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BytesAgainBytesAgain
🦀 ClawHub

X Actionbook Recap

by @jack4world

Collect, scroll, extract, and summarize recent X (Twitter) posts for any handle (optionally filtered by keyword search) using the Actionbook Rust CLI (actionbook-rs) workflow (open → snapshot/accessibility tree → extract `article` text). Use when asked to analyze a handle over a time window (e.g., last 7 days), produce Chinese working notes, and publish a neutral English recap (single post or thread) from a specified account.

TERMINAL
clawhub install x-actionbook-recap

📖 About This Skill


name: x-actionbook-recap description: Collect, scroll, extract, and summarize recent X (Twitter) posts for any handle (optionally filtered by keyword search) using the Actionbook Rust CLI (actionbook-rs) workflow (open → snapshot/accessibility tree → extract article text). Use when asked to analyze a handle over a time window (e.g., last 7 days), produce Chinese working notes, and publish a neutral English recap (single post or thread) from a specified account.

X recap via actionbook-rs

What this skill is for

Produce a repeatable “collect → extract → summarize → publish” workflow for any X handle (optionally with a keyword) using the actionbook-rs approach:

1) actionbook browser open the profile/search page 2) actionbook browser snapshot to get the accessibility tree (incl. article nodes) 3) (optional) actionbook browser eval to scroll 4) extract post text from article blocks 5) analyze + draft output (Chinese internal notes; English publish) 6) publish on X (neutral tone; optionally attach an image)

Guardrails

  • Infinite scroll is not exhaustive; be explicit about coverage limits.
  • Don’t quote “recent interviews” unless the user provides exact links/timestamps.
  • Publishing is external action: confirm the target account + final copy before posting.
  • Workflow

    1) Collect posts (Actionbook)

    Pick one entry point:

  • Profile: https://x.com/
  • Search (keyword + optional recency): https://x.com/search?q=from%3A%20&src=typed_query&f=live
  • Commands (example):

    # open (profile)
    actionbook browser open "https://x.com/"

    snapshot (repeat after each scroll)

    actionbook browser snapshot --refs aria --depth 18 --max-chars 12000

    scroll a bit

    actionbook browser eval "window.scrollBy(0, 2200)"

    Extraction heuristic:

  • In snapshots, locate article nodes that contain the post text.
  • Record for each post:
  • - text (verbatim) - timestamp shown (relative or absolute) - URL if present - whether it’s a repost/quote (note it)

    Stop condition:

  • You have enough coverage for the user’s time window (e.g., 7 days) OR diminishing returns.
  • 2) Summarize (Chinese notes)

    Write a compact Chinese working summary:

  • themes (3–6 bullets)
  • representative posts (links)
  • what’s missing / uncertainty
  • 3) Draft publish copy (English, neutral)

    Choose output type:

  • Single post (≤280 chars) OR
  • Thread (6–10 parts) if needed
  • Use neutral framing:

  • “Observation from public posts …”
  • avoid mind-reading; separate “what he said” from interpretation
  • Use templates in references/templates.md.

    4) Image (optional but recommended)

    Preferred options (no Python required):

  • Clean crop of the relevant post (browser screenshot at 1280×720 + zoom)
  • A simple HTML/SVG card rendered in browser and screenshotted (see references/image-card.md)
  • 5) Publish on X

    If using OpenClaw browser automation:

  • open compose
  • paste final English copy
  • upload image (if any)
  • post / thread
  • Confirm before posting:

  • target handle (e.g., @gblwll)
  • final text
  • image choice
  • Bundled references

  • references/templates.md — recap + thread templates (English)
  • references/checklist.md — extraction checklist + caveats
  • references/image-card.md — HTML/SVG card approach (no Pillow)