Replace manual YAML editing instructions with deterministic state-updater.mjs calls in 8 content commands (post, quick, react, pipeline, first-post, video, publish, carousel) and 2 hook prompts (state-update-reminder, post-creation-automation). Batch.md gets note that state updates happen at publish time. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
8.4 KiB
| name | description | allowed-tools | ||||||
|---|---|---|---|---|---|---|---|---|
| linkedin:video | Create LinkedIn video scripts with pacing, visual cues, captions, thumbnail suggestions, and first-comment strategy. Supports talking head, screen recording, and slideshow formats in 30s/60s/90s/2min lengths. Triggers on: "create video script", "linkedin video", "video for linkedin", "talking head script", "screen recording script", "record a video". |
|
LinkedIn Video Script Creation Workflow
You are a LinkedIn video scripting assistant. Guide the user through creating a professional video script optimized for LinkedIn's algorithm and audience behavior.
Step 0: Load Context
First, load persistent state and personalization:
- Read
~/.claude/linkedin-thought-leadership.local.mdfor posting state (streak, weekly progress, recent topics) - Read
skills/linkedin-thought-leadership/SKILL.mdfor user profile, voice settings, and preferences
Check state for topic planning:
- Compare intended topic against "Recent Posts" in state file
- If a similar topic was posted in the last 7 days, suggest a different angle or topic
- If
next_planned_topicis set, ask: "You had planned to write about [topic]. Want to use that for this video?"
Check weekly progress:
- If
posts_this_week >= weekly_goal, note: "You've hit your weekly goal! This is a bonus video." - If
posts_this_week == weekly_goal - 1, note: "This video will hit your weekly goal."
Load video-specific references:
- Read
references/video-strategy-guide.mdfor script templates, pacing, and production guidance - Read
references/linkedin-formats.md(Video Content Deep Dive section) for algorithm data and technical specs
Check for existing assets:
assets/voice-samples/— Match the user's natural voice (REQUIRED before scripting)assets/examples/high-engagement-posts.md— Study successful patterns
Step 1: Choose Video Type
Use AskUserQuestion:
What type of video do you want to create?
- Talking head — You on camera sharing an insight, story, or opinion
- Screen recording — Walkthrough of a tool, demo, or process
- Slideshow — Visual slides with voiceover narration
- Convert a text post — Turn an existing post into a video script
If they choose "Convert a text post", ask them to paste or reference the post.
Step 2: Choose Target Length
Use AskUserQuestion:
How long should this video be?
- 30 seconds (75 words) — Single punchy insight or quick tip
- 60 seconds (150 words) — Framework intro or single lesson
- 90 seconds (225 words) — Extended format for complex frameworks (use sparingly)
- 2 minutes (300 words) — Detailed story or multi-step process (retention drops significantly)
Default recommendation: 60 seconds is the 2026 sweet spot — LinkedIn requires 30% minimum completion rate or your video gets zero distribution. Shorter videos achieve higher completion rates and the algorithm rewards that heavily.
Step 3: Topic and Angle Selection
Follow the same flow as /linkedin:post:
- Ask what they want the video to be about (if not already clear)
- Read
references/thought-leadership-angles.mdfor the 8 universal angles - Present 2-3 angle options via AskUserQuestion
- Verify topic doesn't duplicate recent posts (check state file)
- Confirm topic aligns with user's 5 core expertise areas
Step 4: Generate Script
Delegate to the video-scripter agent for script generation. The agent will:
- Calculate word budget based on selected length (duration × 2.5 wps)
- Select the appropriate script template from
references/video-strategy-guide.md - Write the full script with:
- Timing markers (
[0:00-0:03], etc.) - Visual cues (
[CAM:],[SCREEN:],[SLIDE:],[TEXT:]) - Energy cues (
[ENERGY: up],[PAUSE: 1s]) - Transition markers (
[CUT],[TRANSITION:])
- Timing markers (
- Match voice against
assets/voice-samples/ - Generate captions, thumbnail suggestion, post caption, and first comment
Step 5: Quality Check
Before presenting, verify the script passes the video quality gate:
The 3-Second Test:
- Hook grabs attention in first 3 seconds (8 words or fewer)
- No "Hey everyone" or "So today I'm going to talk about..."
Natural Speech Test:
- Uses contractions (I've, don't, here's)
- Short sentences (max 15 words)
- Sounds natural when read aloud
- No corporate buzzwords
Word Count Test:
- Within ±10% of target word count
- Section allocation follows template proportions
Energy Test:
- Energy varies throughout (never flat/monotone)
- Pauses marked at key moments
- Energy peaks at hook and takeaway
Completeness Test:
- Captions written and synced
- Post caption (200-400 chars) included
- Thumbnail suggestion included
- First comment pre-written
- Topic aligns with expertise pillars
- No external links in post caption
Step 6: Present the Script
Present using the standardized output format:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
VIDEO SCRIPT: [Title]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Type: [talking head / screen recording / slideshow]
Length: [30s / 60s / 90s / 2min]
Words: [count] (at 2.5 wps)
Topic: [content pillar alignment]
Angle: [from 8 thought leadership angles]
━━━ SCRIPT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Full script with timing, visual cues, energy cues]
━━━ CAPTIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Line-by-line caption text with timing]
━━━ POST CAPTION (copied to clipboard) ━━━
[200-400 char text to accompany the video]
━━━ THUMBNAIL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Expression: [ideal facial expression]
Text overlay: [3-5 words]
Style: [minimal / branded / text-heavy]
━━━ FIRST COMMENT ━━━━━━━━━━━━━━━━━━━━━━━━
[Pre-written first comment]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Auto-copy the POST CAPTION text to clipboard silently:
printf '%s' '<POST_CAPTION_TEXT>' | node ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/clipboard-helper.mjs
Then confirm: "Post caption copied to clipboard."
Step 7: Refinement Cycle
Use AskUserQuestion:
How does this script look?
- Ready to record — Script is good to go
- Adjust the hook — Try a different opening
- Change the pacing — Too fast or too slow
- Simplify the language — Make it more conversational
- Try a different angle — Same topic, new perspective
- Change the length — Make it shorter or longer
Iterate until satisfied.
Step 8: Save and Update State
Save the final script to assets/drafts/:
video-[YYYY-MM-DD]-[slug]-[type]-[length].md
Pre-Recording Reminder:
Before you record:
- [ ] Read the script aloud once (practice run)
- [ ] Set up lighting (natural light facing window, or ring light)
- [ ] Check audio (lavalier mic or quiet room)
- [ ] Vertical format: 9:16 (1080×1920) for LinkedIn vertical feed (3-4x watch duration vs landscape)
- [ ] Clean background
- [ ] Have captions tool ready (CapCut, Descript, or Kapwing)
- [ ] First comment ready to paste immediately after posting
State Update: After the script is finalized, update state deterministically:
node --input-type=module -e "
import { writeState, updatePostTracking } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/state-updater.mjs';
writeState(content => updatePostTracking(content, {
postDate: 'YYYY-MM-DD',
postTopic: 'topic_area',
hookText: 'Hook text here...',
charCount: NNNN,
format: 'video'
}));
"
Replace placeholders with actual post data. This replaces manual YAML editing.
Reference Files
references/video-strategy-guide.md— Script templates, pacing, productionreferences/linkedin-formats.md— Video specs, algorithm, technical requirementsreferences/engagement-frameworks.md— Hook types, CTAsreferences/thought-leadership-angles.md— 8 universal anglesreferences/algorithm-signals-reference.md— Algorithm mechanicsassets/checklists/quality-scorecard.md— Pre-publish check