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Agent Skill · 研究检索

solo-scaffold(单独脚手架)

solo-scaffold 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。

solo-scaffold 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;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 6,616。

总安装 21,567周安装 881GitHub Stars 公开资料未说明下载 6,907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
1.5.1

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:solo-scaffold(单独脚手架)
来源仓库:https://github.com/fortunto2/solo-scaffold
安装命令:
openclaw skills install solo-scaffold
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 solo-scaffold

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。

基于 PRD 与堆栈模板生成完整项目目录结构与配置文件。自动初始化 Git 仓库并推送至指定 GitHub 组织。内置 CLAUDE.md 指导后续开发行为规范。支持多种前端/后端技术栈快速启动样板工程。solo-scaffold 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

首次运行可能较慢因需下载基础镜像与依赖包。

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 solo-scaffold;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

    它需要调用外部服务,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

solo-scaffold 怎么安装?

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

solo-scaffold 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。

solo-scaffold 需要什么权限?

权限级别是调用外部服务。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。

solo-scaffold 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。

solo-scaffold 用的人多吗?

公开数据是累计安装 21,567 次,近一周安装 881 次,下载 6,907 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。

solo-scaffold 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

  • 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

  • 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
solo-scaffold

单独脚手架 · 本页

21,567—调用外部服务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
solo-scaffold
description
Generate complete project from PRD + stack template — directory structure, configs, CLAUDE.md, git repo, and GitHub push. Use when user says "scaffold project", "create new project", "start new app", "bootstrap project", or "set up from PRD". Uses SoloGraph for patterns and Context7 for latest versions. Do NOT use for planning features (use /plan) or PRD generation (use /validate).
license
MIT
metadata
author
fortunto2
version
1.5.1
openclaw
emoji
🏗️
allowed-tools
Read, Grep, Bash, Glob, Write, Edit, AskUserQuestion, mcp__context7__resolve-library-id, mcp__context7__query-docs, mcp__solograph__kb_search, mcp__solograph__project_info, mcp__solograph__project_code_search, mcp__solograph__codegraph_query, mcp__solograph__codegraph_explain, mcp__solograph__project_code_reindex
argument-hint
[project-name] [stack-name]

/scaffold

Scaffold a complete project from PRD + stack template. Creates directory structure, configs, CLAUDE.md, git repo, and pushes to GitHub. Studies existing projects via SoloGraph for consistent patterns, uses Context7 for latest library versions.

Steps

  1. Parse arguments from $ARGUMENTS — extract <project-name> and <stack-name>.

- If not provided or incomplete, use AskUserQuestion to ask for missing values. - Show available stacks from templates/stacks/*.yaml (source of truth). If MCP project_info available, also show detected stacks from active projects. List stack names with one-line descriptions from each YAML's description field. - Project name should be kebab-case.

  1. Load org defaults from ~/.solo-factory/defaults.yaml:

- Read org_domain (e.g. com.mycompany), apple_dev_team, github_org, projects_dir - If file doesn't exist, ask via AskUserQuestion: - "What is your reverse-domain prefix for bundle IDs?" (e.g. com.mycompany) - "Apple Developer Team ID?" (optional, leave empty if no iOS) - Create ~/.solo-factory/defaults.yaml with answers for future runs - Replace <org_domain>, <apple_dev_team>, <github_org> placeholders in all generated files

  1. Load stack + PRD + principles:

- Look for stack YAML: search for stacks/<stack>.yaml in plugin templates (via kb_search or Glob). - If stack YAML not found, use built-in knowledge of the stack (packages, structure, deploy). - Check if PRD exists: docs/prd.md or search current directory for prd.md - If not: generate a basic PRD template - Look for dev principles: search for dev-principles.md or use built-in SOLID/DRY/KISS/TDD principles.

  1. Study existing projects via SoloGraph (learn from your own codebase — critically):

Before generating code, study active projects with the same stack. Don't blindly copy — existing projects may have legacy patterns or mistakes. Evaluate what's actually useful.

a. Find sibling projects — use project_info() to list active projects, filter by matching stack. Example: for ios-swift, find existing projects with matching stack.

b. Architecture overview — codegraph_explain(project="<sibling>") for each sibling. Gives: directory layers, key patterns (base classes, protocols, CRUD), top dependencies, hub files.

c. Search for reusable patterns — project_code_search(query="<pattern>", project="<sibling>"): - Search for stack-specific patterns: "MVVM ViewModel", "SwiftData model", "AVFoundation recording" - Search for shared infrastructure: "Makefile", "project.yml", ".swiftlint.yml" - Search for services: "Service protocol", "actor service"

d. Check shared packages — codegraph_query("MATCH (p:Project)-[:DEPENDS_ON]->(pkg:Package) WHERE p.name = '<sibling>' RETURN pkg.name"). Collect package versions for reference (but verify with Context7 for latest).

e. Critically evaluate what to adopt vs skip: - Adopt: consistent directory structure, Makefile targets, config patterns (.swiftlint.yml, project.yml) - Adopt: proven infrastructure patterns (actor services, protocol-based DIP) - Skip if outdated: old API patterns (ObservableObject → @Observable), deprecated deps - Skip if overcomplicated: unnecessary abstractions, patterns that don't fit the new project's needs - Always prefer: Context7 latest best practices over old project patterns when they conflict

Goal: Generated code should feel consistent with your portfolio but use the best available patterns, not just the same old ones. Limit to 2-3 sibling projects to keep research focused.

  1. Context7 research (latest library versions and best practices):

- For each key package from the stack: - mcp__context7__resolve-library-id — find the Context7 library ID - mcp__context7__query-docs — query "latest version, project setup, recommended file structure, best practices" - Collect: current versions, recommended directory structure, configuration patterns, setup commands - Limit to the 3-4 most important packages to keep research focused

  1. Show plan + get confirmation via AskUserQuestion:

- Project path: <projects_dir>/<name> (from defaults.yaml or current directory) - Stack name and key packages with versions from Context7 - Proposed directory structure - Confirm or adjust before creating files

  1. Create project directory:
   mkdir -p <projects_dir>/<name>
  1. Create file structure based on the stack. SGR-first: always start with domain schemas/models before any logic or views. Every project gets these common files:
   <projects_dir>/<name>/
   ├── CLAUDE.md          # AI-friendly project docs (map, not manual — see Harness Engineering)
   ├── Makefile           # Common commands (run, test, build, lint, deploy, integration)
   ├── README.md          # Human-friendly project docs
   ├── docs/
   │   ├── prd.md         # Copy of PRD
   │   ├── QUALITY_SCORE.md  # Domain quality grades (harness: garbage collection)
   │   └── ARCHITECTURE.md   # Module boundaries and dependency rules
   ├── cli/               # CLI utility — mirrors core business logic (CLI-First Testing principle)
   │   └── main.ts|py     # Deterministic pipeline entry point (no LLM required)
   ├── .claude/
   │   └── skills/        # Product-specific workflow skills
   │       └── dev/
   │           └── SKILL.md  # Dev workflow skill (run, test, deploy)
   └── .gitignore         # Stack-specific ignores

CLI-First Testing: generate a cli/ directory with a stub that imports core business logic from lib/ (or equivalent). The CLI should run the main pipeline deterministically without requiring LLM, network, or UI. This enables make integration for pipeline verification. See dev-principles.md → "CLI-First Testing".

### .claude/skills/dev/SKILL.md — product dev workflow skill

Generate a skill that teaches Claude how to work with THIS specific project. Structure:

   ---
   name: <name>-dev
   description: Dev workflow for <Name> — run, test, build, deploy. Use when working on <Name> features, fixing bugs, or deploying changes. Do NOT use for other projects.
   license: MIT
   metadata:
     author: <github_org>
     version: "1.0.0"
   allowed-tools: Read, Grep, Glob, Bash, Write, Edit
   ---

Body should include: - Stack: key packages, versions, where configs live - Commands: make dev, make test, make build, make deploy (from Makefile) - Architecture: directory structure, naming conventions, key patterns - Testing: how to run tests, where test files live, testing conventions - Common tasks: add a new page/screen, add an API endpoint, add a model

This makes every scaffolded project immediately Claude-friendly — new sessions get project context via the skill.

MCP server (optional): If PRD indicates a data/AI/developer product, also generate MCP server stub. See templates/mcp-skills-bundle.md for the full "MCP + Skills bundle" pattern and rules for when to generate MCP.

Then add stack-specific files. See references/stack-structures.md for per-stack file listings (8 stacks: nextjs, ios, kotlin, cloudflare, astro-static, astro-hybrid, python-api, python-ml).

  1. Generate Makefile — stack-adapted with: help, dev, test, lint, format, build, clean, deploy targets.

- Add integration target if the project has a CLI or deterministic pipeline (stub with a comment if not yet implemented) - ios-swift must also include: generate (xcodegen), archive (xcodebuild archive), open (open .xcarchive for Distribute) - The Makefile is the canonical command interface — /build and /review use make targets instead of raw commands

  1. Generate CLAUDE.md for the new project:

- Project overview (problem/solution from PRD) - Tech stack (packages + versions from Context7) - Skills section: list available .claude/skills/ with descriptions - Directory structure - Common commands (reference make help) - SGR / Domain-First section - Architecture principles (from dev-principles) - Harness Engineering section (from templates/principles/harness-engineering.md): - CLAUDE.md philosophy: "this file is a map, not a manual — keep ~100 lines, point to docs/" - Harness health checklist (subset relevant to this project) - Architectural constraints: module boundaries, data validation at boundaries - Agent legibility: lint errors must include remediation instructions - Anti-patterns: don't put knowledge in Slack/Docs, don't micromanage implementation - Do/Don't sections - MCP Integration section (optional, if MCP tools available): Lists available MCP tools: project_code_search, kb_search, session_search, codegraph_query, project_info, web_search

  1. Generate README.md — project name, description, prerequisites, setup, run/test/deploy.
  1. Generate .gitignore — stack-specific patterns.
  1. Copy PRD to docs/: Copy from knowledge base or generate in place.
  1. Git init + first commit:
    cd <projects_dir>/<name>
    git init && git add . && git commit -m "Initial project scaffold

    Stack: <stack-name>
    Generated by /scaffold"
  1. Create GitHub private repo + push:
    cd <projects_dir>/<name>
    gh repo create <name> --private --source=. --push
  1. Register project + index code (optional, if MCP tools available):

- If project_code_reindex MCP tool is available, index the new project for code search:

      mcp__solograph__project_code_reindex(project="<name>")
  1. Output summary:
    Project scaffolded!

      Path:   <projects_dir>/<name>
      GitHub: https://github.com/<user>/<name>
      Stack:  <stack-name>
      PRD:    docs/prd.md
      CLAUDE: configured
      Skills: .claude/skills/dev/ (project workflow)

    Next steps:
      cd <projects_dir>/<name>
      <install command>    # pnpm install / uv sync / etc.
      <run command>        # pnpm dev / uv run ... / etc.

    Then: /setup → /plan "First feature" → /build

Verification

Before reporting "project scaffolded":

  1. Verify all generated files exist (ls the directory tree).
  2. Run the install command (pnpm install, uv sync, etc.) — must succeed.
  3. Run the dev/build command if applicable — must not error.
  4. Verify git init + first commit succeeded (git log --oneline -1).
  5. Verify GitHub repo creation (gh repo view or check URL).

Never say "scaffold complete" without running the install and verifying it works.

Common Issues

Stack YAML not found

Cause: Stack template missing from templates/stacks/ or not symlinked. Fix: Skill uses built-in knowledge if template not found. To fix: ensure solo-factory/templates/stacks/<stack>.yaml exists.

GitHub repo creation fails

Cause: gh CLI not authenticated or repo name already taken. Fix: Run gh auth login first. If name taken, choose a different project name.

Context7 queries fail

Cause: MCP server not running or Context7 rate limited. Fix: Skill proceeds with stack YAML versions as fallback. Context7 enhances but is not required.

org defaults missing

Cause: ~/.solo-factory/defaults.yaml not created. Fix: Run /init first for one-time setup, or skill will ask for bundle ID and team ID interactively.

平台分布

OpenClaw

73.06%
按下载量换算5,046

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

调用外部服务

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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