How do I install the X Actionbook Recap skill?

Run npx skillmds@latest add dvcrn/x-actionbook-recap in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is X Actionbook Recap safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with X Actionbook Recap?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is X Actionbook Recap free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published X Actionbook Recap?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

X Actionbook Recap by dvcrn — Agent Skill

Name: X Actionbook Recap
Rating: 4.2 (5 reviews)
Author: dvcrn

X Actionbook Recap

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.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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:

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)

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/<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.

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)

---name: x-actionbook-recapdescription: 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 forProduce 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 page2) `actionbook browser snapshot` to get the accessibility tree (incl. `article` nodes)3) (optional) `actionbook browser eval` to scroll4) extract post text from `article` blocks5) 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/<handle>`- Search (keyword + optional recency): `https://x.com/search?q=from%3A<handle>%20<keyword>&src=typed_query&f=live`Commands (example):```bash# 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 bitactionbook 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 neededUse neutral framing:- “Observation from public posts …”- avoid mind-reading; separate “what he said” from interpretationUse 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 XIf using OpenClaw browser automation:- open compose- paste final English copy- upload image (if any)- post / threadConfirm 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)

Frequently asked questions