agent-skills-context-engineering

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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).

modbender By modbender schedule Updated 3/6/2026

name: agent-skills-context-engineering

description: >

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).

version: "1.2.0"


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):


## 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:


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):


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

Optional (for offline use):

Clone the submodule locally, then read from references/context-engineering-skills/skills/<sub-skill>/SKILL.md

Attribution

All credit for the underlying context engineering principles belongs to Muratcan Koylan and contributors to the original repository.

Install via CLI
npx skills add https://github.com/modbender/skill-library-mcp --skill agent-skills-context-engineering
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