本文へ移動
cccskills
無料GitHub で公開

analyze-performance-intake

Step of the analyze-performance playbook: gathers the week's numbers from tools, exports and pastes, cleans them, and writes the coverage line or switches to claims-only mode. Run analyze-performance instead; not for direct use.

日本語の概要は準備中です。原文の説明を表示しています。

インストール方法を見る

含まれるファイル(2)

  • SKILL.md1.9 KB
  • skill.meta.json413 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Intake, hygiene and coverage (atom)

Load: ../analyze-performance/references/measurement-contract.md.

Inputs: the measurement contract (company type, referee, channel roster); tool reads (meta_read performance, social_analytics_get, ads_creative_read, video_read, campaign_read); the marketer's connectors / exports / screenshots / pastes from the one input message.

Do:

  1. Start from the minimum useful read (contract §4) and tick the rest against the roster; big pasted exports are totalled in code when a code tool exists; with none, never totalled by eye — ask for the summary report and mark the referee not measured until it arrives (contract §4); never echoed. Then: what arrived, what didn't ("not checked this week" — no mid-run asks).
  2. Hygiene: strip test, wholesale, staff orders and subscription renewals from new revenue; net refunds; align timezone and currency; note discount depth.
  3. Maturity: compare this week as first reported with last week as first reported; show last week restated separately. Exports are the week's source; meta_read identifies Goose ads and cross-checks — de-duplicate by ad id. 3b. Save the input summary to reports/performance/inputs/<YYYY-MM-DD>.md for run-paid-campaigns to reuse.
  4. Coverage line: per channel — truth / claimed / not measured / not used; share of Meta spend seen in detail.
  5. The type's referee missing (or no total spend) → claims-only mode (labels, no MER, calls capped at first look, first-line notice).

Output: a clean dataset per channel with labels, the coverage line, and the list of asks for next week.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

コメント

ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。

まだコメントはありません。最初のコメントを書いてみませんか。

送信するとすぐに公開されます。メールアドレスや電話番号などの個人情報は書かないでください。URL は 2 つまでです。

0 / 1000 文字

このフォームは reCAPTCHA で保護されており、Google のプライバシーポリシーと利用規約が適用されます。

同じリポジトリのスキル

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2632026年10月23日 更新

gooseworks-ai のスキルをすべて見る

このスキルの問題を報告する