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Agent Skill · 效率

context-engineering-for-projects-skill(项目技能的情境工程)

context-engineering-for-projects-skill 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

context-engineering-for-projects-skill 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 7,144。

总安装 8,436周安装 338GitHub Stars 公开资料未说明下载 2,731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
1.0.1

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:context-engineering-for-projects-skill(项目技能的情境工程)
来源仓库:https://github.com/lywhlao2025/context-engineering-for-projects-skill
安装命令:
openclaw skills install context-engineering-for-projects-skill
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 context-engineering-for-projects-skill

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

context-engineering-for-projects-skill 用于构建团队式项目上下文目录,支持初始化与结构化组织。适合需要为复杂项目建立标准化上下文框架的开发团队。通过英文短语触发,自动生成可复用的项目记忆模板与协作规范。安装前需确认项目结构兼容性,避免覆盖现有配置或引发路径冲突。

适用于多成员协作、长期维护型项目的上下文工程化管理需求。

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 context-engineering-for-projects-skill;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

    它需要需要联网,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

context-engineering-for-projects-skill 怎么安装?

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

context-engineering-for-projects-skill 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。

context-engineering-for-projects-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

context-engineering-for-projects-skill 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。

context-engineering-for-projects-skill 用的人多吗?

公开数据是累计安装 8,436 次,近一周安装 338 次,下载 2,731 次。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。

context-engineering-for-projects-skill 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
context-engineering-for-projects-skill

项目技能的情境工程 · 本页

8,436—需要联网MIT-0通过

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
context-engineering
description
Build or initialize team-style project context directories for context engineering. Use when the user says “构建/初始化项目上下文”, “针对该项目构建上下文”, or in English phrases like “build/initialize project context”, “scaffold project context”, “set up project context docs”, “create project context”, “generate project context docs”, “initialize context engineering project”, “set up team context”, “build context workspace”, or asks to scaffold a project context under a specified target directory (default ~/clawDir/team).

Context Engineering

Overview

Create a consistent project context structure (team navigation + project folder) and link it to a code directory. Default target root is ~/clawDir/team, but allow the user to specify another root path.

Loading Model (L1/L2/L3)

  • L1: Project skill.md — global overview, module navigation, environment notes.
  • L2: modules/ + agents/ — task-scoped module docs and agent role docs. Load the module overview first, then specific submodules; load the relevant agent README when working on that role’s tasks.
  • L3: references/ — entrypoints, API indices, migrations, evidence-level docs.

Workflow

  1. Collect inputs

- project_name (folder name) - code_dir (absolute path to the code) - target_root (optional). If not provided, use ~/clawDir/team.

  1. Analyze the code structure

- Identify tech stack and main areas (frontend/backend/qa/etc.) from code directory structure and key files. - Read top-level docs: README*, docs/, tech.md, architecture.md, CHANGELOG* if present.

  1. Initialize the context structure

- Prefer running the bundled script:

     python scripts/init_context_project.py \
       --project <project_name> \
       --code-dir <code_dir> \
       --target-root <target_root>

- The script infers module buckets from the codebase and creates module folders dynamically. - The script is idempotent: it won’t overwrite existing files.

  1. Populate content (critical)

- Fill skill.md (L1) with project summary, architecture, entrypoints, build/run, module navigation. - Fill modules/<module>/README.md (overview) and modules/<module>/<module>.md (detail). - Fill references/entrypoints.md with code-level entrypoints and indexes.

  1. Post-init checks

- Verify the created files exist and are filled under: <target_root>/projects/<project_name>/. - If the user wants custom content, update modules and references accordingly. - Record major changes in decisions.md (project-level) or decisions.jsonl (agent-level).

Modules Directory Guidance

  • modules/ is generated based on the target codebase (not fixed).
  • Recommended buckets: frontend, backend, qa, reviewer (only if inferred).
  • Each module may contain multiple detailed docs; keep an overview modules/<module>/README.md and a modules/<module>/<module>.md for detailed module notes.
  • If a domain is present (e.g., mobile, data, ops, infra), create that module.

Generation Rules (Modules & Agents)

Modules

  • Each module folder must include:

- modules/<module>/README.md (overview) - modules/<module>/<module>.md (details: Scope, Key Responsibilities, Important Notes, Interfaces & Dependencies)

  • If a module is large, split into multiple files (e.g., A.md, B.md, C.md). In that case, <module>.md becomes an index/summary that describes each sub-file and when to load it.

Agents

  • Create one folder per agent under agents/<agent>/.
  • Agent list is inferred from module buckets; always include reviewer.
  • Each agent folder must include:

- README.md with Role, Principles, Responsibilities, Deliverables, Working Style, Notes - tools.md (Markdown) - memory.md (Markdown) - decisions.jsonl (JSONL, one decision per line) - fails.jsonl (JSONL, one failure per line)

  • README.md must also include a brief description of the purpose of other files in the current agent directory.

Content Extraction Rules (General)

Keep SKILL.md lean. For detailed extraction guidance (entrypoints, flows, data, tests, i18n), load:

  • references/extraction-rules.md

Output Templates (Required)

L1 (skill.md)

  • Project summary (what it is + target users)
  • Architecture & boundaries
  • Entrypoints + build/run
  • Module navigation
  • Progressive loading model (L1/L2/L3)
  • Spec-driven development

- Spec-first rule (no implementation without a spec) - Spec template (scope, interfaces, edge cases/errors, acceptance criteria, tests) - Change control (spec updates recorded in decisions) - Traceability (code/tests map back to spec items)

L2 (modules/<module>/README.md)

  • Responsibilities
  • Key areas/files
  • Typical tasks

L2 (modules/<module>/<module>.md)

  • Scope
  • Key Responsibilities
  • Important Notes (constraints, risks, decisions)
  • Interfaces & Dependencies
  • Key flows (if applicable)
  • Testing/QA hooks

L2 (agents/<agent>/README.md)

  • Role
  • Principles
  • Responsibilities
  • Deliverables
  • Working Style
  • Notes
  • Description of other files in the agent directory

L3 (references/entrypoints.md)

  • Entry file index
  • Core logic/index files
  • Data/storage index
  • i18n index
  • Build/release/ops entrypoints

Quality Checklist (Before Finalizing)

  • L1 filled with accurate architecture and run/build info
  • Each module has README + <module>.md
  • References contain concrete file paths
  • Loading paths cover UI/UX, core logic, QA, release scenarios
  • Agent folders exist with clear responsibilities

Files Created

  • <target_root>/readme.md (if missing)
  • <target_root>/projects/projects.md (index with new project entry)
  • <target_root>/projects/<project_name>/readme.md
  • <target_root>/projects/<project_name>/goals.md
  • <target_root>/projects/<project_name>/skill.md
  • <target_root>/projects/<project_name>/project_status.md
  • <target_root>/projects/<project_name>/decisions.md
  • <target_root>/projects/<project_name>/agents/agents.md
  • <target_root>/projects/<project_name>/modules/README.md
  • <target_root>/projects/<project_name>/modules/<module>/README.md (modules inferred from code)
  • <target_root>/projects/<project_name>/modules/<module>/<module>.md
  • <target_root>/projects/<project_name>/references/entrypoints.md

Resources

  • scripts/init_context_project.py — scaffold generator (preferred).

平台分布

OpenClaw

93.3%
按下载量换算2,548

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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