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Agent Skill · 研究检索

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

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。

agent-skills-context-engineering 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,544。

总安装 21,812周安装 891GitHub Stars 1下载 6,985核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agent-skills-context-engineering;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-skills-context-engineering 怎么安装?

在终端执行 openclaw skills install agent-skills-context-engineering。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-skills-context-engineering 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-skills-context-engineering 需要什么权限?

权限级别是执行命令。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。

agent-skills-context-engineering 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-skills-context-engineering 用的人多吗?

公开数据是累计安装 21,812 次,近一周安装 891 次,下载 6,985 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-skills-context-engineering 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-skills-context-engineering

座席技能情境工程 · 本页

21,8121执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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