菜单
Automate HappyCapy skill creation by finding and adapting existing skills from anthropics/skills repository. Handles environment constraints (Python 3.11, Node.js 24, no Docker). Use when user wants to create or adapt skills for specific tasks.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/happycapy-ai/Happycapy-skills --skill happycapy-skill-creator命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
将口播文稿、观点句或抽象概念做成高级 editorial halftone paper-collage / 半调纸拼贴 B-roll，支持单条 5-10 秒短片，也支持多段拼接成完整广告。用户说“collage b-roll”“纸拼贴 b-roll”“半调拼贴”“拼贴风格配画面”“用这段文稿做拼贴动画”“gbro-collage-broll”，或希望把一句/一段文稿转成拼贴视觉隐喻时，必须使用此 skill。强制采用分段规划 + 三阶段审批：先按文案自动分段并让用户确认段数与每段预估时长，再对每段只提视觉隐喻等用户确认，确认后生成彩色拼贴静帧等用户确认，静帧通过后才默认调用 Gemini Omni Flash 生成首尾帧组装动画（每段时长按该段台词说完所需时间动态计算，不再固定 5 秒）。默认视频模型固定为 gemini-omni-flash-preview，不再默认使用 Veo；只有用户明确指定其他模型时才切换。
Reusable fixed-style PPTX generation skill for the Apricot Ritual Index visual brand — warm apricot background (#FDDEB6), cocoa-brown typography (#6C4832), refined minimalist editorial poster aesthetic, elegant serif titles, narrow-sans labels, centered word stacks, thin horizontal rules, sparse image placement, widescreen 16:9 editable .pptx output. Use this skill whenever the user mentions Apricot Ritual Index, asks for a warm apricot minimalist presentation, wants a refined product-poster or ritual-index style deck, or requests a presentation using the Apricot Ritual Index visual system. Also trigger when the user says 'apricot ritual', 'ritual index deck', 'apricot minimalist slides', 'product poster presentation', 'ritual index pptx', 'editorial poster deck', 'typographic poster presentation', or 'warm apricot slides' in any context.
Reusable fixed-style PPTX generation skill for the Azure Host Forum visual brand — sky-blue background (#65AEFF), deep green typography (#07461E), olive side-panel accent (#728E03), cream portrait/detail color (#F1F0EA), bold contemporary industry sharing event aesthetic, oversized condensed grotesk titles, strong left-text / right-speaker-column composition, circular portrait frames, widescreen 16:9 editable .pptx output. Use this skill whenever the user mentions Azure Host Forum, asks for a presentation or deck in the Azure Host Forum style, wants a forum or industry-sharing deck, speaker event deck, expert talk slides, panel presentation, creative industry event deck, founder briefing slides, or any event/forum-style PowerPoint. Also trigger when the user says 'azure host forum', 'forum deck', 'speaker event slides', 'industry sharing presentation', 'host forum pptx', 'panel deck', 'workshop deck', or 'creative industry event slides' in any context.
基于 SOC 职业分类
正在显示 SKILL.md
| name | happycapy-skill-creator |
| description | Automate HappyCapy skill creation by finding and adapting existing skills from anthropics/skills repository. Handles environment constraints (Python 3.11, Node.js 24, no Docker). Use when user wants to create or adapt skills for specific tasks. |
Automate skill creation through adaptation rather than building from scratch.
python scripts/create_skill.py "Your requirement here" --name skill-name
Process:
.skill fileMain orchestrator - runs full workflow end-to-end
LLM-powered semantic search of anthropics/skills repository
Clone skill from GitHub (anthropics/skills)
Add new features using LLM fine-tuning
Scan for HappyCapy incompatibilities (Docker, unsupported runtimes, memory issues)
Auto-fix compatibility issues with LLM rewrites
Create distributable .skill file (zip format)
Compress PDFs:
python scripts/create_skill.py "I need to compress PDF files"
# Finds pdf skill → Clones → Adds compress function → Packages
Extract video frames:
python scripts/create_skill.py "Extract frames from videos every second"
# Finds video-frames skill → Clones → Adds interval parameter → Packages
HappyCapy provides:
HappyCapy does NOT support:
The tool automatically fixes incompatibilities.
AI_GATEWAY_API_KEY environment variable (auto-configured in HappyCapy)Use improved auto-fix with batching:
from scripts.auto_fix_improved import fix_compatibility_issues
fix_compatibility_issues(
skill_path=path,
issues=issues,
batch_size=5, # Process 5 issues per batch
max_retries=2 # Retry failed fixes up to 2 times
)
Troubleshooting: See references/bugfixes.md for known issues and solutions
Environment details: See references/happycapy-environment.md