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Get Started Free →Daily diff of competitor landing pages — pricing changes, hero copy swaps, new features mentioned. Flags meaningful changes only.
.claude/skills/mergisi-competitor-landing-watch/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 121% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 82% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 75% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 27% | 0% |
Daily snapshot + diff of competitor landing pages. Catches pricing changes the same day they happen, new feature claims, hero copy swaps, and quiet pages that go silent. Filters out the noise (deploy hashes, JS asset URLs, copyright year bumps) so you only see signal.
Once a day (default 6am):
<h1>-<h3> headings, hero/sub-hero copy, pricing blocks, feature lists, CTA button text.Scheduled (recommended):
/cron daily "every day at 6am, run /competitor-landing-watch"Manual run on a specific URL:
/competitor-landing-watch https://competitor.com/pricingManual run on the full watchlist:
/competitor-landing-watch --allyamlwatchlist: - name: "Competitor A" urls: - "https://competitora.com" - "https://competitora.com/pricing" - "https://competitora.com/features" - name: "Competitor B" urls: - "https://competitorb.com" - "https://competitorb.com/pricing" delivery: channel: "#competitive-intel" platform: "slack" # or "discord", "telegram", "email" fetch: delay_seconds: 2 user_agent: "CompetitorWatch/1.0 (+contact@yourdomain.com)" respect_robots_txt: true timeout_seconds: 30 diff: importance_threshold: "medium" # send only medium+ changes ignored_patterns: - "Copyright (c) \\d{4}" - "v[0-9]+\\.[0-9]+\\.[0-9]+" - "build-[a-f0-9]{7,}" storage: snapshot_dir: "~/.hermes/skills/competitor-landing-watch/snapshots" retain_days: 90
The classification is pattern-aware but the importance ranking benefits from real reasoning:
🔍 Competitor Landing Watch — 2026-04-30
🚨 Competitor A
Page: /pricing
Change (HIGH): Pro plan price $49 → $59 (+$10, +20%)
Change (HIGH): "Free trial" copy removed; CTA changed to "Book demo"
Likely signal: moving up-market, exiting self-serve. Worth a sales call
to any of your prospects who were comparing against them.
📍 Competitor B
Page: /
Change (MEDIUM): Hero swapped from "AI for everything" to "AI sales
agents that book meetings". Tightened positioning.
Page: /features
Change (LOW, suppressed): minor copy edits across 3 feature blurbs.
✅ Competitor C — no changes today.
✅ Competitor D — no changes today.fetch won't see content. Set fetch.use_browser: true to use a headless Chrome via Playwright — slower and uses more compute.importance_threshold to high or add patterns to ignored_patterns.Pairs well with the closer personality for sales teams who want competitive context attached to outreach. Also pairs with cold-email-personalize — when a competitor changes pricing, that's a hook for outbound to their prospects.
For a full competitive intelligence crew (watch + research + market brief), see crewclaw.com/use-cases/competitor-intelligence.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→fail | 7,200 | 12,127 | +68% | 1 | 1 | 0% | 1,044 | 3,405 | +226% | 0 | 0 | — |
case-01 | fail→fail | 16,520 | 9,272 | -44% | 1 | 1 | 0% | 2,868 | 2,864 | -0% | 0 | 0 | — |
case-03 | fail→pass | 9,084 | 10,867 | +20% | 1 | 1 | 0% | 1,435 | 3,177 | +121% | 0 | 0 | — |
case-04 | fail→pass | 12,628 | 16,777 | +33% | 1 | 1 | 0% | 1,744 | 3,176 | +82% | 0 | 0 | — |
case-05 | fail→fail | 8,404 | 11,096 | +32% | 1 | 1 | 0% | 1,499 | 3,216 | +115% | 0 | 0 | — |
case-06 | fail→pass | 10,346 | 7,244 | -30% | 1 | 1 | 0% | 1,455 | 2,547 | +75% | 0 | 0 | — |
case-07 | fail→pass | 8,359 | 2,813 | -66% | 1 | 1 | 0% | 1,444 | 1,943 | +35% | 0 | 0 | — |
case-18 | fail→pass | 16,342 | 12,767 | -22% | 1 | 1 | 0% | 2,869 | 3,641 | +27% | 0 | 0 | — |
case-08 | pass→pass | 9,064 | 3,689 | -59% | 1 | 1 | 0% | 1,421 | 2,073 | +46% | 0 | 0 | — |
case-09 | fail→pass | 9,668 | 5,100 | -47% | 1 | 1 | 0% | 1,639 | 2,271 | +39% | 0 | 0 | — |
case-10 | pass→pass | 8,779 | 4,238 | -52% | 1 | 1 | 0% | 1,338 | 2,117 | +58% | 0 | 0 | — |
case-11 | fail→pass | 2,400 | 2,736 | +14% | 1 | 1 | 0% | 350 | 1,892 | +441% | 0 | 0 | — |
case-12 | fail→pass | 17,111 | 1,623 | -91% | 1 | 1 | 0% | 1,126 | 1,696 | +51% | 0 | 0 | — |
case-13 | fail→pass | 9,677 | 1,577 | -84% | 1 | 1 | 0% | 1,499 | 1,699 | +13% | 0 | 0 | — |
case-14 | fail→pass | 10,071 | 4,629 | -54% | 1 | 1 | 0% | 1,873 | 2,211 | +18% | 0 | 0 | — |
case-15 | fail→pass | 4,838 | 1,242 | -74% | 1 | 1 | 0% | 807 | 1,595 | +98% | 0 | 0 | — |
case-16 | fail→pass | 14,106 | 12,133 | -14% | 1 | 1 | 0% | 1,419 | 2,800 | +97% | 0 | 0 | — |
case-17 | pass→pass | 15,650 | 13,017 | -17% | 1 | 1 | 0% | 2,893 | 3,526 | +22% | 0 | 0 | — |
case-19 | fail→pass | 8,794 | 4,211 | -52% | 1 | 1 | 0% | 1,358 | 2,108 | +55% | 0 | 0 | — |
case-20 | fail→pass | 13,576 | 3,787 | -72% | 1 | 1 | 0% | 1,186 | 1,824 | +54% | 0 | 0 | — |
case-21 | pass→pass | 21,467 | 2,041 | -90% | 1 | 1 | 0% | 1,992 | 1,731 | -13% | 0 | 0 | — |
case-22 | fail→pass | 8,511 | 2,463 | -71% | 1 | 1 | 0% | 1,409 | 1,788 | +27% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +68 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | +50% |
Other measured skills in the registry, with their headline benchmark lift.