stripe-projects
stripe projects
amazon-product-ranking
Invoke for ANY Amazon seller query about organic search ranking or product visibility in Amazon search results. Trigger signals: ASIN (B0...) plus ranking intent, page 1 goals, search position tracking, rank drops or recovery, ranking campaign setup, SFB (search-find-buy) parameters, cost or budg...
Full skill instructions
| Context | Required | What it provides |
|---|---|---|
listingbureau-mcp | Yes | Campaign creation, scheduling, cost, wallet, position tracking |
mcp-server-amazon | No | Enhanced product data scraping (falls back to WebFetch) |
No brand_context needed. This skill works for any Amazon seller.
| Skill | Required? | What it provides | Without it |
|---|---|---|---|
| None | - | - | Fully self-contained |
Detect intent from how the user invokes the skill:
Detection: if the user provides explicit SFB count + profile name, treat as quick-start. If they mention "cost", "estimate", "how much", "price" without "run" or "start" or "execute", treat as cost-only. Otherwise, full flow.
0a. Connection check: Call lb_account_get.
claude mcp add listingbureau -e LB_API_KEY=<key> -- npx -y listingbureau-mcp. Stop.0b. Re-invocation check: If ASIN provided, call lb_projects_list. Check for active projects matching the ASIN. If found, offer choices: check progress, add keyword, adjust volume, or start new campaign.
0c. Collect inputs: ASIN (required), region (default: US), target keyword(s). If user provides ASIN without keywords, run keyword suggestion mode: scrape product page, extract candidates from title/bullets, WebSearch for related terms, present 5-10 suggestions.
Gather product data using 3-tier fallback:
mcp-server-amazon (if installed) for structured product dataamazon.com/dp/{ASIN} to parse title, price, reviews, rating, category, BSRWebSearch {keyword} site:amazon.com to find current organic position.
Output a Product Assessment Card with ASIN, title, price, reviews, rating, category, BSR, current position, and severity-labeled findings:
[CRITICAL] blocks campaign, must fix first[WARNING] can proceed but results may suffer[PASS] meets threshold[INFO] informationalRef: references/a10-algorithm.md for ranking factor context.
Analyze top 10 results for the target keyword. Use WebSearch {keyword} site:amazon.com or Amazon MCP search. Extract review counts, ratings, price range for top 10 organic results. Determine competitive density: LOW / MEDIUM / HIGH / VERY HIGH.
Fallback: ask user to estimate competition level (multiple choice).
Output a Competition Snapshot with top-10 averages, user's position, competitive density, and severity-labeled comparisons.
Ref: references/competitive-assessment.md for volume heuristics.
Check from scraped data or user confirmation:
[CRITICAL if missing][PASS/WARNING][WARNING if >30% above avg][CRITICAL if <5, WARNING if <15]Output a Readiness Checklist. If CRITICAL issues found, recommend fixing before starting campaign. This phase does NOT rewrite copy. Advisory only.
4a. Campaign type based on product age and history:
4b. Region check: If non-US region, adjust to ATC+PGV only strategy (no SFB). Explain the limitation clearly. Ref: references/marketplace-strategies.md.
4c. Seasonality: Ask or infer if the product is seasonal. If yes, assess timing (OPTIMAL / EARLY / LATE). Coaching note, not a blocker.
Output campaign type description with strategy overview.
This is the core engine. Ref: references/funnel-ratios.md, references/ramp-strategies.md, references/category-profiles.md.
5a. Select funnel profile using the decision tree:
Explain WHY this ratio was chosen (1-2 sentences about the funnel logic).
5b. Calculate target volumes from position + competition level using the volume heuristic table. Apply the funnel ratio to get daily ATC and PGV from SFB.
5c. Generate ramp schedule based on campaign type (launch 8-14 days, re-rank 60-90 days, expansion 14-21 days). Add +/-10-15% daily variance for natural appearance.
5d. Multi-keyword: If multiple keywords, create separate plans per keyword. User chooses equal or weighted allocation.
Present full strategy to user. Wait for approval before Phase 6.
Ref: references/cost-and-roi.md.
6a. Cost breakdown: Call lb_estimate_cost with proposed schedule. Calculate gross LB spend, SFB sale proceeds (Amazon payout minus referral fee minus FBA fee minus COGS), and adjusted net campaign cost. Ask user for COGS per unit if not provided (or estimate from category). Include SFB lock warning per references/cost-and-roi.md -- first 5 days of scheduled SFB are non-cancellable once set. Show lock amount as [WARNING].
6b. ROI projection: Estimate monthly organic orders if campaign achieves target position. Use keyword search volume (WebSearch estimate or user input), position-CTR table, category CVR, and product price. Show payback period. Label as estimates.
6c. Budget-first mode: If user specifies a budget, work backward. Present 2-3 options (single keyword full ramp, multi-keyword lighter, longer duration lower volume). Recommend focused single-keyword.
6d. Agency comparison: Only if adjusted net cost < $2,000, show typical agency pricing ($2,000-5,000+) for context.
6e. Wallet check: Call lb_wallet_get_balance. Compare against required spend. If shortfall, offer: top up (call lb_wallet_topup to generate Stripe checkout link), switch to budget-first, or start with fewer keywords.
If cost-only mode: stop here and present the full analysis without executing.
Requires explicit user approval. Show final summary of what will be created, including SFB lock amount (first 5 days non-cancellable).
On approval:
lb_projects_create per keyword (ASIN, keyword, region, expected_retail_price)lb_schedule_set with full per-day ramp schedule for each projectFor multi-keyword: execute sequentially, confirm each.
After execution, show stock-out awareness note: running out of stock at a top position resets ranking and requires 60-90 day recovery.
8a. Monitoring plan: Show checkpoint schedule (day 7, 14 for launch; day 14, 30, 56, 84 for re-rank). Explain taper protocol (reduce 20%/week over 3-4 weeks, never stop cold). Tell user how to check: "Check my ranking campaign" or "show campaign stats".
8b. Progress framing: When user checks stats, call lb_projects_get_stats to retrieve current position and execution data. Frame results contextually:
8c. Troubleshooting: If issues detected, run through the diagnostic tree. Ref: references/troubleshooting.md.
8d. Campaign summary document: Save to {ASIN}-{keyword-slug}-{YYYY-MM-DD}.md in the current working directory. Include ASIN, keywords, type, profile, schedule, costs, ROI, monitoring plan, and baseline position. The user can reference this later or share with partners.
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