Skip to main content

lance-yichao-context-engineering

Designs production-grade context-engineering infrastructure for AI agents using Lance Martin (LangChain) and Yichao "Peak" Ji (Manus) methodologies — action-space layering, sandbox configurations, security guardrails, reversible compaction, structured summarization, KV-cache optimization, and pre-rot benchmarking. Use when designing a new agentic system from scratch, migrating a prototype to production, hitting performance degradation across long sessions, token costs scaling faster than value delivered, benchmarking agent reliability, selecting models per task, or simplifying a bloated harness. Trigger proactively whenever the user asks "why is my agent slower after 100 tool calls" or "how do I deploy this to production" — the Lance/Yichao surface is the production-deployment lane. For memory-crisis architecture, sovereign persistent memory, or TurboQuant compression theory, use nate-b-jones-context-engineering instead.

Jump to install

Source facts

Repository
Farrice/mes-knowledge-base
Last source activity
July 18, 2026 at 15:48
Detected SKILL.md language
English
Stars
0
Forks
1

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.