Context Engineering — Optimize What Your AI Agent Sees and When
by Shogun Labs
Systematic framework for engineering AI agent context at the right level of abstraction
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THE AGENSI STORE
180 skills found
by Shogun Labs
Systematic framework for engineering AI agent context at the right level of abstraction
by Shogun Labs
Complete skill for spreadsheet automation without needing Excel
Transforms vague, underperforming prompts into high-precision instructions using advanced engineering techniques.
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 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 PromptWagon
Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.
A deep reference library of production agent patterns — orchestration, context, tool design, failure and recovery, oversight, and evaluation. Every pattern states when it applies, when it's the wrong answer, what it costs, and the failure it prevents. Seven reference files, not a checklist.
by D
Automated market intelligence and offer engineering for validating niches and building execution roadmaps.
A 6-layer engineering containment gate for agents that move real money.
Your skill works today. Will it work after the next model update? Build the harness that answers with numbers. Builds a standalone regression test harness with mechanical grading to verify skill behavior after model or code updates.
Lint your SKILL.md for the security and quality issues marketplace reviewers reject — before you submit.
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