amazon-ads
Skill107 starsChanged 5 months agoMITView on GitHub
Plan and create Amazon Sponsored Products campaigns end-to-end via the Hyper MCP. Use when the user wants to launch Amazon Ads, set up Sponsored Products, manage keyword targeting and bids, configure ASIN or category product targeting, add negative keywords, automate budget rules, analyze ACoS / ROAS, or generate Sponsored Products reports. Also triggers on amazon ppc, amazon campaign, amazon keywords, or amazon report.
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 19
If amazon_ads_profiles_list is not found, the integration to connect is Amazon Ads.
- Distinctive: line 23
Every tool in this skill is named by its canonical tool name.
- Very specific: line 31
If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit.
- Distinctive: line 110
Create campaigns without explicit approval.
- Distinctive: line 113
Add products the user hasn't confirmed.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Amazon Ads
Strategic guide for managing Amazon Ads Sponsored Products campaigns. Research first, validate products, optimize for ACoS targets.
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- Amazon Ads integration connected at https://app.hyperfx.ai/apps.
If amazon_ads_profiles_list is not found, the integration to connect is Amazon Ads.
How to run the tools in this skill
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it |
| Hyper chat | Call the tool by its name; search_tools(queries=["<provider> <action>"]) shows its parameters | <name>(...) |
| MCP client (Claude, Cursor, Codex, ChatGPT) | search("<what you want to do>"), then describe("<name>") | call_read("<name>", {...}), call_write or call_destructive: the one that describe names in call_with |
| Hyper CLI | hyperai search "<what you want to do>", then hyperai describe <name> | hyperai call <name> --json '{...}' |
If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.
Out of scope — defer to other skills
- Creative generation (product imagery, copy) →
ad-creative-generation/image-generation. - Cross-platform campaign launches → use this skill for Amazon, then invoke
meta-ads/google-adsseparately.
Tool surface
| Tool | Purpose |
amazon_ads_profiles_list, amazon_ads_health_check | Profile discovery + integration health. |
amazon_ads_campaigns_list, amazon_ads_campaigns_create, amazon_ads_campaigns_update | Campaign lifecycle. |
amazon_ads_ad_groups_create, amazon_ads_product_ads_create | Ad group + product ad creation. |
amazon_ads_keywords_create, amazon_ads_negative_keywords_create, amazon_ads_campaign_negative_keywords_create | Keyword targeting. |
amazon_ads_product_targets_create, amazon_ads_negative_product_targets_create | Product (ASIN/category) targeting. |
amazon_ads_budget_rules_create, amazon_ads_budget_rules_list | Budget automation. |
amazon_ads_reports_create, amazon_ads_reports_status_get | Performance reporting. |
amazon_ads_bid_recommendations_get | Theme-based bid recommendations. |
Critical Rules
CRITICAL: Keyword, negative keyword, product ad, and product target operations require BOTH
ad_group_idANDcampaign_id. Omittingcampaign_idcauses validation errors.
CRITICAL: Keywords and product targets cannot coexist in the same ad group. Choose one targeting type per ad group.
CRITICAL: AUTO campaigns only allow negative keywords and negative product targets. Positive keywords and product targets are rejected.
CRITICAL: Campaign dates use
YYYY-MM-DDformat. Budget rule dates useYYYYMMDDformat. Do not mix these up.
CRITICAL: Create campaigns with state
"PAUSED". Never launch live without user review.
CRITICAL: Negative product targets only support
ASIN_SAME_ASandASIN_BRAND_SAME_ASexpressions. Category exclusions are not supported.
CRITICAL: All enum values must be UPPERCASE:
PAUSED,ENABLED,BROAD,PHRASE,EXACT,NEGATIVE_EXACT,NEGATIVE_PHRASE,MANUAL,AUTO.
IMPORTANT: Portfolio operations return 404 for vendor accounts. Use campaign-level management instead.
IMPORTANT: Budget rule listing may return empty even after successful creation. Track rule IDs from creation responses.
IMPORTANT: All budgets are in dollars (not cents, not micros). $25 daily budget =
25.
Core process
Discovery → Research (products + keywords) → Strategy (auto vs manual) → Approve Summary → Create (PAUSED) → Add Keywords/Products → Add Negatives → Test (1–3 days) → Optimize → Activate only with user approval.
All reference files live in
references/. Read them atreferences/<file>(e.g.references/discovery.md).
Routing table
| The user wants to… | Read these files first |
| Launch a Sponsored Products campaign | references/discovery.md → references/campaign-creation.md |
| Add keywords / negatives / product targets to an existing campaign | references/campaign-creation.md |
| Automate budgets (schedule or performance rules) | references/budget-rules.md |
| Analyze performance / ACoS / search terms | references/reporting.md |
| Get bid recommendations | references/reporting.md |
| Work across marketplaces (multi-profile) | references/reporting.md |
| Goal not yet clear | references/discovery.md — discovery clarifies the goal |
Campaign Statuses
PAUSED: Created but not live (safe default).ENABLED: Running and spending budget.ARCHIVED: Deleted (cannot be restored).
Known Limitations
| Issue | Workaround |
| Portfolio operations return 404 (vendor) | Use campaign-level grouping + naming conventions. |
| Budget rule listing may return empty | Track rule IDs from creation responses. |
| Category recommendations may fail (500) | Use manual research or dashboard. |
Safety Rules
Never:
- Assume ASINs or keywords — always ask.
- Skip the research/audit phase.
- Create campaigns without explicit approval.
- Set campaigns to ENABLED without user consent.
- Ignore ACoS targets when recommending bids.
- Add products the user hasn't confirmed.
- Mix keywords and product targets in the same ad group.
- Omit
campaign_idfrom keyword/product operations.
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- ferrants/amazon-seller-agent-claude-code★ 8same name
- gavasques/titanos-agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ad-creative-generationSkill
- analytics-insightsSkill
- blog-generationSkill
- brand-contextSkill
- cold-email-outreachSkill
- competitor-intelSkill
- customer-researchSkill
- email-lifecycleSkill
- gmailSkill
- google-adsSkill
- google-sheetsSkill
- hyper-cliSkill
- image-generationSkill
- instagramSkill
- linkedinSkill
- meta-ads-librarySkill
- meta-adsSkill
- openai-adsSkill
- pinterest-adsSkill
- reddit-adsSkill
- redditSkill
- seo-researchSkill
- slackSkill
- snapchat-adsSkill
- tiktok-adsSkill
- tiktokSkill
- twilioSkill
- video-generationSkill
- youtubeSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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