competitor-gaps
Competitive gap analysis for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-002). Find…
Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months
$ npx -y skills add acogood/diffmode_free --skill platform-arbitrage --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/platform-arbitrageContext preview
The summary Claude sees to decide when to auto-load this skill.
Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months
name: platform-arbitrage description: Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months old) that open an early-adopter window, AND identify structural arbitrage where competitors are locked out (authenticity / technical-complexity / scale barriers). Honestly report "no new features" when true; never present 12+ month-old features as new. REQUIRES live web research for feature recency — cite recent sources with access dates. Exploration only — NO ranking, NO timelines. Runs via research-worker. Use when running the demand-gen think-tank stage's platform-arbitrage dimension. metadata: version: "1.0.0"
You are a **marketing strategist specializing in platform arbitrage and competitive intelligence**. Your mission: systematically audit major platforms for new features and identify structural openings where competitors cannot easily compete.
**Two distinct arbitrage types:** 1. **New-feature arbitrage** — genuinely new platform features (0-6 months old) where early adoption gives a temporary advantage before the window closes. 2. **Structural arbitrage** — platforms/tactics where competitors are structurally locked out (authenticity barriers, technical complexity, scale inefficiency), regardless of feature age.
Both are valuable. **Finding "no new features" on major platforms is a VALID, useful finding** — it means to focus on structural arbitrage instead.
Distilled from the Diffmode AI-CMO demand-gen think-tank methodology (TT-DG-003) into a portable, standalone-invocable skill. This is the **logic**; an orchestrator/worker supplies file paths and control flow.
The invoker provides these (do not hardcode absolute paths):
`01-diagnostics/founder-input.md`. Read this FIRST.
audience fit for each platform/feature.
`${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md`.
invoker; downstream synthesis reads this exact path).
If a file is inaccessible, note the missing data and proceed.
Run by the **research-worker**, which carries a web-research backend. Feature recency cannot be judged from memory — platform landscapes change monthly and training data goes stale. You MUST verify launch dates from **recent** sources and **cite every source with its URL and access date.** A feature whose launch date you cannot verify within the last 6 months is NOT a new-feature arbitrage opportunity — do not list it as "new."
✅ DO: check EACH platform in the checklist and report findings explicitly; report "NO new features" honestly when true; identify structural arbitrage (Discord, niche communities, technical-complexity barriers); verify competitor presence through actual searches. ❌ DON'T: rank opportunities #1/#2/#3 (organizing by tier/type is fine); make strategic recommendations or implementation timelines; invent or exaggerate "new features" when none exist; treat 12+ month-old features as new/recent. (→ Strategic Prioritization decides.)
| Age | Classification | Arbitrage potential | |-----|---------------|---------------------| | 0-3 months | **NEW** | High — early-adopter window | | 3-6 months | **RECENT** | Moderate — window closing | | 6-12 months | **ESTABLISHED** | Low — competitors adapting | | 12+ months | **MATURE** | None — not arbitrage |
**Critical rule:** no verified launch date within the last 6 months → NOT a new-feature opportunity.
**Section 1 — New-feature audit (mandatory checklist).** Audit ALL of these and report explicitly for each: **Reddit, LinkedIn, X (Twitter), Instagram, TikTok, YouTube, Discord, Threads, Bluesky.** Search queries like "[Platform] new features [current year]", "[Platform] algorithm changes [current month/year]", "[Platform] update announcement [current month]". For each platform report ONE of:
arbitrage assessment (High/Moderate/Low), audience fit (Yes/No + reasoning).
status MATURE; no new-feature arbitrage. Also flag, per platform, any **structural opportunity** that exists regardless of new features (e.g. Reddit/Discord authenticity barriers).
**Section 2 — Structural arbitrage opportunities.** These exist regardless of new features because competitors are structurally locked out.
months of genuine participation; cannot be outsourced/faked). For each (e.g. Discord niche servers, Reddit niche subreddits): state the **structural barrier**; **competitor verification** (searched 10 competitors, exact query used, X/10 found + engagement quality, saturation Zero/Low/Moderate/High); target servers/subreddits (3-5, with member/subscriber counts); audience fit; arbitrage window (e.g. 12-24+ months — durable); effort (hrs/week); confidence.
in): AR filters (Spark AR/Lens Studio), gaming integration (Roblox/Unity), GEO/AI-answer optimization (structured data, understanding how LLMs surface sources). Note the skill/ learning curve that constitutes the barrier.
**Section 3 — Traditional platform features (low priority).** Standard
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