Linkedin post skill

LinkedIn post writer (Chan Meng / Caldera brand)

Write English LinkedIn posts that build Chan Meng's personal brand and expand her network, then draft them straight into the LinkedIn composer for one-click review. You never click Post — Chan reviews and publishes.

When to use

• "Write a LinkedIn post about <idea>" → idea mode.
• "I went to <event>, write a recap" / "post-event reflection" → recap mode.

Reference docs (read the ones you need)

• references/brand.md — colors, fonts, logo, voice do/don'ts, imagery direction.
• references/voice-and-structure.md — post anatomy + mechanics (read every run).
• references/hashtag-bank.md — curated hashtag sets + rules.
• references/recap-playbook.md — recap research, verification, @mention mechanics.
• examples/post.txt + examples/diagram.mmd — a real reference idea post + its diagram.

Workflow

Step 0 — Pick mode & gather inputs

• Mode from the /linkedin-post <idea|recap> arg, else infer, else ask once.
• Idea: the thought/angle, target audience, any proof points (repos, numbers, links).
• Recap: event name/date/city/link, the people and orgs to credit, and Chan's 1–2 genuine takeaways. Don't block on completeness — gather what she has.

Step 1 — (Recap only) Research & verify mentions

Follow references/recap-playbook.md:

• WebSearch + claude-in-chrome to confirm exact name spelling, current title, employer, and the LinkedIn profile/company URL for each person/org Chan named.
• Write output/<YYYY-MM-DD>-<slug>/MENTIONS.md (the role/name/title/URL/tag-yes table).
• Never invent a profile. Unverified names → plain text only, flagged in MENTIONS.md.

Step 2 — Draft the copy

• Follow the anatomy in references/voice-and-structure.md and the voice rules in references/brand.md: strong hook, emoji-led structure, mental-shift/takeaway, CTA question, then 8–12 hashtags (idea) or 6–10 (recap) from references/hashtag-bank.md.
• Architecture-grade vocabulary, evidence-first, no marketing fluff. English only.
• Plain text (LinkedIn renders no markdown); blank line between beats; emoji as bullets.
• Show Chan the draft and iterate before generating the visual or opening the browser.

Step 3 — Choose & generate ONE visual

Write assets into the same output folder. Visual priority (Chan's stated preference): (1) Mermaid diagram → (2) HTML-rendered image (card or bespoke) → (3) OpenAI image only as a last resort. Default idea posts to a Mermaid diagram; reach for HTML to craft more beautiful bespoke visuals. Ask Chan only if genuinely unsure.

a) Brand Mermaid diagram — PREFERRED (frameworks, before/after, concept maps — great for idea posts):

1. Write the diagram to output/<date>-<slug>/diagram.mmd. Do NOT add a --- config --- frontmatter block (the brand config is applied via the CLI). Use the brand classDefs for accents:

   classDef accent  fill:#FC5000,stroke:#070607,color:#fff;   %% the ONE orange block
   classDef ink     fill:#070607,stroke:#070607,color:#fff;
   classDef glare   fill:#F5F28E,stroke:#070607,color:#070607;
   classDef surface fill:#F7F6F2,stroke:#070607,color:#070607; %% default-ish
   

   Keep one orange accent per diagram (brand rule). Un-classed nodes already render on-brand.
2. Render: node scripts/render-mermaid.mjs output/<date>-<slug>/diagram.mmd → produces diagram.png on a basalt background at 2× scale.

b) HTML-rendered image — PREFERRED for richer visuals. Two ways:

b1) Quick branded card (quotes, theses, recap "field-note" cards):

node scripts/render-card.mjs output/<date>-<slug>/card.png \
  --eyebrow "EVENT RECAP" \
  --headline "<short punchy line — the thesis or a quote>" \
  --sub "<one-line context / attribution>" \
  --size square            # or: landscape

Headline auto-fits; keep it short (a quote or thesis), not a paragraph.

b2) Bespoke HTML — author a custom on-brand layout when the card is too plain. Write an HTML file that links the brand CSS and wraps content in a .stage element, then screenshot it:

<!-- output/<date>-<slug>/visual.html -->
<link rel="stylesheet" href="../../templates/brand.css">   <!-- ../ depth: output/<slug>/ → repo root -->
<div class="stage square"> …your Caldera layout using --orange/--ink, .display, .rule, blocks… </div>

node scripts/render-html.mjs output/<date>-<slug>/visual.html output/<date>-<slug>/visual.png --selector ".stage"

templates/brand.css gives tokens + helpers (.stage, .eyebrow, .display, .rule, .block/.px, .card, logo at templates/assets/chan-monkey-logo-black.svg). Honor the brand: basalt ground, one orange accent per unit, Anton display + DM Sans body, flat (no shadows/gradients). Use templates/post-card.html as a worked reference.

c) OpenAI image — FALLBACK ONLY (use when neither a diagram nor an HTML layout fits):

node scripts/gen-image.mjs "<prompt>" output/<date>-<slug>/image.png --size landscape

Prompt from references/brand.md → Imagery direction (risograph halftone, orange→violet, flat, abstract — NO portraits of Chan, no stock scenes). Exit code 2 = no key; tell Chan how to set it (.env.local) and fall back to a Mermaid/HTML visual.

d) Plain text — some posts need no visual. Skip this step.

Show Chan the rendered asset (Read the PNG) and confirm before drafting into LinkedIn.

Step 4 — Draft into the LinkedIn composer (claude-in-chrome)

Load the browser tools, then:

1. tabs_context_mcp to see current tabs; create a new tab and navigate to https://www.linkedin.com/feed/. If not logged in, ask Chan to log in, then continue.
2. Open the post composer ("Start a post").
3. Type the copy from post.txt into the editor.
4. Resolve @mentions (recap): for each verified person/company in MENTIONS.md, type @ + name, wait for the dropdown, and click the matching entry so the tag turns into a real linked chip. Verify each chip is linked. Only tag verified entries.
5. Attach the visual: try find/read_page for an <input type="file"> ref and use file_upload. Known limitation (LinkedIn web): the composer injects no usable file input into the accessibility tree, and clicking the photo icon opens a native OS file picker you must NOT drive (it can block the session). So by default, hand the image attach to Chan: tell her the exact PNG path and ask her to click the photo icon and select it. Don't risk the native dialog.
6. STOP. Do not click Post. Tell Chan the draft + the visual path, and ask her to attach the image (if not done) and publish.

Browser note: this environment auto-resizes the window between actions, which can close the composer. Type the full post (body + hashtags) in ONE type call, screenshot once to confirm, and avoid extra round-trips while the modal is open.

Optional: record the composer steps with gif_creator if Chan wants a replay. Caution: avoid clicking anything that triggers a browser dialog (see global browser guidance).

Step 5 — Final output

Leave the folder output/<YYYY-MM-DD>-<slug>/ containing:

• post.txt — the final copy (copy-paste-ready fallback).
• the visual (diagram.mmd+diagram.png, card.png, or image.png).
• MENTIONS.md — recap only.

Setup / dependencies (already installed in this repo)

• npm install done (playwright + openai + mermaid-cli local); npx playwright install chromium done.
• OpenAI image needs a key: copy .env.example → .env and set OPENAI_API_KEY. Without it, image mode falls back to Mermaid/card — everything else works.
• mmdc reuses the existing puppeteer-config.json; the brand theme lives in templates/mermaid-brand-config.json + templates/mermaid-brand.css.

Guardrails

• English only; on-brand voice; one orange accent per visual.
• Never auto-publish; always stop at the staged draft for Chan's review.
• Never invent a person's identity/handle; verify before tagging (recap-playbook.md).
• Keep generated work in output/ (gitignored); never write drafts to the repo root.