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Tweet Processor

Tweet Processor Skill

caqlayan0 来源安装数☆ 0 仓库 Stars

安装与使用

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。

查看来源 ↗使用指南

技能说明

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

## [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

来源信息

Source
github
Repository
openclaw/skills
Path
skills/caqlayan/tweet-processor
Version
—
Commit
b7789b6a14bba9ddcde6f7d2a36cc93211f61aa7
分类来源
rules
状态
active
可见性
public

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。

README

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:

## [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

来源内容

SKILL.md
# 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
README
# 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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