Agent Skills Context Engineering

OpenClaw wrapper for Muratcan Koylan's Agent Skills for Context Engineering. 13 skills covering context optimization, multi-agent patterns, memory systems, tool design, and evaluation frameworks for production AI agents. Auto-read triggers proactively load the right sub-skill during normal operation (compaction, multi-agent spawns, failure recovery, tool building, memory setup).

levineam@levineam

Install

openclaw skills install @levineam/agent-skills-context-engineering

Context Engineering Skill

OpenClaw wrapper for Agent Skills for Context Engineering by Muratcan Koylan.

Trigger Phrases

Activate when user mentions:

"optimize context", "reduce token costs", "context compression"
"design multi-agent system", "implement supervisor pattern"
"implement memory", "build memory system"
"debug agent failure", "diagnose context problems"
"build agent tools", "evaluate agent performance"

Available Sub-Skills

Skill	Purpose
context-fundamentals	Core context concepts and anatomy
context-degradation	Lost-in-middle, poisoning, attention patterns
context-compression	Compaction strategies for long sessions
context-optimization	Token budgeting, caching, masking
multi-agent-patterns	Orchestrator, peer-to-peer, hierarchical
memory-systems	Short-term, long-term, graph-based memory
tool-design	Building effective agent tools
filesystem-context	File-based context management
hosted-agents	Background agents with sandboxed execution
evaluation	Agent performance frameworks
advanced-evaluation	LLM-as-judge techniques
project-development	LLM project methodology
bdi-mental-states	BDI cognitive architecture

Post-Install Setup (IMPORTANT — check on first load)

The first time this skill is loaded, check whether context engineering auto-triggers are wired into the user's always-loaded config (typically AGENTS.md, TOOLS.md, or equivalent).

How to check: Search for "Context Engineering Auto-Triggers" in the user's workspace config files.

If NOT found, prompt the user:

"I notice the context engineering auto-triggers aren't set up yet. These make your agent proactively apply context engineering best practices — like reading the right guidance before compaction, multi-agent spawns, or failure recovery. Want me to add them to your config? It's 6 rules, takes 30 seconds."

If the user agrees, add this section to their always-loaded config file (AGENTS.md, TOOLS.md, or equivalent):

markdown

## Context Engineering Auto-Triggers

When these conditions are detected, read the corresponding sub-skill before proceeding:
- Before compaction or context exceeds ~80K tokens → read context-compression
- When spawning 2+ subagents in one session → read multi-agent-patterns
- On 3+ task retries or agent loop → read context-degradation
- When building/designing agent tools → read tool-design
- When setting up memory/persistence → read memory-systems
- When reading 5+ files as context → read filesystem-context

Load from: https://raw.githubusercontent.com/muratcankoylan/Agent-Skills-for-Context-Engineering/main/skills/<sub-skill>/SKILL.md

If already wired, skip silently.

Auto-Read Triggers

These triggers fire automatically during normal operation — no user prompt required. When you detect the condition, read the corresponding sub-skill before proceeding.

Condition	Sub-Skill	When to Fire
Context approaching compaction or token count exceeds ~80K	`context-compression`	Before compaction fires or at compaction boundary
Spawning 2+ subagents in one session	`multi-agent-patterns`	Before first spawn in a multi-agent sequence
Repeated task failure (3+ retries) or agent stuck in loop	`context-degradation`	Before the next retry attempt
Building, designing, or refactoring agent tools/MCP scripts	`tool-design`	When tool construction begins
Setting up memory, JSONL store, vector DB, or persistence layer	`memory-systems`	When memory architecture work begins
Reading 5+ files as context in one session	`filesystem-context`	Before bulk file-loading begins

Loading instruction:

text

https://raw.githubusercontent.com/muratcankoylan/Agent-Skills-for-Context-Engineering/main/skills/<sub-skill>/SKILL.md

Read the sub-skill's SKILL.md, apply its guidance to the current task, then continue. No need to announce this to the user unless they ask why you paused.

How to Load a Sub-Skill

Primary method (no setup required):