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levineam-context-engineeringLevineam 情境工程

Agent Skill

levineam-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

12,624

周安装

526

GitHub Stars

公开资料未说明

下载量

4,208
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:levineam-context-engineering(Levineam 情境工程)
来源仓库:https://github.com/levineam/levineam-context-engineering
安装命令:
openclaw skills install levineam-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 levineam-context-engineering

简介

Levineam 情境工程用于高效查找、检索和筛选相关信息。

  • 适用于 OpenClaw 中根据关键词或任务场景快速定位候选结果。
  • 通过关键词、来源线索调用,支持多维度信息筛选与组织。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • 建议结合原始 README 和仓库文档进一步验证具体用法。

SKILL.md

name
context-engineering
description
>
version
1.0.0

Context Engineering Skill

Routes to the appropriate sub-skill from Koylan's Agent-Skills-for-Context-Engineering collection, located at:

references/context-engineering-skills/skills/<sub-skill>/SKILL.md

Setup

No setup required. This skill uses GitHub raw URLs as the primary method to fetch sub-skill documentation.

Sub-skill SKILL.md files are loaded directly from GitHub:

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

Example: For context-optimization, use:

https://raw.githubusercontent.com/muratcankoylan/Agent-Skills-for-Context-Engineering/main/skills/context-optimization/SKILL.md

Optional Enhancement (Offline Use): For offline access or faster local reads, you can optionally initialize the git submodule:

git submodule update --init

This will populate the references/context-engineering-skills/ directory locally. When the local directory exists, the skill loader will prefer local files over GitHub fetches.

Sub-Skill Routing Table

Match the user's task to one sub-skill and read its SKILL.md before proceeding. Load additional sub-skills only if the task spans multiple domains.

Task / trigger phraseSub-skill directory
"optimize context", reduce token costs, KV-cache, context budgetingcontext-optimization
"context compression", summarize history, compaction, long sessionscontext-compression
"design multi-agent", supervisor pattern, swarm architecture, agent handoffsmulti-agent-patterns
"implement memory", memory frameworks, Mem0, Zep, Letta, vector RAGmemory-systems
"offload context to files", filesystem memory, scratch pads, dynamic discoveryfilesystem-context
"debug agent failure", lost-in-middle, context poisoning, degradation patternscontext-degradation
"build agent tools", tool descriptions, MCP tools, tool consolidationtool-design
"evaluate agent", LLM-as-judge, test framework, quality gatesevaluation
Advanced evaluation: rubrics, pairwise comparison, position biasadvanced-evaluation
"understand context", context windows, attention mechanics, fundamentalscontext-fundamentals
"build background agent", sandboxed execution, hosted coding agenthosted-agents
"implement BDI", mental state modeling, belief-desire-intentionbdi-mental-states
"start an LLM project", batch pipeline, task-model fit, project structureproject-development

How to Load a Sub-Skill

  1. Identify the best-matching row above.
  2. Check if the local sub-skill SKILL.md exists:
   references/context-engineering-skills/skills/<sub-skill>/SKILL.md

- If the file exists locally: Read it directly. - If the file does NOT exist (e.g., submodule not initialized): Fetch from GitHub:

     https://raw.githubusercontent.com/muratcankoylan/Agent-Skills-for-Context-Engineering/main/skills/<sub-skill>/SKILL.md
  1. Follow the instructions in that file. Most sub-skills have a references/

directory with detailed patterns — read those files only when the relevant pattern is needed (progressive disclosure).

  1. If the user's task spans two sub-skills (e.g., memory + multi-agent), read

both SKILL.md files before responding.

Progressive Disclosure

Sub-skill SKILL.md files are compact routing documents. The deep content lives in each sub-skill's references/ folder. Load reference files only when the specific topic is active — do not bulk-load all references upfront.

Example:

references/context-engineering-skills/skills/context-optimization/references/

Read individual reference files from that directory only when the matching pattern is needed.

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

76.07%
按下载量换算3,201

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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