duclm1x1
duclm1x1/Dive-Ai
相关职业SOC
基于 SOC 职业分类
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/duclm1x1/Dive-Ai --skill hn-extract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。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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基于 SOC 职业分类
| name | hn-extract |
| description | Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input. |
| metadata | {"openclaw":{"always":true,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/hn-extract/hn-extract/SKILL.md","os":["darwin","linux","win32"],"tags":["hn","hackernews","comments","extract","markdown","python","uv","scraper","rss","reader","summarize"],"requires":{"bins":["uv"]}}} |
Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.
see Examples
uv installed and in PATH.No install beyond having uv.
Dependencies will be installed automatically by uv into to a dedicated venv when run this script.
When an agent is asked to extract a HackerNews post:
uv run --script ${baseDir}/hn-extract.py <input> -o /tmp/hn-<id>.md.message tool (action=send, filePath="/tmp/hn-<id>.md", message="Extraction complete. Do you want me to summarize it?").# run as uv script
uv run --script ${baseDir}/hn-extract.py <hn-id|hn-url|path/to/item.json> [-o path/to/output.md]
# Examples
uv run --script ${baseDir}/hn-extract.py 46861313 -o /tmp/output.md
uv run --script ${baseDir}/hn-extract.py "https://news.ycombinator.com/item?id=46861313"
-o to print to stdout.-o are created automatically.