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agent-skills-context-engineering座席技能情境工程

Agent Skill

agent-skills-context-engineering 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

21,812

周安装

891

GitHub Stars

1

下载量

6,985
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-skills-context-engineering(座席技能情境工程)
来源仓库:https://github.com/levineam/agent-skills-context-engineering
安装命令:
openclaw skills install agent-skills-context-engineering
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-skills-context-engineering

简介

Muratcan Koylan 上下文工程技能的 OpenClaw 封装版。

  • 包含 13 项技能,涵盖上下文优化与多智能体协作模式。
  • 适用于高级代理系统设计,提供标准化上下文管理方案。
  • 安装命令:openclaw skills install agent-skills-context-engineering;需熟悉上下文理论。
  • 注意部分功能可能需要额外资源配额,建议评估性能影响。

SKILL.md

name
agent-skills-context-engineering
description
>
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

SkillPurpose
context-fundamentalsCore context concepts and anatomy
context-degradationLost-in-middle, poisoning, attention patterns
context-compressionCompaction strategies for long sessions
context-optimizationToken budgeting, caching, masking
multi-agent-patternsOrchestrator, peer-to-peer, hierarchical
memory-systemsShort-term, long-term, graph-based memory
tool-designBuilding effective agent tools
filesystem-contextFile-based context management
hosted-agentsBackground agents with sandboxed execution
evaluationAgent performance frameworks
advanced-evaluationLLM-as-judge techniques
project-developmentLLM project methodology
bdi-mental-statesBDI 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.

ConditionSub-SkillWhen to Fire
Context approaching compaction or token count exceeds ~80Kcontext-compressionBefore compaction fires or at compaction boundary
Spawning 2+ subagents in one sessionmulti-agent-patternsBefore first spawn in a multi-agent sequence
Repeated task failure (3+ retries) or agent stuck in loopcontext-degradationBefore the next retry attempt
Building, designing, or refactoring agent tools/MCP scriptstool-designWhen tool construction begins
Setting up memory, JSONL store, vector DB, or persistence layermemory-systemsWhen memory architecture work begins
Reading 5+ files as context in one sessionfilesystem-contextBefore 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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

88.17%
按下载量换算6,159

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install agent-skills-context-engineering 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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