Claude Skill

ai-news

Fetch and curate AI news from X/Twitter list. Use when user asks for AI news, AI digest, what's happening in AI, or wants a summary of AI announcements, papers, and releases.

LLM Mart · 0 points · 8 views 0 listing impressions 0 install-command copies
Virus-scanned Reviewed automatically before listing.

Full trust report

Download dannote-dot-pi-skills_ai-news-b92ab10.zip · 1 KB
Part of dannote/dot-pi — 15 skills

Install

skills CLI npx skills add https://github.com/dannote/dot-pi/tree/master/skills/ai-news
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install dannote-dot-pi@llmmart
Git git clone https://github.com/dannote/dot-pi.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole dannote/dot-pi collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

AI News Digest

Fetch and curate important AI news from the user's X/Twitter AI list.

Prerequisites

  • @dannote/bird-premium package (official X API v2)
  • AI list ID: 1894700501725229467

Workflow

  1. Fetch tweets from the last 24 hours (use pagination to get all)
  2. Filter out noise (marketing, challenges, hiring, retweets, emojis-only)
  3. Categorize into: Releases, Papers, Insights, Tools
  4. Extract actual announcement links from tweet text (t.co URLs to blogs, GitHub, arxiv)
  5. Include tweet link as source

Fetching Last 24 Hours

The list produces ~250-300 tweets per day. Use pagination to fetch all:

# First request (100 tweets max per request)
bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --json

# Continue with cursor from previous response until createdAt < 24h ago
bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --cursor <nextCursor> --json

Stop fetching when the oldest tweet's createdAt is older than 24 hours.

Merge all tweets from paginated responses, then filter by createdAt >= (now - 24h).

Filtering Criteria

Include (important)

  • Model releases and announcements
  • Research papers (arxiv links, paper titles)
  • Tool/library releases with technical details
  • Benchmark results
  • Technical insights and analysis
  • Infrastructure updates (vLLM, ComfyUI, MLX, etc.)
  • API launches

Exclude (noise)

  • Marketing fluff ("excited to announce", "join us")
  • Challenges and contests
  • Hiring posts
  • Retweets (text starting with "RT @")
  • Single emoji or short reaction posts
  • Partnership announcements without technical substance
  • Repetitive product links spam

Output Format

Organize into sections. Extract actual links from tweet text when available (GitHub, arxiv, blog posts). Include tweet as source.

## Releases

**ProductName** (Company) — Brief description
Link: https://github.com/org/repo (or blog/arxiv link from tweet)
Source: https://x.com/username/status/ID

## Papers

**Paper Title** — One-line summary (Institution)
Link: https://arxiv.org/abs/XXXX
Source: https://x.com/username/status/ID

## Insights

**Topic** — Key finding or leak
Source: https://x.com/username/status/ID

## Tools

**Tool** — What it does
Link: https://example.com
Source: https://x.com/username/status/ID

Example Usage

User: "What's happening in AI today?"

  1. Fetch first page:
    bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --json
    
  2. Check oldest tweet's createdAt — if < 24h ago, fetch next page with --cursor
  3. Repeat until oldest tweet is > 24h old
  4. Merge all tweets, filter to last 24h by createdAt
  5. Parse JSON, extract: author.username, text, id
  6. Build source link: https://x.com/{username}/status/{id}
  7. Extract t.co links from text, resolve to actual URLs when relevant
  8. Filter noise, categorize, output curated digest
Files (dot-pi)
  • SKILL.md 3.1 KB
    ---
    name: ai-news
    description: Fetch and curate AI news from X/Twitter list. Use when user asks for AI news, AI digest, what's happening in AI, or wants a summary of AI announcements, papers, and releases.
    ---
    
    # AI News Digest
    
    Fetch and curate important AI news from the user's X/Twitter AI list.
    
    ## Prerequisites
    
    - `@dannote/bird-premium` package (official X API v2)
    - AI list ID: `1894700501725229467`
    
    ## Workflow
    
    1. Fetch tweets from the last 24 hours (use pagination to get all)
    2. Filter out noise (marketing, challenges, hiring, retweets, emojis-only)
    3. Categorize into: Releases, Papers, Insights, Tools
    4. Extract actual announcement links from tweet text (t.co URLs to blogs, GitHub, arxiv)
    5. Include tweet link as source
    
    ## Fetching Last 24 Hours
    
    The list produces ~250-300 tweets per day. Use pagination to fetch all:
    
    ```bash
    # First request (100 tweets max per request)
    bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --json
    
    # Continue with cursor from previous response until createdAt < 24h ago
    bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --cursor <nextCursor> --json
    ```
    
    **Stop fetching when** the oldest tweet's `createdAt` is older than 24 hours.
    
    **Merge all tweets** from paginated responses, then filter by `createdAt` >= (now - 24h).
    
    ## Filtering Criteria
    
    ### Include (important)
    
    - Model releases and announcements
    - Research papers (arxiv links, paper titles)
    - Tool/library releases with technical details
    - Benchmark results
    - Technical insights and analysis
    - Infrastructure updates (vLLM, ComfyUI, MLX, etc.)
    - API launches
    
    ### Exclude (noise)
    
    - Marketing fluff ("excited to announce", "join us")
    - Challenges and contests
    - Hiring posts
    - Retweets (text starting with "RT @")
    - Single emoji or short reaction posts
    - Partnership announcements without technical substance
    - Repetitive product links spam
    
    ## Output Format
    
    Organize into sections. Extract actual links from tweet text when available (GitHub, arxiv, blog posts). Include tweet as source.
    
    ```markdown
    ## Releases
    
    **ProductName** (Company) — Brief description
    Link: https://github.com/org/repo (or blog/arxiv link from tweet)
    Source: https://x.com/username/status/ID
    
    ## Papers
    
    **Paper Title** — One-line summary (Institution)
    Link: https://arxiv.org/abs/XXXX
    Source: https://x.com/username/status/ID
    
    ## Insights
    
    **Topic** — Key finding or leak
    Source: https://x.com/username/status/ID
    
    ## Tools
    
    **Tool** — What it does
    Link: https://example.com
    Source: https://x.com/username/status/ID
    ```
    
    ## Example Usage
    
    User: "What's happening in AI today?"
    
    1. Fetch first page:
       ```bash
       bunx --bun @dannote/bird-premium list-timeline 1894700501725229467 -n 100 --json
       ```
    2. Check oldest tweet's `createdAt` — if < 24h ago, fetch next page with `--cursor`
    3. Repeat until oldest tweet is > 24h old
    4. Merge all tweets, filter to last 24h by `createdAt`
    5. Parse JSON, extract: `author.username`, `text`, `id`
    6. Build source link: `https://x.com/{username}/status/{id}`
    7. Extract t.co links from text, resolve to actual URLs when relevant
    8. Filter noise, categorize, output curated digest
    

Comments (0)

Sign in to join the conversation.

No comments yet.

Reviews (0)

No reviews yet.

Related