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Agent Skill · 研究检索

authoring-stitch-prompts(创作针迹提示)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

authoring-stitch-prompts 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 58,786。

总安装 404周安装 17GitHub Stars 12下载 141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:authoring-stitch-prompts(创作针迹提示)
来源仓库:https://github.com/joaquimscosta/arkhe-claude-plugins
仓库路径:skills/authoring-stitch-prompts
安装命令:
npx skills add https://github.com/joaquimscosta/arkhe-claude-plugins --skill authoring-stitch-prompts
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/joaquimscosta/arkhe-claude-plugins --skill authoring-stitch-prompts

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。

将自然语言输入解析为结构化屏幕与应用上下文,支持多屏任务切分。结合设计意图记忆与代码包扫描,识别框架类型与视觉元素布局。适用于 UI 开发辅助与跨模态提示工程优化。安装需通过 npx skills add 添加 arkhe-claude-plugins 仓库中的 authoring-stitch-prompts 技能。

支持 fallback 到独立模式,即使无设计文件也可处理基础输入。

来源仓库内路径:skills/authoring-stitch-prompts

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/joaquimscosta/arkhe-claude-plugins --skill aut…;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

authoring-stitch-prompts 怎么安装?

在终端执行 npx skills add https://github.com/joaquimscosta/arkhe-claude-plugins --skill authoring-sti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

authoring-stitch-prompts 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。

authoring-stitch-prompts 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。

authoring-stitch-prompts 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。

authoring-stitch-prompts 用的人多吗?

公开数据是累计安装 404 次,近一周安装 17 次,下载 141 次,GitHub 12 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。

authoring-stitch-prompts 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
authoring-stitch-prompts

创作针迹提示 · 本页

40412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

Authoring Stitch Prompts

Quick Start

  1. Collect context – accept natural language, specs, or referenced files describing the screen/app. 1.5. Discover design context (optional) – check for design-intent/:

- If exists: Extract Project Type, Design System from design-intent/memory/constitution.md - If not found: Scan codebase for framework hints (package.json) - Falls back gracefully to standalone mode - See WORKFLOW.md for details.

  1. Parse essentials – identify app type, screen focus, layout elements, and visual cues.
  2. Detect split points – analyze if input contains multiple screens or distinct intents (>2). Apply smart defaults: split if >2 screens/intents, else combine. Users can request regeneration with different approach.
  3. Filter aggressively – strip ALL non-UI concerns (backend, auth, APIs, caching, error handling, performance metrics, code-level specs). Focus EXCLUSIVELY on visual layout, components, colors, typography, spacing, and interaction patterns.
  4. Condense – rewrite into one atomic Stitch directive using "Design/Create/Add…" phrasing.
  5. Structure output – follow the Stitch prompt template (directive sentence → bullet list → 3–6 style cues → constraints). If design context was discovered, inject project-appropriate style cues. Do NOT use multi-section headings.
  6. Validate – ensure UI nouns are present, word count <250, NO technical implementation terms, and format matches EXAMPLES.md structure before returning the prompt.

Use this Skill whenever users need Stitch-ready wording, prompt refinements, or style-consistent rewrites.


File Output

Prompts are saved to feature-based directories under design-intent/google-stitch/{feature}/:

  • Feature name derived from screen/page purpose (kebab-case, semantic, concise)
  • Prompt files: prompt-v{version}.md (auto-incremented from existing versions)
  • Pre-created subdirectories: exports/ (Stitch outputs) and wireframes/ (reference mockups)
  • File composition: <!-- Layout: {Name} --> header, then --- separators between component sections (<!-- Component: {Name} -->)
  • 6-prompt Stitch limit: If >6 prompts, split into prompt-v{version}-part{N}.md files (max 6 per part)
  • Copy-paste ready: Entire file works directly in Stitch interface

See WORKFLOW.md for detailed file composition rules, REFERENCE.md for Stitch best practices, and EXAMPLES.md for worked examples (Examples 14–16 cover multi-component and split scenarios).


Input Types

Accepted

  • Natural-language descriptions (single screen or short flows)
  • Markdown/YAML/JSON specs (/specs/dashboard.md)
  • Revision directives ("move KPI cards above chart", "convert to French", "change button to green")
  • References to uploaded wireframes or images
  • Language conversion requests ("switch to Spanish", "German version")
  • Structured input from /prompt command (see below)

Structured Input (from /prompt command)

When invoked via /prompt, the skill may receive pre-parsed preferences (Brief, Components, Style, Structure). Parse structured fields and apply style mappings before proceeding. See WORKFLOW.md for field handling and style mapping tables.

All input detail levels are valid — Stitch infers patterns from minimal descriptions. Use adjectives to convey vibe when details are sparse ("vibrant fitness app", "minimal meditation app").


Workflow Overview

High-level loop: parse → condense → format → validate. Detailed branching logic, including cue extraction and revision handling, lives in WORKFLOW.md.


Output Structure

Prompts must follow the Stitch-friendly template:

  • One-sentence description of the app/screen + primary intent.
  • Bullet list (3–6 items) covering layout, components, or flows.
  • Visual style cues (palette, typography, density, tone).
  • Optional behavior/constraint reminders (responsiveness, export format).

Reference templates/authoring-stitch-prompts-template.md for wording patterns and templates/layout-prompt-template.md for layout/foundation prompts.


Examples

Representative before/after samples (SaaS dashboard, banking app, iterative edits, spec conversions) are in EXAMPLES.md. Use them to mirror tone and formatting; keep this file lean by not re-embedding the full transcripts here.


Design Context Integration

When design-intent/ exists in the project, the skill enhances style cues with project context:

  • Project Type influences tone (e.g., "enterprise-grade" for Enterprise, "friendly, approachable" for Consumer)
  • Design System names appear in style cues (e.g., "Fluent UI styling", "Material Design patterns")

The skill does NOT inject specific tokens (hex colors, spacing values)—only high-level descriptors that help Stitch generate contextually appropriate designs.

Fallback behavior: If design-intent/ is not found, the skill works standalone using default style cues.

See WORKFLOW.md for discovery logic and WORKFLOW.md for injection rules.


MCP Integration (Optional)

When @_davideast/stitch-mcp is configured, prompts can be sent directly to Stitch for generation after authoring.

With MCP: Author prompt -> Generate screens -> Fetch images/code Without MCP: Author prompt -> Copy to Stitch manually

After authoring, offer: "Stitch MCP is available. Generate screens now? [Yes / No / Just save prompts]"

If accepted, invoke the generating-stitch-screens skill with the authored prompt file.


Common Issues

  • Prompts too verbose – Re-run formatting with the template and trim narration. See TROUBLESHOOTING.md.
  • Missing style cues – Derive palette/typography keywords from user input or prior session context before finalizing. See TROUBLESHOOTING.md.
  • Multi-goal briefs – Split into multiple prompts; re-emphasize Stitch's atomic focus. See TROUBLESHOOTING.md.

Reference Files

For advanced usage:

平台分布

Codex

39.09%
按下载量换算55

Claude

29.39%
按下载量换算41

Cursor

18.9%
按下载量换算27

Gemini CLI

8.87%
按下载量换算13

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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