Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Produce a repeatable “collect → extract → summarize → publish” workflow for any X handle (optionally with a keyword) using the actionbook-rs approach: actionbook browser open the profile/search page actionbook browser snapshot to get the accessibility tree (incl. article nodes) (optional) actionbook browser eval to scroll extract post text from article blocks analyze + draft output (Chinese internal notes; English publish) publish on X (neutral tone; optionally attach an image)
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.
Pick one entry point: Profile: https://x.com/<handle> Search (keyword + optional recency): https://x.com/search?q=from%3A<handle>%20<keyword>&src=typed_query&f=live Commands (example): # open (profile) actionbook browser open "https://x.com/<handle>" # 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.
Write a compact Chinese working summary: themes (3–6 bullets) representative posts (links) what’s missing / uncertainty
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.
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)
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
references/templates.md — recap + thread templates (English) references/checklist.md — extraction checklist + caveats references/image-card.md — HTML/SVG card approach (no Pillow)
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