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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 Codex、Claude、Cursor、Gemini CLI 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 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 48,372。

总安装 692周安装 28GitHub Stars 15下载 217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
unknown

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-factory
仓库路径:skills/solo-scaffold
安装命令:
npx skills add https://github.com/fortunto2/solo-factory --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/fortunto2/solo-factory --skill 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。

solo-scaffold 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于脚手架或模板生成相关的信息检索任务。可通过 GitHub 仓库和 README 文档核验具体功能和使用方式。安装前应确认权限、维护状态及是否涉及网络或文件操作。

建议结合项目结构验证其模板适配性。

来源仓库内路径:skills/solo-scaffold

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/fortunto2/solo-factory --skill 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 npx skills add https://github.com/fortunto2/solo-factory --skill 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 Codex、Claude、Cursor、Gemini CLI。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?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

solo-scaffold 用的人多吗?

公开数据是累计安装 692 次,近一周安装 28 次,下载 217 次,GitHub 15 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。

solo-scaffold 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 需要明确授权才能用到公司项目里的场景。
  • 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

69215调用外部服务未明确通过

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

/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 and dev-principles-my.md (personal extensions) 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>"): 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: 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.

- 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" - 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

  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>
  2. 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: 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).

- 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

  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.
  2. Generate.gitignore — stack-specific patterns.
  3. Copy PRD to docs/: Copy from knowledge base or generate in place.
  4. Git init + first commit: cd <projects_dir>/<name> git init && git add. && git commit -m "Initial project scaffold Stack: <stack-name> Generated by /scaffold"
  5. Create GitHub private repo + push: cd <projects_dir>/<name> gh repo create <name> --private --source=. --push
  6. 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

Codex

37.68%
按下载量换算82

Claude

27.76%
按下载量换算60

Cursor

17.86%
按下载量换算39

Gemini CLI

8.49%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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