card-profile-recommendlisted

Analyze a multi-card portfolio — grade each card (MVP / Keep / Consider Dropping), recommend 2–3 new additions with churning strategy, apply issuer rules (Chase 5/24, Amex lifetime bonus, Citi 8/65), and sequence applications to maximize signup bonuses. Covers 11 major US issuers including co-branded hotel and airline cards.
jiahongc/credit-card-skills · ★ 5 · AI & Automation · score 70

Install: claude install-skill jiahongc/credit-card-skills

# Card Profile Recommend Return a graded portfolio audit plus opinionated new-card recommendations with signup bonus strategy, churning paths, and issuer rule checks. ## When To Use When the user wants to know which cards to keep, drop, or add next. Trigger phrases: "card-profile-recommend", "recommend cards", "what cards should I add", "credit card recommendations", "optimize my wallet", "what card should I get next", "improve my card lineup". ## Input Format The user provides a comma-separated list of cards they currently hold: - `card-profile-recommend Chase Sapphire Preferred, Amex Gold, Citi Double Cash` Optional: opening dates per card (inline or separate list): - `card-profile-recommend CSP (Jan 2024), Amex Gold (Mar 2023), Double Cash (2021)` When opening dates are provided, calculate exact 5/24 count and factor into grading decisions. ## Workflow 1. **Parse card list** from comma-separated input. 2. **Resolve each card** — normalize and match to exact variants. If any card is ambiguous, return a numbered choice list for that card and stop. 3. **Search** — use `WebSearch` by default for each card plus any needed gap-category searches. If `BRAVE_API_KEY` is available and `curl` exists, you may use Brave Search API instead, but do not burst requests blindly. 4. **Fetch pages** — for each card, fetch the top issuer URL + 1 secondary (prefer thepointsguy.com). For new-card candidates, fetch up to 2 secondary pages. 5. **Pace any follow-up searches** — if more sea