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authoring-stitch-prompts创作针迹提示

Agent Skill

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。

总安装

404

周安装

17

GitHub Stars

12

下载量

141
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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:

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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

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。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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