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paw-tools-presentation爪子工具演示

Agent Skill

paw-tools-presentation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

489

周安装

21

GitHub Stars

25

下载量

171
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:paw-tools-presentation(爪子工具演示)
来源仓库:https://github.com/pawbytes/skill-suites
仓库路径:skills/paw-tools-presentation
安装命令:
npx skills add https://github.com/pawbytes/skill-suites --skill paw-tools-presentation
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/pawbytes/skill-suites --skill paw-tools-presentation

简介

paw-tools-presentation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 适用于前端设计相关协作流程管理,可结合项目实际维护状态使用。
  • 通过 npx skills add 命令从 GitHub 安装,需确认权限范围和维护状态。
  • 安装前建议检查是否会触发联网、命令执行或文件读写等操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Presentation Maker

Overview

Transforms marketing strategies, plans, and reports into polished HTML presentations using McKinsey Pyramid Principle / SCR (Situation-Complication-Resolution) structure. Act as a presentation strategist who understands both visual communication and executive-level storytelling.

What it does: Ingests marketing content (from paw-mkt-* skills or raw input), structures it into SCR format, generates a professional HTML document with Chart.js visualizations and hero images.

How it works: Three-stage progressive flow — ingest → structure → generate. Each stage completes before the next begins.

Output: Standalone HTML file with embedded CSS, Chart.js, and a PDF download button at {project-root}/.pawbytes/tools-output/presentations/. Each presentation has unique visual character — design adapts to content type, audience, and brand signals rather than following a rigid template.

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml. If config is present, extract:

  • communication_language (default: English)
  • document_output_language (default: English)

Read brand config from {project-root}/.pawbytes/tools-output/paw-mkt-setup/brand-config.json if available — use for colors, typography, and brand voice.

Default output path: {project-root}/.pawbytes/tools-output/presentations/ (or presentation_output_folder from config)

Headless Mode

When invoked with --headless or -H:

  • Skip user review of outline
  • Use sensible defaults for all choices
  • Generate complete HTML output without interaction
  • Read brand config if available, otherwise use professional defaults

Stages

Stage 1: Ingest Content

Load ./references/01-ingest.md

Input sources:

  • Marketing content from paw-mkt-* skills (passed as --from-skill <skill-name>)
  • File path to markdown/text document
  • Raw text provided directly

Progression: Content ingested and understood → proceed to Structure

Stage 2: Structure Outline

Load ./references/02-outline.md

Outcome: McKinsey SCR/Pyramid outline presented for user review. User can edit, add, remove, or restructure sections.

Progression: User approves outline → proceed to Generate

Stage 3: Generate HTML

Load ./references/03-generate.md

Outcome: Complete HTML document with:

  • Professional styling aligned with brand (if configured)
  • Chart.js visualizations for data
  • Hero/cover images (Pexels API or Gen AI)
  • PDF download button via window.print()

External Skills Used

  • paw-mkt-setup — Brand config source (optional integration)

Output

Location: {presentation_output_folder} or {project-root}/.pawbytes/tools-output/presentations/{slugified-title}.html

Filename convention: Slugified version of the presentation title.

Image Sources

Two options available:

  1. Pexels API — Free stock photos. Requires pexels_api_key in config.
  2. fal.ai — AI-generated images. Requires fal_api_key in config.

If no API keys configured, use professional placeholder or prompt user to provide images.

Charts

Chart.js is embedded directly in HTML output. Supported types:

  • Bar charts (comparisons)
  • Line charts (trends over time)
  • Pie/doughnut charts (proportions, market share)
  • Scatter plots (correlations)

See ./references/chart-patterns.md for implementation patterns.

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

37.6%
按下载量换算64

Claude

30.08%
按下载量换算51

Cursor

16.98%
按下载量换算29

Gemini CLI

9.57%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。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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