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Loop Goal Command Templates
DDClaw edited this page Aug 3, 2026
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58 battle-tested
/loopand/goalcommand templates for Amazon, Walmart, TikTok Shop, and cross-platform e-commerce automation. Covers beginner to professional seller stages.
These templates are designed for Claude Code's loop/goal system. Each template is a self-contained instruction that:
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/goal— Runs until a completion condition is met (e.g., "output a ranked list of 10 candidates"). Stops when done or at turn cap. -
/loop— Runs on a recurring schedule (e.g., every 7 days). Continues until canceled.
How to use: Templates use <placeholder> so you can adapt to your own products and categories. Look for the Try This box under high-frequency templates — those are ready-to-run with verified values, no editing needed.
All HPI (Hidden Profit Index) and product discovery commands follow the Sorftime methodology:
- Pull full ranking first — never apply hard thresholds (price/sales/reviews) as input filters
- Exclude only safety risks — the 4-tier risk filter removes genuinely dangerous categories (food, supplements, medical), NOT low-price or low-review products
- Analyze, then flag — after ranking, show the seller what traditional thresholds would have missed
Why: A product at $8.99 with HPI 13.22 and 444 monthly sales is a genuine hidden gem. A
price<$15filter kills it. The tool's job is to rank and reveal — the seller decides.
Example of what NOT to do: potential_product with price $15-45 and monthly_sales >200 — this hard-threshold pre-filter eliminates both the #1 HPI product ($59.99) and the #7 HPI product ($8.99) in the same query. See Exclusive Methodology for the full rationale.
/goal Use sorftime-seller-agent to run blueocean sourcing for keyword "<keyword>"
(Amazon <site>), newbie profile. Output a comparison table: ASIN/Price/Monthly
Sales/Reviews/FBA Fee/Risk Level, minimum 5 candidates. If all are filtered
out by safety mode, auto-retry with 3 synonym keywords and merge results.
stop after 12 turns
/goal Use sorftime-seller-agent to calculate profit for 3 candidate ASINs:
Price <P1>/<P2>/<P3>, Cost <C1>/<C2>/<C3>, Weight <W1>/<W2>/<W3>.
Output comparison: Gross Margin / Breakeven Daily Sales / Net Profit at
3%-5%-10% return rates. Flag which fits <budget> best. stop after 8 turns
/goal Use sorftime-seller-agent to audit ASIN <ASIN> for risk:
Product details (dimensions/weight/FBA fee) + category 4-tier risk filter
+ brand monopoly level. Output "Go / Caution / Skip" with reasoning.
stop after 8 turns
Try This:
/goal Use sorftime-seller-agent to audit B0CVM8TXHP for risk. Product details + category 4-tier risk filter + brand monopoly level. Output Go / Caution / Skip with reasoning. stop after 8 turns
/goal Use sorftime-seller-agent to reverse-lookup keywords for 3 competitor
ASINs: <ASIN1>/<ASIN2>/<ASIN3>. Output shared keywords ranked by search
volume. Identify keywords where they rank top-10 but you have zero presence.
stop after 10 turns
/goal Use sorftime-seller-agent to explore category <category name> on
Amazon <site>: category tree → subcategory report → top 20 products
with price/reviews/sales. Output category overview with entry feasibility
rating. stop after 10 turns
/goal Use sorftime-seller-agent to pull 1-3 star reviews for ASIN <ASIN>
(last 100 reviews). Cluster complaints by keyword frequency. Output top 5
pain points with occurrence count and whether each is fixable via product
improvement. stop after 8 turns
/goal Use sorftime-seller-agent to audit listing quality for ASIN <ASIN>:
keyword coverage analysis (title/bullets/search terms), image count,
A+ content status, review sentiment trends. Output improvement checklist
ordered by ROI. stop after 8 turns
/loop 7d Use sorftime-seller-agent to run Hidden Profit Index TOP20 for keywords
"<kw1>/<kw2>/<kw3>". Compare with last week's results. Highlight top 3
products with the fastest-rising index. Write to this week's candidate pool.
Try This:
/loop 7d Run Hidden Profit Index TOP20 for yoga mat, resistance bands, and pilates bar on Amazon US. Compare with last week. Flag top 3 fastest-rising products. stop after 10 turns
/goal Use sorftime-seller-agent to deep-dive 5 competitor ASINs: <list>.
For each: product_detail + traffic_terms + keyword reverse-lookup +
review analysis. Output competitive threat matrix with threat score
(1-10). stop after 15 turns
/goal Use sorftime-seller-agent to analyze brand concentration in category
<nodeId> on Amazon <site>. Output: top 10 brands by market share,
Amazon Basics penetration, brand monopoly fragility index, recommended
entry strategy. stop after 10 turns
/goal Use sorftime-seller-agent to build keyword strategy for ASIN <ASIN>:
traffic_terms → filter by search volume >500 → competitor_product_keywords
for top 3 competitors → identify coverage gaps → recommend 10 priority
keywords with search volume/CPC/difficulty. stop after 12 turns
/goal Use sorftime-seller-agent to analyze seasonal opportunity for keyword
"<keyword>": category_trend for past 24 months → identify peak months →
calculate seasonal burst index → output optimal launch timeline (90/60/30
days before peak). stop after 10 turns
/goal Use sorftime-seller-agent to analyze price band distribution in category
<nodeId>: demand density per $5 band → competitor density per band →
price band opportunity index. Recommend optimal pricing sweet spot.
stop after 10 turns
/goal Use sorftime-seller-agent to audit FBA fees for ASIN <ASIN>:
current dimensional tier → check if product falls near a tier boundary →
calculate savings from packaging optimization → compare FBA vs FBM
unit economics. stop after 8 turns
/goal Use sorftime-seller-agent to analyze search term report for ASIN <ASIN>:
keyword_extends for top converting terms → filter by CPC <$0.50 and
search volume >200 → output 15 new keyword targets for ad campaigns.
stop after 10 turns
/loop 3d Use sorftime-seller-agent to check inventory for watchlist ASINs:
product_detail for each → calculate days of inventory remaining →
flag any ASIN with <30 days cover → output restocking priority list.
stop after 8 turns per run
/loop 1d Use sorftime-seller-agent to check prices for competitor ASINs:
<list>. Compare with yesterday's prices. Flag any change >5%.
Output alert table with old price/new price/change %.
stop after 8 turns per run
/loop 7d Use sorftime-seller-agent to analyze recent reviews for ASIN <ASIN>:
compare sentiment distribution (positive/neutral/negative) vs previous
week. Flag if negative sentiment increased >10%. Output trend chart
with key complaint themes. stop after 8 turns
/loop 7d Use sorftime-seller-agent to scan cross-platform price gaps for
keyword "<keyword>": Amazon product_search → Walmart product_detail
for matching products → calculate price gap % → flag gaps >15% →
output arbitrage opportunity table. stop after 12 turns
Try This:
/loop 7d Scan cross-platform price gaps for yoga mat on Amazon US vs Walmart US. Flag products where Amazon price exceeds Walmart price by >15%. Output arbitrage opportunity table. stop after 12 turns
/goal Use sorftime-seller-agent to run blueocean sourcing for keyword
"<keyword>" on Walmart US: category_report → filter by reviews <200
AND monthly sales >300 AND price $15-40 → output top 10 candidates
with WFS eligibility. stop after 12 turns
/loop 7d Use sorftime-seller-agent to scan TikTok Shop trending products
in category <category>: tiktok_category_report → cross-reference
with Amazon product_search → identify products with high TikTok
engagement but low Amazon competition. Output early-signal table.
stop after 12 turns
/goal Use sorftime-seller-agent to assess Shopee <country> market entry
for product category <category>: shopee_category_request → analyze
price distribution, seller density, cross-border seller presence →
output feasibility score (1-10) with key barriers. stop after 12 turns
/goal Use sorftime-seller-agent to validate sourcing costs for 5 products
on Amazon: for each ASIN → ali1688_similar_product to find supplier
prices → calculate landed cost → compare with FBA all-in cost →
output margin analysis table ranked by ROI. stop after 15 turns
/goal Use sorftime-seller-agent to recommend inventory split for product
"<product>" across platforms: Amazon/Walmart/TikTok Shop sales velocity
→ FBA/WFS capacity → calculate optimal allocation by platform →
output split recommendation with rationale. stop after 10 turns
/loop 14d Use sorftime-seller-agent to scan Temu category <category>:
temu_product_search → compare price floor with Amazon/Walmart →
identify categories where Temu presence is accelerating → output
competitive threat assessment. stop after 10 turns
/loop 7d Use sorftime-seller-agent to generate weekly dashboard for all
tracked ASINs: sales trend / price changes / review changes / BSR
movement / keyword ranking shifts. Highlight top 3 risks and top 3
opportunities. stop after 15 turns
/loop 30d Use sorftime-seller-agent to run potential_product on Amazon US
with NO search_name and NO filters — full-market scan, ranked by
potential_index only. Pull TOP50.
Cross-reference against 4-tier risk filter: flag any products in
hard-blocked categories (food/supplements/medical/etc.) as EXCLUDED.
For remaining TOP30: analyze price distribution, category clusters,
review count patterns, seller geography.
Then answer: "Which of these TOP20 would common hard thresholds
(reviews<100, price<$15, rating<4.2) have eliminated?"
Compare with previous month: flag new entries and exits.
stop after 12 turns
Try This:
/loop 30d Run full-market Hidden Profit Index scan on Amazon US — no search_name, no filters, ranked by potential_index only. Pull TOP50. Exclude food/supplements/medical. For TOP30: analyze price bands, category clusters, review patterns. Flag what hard thresholds would miss. Compare with last month. stop after 12 turns
/goal Run HPI cross-mining for category <category name> on Amazon US:
1. potential_product(search_name="<keyword>", NO price/sales/review filters)
→ get TOP15 by potential_index ONLY
2. Cross-reference against 4-tier risk filter:
- 🚫 Hard-blocked categories → EXCLUDE
- ⚠️ Capital-intensive / trap signals → FLAG but keep
3. For remaining products: pull product_detail for each (price, FBA fee,
review_count, BSR, subcategory, brand, delivery_type)
4. Calculate Composite Treasure Score = potential_index ×
monthly_sales_volume / (review_count + 1)
5. Output TOP10 ranked by Composite Treasure Score with full detail table
6. FOR EVERY TOP10 PRODUCT, answer: "Would this product survive these
common hard thresholds?" — reviews≥100? price≥$15? rating≥4.2?
monthly_sales≥200? If ANY answer is NO, flag: "⚠️ MISSED BY
HARD THRESHOLDS — invisible to traditional filtering tools."
stop after 15 turns
Try This:
/goal Run HPI cross-mining for kitchen storage on Amazon US. Full-rank by potential_index — no price/sales filters. Exclude hard-blocked categories. For TOP10: pull product_detail, calculate Opportunity Score (potential × sales / reviews). Output investment briefs: opportunity, numbers, risks, next step. stop after 15 turns
/goal Use sorftime-seller-agent to produce a verified HPI shortlist
for kitchen storage on Amazon US:
Step 1: potential_product(search_name="kitchen storage", NO filters) → TOP15
Step 2: Remove food/supplements/medical. Remove rating <3.8.
Step 3: For TOP8: product_detail → price, FBA fee, reviews, sales, brand
Step 4: Calculate Estimated Margin = (price - price×0.30 - FBA_fee) / price
Calculate Review Barrier = sales / (reviews + 1)
Composite Score = potential_index × Review Barrier
Step 5: Remove products with margin <20%.
Step 6: For TOP3: product_reviews(star="10", page_size=15) → check for
broke/broken/defective/dangerous/fire/injury/rust/leak
Step 7: Output verified shortlist table + "Here's how to verify manually"
stop after 18 turns
Verified output (2026-08-03): 8 of 8 passed screening. HERJOY Under Sink Organizer $59.99 / 1,872 sales / 90 reviews / 51.9% margin / Score 275.6. HKJ Chef Containers $30.99 / 945 / 92 / 36.4%. Yecuip Can Organizer $32.99 / 709 / 80 / 41.3%. Full results
Try This: Copy the command above. Replace "kitchen storage" with your category. Run. Get a verified shortlist with margin estimates and red-flag screening in under 30 seconds.
/loop 3d Use sorftime-seller-agent to scan new products for keyword
"<keyword>" on Amazon US. Pull ALL products with online_date within
180 days — NO sales or review filters. Calculate burst index for each:
(monthly_sales_volume × sales_growth_rate) / (review_count + 1).
Rank by burst index descending. Output TOP10 with full detail.
Then flag: "Which of these would be missed by a filter of
reviews≥50 AND monthly_sales≥100?" — highlight those as early signals.
stop after 10 turns
/goal Complete batch product research for ASIN list <file>:
1. sf-batch.py ProductRequest --input-file asins.txt --domain 1
2. sf-batch.py AsinSalesVolume for top 20 by sales
3. Cross-reference with category benchmarks
Output structured research report. stop after 15 turns
/goal Deploy keyword monitoring for keywords <list> on Amazon <site>:
KeywordBatchSubscription for each keyword → verify tasks created →
output monitoring dashboard URL and alert thresholds.
stop after 10 turns
/goal Run cross-platform comparison for keyword "<keyword>":
Amazon product_search → Walmart product_search → Shopee product_search
→ merge by product name similarity → calculate price gaps → output
opportunity table. stop after 15 turns
/loop 7d Generate category trend report for nodeId <id> on domain <N>:
CategoryTrend with indices "0,3,6" → sf-trend.py merge → output
trend visualization and key changes from last week.
stop after 8 turns
/goal Scan FBM products in category <nodeId> for FBA conversion opportunities:
ProductSearch with shippingType=FBM and monthly sales >100 → for each,
calculate FBA fee estimate → compare FBM vs FBA unit economics →
output ranked conversion opportunity list. stop after 12 turns
/loop 1d Check sorftime-seller-agent account health: CoinQuery →
RequestStreamMonth → verify MCP connectivity → alert if coin balance
<100 or request quota <500. stop after 5 turns
/loop 7d Run sorftime-seller-agent schema health check: tests/auto_sync.py
→ if schema outdated by >7 days, trigger sync → verify tool count →
notify if new tools were added. stop after 8 turns
/loop 14d Review ~/.sorftime-cache/unsupported-requests.log → cluster by
request type → output top 5 most common unsupported requests →
suggest alternative approaches or feature requests. stop after 8 turns
- Copy the template you need
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Replace
<placeholders>with your actual values:-
<keyword>— search keyword (e.g., "yoga mat") -
<ASIN>— Amazon ASIN (e.g., "B08N5WRWNW") -
<site>— marketplace (US, UK, DE, JP, etc.) -
<nodeId>— category node ID -
<N>— numeric values (budget, price, threshold)
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Run in Claude Code with
/goalor/loopprefix -
Monitor —
/goalruns until condition met or turn cap;/loopruns on schedule
- Adjust
stop after N turnsto control max runtime (lower = faster completion, higher = more thorough) - Change
/loopfrequencies:1d(daily),3d(every 3 days),7d(weekly),14d(biweekly),30d(monthly) - Add
--profile <name>to target specific seller risk profiles (newbie/grower/pro/factory/brand) - Combine multiple goals into a pipeline: output of one goal becomes input for the next
- Getting Started — Install and configure sorftime-seller-agent
- Loop Engineering — Understanding loop/goal engineering concepts
- Use Cases — 14 real-world use cases with step-by-step workflows
- Exclusive Methodology — Hidden Profit Index and proprietary ranking methods
- 🆕 Closed-Loop Selection ← Full pipeline
- 📖 Case Study: Water Bottle ← Real data example
- Loop & Goal Templates ← 58 automation recipes