Overview
- Skill Key
- caqlayan/tweet-processor
- Author
- caqlayan
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/caqlayan/tweet-processor
- Latest Commit SHA
- b7789b6a14bba9ddcde6f7d2a36cc93211f61aa7
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Tweet Processor 技能。 若已安装,则直接安装 Tweet Processor 技能。
# Tweet Processor Skill Extract and categorize insights from tweet links into structured notes. ## Usage When user sends a tweet URL, automatically: 1. Navigate to the tweet 2. Extract key insights (tools, tech, people, learnings) 3. Categorize into tweet-notes/ files 4. Append with proper formatting ## Input - Tweet URL (any x.com or twitter.com link) ## Output Appends to: - `tweet-notes/tools.md` — Software, services, APIs discovered - `tweet-notes/tech.md` — Development techniques, workflows - `tweet-notes/design.md` — UI/UX insights - `tweet-notes/people.md` — Accounts to follow - `tweet-notes/misc.md` — Other valuable insights ## Format ```markdown ## [Brief Title] **Date:** YYYY-MM-DD **URL:** [tweet URL] **Key takeaway:** [What matters] **Why it matters:** [Brief context] --- ``` ## Rules - Be selective — only genuinely useful insights - Skip fluff and noise - One insight can go into multiple files if relevant - Always include the source URL - Use today's date
# Tweet Processor Skill Automated tweet analysis and categorization for the tweet-notes system. ## What It Does When you send a tweet link to the agent with this skill active, it will: 1. **Navigate** to the tweet using browser automation 2. **Extract** key insights (tools, techniques, people, learnings) 3. **Categorize** into appropriate files: - `tools.md` — Software, APIs, services - `tech.md` — Development techniques, workflows - `design.md` — UI/UX insights - `people.md` — Worthwhile accounts - `misc.md` — Other valuable insights 4. **Append** with consistent formatting including date and URL ## How to Use Simply send a tweet URL: ``` https://x.com/username/status/1234567890 ``` The agent will automatically: - Detect it's a tweet link - Navigate and extract content - Categorize insights - Update the files - Report what was added ## Output Format Each entry follows this structure: ```markdown ## [Brief Descriptive Title] **Date:** 2025-02-20 **URL:** https://x.com/... **Key takeaway:** [The core insight or tool/technique] **Why it matters:** [Context on why this is valuable] --- ``` ## Files Managed - `/tweet-notes/tools.md` — Tools and services discovered - `/tweet-notes/tech.md` — Technical insights and workflows - `/tweet-notes/design.md` — Design resources and patterns - `/tweet-notes/people.md` — Accounts to follow - `/tweet-notes/misc.md` — Everything else ## Philosophy - **Be selective** — Only capture genuinely useful insights - **Skip the fluff** — Ignore hype and noise - **Actionable > Interesting** — Focus on things that can be used - **Link everything** — Always include source URLs
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