com um clique
flywheel
flywheel contém 6 skills coletadas de Untangling-Systems, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Save session learnings to knowledge stores so future sessions get smarter. Captures positioning insights, copy test outcomes, pitch storyboard results, pricing outcomes, and cross-session patterns. Use after any /fw:position, /fw:copy, /fw:pitch, /fw:monetize, or /fw:grow session, or when returning with real-world results. Supports multi-canvas portfolios via the --canvas flag.
Translate positioning into specific copy artifacts with drift detection. Reads the positioning canvas and produces grounded drafts where every claim traces back. Use after /fw:position has produced a canvas. Supports multi-canvas portfolios via the --canvas flag.
Design growth experiments using Matt Lerner's behavior-first framework. Starts with a specific user behavior, diagnoses the barrier, and produces a testable experiment card. Use after positioning is established to turn positioning into traction. Supports multi-canvas portfolios via the --canvas flag.
Build a sales pitch storyboard using April Dunford's framework from "Sales Pitch". Walks through insight → old game → new game → perfect solution → differentiated value → proof → ask. Use when designing a live sales conversation, founder pitch, or pitch deck narrative grounded in positioning. Supports multi-canvas portfolios via the --canvas flag.
Work through April Dunford's positioning framework in sequence. Produces a positioning canvas that downstream skills (/fw:copy, /fw:grow) read automatically. Use when positioning a product, company, or offer for the first time, or when revisiting positioning after a significant change. Supports multi-canvas portfolios via the --canvas flag and an optional values-fit check via the --values-check flag.
Design pricing and monetization strategy using Madhavan Ramanujam's framework from "Monetizing Innovation". Walks through leaky bucket → WTP signals → segmentation → configuration → model → price points. Reads the positioning canvas and produces an active pricing decision grounded in value chains and segments. Use when pricing a new product, repricing an existing one, or revising pricing after WTP signals from /fw:copy or /fw:pitch sessions. Supports multi-canvas portfolios via the --canvas flag.