configs/skills/ads-amazon/SKILL.md
Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS/TACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.
npx skillsauth add shenxingy/claude-code-kit ads-amazonInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Amazon owns ~80% of US retail media (~$56B in 2025). This sub-skill audits
the three Sponsored ad types plus basic DSP visibility for sellers and
vendors. Detailed Amazon DSP audit (programmatic / Twitch / Fire TV / Freevee
/ Prime Video) is queued for Wave 3 in ads-retail-media.
Note: This is a leaf sub-skill. The thresholds and rules below live inline. In Wave 3, once
ads-walmartships and theads-retail-mediaorchestrator extracts the shared retail-media logic, a dedicatedretail-media-specs.mdreference file will replace these inline rules (planned, not yet created — do not link to it from other files).
ads/references/benchmarks.md for Amazon-specific benchmarksads/references/scoring-system.md for weighted scoringSP_Brand_Exact_USD_Conv / SB_NonBrand_HSA_Video_USD_Cons)Up and Down for Manual Exact converting
campaigns; Down Only for Auto campaigns or Sponsored Display contextual
(avoid bid escalation in learning campaigns)| Metric | Pass | Warning | Fail | |--------|------|---------|------| | ACOS (vs target) | Within ±10% of target | 10-25% over | >25% over | | TACOS trend (90d) | Decreasing | Flat | Increasing | | Auto / Manual mix | Both active per ASIN | Only Manual or only Auto | Single campaign / ASIN | | Negative keywords on Auto | Manual ASIN keywords added | Some missing | None | | Search term harvest cadence | Weekly | Monthly | Ad-hoc | | Branded campaign ACOS | <5% | 5-15% | >15% | | Dynamic bidding strategy | Up-and-Down on converters, Down-Only on learners | Mixed inconsistently | All campaigns same strategy | | Sponsored Brands video tested | Active on top 10 ASINs | Active on 1-3 ASINs | Not tested | | Brand Analytics accessed | Weekly | Monthly | Never |
Amazon Ads Health Score: XX/100 (Grade: X)
Campaign Structure: XX/100 ████████░░ (15%)
Search-Term Harvesting: XX/100 ██████████ (25%)
ACOS / TACOS Discipline:XX/100 █████████░ (20%)
Bid & Budget Mgmt: XX/100 ████████░░ (15%)
Sponsored Brands: XX/100 ███████░░░ (10%)
Sponsored Display: XX/100 ███████░░░ (10%)
Brand Analytics: XX/100 █████░░░░░ (5%)
AMAZON-ADS-REPORT.md: Full per-category findingsdevelopment
Orchestrate a fleet of parallel `codex exec` workers with you (Claude Code) as the supervisor — spawn one per isolated git worktree, dispatch headless, verify each INDEPENDENTLY, PR/merge. The manual "codex-ultracode" pattern for fanning out real implementation, research, or review work onto Codex. Bakes in the hard gotchas (stdin blocking, background tracking, don't-trust-self-reports, writer isolation). Triggers on — orchestrate codex, codex workers, codex fleet, spawn codex, delegate to codex in parallel, manual ultracode, 开 codex 小弟, 派 codex worker — NOT for a single cross-vendor opinion (use the `second-opinion-codex` agent), NOT for web-UI worker decomposition (use `/orchestrate`).
development
Create and manage git worktrees for parallel Codex sessions
development
Verify project behavior anchors — compilation, tests, and interaction checks after autonomous runs. NOT the Codex built-in /verify (which runs the app to observe a single change working) — this one walks the AGENTS.md "Features (Behavior Anchors)" list.
documentation
End-of-session documentation sync — updates TODO.md and PROGRESS.md only (run /commit after to commit everything)