator for AI automation agencies and complex agent deployments.
by loreto
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.
Clone any webpage into fully editable native Elementor Pro widgets with pixel-perfect accuracy.
by loreto
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.
by Roy Yuen
Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.
by 王晓菲
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
by Roy Yuen
Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.
by Roy Yuen
Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.
by Roy Yuen
Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.
by Roy Yuen
Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.
by Roy Yuen
Operational SOP for debugging, repairing, and maintaining Telegram-to-OpenCode bridge bots and persisted sessions.
by Roy Yuen
Turn raw agent traces and tool logs into professional production-readiness audits and remediation reports.
by Kevin Cline
Generate production-ready, commented Nginx configurations from plain English descriptions.
by appugouda ai
Turn AWS billing mysteries into 10-minute root cause reports by correlating cost spikes with engineering events.
by Kevin Cline
Instantly generate optimized multi-stage Dockerfiles and docker-compose configs for any web project.
by Roy Yuen
Audit your AI agent's evaluation coverage to identify missing release gates and production risks.
by Julian
Audit applications against 12-Factor methodology to identify architectural risks and generate cloud-native fix plans.
by Kevin Cline
Convert natural language to cron expressions and explain complex schedules with run-time projections.
by Roy Yuen
Convert AI automation intake into client-ready SOPs, training plans, and adoption checklists in multiple formats.
by Roy Yuen
Automate the packaging, versioning, and distribution strategy for AI agents, CLIs, and marketplace skills.
by Roy Yuen
Turn vague prompts into professional task specifications, optimized prompts, and verification test suites.
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.