資料には具体的なスキルの内容や手順が記載されていないため、用途や得られる結果を特定できません。
- 用途を確認したいとき
- 入力や手順を確認したいとき
- 期待する結果を確認したいとき
ブランドの基本情報や主張、話し方、ロゴ・配色・書体を確認し、根拠や承認状況とともに記録して、後の制作で参照できるブランド資料にまとめます。
Learn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).
実行スコア 未検証
インストール方法を見るブランドについて既に集められている情報や、ブランドブック、価格表、過去の発信などを確認し、基本情報の不足や食い違いを整理します。商品やサービスについて外部に出せる主張は候補を一つずつ点検し、根拠、対象範囲、条件、見直し日、承認者とともに記録します。調査上「承認済み」とされた内容も、承認者の確認がなければ承認扱いにしません。ブランドの話し方は実際の文章をもとにルール化し、ロゴ、配色、書体も確認します。確認した内容はブランド記録に保存し、未確認の点や保留事項も残して、最後に読み返し用の要約を作ります。
初めてブランド情報を整えるときや、制作のたびに主張や話し方を確認し直しているときに向いています。価格・商品・ブランド表現が変わった際の更新や、クライアント承認を受けた主張の記録にも使えます。顧客調査や、位置づけをゼロから作る作業は対象外です。
GooseWorksへの接続が必要です。主張の承認には承認者本人の言葉による確認が必要で、法的助言は行いません。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
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。
The front door. GooseWorks' server researches the brand and stores the kit; this playbook does what only the owner can: confirm what is true, decide what may be claimed, say how the brand sounds, and record what nobody knows yet. Every other playbook reads what it saves, through ../../../skills/marketing/claims-gate/SKILL.md and ../../../skills/marketing/voice-card/SKILL.md.
Talk to the owner about their brand, never about tools, ids, fields or other playbooks.
Time budget: about 20–30 minutes and 15–20 decisions: basics 5–8 decisions, claims 10–15 minutes, voice 5–8 minutes, kit 2 minutes. What doesn't fit is recorded as "not approved yet", provisional or unknown, never rushed. Under time pressure: basics as one confirm block; claims fall back to product facts and current offers, plus one yes/no on the rewritten value props and description (the ad engine reads them); voice is kept provisional (nothing voice-related is written until confirmed); the kit check moves to the record. Save; the record says where to resume.
gooseworks: tools (after one gooseworks:tools_load for a missing group: brand, media, files, campaigns, automation) → say only: "Connect GooseWorks first — I learn and save your brand through it." Nothing else runs.gooseworks:get_started with the owner's words and wants: "more". Use its answer only to settle setup and which brand; keep any card to one line and continue here.gooseworks:knowledge_search with the old wording, source_types: ["learning", "creative", "document"]; gooseworks:campaign_read).gooseworks:brand_read with no brand lists the brands (note each coworker_agent_id: every file this playbook writes uses that brand coworker scope; no coworker → default workspace with paths prefixed brands/<brand-slug>/, and say so once). Confirm which brand when there are several.research_status "none") is a placeholder: run gooseworks:brand_setup_status first, then follow its next_step, answering its questions from what the owner already said. Setup takes a website or an Apple App Store link; with neither (TestFlight, an Amazon storefront, social profiles only), rename the placeholder with the owner's yes and work from their description, documents, pasted listings and posts. Never create a second brand beside a placeholder.research_ready). The server owns the website read, ad-library presence, review import and the asset kit.Load references/brain-map.md. Read once, in parts (a real DTC brand's full kit is about 70 KB):
gooseworks:brand_read sections: ["kit"], detail: "full", once per run (lean in update and one-claim modes).brand_read sections: ["summary", "products", "onboarding", "accounts", "learnings"] lean (lean returns every must/dont); sources alone when step 2 needs it; product_ids in batches only when the claims audit needs a description.gooseworks:knowledge_search ["claim"] (what the brain calls approved), ["document"] (a brand book), ["evidence"].gooseworks:competitor_read (tracked and view: "suggestions"); gooseworks:media_list scope: "brand" with kind: "logo", then kind: "document".v<N> in brand/records/) and brand/situation.md (the founder's situation from a where-to-start visit; only its "Founder said" lines count as the owner's words, and you confirm them), with gooseworks:file_list / file_read. Never from search snippets.Build a private working ledger: each of the 23 sections in brain-map.md marked given, found or unknown, with its source. An earlier record means update or resume: start the ledger from it.
One message: "Before I ask anything: send any brand book, deck, messaging doc, price sheet or claims evidence you have, and I'll read it first." Files the host can upload: gooseworks:media_upload (scope brand, kind document) → gooseworks:knowledge_import → gooseworks:job_get (kind: "knowledge_ingest", brand_id). A host that can't upload: read the file in the chat and tag what you use [owner's doc: <title>]. A public document URL: knowledge_import with url. Any answer showing a price → stop and ask; website-page and saved-source imports are optional here.
Pre-launch or little copy: ask for 5–10 of the founder's own posts or messages as the voice sample. In the same message, list the brand's own saved sources (sources, relationship self, confirmed: false) and ask whether each is really theirs.
Load references/intake-craft.md. Settle only its "settled here" facts, each as a draft to confirm; everything else goes to the unknowns ledger with when it will be asked. Company-type questions only where they change a claim, an offer or a rule now. Detect the category; if regulated, load references/category-rules.md (skincare with acne actives: ask per product whether it is sold as an OTC drug). Surface every contradiction with both sides, source and date; never pick silently (precedence: owner > owner's documents > owner's earlier rules > site > research). Ask who approves claims and voice: if not the person here, new lines go to a sign-off sheet for the approver (claims already approved stay approved), while facts the person here states are recorded in their words and a claim they say is false is pulled now. Answers the founder already gave in this conversation (goal, budget, dates) go into the record's business facts, not asked again. Track the rivals or alternatives they name with gooseworks:competitor_save (free; never remove one here). Save (step 7).
Run atoms/claims-audit (loads references/claims-craft.md). Every claim-shaped line in the brain is a candidate, wherever it sits; a research label of "approved" is not a sign-off. Triage to the budget: low-risk facts and current offers in one batch; medium in visible groups of 3–5; high-risk one at a time for the five or so with the most reach; every other high-risk line recorded "not approved yet" without asking. Draft the never-say list (law, platform, owner; each with a safe alternative); ask once what must never be said publicly, and until when; say once this is not legal advice. Nothing is approved without the approver's own words. Save (step 7).
Run atoms/voice-calibrate (loads references/voice-craft.md): start from the brain's voice read, the owner's earlier rules and 6–10 real lines, each screened against the claims and never-say lists; triad test, keep-or-kill, then the whole guide on one screen. The owner's explicit yes confirms it; a founder's personal account also gets a voice card (../../../skills/marketing/voice-card/SKILL.md). Save (step 7).
Show the logo (logoConfidence), palette and fonts; flag clashes (kit fonts vs typography). List only what is missing or wrong. Primary and accent colour via gooseworks:brand_update patch.kit; a logo file via gooseworks:media_upload (kind logo); the full palette and real fonts go in the brand record. Product photography gaps: mention, don't fix.
Run atoms/brain-write-back. It writes everything confirmed and not yet written: typed fields, then the Brand record version, then the learnings (claims one per fact, plus the marker), and it reads them back. Report anything that did not save.
Re-read fresh, not from this conversation: brand_read kit lean and learnings, and the Brand record the marker names (file_read). Check one active marker and no retired claim text. Show one screen: what every job will now work from (basics, approved claims, voice in three lines, kit); what is not approved and how to unlock it; the unknowns and when they will be asked; anything not saved. Then answer three probes from the fresh read without asking the owner: (1) a line using a rejected claim — refuse it and give the approved alternative; (2) one generic line rewritten as an ad hook and a support reply in the confirmed voice; (3) the logo, colours and fonts. If a probe needs this conversation, fix the save. Offer once: "Want a monthly reminder to check claims that are about to expire?" On a yes, schedule a paused, list-only sweep (gooseworks:automation_upsert, or the host's scheduler) after stating any credit cost.
The brand brain, through atoms/brain-write-back:
../../../skills/marketing/save-learning/SKILL.md: one Claims you may use — fact per approved claim (offers and policies the brand states in copy included), one Never say — fact per never-say line, Not public —, Banned words —, Policy: for operating rules, and the marker: Claims sign-off (learn-my-brand, <date>, signed-off|pending-client|not-signed, approver: owner|client <name>, voice: confirmed|provisional, record "<title>"). Full detail and proof live in the record.brand/records/<YYYY-MM-DD>-v<N>.md, imported as a brand document): approved claims with variants and proof, the sign-off sheet, not-approved and retired claims, voice status and the full banned list, never-say, business facts, contradiction decisions, palette and fonts, unknowns.Readers: every playbook that writes copy or states facts, through ../../../skills/marketing/claims-gate/SKILL.md (claims) and the kit voice plus ../../../skills/marketing/voice-card/SKILL.md (voice); research-market from the confirmed audience; research-competitors from the tracked rivals; this playbook's own update, resume and sweep modes from the record. Where the server cannot store something yet, the record holds it.
The owner has signed off the claims that matter and the voice (or they are pending client approval with the sheet handed over), everything is saved, and the read-back's three probes are answered from a fresh read without asking anything. The real test: in a fresh session that reads only the brand brain, ten ordinary brand questions come back right without bouncing to the owner, and no unapproved claim appears (tests/test-by-hand.md).
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資料には具体的なスキルの内容や手順が記載されていないため、用途や得られる結果を特定できません。
顧客の課題や商品情報、広告事例を調べ、根拠のある広告訴求と静止画・動画・コピー案にまとめます。動画案は実際の制作フォーマットとの相性も確認し、商品単位の角度集として整理します。
Google、Meta、LinkedInなどの広告実績を分析し、成果の出た広告や予算の無駄を特定します。停止・拡大・テスト案や、具体的な予算配分を提案します。
広告費と登録後の成果を照合し、質の高いリード獲得にかかった実コストを算出します。広告素材ごとに拡大・維持・調査・停止の判断材料を整理するスキルです。
Meta広告を始める前にブランド情報を調べ、予算や広告表現に関わる不明点だけを質問して準備を整えます。確認事項と仮定を記録し、ブランド情報とキャンペーン概要を作成します。
広告文や画像内の表現を配信先と商品カテゴリのルールに照らして確認し、直せる箇所を修正しながら、法務や人の判断が必要なリスクを広告ごとに整理します。