dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Tweet Processor Skill
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install caqlayan/tweet-processor打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Extract and categorize insights from tweet links into structured notes.
When user sends a tweet URL, automatically:
Appends to:
tweet-notes/tools.md — Software, services, APIs discoveredtweet-notes/tech.md — Development techniques, workflowstweet-notes/design.md — UI/UX insightstweet-notes/people.md — Accounts to followtweet-notes/misc.md — Other valuable insights## [Brief Title]
**Date:** YYYY-MM-DD
**URL:** [tweet URL]
**Key takeaway:** [What matters]
**Why it matters:** [Brief context]
---
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Automated tweet analysis and categorization for the tweet-notes system.
When you send a tweet link to the agent with this skill active, it will:
tools.md — Software, APIs, servicestech.md — Development techniques, workflowsdesign.md — UI/UX insightspeople.md — Worthwhile accountsmisc.md — Other valuable insightsSimply send a tweet URL:
https://x.com/username/status/1234567890
The agent will automatically:
Each entry follows this structure:
## [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]
---
/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# 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
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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