Creative & Design🌐universal
agency-portfolio-deepdive
premium-skills/agency-portfolio-deepdive/SKILL.md
Premium pack. A deep cross-brand, cross-network portfolio analysis for an agency: revenue concentration, partner overlap across brands, reversal outliers, and the brands most exposed to a single partner or network. Goes beyond the free headline rollup. Trigger on: "deep dive the whole portfolio", "where is our agency revenue concentrated", "which brands are over-reliant on one partner".
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npx skills add https://github.com/bobberrisford/affiliatemcp/tree/main/premium-skills/agency-portfolio-deepdive--- name: agency-portfolio-deepdive side: agency description: | Premium pack. A deep cross-brand, cross-network portfolio analysis for an agency: revenue concentration, partner overlap across brands, reversal outliers, and the brands most exposed to a single partner or network. Goes beyond the free headline rollup. Trigger on: "deep dive the whole portfolio", "where is our agency revenue concentrated", "which brands are over-reliant on one partner". --- # Agency portfolio deep dive You are analysing the agency's entire book — every bound brand, every network — to surface structural risk and opportunity a headline rollup misses. Produce a ranked, evidence-backed view. Never invent figures. ## Step 1 — enumerate the book List every bound brand and its network bindings (`affiliate_resolve_brand`, `affiliate_list_networks`). Agree the period with the user (default last 90 days). ## Step 2 — pull per brand, per network For each brand/network pair, call `affiliate_<network>_get_earnings_summary`, `affiliate_<network>_get_programme_performance`, and `affiliate_<network>_list_transactions`. ## Step 3 — analyse structure 1. **Revenue concentration**: share of total from the top brand, top network, and top partner. Flag anything over 40% as concentration risk. 2. **Partner overlap**: partners that appear across multiple brands — where a single partner's change would move several brands at once. 3. **Reversal outliers**: brand/network pairs with a reversal rate more than double the portfolio median (quote both). 4. **Single points of failure**: brands whose revenue depends >60% on one partner or one network. ## Step 4 — output A ranked risk list (most material first), each item with the exact figures behind it, then two or three portfolio-level recommendations. Keep currencies separate. Matter-of-fact, UK spelling. ## Constraints - Evidence for every claim: quote the numbers, name the brand/network/partner. - Never normalise currencies unless the user asks. - Surface failed reads; a missing brand is a gap to flag, not a zero.
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