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Design high-conversion LinkedIn workflows tailored for B2B founders using Stealth Hooks, Audience Design, and 'How I' narratives.
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| name | Tommy Clark: LinkedIn Founder Growth |
| description | Design high-conversion LinkedIn workflows tailored for B2B founders using Stealth Hooks, Audience Design, and 'How I' narratives. |
| version | 3.0 |
| format | completion-engine |
| workflows | 6 |
| routing | long-tail |
He treats LinkedIn organic growth as a fully engineered B2B pipeline, rejecting the spray-and-pray approach of traditional content creation in favor of surgical "audience design" combined with an optimized "content interview" asset generation timeline. v3.0 (2026-07-15): expanded with his 2026 strategy — the Three-Moat System (narrative/data/physical — "uncopyable by AI"), Thought Leader Ad lean-in with the edit-post CTA hack, and the narrative relevance filter. Source: "The NEW LinkedIn Strategy Dominating in 2026" (extractions/tommy-clark/transcript-2026-linkedin-strategy.txt + visual-context.md).
| # | Workflow | Produces | Use When |
|---|---|---|---|
| founder | Founder Narrative Extraction System | 5-Post 'How I' Narrative Content Library | When you need to convert raw founder expertise into high-authority content without manual writing or generic AI outputs. |
| high | High-Visibility Growth Engine | Daily LinkedIn Growth & Engagement Playbook | When you need to ensure your content reaches a specific target audience and achieves high click-through rates via psychological triggers. |
| uncopyable | Uncopyable Post Filter | Three-Moat audit + rewrite of any post | Final filter on every 2026-era LinkedIn post — is this narrative-, data-, or physically-moated against AI slop? |
| tla | Thought Leader Ad Engine | Organic-to-paid amplification plan | An organic winner attracted real ICP and you want controlled paid distribution (Apollo list + edit-post CTA + $30/day ramp). |
| # | Workflow | Produces | Use When |
|---|---|---|---|
| data | Data Moat Visualization | Proprietary-data chart post (Carta pattern) | The account has data nobody else can publish and needs an authority lane built on it. |
| physical | Physical Moat Library | IRL capture system + 30-day shot list | The feed is text-only, or IRL spend (events, office, stunts) isn't being converted into social artifacts. |
uncopyable-post-filter × prose_classifier.py — slop-ban catches AI phrasing; the moat filter catches AI substance. Run both on LinkedIn deliverables.uncopyable-post-filter × farrice-engine / ghostwrite / writers-room — three-moat gate before any LinkedIn delivery (Farrice's or clients').thought-leader-ad-engine × liam-linkedin-lead-magnet — organic winner → PS-line lead magnet → boosted to Apollo-built ICP list.data-moat-visualization × dataviz — Antigravity produces the Carta-grade chart itself, not just the spec.physical-moat-library × linkedin-2026-format-arbitrage/contextual-selfie — physical moat = costly signaling; two sources, same mechanism.physical-moat-library × jen-santulan-listing-content — real estate content is born-physical; shoot the operator at the property.8 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/tommy-clark-linkedin-growth/references/prompts-v2/audience-design-architect.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/content-interview-extractor.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/data-moat-post.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/how-i-narrative-pivot.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/physical-moat-shot-list.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/stealth-hook-generator.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/thought-leader-ad-launch.mdskills/tommy-clark-linkedin-growth/references/prompts-v2/uncopyable-post-audit.mdThe /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
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