SoluDevTech LinkedIn Post Writer
Ship long-form LinkedIn posts using hook formulas that actually performed in 2025-2026 (verified engagement multipliers).
When to use
- User says "write me a LinkedIn post about X"
- User has a topic + a rough angle and needs a hook + structure
- User wants to pick from known-winning formats and fill in their voice
- User wants to audit + schedule in one flow
Formulas this skill can use
| Code | Formula | Reference eng | Best for |
|---|---|---|---|
| F1 | Platform Risk Anaphora | 4,240 | Category/platform posts, product-as-fix |
| F2 | R.I.P. Obituary | 3,822 | Era-ending claims, industry pivots |
| F3 | Year-over-Year Pivot | 494, 3.74x | Identity shifts, founder reflection |
| F4 | Time-Anchor Confession | 1,519+ | Vulnerability, voice reset, ICP re-targeting |
| F5 | Self-Proving Meta | 1,082 / 435 comments | Commitment-based posts, tests in public |
| F6 | Comment-Gate Lead Magnet | 717-3,008 | List building (use sparingly, capped reach) |
| F7 | Odd-Precision Money Ledger | 1,755, 9.4x | Founder build-log, cost breakdowns |
| F8 | Paid-vs-Free Reversal | 550, 19.64x | Free framework give-away |
| F9 | Curiosity-Gap Teaser | 306, 4.25x | Emergent behavior, behind-the-scenes |
| F10 | Contrarian + Historical Receipts | 3,083 | Sacred-cow takes, AI/tech cycles |
Full skeletons in ../../references/hook-formulas.md.
Steps
- Gather inputs. Topic, angle, draft ideas if the user has them, target audience (founders / operators / marketers), desired length (short 300-500 / medium 900-1300 / long 1500-1900 chars).
- Pick the formula. If the user didn't specify, suggest 2-3 formulas that fit the topic and let them pick. Show the reference engagement number next to each.
- Draft the post. Fill the formula skeleton with user voice. Respect the 2026 algorithm rules:
- Hook in first 210 chars (before "… see more")
- 900-1,300 char sweet spot for text posts
- Double line-breaks between ideas, not single
- 0-2 hashtags, placed at end
- No external links in body (move to first comment)
- Humanizer pass. Strip em dashes, AI vocab, rule-of-three, generic openers. Add at least 1 specific number, 1 named entity, 1 first-person concrete detail per 100 words.
- Run audit. Optionally invoke
linkedin-humanizer --mode auditfor algorithm + voice checks before showing to user. - Approval card. Show: formula used, full draft, char count, suggested posting window (Tue/Wed/Thu 7:30-9:00 AM local), reaction targets from likely commenters.
- On approval. Call
lib.publish(kind="post", draft_text=<approved>, target_url="https://www.linkedin.com/post/new/", platforms=[{"platform":"linkedin","platformId":<id>}], scheduled_time=<iso_or_None>, media_urls=<list_or_None>). The wrapper handles Publora / manual / diy routing.
Hard rules (from user feedback)
Global voice rules: see root SKILL.md §Voice rules. Additional skill-specific rules:
- Never frame LinkedIn as inferior in a LinkedIn post (algo penalty).
- Don't name-drop the user's product in a way that reads as self-promo. One mention max, and only when it's the natural conclusion, not the pitch.
- Include at least one moment of real vulnerability or concrete stakes. Pure insight posts don't land in 2026.
- Vary sentence length aggressively. Mix 3-word sentences and 25-word sentences.
Anti-patterns (skill will refuse)
- All-caps first line ("THIS CHANGED EVERYTHING.")
- Em dashes anywhere
- "In today's fast-paced world" openers
- Rule-of-three lists without receipts
- "Game-changer", "deep dive", "leverage", "fundamentally"
- External links in the body
- Reused engagement-bait closers ("tag someone who needs this")
Resources
../../references/hook-formulas.md— all 10 formula skeletons with worked examples../../references/algorithm-heuristics.md— 2026 posting rules (timing, format, length)references/humanizer-checklist.md— the full scrub list
Related skills
linkedin-humanizer— aggressive AI-tell scrubber, plus--mode auditfor pre-publish reviewlinkedin-hook-extractor— reverse-engineer a hook from a viral post you admire