Del 1 — scaffold-bånd (KTG-beslutning: behold målbåndet, utvid komponentene). Komponentsummen var 960–1 640 mot målbåndet 1 200–1 800: en skjelett-konform draft kunne lande under gulvet og nådde aldri taket. Nye bånd — Context 250–350, Insight 550–850, Implication 250–350 (Hook 110–140 og CTA 50–100 uendret) — summerer til 1 210–1 790, altså INNI 1 200–1 800. Skjelett-konform er nå gate-konform per konstruksjon. Målbåndet 1 200–1 800 er uendret overalt; hooks/prompts/content-quality-gate.md (den kanoniske gaten) er ikke rørt. Alternativet — å heve taket per AuthoredUp D-4 — ville krevd 25 filer / 40 linjer inkl. gate-prompten, begge skills, quality-scorecard, config-malen og brain-fiksturen. Skjelettet fantes i seks kopier, alle rettet på KTG-go: commands/post.md, commands/batch.md, commands/pipeline.md, references/engagement-frameworks.md, agents/content-optimizer.md, skills/linkedin-content-creation/SKILL.md. De tre siste lå utenfor planens scope, men to av dem var internt selvmotsigende på én linje (overskrift 1 200–1 800 over komponenter som summerte til 960–1 640), og engagement-frameworks.md er nettopp fila post.md/pipeline.md instruerer modellen om å LESE for strukturen. Nabofunn tatt med på KTG-go: post.md:95 ga «Personal stories → 1 000–1 400», som motsa post.md:136s egen gate. Kald-review R2a MAJOR — nå 1 200–1 800. D-4 inn i kanonfila: ny «Post length»-seksjon i references/algorithm-signals-reference.md med AuthoredUp-optimumet 1 301–2 500 (372 126 poster, sep 2025–feb 2026), merket single-vendor/ett vindu, med eksplisitt note om at datapunktet gjør det shippede taket konservativt — ikke feil — og at de to AuthoredUp-N-ene i fila (621K vs 372K) er ulike studier. Kilde verifisert mot primærkilden, ikke overført fra planen. Del 2 — ferskhet-rester (begge påstander verifisert mot LinkedIn Help): - D-6 newsletter-strategy-guide.md: «5 000+ følgere» framstilt som terskel er feil — «All LinkedIn members have access to create a newsletter on LinkedIn» (a517914). Omskrevet til redaksjonell modenhetsvurdering (også i Mistakes-tabellen og Bottom Line). E-post er ikke garantert: LinkedIn de-dupliserer på tvers av kanaler — «if you receive an in-app or push notification, you should not expect to also receive an email for the same notification» (a517914). Bringer referansefila i tråd med newsletter.md:2384. Fjernet samtidig den ukildede «Algorithm favors newsletters from established creators» i den omskrevne blokka. - D-7 first-comment-strategy.md: «pinned by default» er uverifisert og feil — pinning er en eksplisitt forfatterhandling (a524166), og standard kommentarsortering er algoritmisk. Lagt til «What this file does not claim»- avsnitt som speiler kanonfilas «contested»/low-confidence-epistemikk. Scope 3 (KTG-go, amend): references/engagement-frameworks.md har FIRE skjeletter, ikke ett. To til brot gulvet i malbandet — Data-Driven Post (1 050-1 400) og Contrarian Post (1 060-1 410) — og er lagt om til samme komponentprofil som Standard, sum 1 210-1 790. Narrative Arc (1 350-1 500) la allerede inni og star urort; alle tre har na en eksplisitt sum-linje. Fila er den post.md:104 sender modellen til for «story structures», sa a sertifisere den som fikset med to odelagte skjeletter igjen ville vaert usant. SUPERSEDED og ikke gjeninnført: gammel B §S6 Del 2 pkt 1 (first-comment −5/−10 %-tall, pods-eskalering, 360Brew-fotnote). Verifisering: bånd-summen ligger inni målbåndet i alle seks kopier av standard-skjelettet og i alle fire skjelettene i engagement-frameworks.md (grep-bevis, 0 gjenværende 200-300/400-800) · D-6/D-7 omformulert (0 treff på «5,000+ followers» / «pinned by default» / «inbox + email») · alle ti suiter grønne, alle floors uendret: test-runner 270/0 (269 assertions >= floor 251) · trends 300/0 · analytics 202/0 · hooks 191/0 · brain 134/0 · editions 72/0 · render 63/0 · specifics-bank 45/0 · tests 35/0 · contract-gate 33/0. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LhF1H7ctT5Fk8KkoCQpe5n
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8.3 KiB
Markdown
218 lines
8.3 KiB
Markdown
---
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name: linkedin:batch
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description: |
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Create a full week of LinkedIn content in one session. Input one theme or content pillar,
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output 3-5 posts with varying angles and formats. Ideal for Sunday content prep.
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Triggers on: "batch content", "week of posts", "content batch", "sunday prep",
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"create multiple posts", "linkedin batch", "batch create".
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allowed-tools:
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- Read
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- Glob
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- Grep
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- WebFetch
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- Write
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- Bash
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- AskUserQuestion
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- Task
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---
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# LinkedIn Batch Content Creation
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You are a LinkedIn batch content creator. Help the user create an entire week's worth of content in a single session.
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## Step 0: Load Context
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Load state and personalization:
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- Read `~/.claude/linkedin-studio.local.md` for recent topics and weekly goals
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- **Read `## Do-Next Directives` in the same file** — the last measurement pass's directives
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(report / analyze / A/B Adopt / 48h monitor) with their evidence pointers. A batch is where
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they bite hardest: apply them across the week's posts and name which post carries which
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directive in the plan. Never edit or clear the section (lifetime is managed per source)
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- Read `${CLAUDE_PLUGIN_ROOT}/skills/linkedin-studio/SKILL.md` for profile and preferences
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- Check `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/plans/` for existing weekly plan
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- Read `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/templates/my-post-templates.md` for proven templates — vary templates across the batch for format diversity
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If a plan exists for this week, use it as the foundation. If not, create one first.
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## Step 1: Choose Theme or Pillar
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Ask the user for their starting point:
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Use AskUserQuestion:
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1. **One main theme** — I have a topic I want to explore from multiple angles
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2. **Content pillar** — Focus on one of my expertise areas
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3. **Use existing plan** — Follow the weekly plan already created
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4. **Mix it up** — Diverse topics across pillars
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If they choose a theme, help them identify 3-5 unique angles from `${CLAUDE_PLUGIN_ROOT}/references/content-angles.md`. For timely angles, delegate to the `trend-spotter` agent — invoke it via `Task` with `subagent_type: linkedin-studio:trend-spotter` (foreground, from this command layer) — to surface trending topics and score their relevance against the user's pillars.
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## Step 2: Plan the Batch (with Scheduling)
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Delegate the batch plan (angle / format / pillar mix across the week) to the `content-planner` agent — invoke it via `Task` with `subagent_type: linkedin-studio:content-planner` (foreground, from this command layer); it audits the existing mix and proposes a balanced set. This command owns scheduling the result.
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Read `${CLAUDE_PLUGIN_ROOT}/references/scheduling-strategy.md` for optimal posting slots.
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Calculate scheduled dates based on `weekly_goal` from state:
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1. Look up the slot template for the user's `weekly_goal` (2x, 3x, 4x, 5x)
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2. Find the next available slot after today (skip dates with existing queue entries)
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3. Assign each post a `scheduled_date` and `scheduled_time`
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Check existing queue to avoid conflicts:
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```bash
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node --input-type=module -e "import { queueUpcoming, queueFormatSummary } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/queue-manager.mjs'; console.log(queueFormatSummary(queueUpcoming(14)));"
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```
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Create a mini-plan for the batch:
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```
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Batch Plan: [Theme/Pillar]
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Posts to create: [3-5]
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Post 1: [Angle] — [Format] — [Day YYYY-MM-DD @ HH:MM]
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Post 2: [Angle] — [Format] — [Day YYYY-MM-DD @ HH:MM]
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Post 3: [Angle] — [Format] — [Day YYYY-MM-DD @ HH:MM]
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[Post 4: optional]
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[Post 5: optional]
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```
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Ensure variety in:
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- **Angles** — Different perspective per post
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- **Formats** — No consecutive same format (standard → carousel → quick → video rotation)
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- **Pillars** — No consecutive same pillar
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- **Content types** — Educational, inspirational, entertaining (70/20/10)
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Get approval before proceeding.
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## Step 3: Create Each Post
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For each post in the batch:
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### 3a. Draft
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Follow the standard structure:
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- Hook: 110-140 characters
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- Context: 250-350 characters
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- Insight: 550-850 characters
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- Implication: 250-350 characters
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- CTA: 50-100 characters
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Sum: 1,210-1,790 characters — inside the standard 1,200–1,800 band checked in 3b.
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### 3b. Quick Quality Check
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- Character count in the band for this post's format (standard 1,200–1,800 · quick 150–500 · carousel/video caption per that format) — not just "in range"
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- Hook works standalone
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- No external links in body
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- No corporate buzzwords
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- Voice matches profile
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### 3c. Save Draft
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Write each post to `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/`:
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- Create directory if needed: `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/week-[WXX]/`
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- Filename: `[day]-[topic-slug].md`
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- Include metadata header:
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```markdown
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---
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planned_date: YYYY-MM-DD
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scheduled_date: YYYY-MM-DD
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scheduled_time: "HH:MM"
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pillar: [expertise area]
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angle: [content angle]
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format: [text/carousel/video]
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status: scheduled
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---
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[Post content]
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```
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### 3d. Add to Queue
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After saving each draft, add it to the queue:
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```bash
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node --input-type=module -e "import { queueAdd } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/queue-manager.mjs'; console.log(queueAdd('[YYYY-WXX-day-topic-slug]', '${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/week-[WXX]/[day]-[topic-slug].md', '[YYYY-MM-DD]', '[HH:MM]', '[pillar]', '[format]', '[hook preview first 50 chars]', [character_count]));"
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```
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This ensures the post appears in `/linkedin:calendar` (both for viewing and for the publish action) and in session-start reminders.
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## Step 4: Review All
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Present a summary of all created posts:
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```
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Batch Summary: [X] posts created
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1. [Day] — "[Hook preview...]" (X chars) — [format]
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2. [Day] — "[Hook preview...]" (X chars) — [format]
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3. [Day] — "[Hook preview...]" (X chars) — [format]
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Saved to: ${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/week-[WXX]/
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Content mix: X educational / Y inspirational / Z entertaining
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Pillars covered: [list]
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```
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Ask if they want to:
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1. Approve all drafts
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2. Revise a specific post
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3. Add another post
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4. Swap an angle
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## Step 5: Finalize
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After approval:
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- Confirm all drafts are saved and queued
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- Update state file with planned topics (note: state updates for batch posts happen at publish time via the `/linkedin:calendar` publish action, not at batch creation)
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- Show queue summary:
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```
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Queue Summary: [X] posts scheduled
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- [Date] [Time]: "[hook preview]" — [pillar] ([format])
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- [Date] [Time]: "[hook preview]" — [pillar] ([format])
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- [Date] [Time]: "[hook preview]" — [pillar] ([format])
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View full schedule + mark as published: /linkedin:calendar
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Remember: Run 5x5x5 engagement 15 min before each post!
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```
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### 5b. Generate Calendar File
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Generate a .ics calendar file so the user can import posting reminders into their calendar app:
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```bash
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node --input-type=module -e "
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import { queueUpcoming } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/queue-manager.mjs';
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import { generateIcalFromQueue, writeIcalFile } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/ical-generator.mjs';
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const upcoming = queueUpcoming(14);
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if (upcoming.length === 0) { console.log('No upcoming posts to schedule.'); process.exit(0); }
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const events = generateIcalFromQueue(upcoming);
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const icsPath = '${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/week-[WXX]/schedule.ics';
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writeIcalFile(icsPath, events);
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console.log('Calendar file: ' + icsPath + ' (' + events.length + ' events)');
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"
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```
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Replace `[WXX]` with the actual ISO week number used for the batch directory.
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Show the user:
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```
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Calendar file generated: ${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/week-[WXX]/schedule.ics
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Import this file into your calendar app:
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- macOS: Double-click the .ics file → Calendar.app imports it
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- Google Calendar: Settings → Import → select .ics file
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- Outlook: File → Open → Import → .ics file
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Each scheduled post has a 15-minute reminder before posting time.
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```
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## Reference Files
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- `${CLAUDE_PLUGIN_ROOT}/references/content-angles.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/engagement-frameworks.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/low-frequency-posting-strategy.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/scheduling-strategy.md`
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- `${CLAUDE_PLUGIN_ROOT}/assets/templates/weekly-content-calendar-2-3x.md`
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- `${CLAUDE_PLUGIN_ROOT}/assets/checklists/quality-scorecard.md`
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- `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/drafts/queue.json`
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