---
name: Platform Arbitrage Audit
slug: platform-arbitrage-audit
category: SEO
description: Platform Arbitrage Audit audits major social platforms for genuinely new features and structural openings that competitors cannot easily copy. Use it for live web research on platform recency, audience fit, and authenticity or technical barriers.
github: "https://github.com/acogood/diffmode_free/tree/main/plugin/skills/platform-arbitrage"
language: Python
stars: 161
forks: 0
install: "npx degit https://github.com/acogood/diffmode_free/tree/main/plugin/skills/platform-arbitrage ~/.claude/skills/platform-arbitrage"
installs_to: ~/.claude/skills/platform-arbitrage
source_path: plugin/skills/platform-arbitrage/SKILL.md
collection_size: 13
category_size: 199
collection_url: "https://dirskills.com/collections/acogood/diffmode_free"
added: 2026-09-08T05:36:26.708Z
last_synced: 2026-09-08T05:36:26.708Z
canonical_url: "https://dirskills.com/skills/platform-arbitrage-audit"
---

# Platform Arbitrage Audit

Platform Arbitrage Audit audits major social platforms for genuinely new features and structural openings that competitors cannot easily copy. Use it for live web research on platform recency, audience fit, and authenticity or technical barriers.

**Install:**

```bash
npx degit https://github.com/acogood/diffmode_free/tree/main/plugin/skills/platform-arbitrage ~/.claude/skills/platform-arbitrage
```

## README

# Think-Tank — Platform Arbitrage Audit (TT-DG-003)

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.

## Inputs & Output

The invoker provides these (do not hardcode absolute paths):

- **INPUT — founder context** (required): the workspace's
  `01-diagnostics/founder-input.md`. Read this FIRST.
- **INPUT — audience & JTBD** (required): `02-enrichment/audience-jtbd.md` — use to judge
  audience fit for each platform/feature.
- **INPUT — channel taxonomy** (required): the bundled channel menu at
  `${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md`.
- **OUTPUT**: `03-think-tanks/demand-generation/platform-arbitrage.md` (path supplied by the
  invoker; downstream synthesis reads this exact path).

If a file is inaccessible, note the missing data and proceed.

## Invocation — REQUIRES web research

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."

## Scope (CRITICAL)

✅ 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.)

## Temporal definitions (the recency gate)

| 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.

## Procedure

**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:
- **NEW FEATURE FOUND** — feature name, verified launch date, source URL, age (months),
  arbitrage assessment (High/Moderate/Low), audience fit (Yes/No + reasoning).
- **NO NEW FEATURES** — last checked [date]; most recent feature was [name] launched [date];
  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.
- **Tier 1 — Authentic community platforms** (corporate brands get rejected; requires 3-6
  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.
- **Tier 2 — Technical-complexity barriers** (specialized skills competitors won't invest
  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 features with NO
structural barrier. Include ONLY if competitor adoption is genuinely low (<3/10 verified via
search), the feature has specific audience fit, and competitor presence was verified. Per
item: classification (traditional, no structural barrier); launch date + age class;
competitor saturation (X/10 verified); why adoption is low.

**Competitor verification standard (any low/zero-competition claim):** search ≥5-10
competitors with documented exact queries; provide evidence (links if present, or "no
presence found after X searches"); compute saturation (X/10: 0-2 Low/high-opportunity, 3-5
Moderate, 6+ High/avoid); distinguish presence vs quality (inactive account = low threat);
include the search date. Undocumented "zero competition" claims are INVALID.

## Output language

Body copy follows `${CLAUDE_PLUGIN_ROOT}/reference/writing-style.md` (the invoker may
also pass it as an input): plain English a busy founder reads fast — grade 6–8, short
sentences, the banned-jargon table respected (say "early window" or "opening" in prose,
not "arbitrage"). The template's required section headings stay exactly as written.

## Output template

Write to the supplied output path.

```markdown
# Platform Arbitrage Audit Report
**Generated:** [YYYY-MM-DD] · **Audit scope:** 9 major platforms (new features + structural)

## Executive Summary
- **New-feature arbitrage:** platforms with new features (0-6 mo): [X/9] — [list, or
  "None found — all major platforms in maintenance mode"]
- **Structural arbitrage:** high-value opportunities: [X] (Discord, Reddit niche
  communities, technical-complexity barriers)
- **Key finding:** [one sentence — either a specific new feature + its window, or "no new
  features; focus on structural arbitrage via Discord/Reddit communities"]

## Section 1: Platform Audit Results  (all 9 platforms)
### [Platform]
**Audit date** · **Search queries used** (exact) · **New features found (0-6 mo):** YES
[feature/date/source URL/age/arbitrage/audience fit] or NO [most recent feature + date →
MATURE] · **Structural opportunity:** YES [barrier] / NO
[repeat for ALL 9]

## Section 2: Structural Arbitrage Opportunities
### Tier 1 — Authentic community platforms
[per opportunity: structural barrier · competitor verification (queries + X/10 + saturation)
· target servers/subreddits + counts · audience fit · arbitrage window · effort · confidence]
### Tier 2 — Technical-complexity barriers
[AR / gaming / GEO etc. — barrier = the specialized skill/learning curve]

## Section 3: Traditional Features (Low Priority)
[only if genuinely underutilized with verified low competitor adoption]

## Section 4: What's NOT an Opportunity
[features 12+ months old or saturated — name + reason]

## Research Limitations
1. Platform landscapes change rapidly — verify before execution.
2. "No new features" reflects the audit date — re-check monthly.
3. Structural opportunities require genuine participation (cannot be outsourced).
```

## Validation (self-check before returning)

- [ ] All 9 platforms audited with explicit findings (none skipped).
- [ ] "No new features" reported honestly when true.
- [ ] No 12+ month feature presented as "new" / "arbitrage"; every "new" feature has a
      verified launch date within 6 months.
- [ ] Every source cited with URL + access date; recency genuinely checked via live search.
- [ ] Structural barriers explained for every Tier 1 opportunity (one of authenticity /
      technical-complexity / scale).
- [ ] Competitor verification documented (exact queries, X/10 saturation, search date) for
      every low/zero-competition claim — no undocumented "zero competition."
- [ ] Audience fit judged against `audience-jtbd.md`; grounded in THIS product.
- [ ] Scope respected: NO #1/#2 ranking, NO recommendations, NO timelines.
- [ ] Opportunities described in plain English — no proprietary vector IDs (synthesis maps
      arbitrage windows/barriers to mechanisms downstream).