linkedin-growth-systemlisted

# LinkedIn Growth System Build durable authority, qualified demand, and a learning loop. Optimize for relevance and trust before reach. ## Operating Principles - Anchor every decision to a defined audience, business outcome, and credible proof. - Separate sourced fact, practitioner judgment, hypothesis, and unknown. - Prefer account-specific evidence over universal benchmarks or algorithm folklore. - Design a system the author can sustain. Consistency means a repeatable quality bar, not maximum volume. - Keep publishing and engagement human-controlled. Never prescribe scraping, spam, fake accounts, or mass messaging automation. Assisted engagement is the user's explicit, labeled choice. ## Choose a Mode - **Diagnostic:** audit an existing profile, content library, funnel, and measurement system. - **Focused:** solve one stage of the loop and preserve relevant upstream constraints. - **Full system:** build the complete operating model and a 30- or 90-day execution sprint. State the selected mode and any consequential assumptions before proceeding. ## Route the Work Use the matching specialist when installed; otherwise execute the phase using the contract below: 1. `linkedin-audience-researcher`: extract problems, language, triggers, objections, and evidence gaps. 2. `linkedin-positioning-architect`: define the audience promise, point of view, proof, profile, and signature ideas. 3. `linkedin-content-strategist`: connect pillars, series, formats, cadence, and metrics t