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amazon-ads

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更新日2026年7月2日 07:16

Amazon Sponsored Products / Sponsored Brands / Sponsored Display ads + Coupons on Seller Central / advertising console. ONE catalog covering BOTH mechanics (URLs, click paths, modal patterns, kat-* component gotchas, field input ranges) AND workflows (tuning existing campaigns, weekly review, search-term harvest, ACOS improvement). Load this skill BEFORE any browser-use action that creates, edits, captures, archives, or downloads campaigns / ad-groups / keywords / product targets / coupons on amazon.<tld> or advertising.amazon.<tld>. The catalog below points to topical references — load whichever ones the task needs. Defaults to last 30 days for tuning analysis but accepts any user-specified window.

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zpoint

zpoint/vibe-seller

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関連職種SOC

SOC 職業分類に基づく

市場調査アナリスト・マーケティングスペシャリストビジネス・金融業務職·SOC 13-1161

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SKILL.md

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name	amazon-ads
description	Amazon Sponsored Products / Sponsored Brands / Sponsored Display ads + Coupons on Seller Central / advertising console. ONE catalog covering BOTH mechanics (URLs, click paths, modal patterns, kat-* component gotchas, field input ranges) AND workflows (tuning existing campaigns, weekly review, search-term harvest, ACOS improvement). Load this skill BEFORE any browser-use action that creates, edits, captures, archives, or downloads campaigns / ad-groups / keywords / product targets / coupons on amazon.<tld> or advertising.amazon.<tld>. The catalog below points to topical references — load whichever ones the task needs. Defaults to last 30 days for tuning analysis but accepts any user-specified window.
allowed-tools	Bash(browser-use:*)
requires	["amazon-shared"]
gates	["ad_completeness_review","ad_negation_allowlist","ad_execution_fidelity"]

Amazon Ads — Catalog

PREREQUISITE: Read ../amazon-shared/SKILL.md for marketplace TLD map, hamburger-menu navigation, sign-in / Ziniao / OTP handling, and the ad-console vs seller-central account caveat.

This skill is a catalog. The actual content lives in topical references in references/. Load whichever ones apply to the task.

What this skill produces

For tuning / audit tasks ("review the ads", "improve ACOS", "audit"): one Markdown report (AD_AUDIT_<YYYY-MM-DD>.md) + two TSVs per active campaign (stores/<slug>/ads/<platform>/<country>/<id>.tsv targets + <id>.searchterms.tsv full customer-query set). Every campaign is drilled in TWO layers on the same date window — targets AND search terms — proven by a 搜索词对账 reconciliation line the server reviewer parses.

START HERE — do NOT pre-read every reference (it buries the model and causes shortcutting). Just two files, then run:

output-spec.md — the report contract (what "done" looks like).
audit-quickref.md — the entire procedure on one page. Load a heavy reference only when a step there tells you to.

Then write the report and call vibe_seller_set_task_result("./AD_AUDIT_<date>.md"). The server's completeness reviewer replies with a short "what's still missing" list (under-drilled countries + bid-rule violations) and converges over rounds — partial is accepted each round, just fix the top gaps and re-submit until it returns nothing. No separate reviewer subagent or Stop-hook needed.

Workflow references — the "what to do" thinking

Reference	Load when
`output-spec.md`	Read first for every audit. The report contract the server completeness reviewer checks against — per-(platform,country) 进度 line, header table, per-campaign drills, the 4 bid rules, TSV-per-campaign.
`audit-quickref.md`	The procedure, one page. Run this top-to-bottom; it points to heavy refs on demand.
`format-anchor.md`	Legacy detail. Per-campaign table column shape; load only if you need the exact table layout. (The mandatory subagent reviewer-loop is superseded by the server completeness reviewer — partial is accepted, it lists gaps each round.)
`reviewer-loop.md`	Phase-4 execution review only (`EXEC_REVIEW_*`, Stop-hook enforced). For audit reports its Phase-3 format loop is superseded by the server completeness reviewer — don't spawn a review subagent for amazon/noon audits.
`tuning-workflow.md`	User asks to tune ads, improve ACOS, "review last month's ads", harvest search terms, lower bids on losers, weekly ad review, "why is X campaign burning money", or any ongoing-campaign refinement task.
`tuning-campaign-types.md`	A campaign isn't SP-Manual-Keyword. The skill defaults to SP-Manual-Keyword; for SP-Auto / SP-Manual-Product / Sponsored Brands / Sponsored Brands Video / Sponsored Display, this reference has the per-type sidebar tabs, Targeting-tab columns, and lever-applicability matrix observed on a live merchant account. Pair with `tuning-workflow.md` Phase 3 — that phase branches on type.
`tuning-thresholds.md`	Need to derive per-store thresholds (breakeven ACOS = margin %, target ACOS = 0.7 × breakeven, protect-zone, waste/harvest cutoffs). Always heuristic, never hardcoded.
`tuning-toolbox.md`	Picking the right lever — 8 levers + 2 advanced (dayparting, structural splits) disabled by default. Ordered surgical-first (search-term negate / harvest, per-keyword bid trim) → blanket-last (bidding strategy, pause campaign). For which levers apply per type, see `tuning-campaign-types.md`.
`tuning-funnel-diagnosis.md`	Distinguishing listing-side problems (low CTR = image / title; low CVR = PDP / price / reviews) from ad-side problems (ACOS) before reaching for a bid lever. Bad CTR is not an ad-tuning problem.
`tuning-recommendation-format.md`	Composing the per-campaign output table at the end of a tuning session — header table → per-campaign data → per-problem subsections with per-entity data tables. Targeting-first, placement-second. Data table shape varies by type — see `tuning-campaign-types.md`.
`tuning-history.md`	The per-campaign TSV under git that records every observed state (bid, status, suggested range, recent metrics) across audits. Read at Phase 2 to diff scrape against record (catches OBSERVED_DRIFT); read at Phase 3 for recency check before recommending changes (< 7 days since last change → downgrade to Hold); written at Phase 4 after each verified apply (cause-and-effect ledger). One TSV per campaign, written via `vibe_seller_write_workspace_file`; the workspace auto-commits.

Mechanics reference — the "how to click" lookup

Reference Load when

bulk-operations.md DEFAULT for creating a campaign or applying bids across keywords/campaigns. Export → edit with scripts/ads_bulk.py → import → verify. Locale-general (positional 52-col schema, template-cloned headers) and guards the ASIN-as-SKU trap in code. The click paths below are the fallback — a single tweak, a field with no bulk column, or two failed imports.

mechanics.md Any time you're about to issue a browser-use call against Amazon Ads or Coupons. Sections: § 0 preconditions, § 1 URLs, § 2 reading existing campaigns, § 3 creating a new campaign, § 4 bulk download / upload, § 5 coupons, § 6 wedged-daemon recovery, § 7 per-store conventions, § 8 reading playbook for tuning (Bid Adjustments date-range alignment rule, Search terms tab, bidding-strategy edit, daily-budget edit), § 9 scope. §3 (UI create) and §4a0 (ag-Grid edits) are the fallback to bulk-operations.md.

Safety rails

Never auto-execute any tuning change. Output is always a recommendations table; the user confirms each row before any click that modifies state.
Derive thresholds from this store's data, not from absolute numbers. Computed, not hardcoded.
Verify the lever before recommending it. Every numeric recommendation specifies field's current value, proposed value, valid range, direction. Never recommend a value the field will reject (e.g. negative placement modifiers — Amazon SP only allows 0% to +900%, increase-only).
Don't kill the goose. Order-driving keywords / campaigns get tagged PROTECT regardless of ACOS. Surface, never auto-cut.
Per-run captures → /tmp/<run-slug>/ (per amazon-shared § 5).

Default analysis window

Last 30 days by default. The user may override with any window ("last 14 days", "March 1 – March 31", "year to date", custom calendar dates). When set, pin the same window across every page in the session — campaign top-tile, ad-group list, Bid Adjustments, Search terms, Targeting. Each of those pages has its own independent date picker; defaults drift. Misaligned dates cause the per-placement breakdown to not sum to the campaign top-tile and lead to wrong recommendations.

What this skill is NOT

Not for new-campaign creation as a workflow → that's the separate new-product-launch skill (which uses this skill's mechanics reference for click paths).
Not for non-Amazon marketplaces — different platforms have different UI / mechanics; document those in their own skills.
Sponsored Brands tuning is partially verified (campaign + ad-group + Targeting tab observed; Bid adjustments tab present with "New" badge but cell semantics not yet drilled). Sponsored Brands Video and Sponsored Display are listed-only — the per-type playbook in tuning-campaign-types.md calls out which rows are verified vs inferred. For inferred-only types, mark Confidence accordingly and bias to conservative reversible actions.