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
競合の広告や商品、価格、発信内容を調べ、変化や比較材料をまとめます。次の施策を考えるためのレポートや営業用資料も作成します。
Competitor research: what every main rival is running, launching, charging and saying now, what works for them, and what that means for you. Use when the marketer asks for competitor research or a teardown, "what ads are my competitors running", "how do they price", "find gaps and angles", "what changed this week" (a weekly watch), or "X just launched / shut down / cut prices" (react now). Also builds a sales battlecard, checks a competitor page's tools/pixels, or studies who engages with their LinkedIn posts. Delivers a readable report saved to the brand, so the next run reports what changed. Never copies their words or disparages them. Not for what people say about you or your market — use research-market; not for who your buyers are — use research-audience.
実行スコア 未検証
インストール方法を見る競合各社が何を売り、どんな広告や発信を行い、価格や製品をどう変えているかを調査して、次に取る施策が分かるレポートにまとめます。競合の選定理由や市場での比較軸を示し、広告ライブラリ、ニュース、製品ページ、投稿などを確認します。価格や訴求の違い、最近の動き、活用できそうな切り口を整理し、営業向けのバトルカード、競合ページで使われるツールの確認、LinkedIn投稿の反応分析にも対応します。過去の記録をもとに、前回からの変化もまとめます。
競合調査や広告の比較をしたいとき、価格設定や新製品の動きを把握したいときに向いています。競合の言葉や映像をそのまま流用せず、確認できた情報に基づいて判断材料を作ります。
調査にはmarketing-guideなど関連スキルが必要です。無料で確認できる情報を先に調べ、有料調査の追加は対象と見積もりを示して承認を求めます。競合への連絡や、広告の制作・公開は行いません。
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。
Competitor research tells the marketer what to do next; it is not a list of ads. Craft: references/research-spec.md; worker briefs: its step skills (research-competitors-<step>); the report: references/report-format.md — next to this file.
The rule that matters most: free pass first, ask nothing, report once (../marketing-guide/research-pattern.md (in the marketing-guide skill) — read it before the first search). For a full teardown, research every dimension for every main rival, browser-only sources included, before the first message; never ask permission for free work or offer to pay for what a free read could get. An ask that names an area ("what ads are they running?") gets that area covered completely, news and launches first.
marketing-guide skill (../marketing-guide/SKILL.md) §1–2 (connect, brand, brain read) before anything else; the job line is "I research your competitors and save what I find through it." Here: a named brand not in the account → create it from its website (gooseworks:brand_setup_create) without asking and wait for its research (gooseworks:job_get); don't show a menu unrelated to research. Fallback brand read: gooseworks:brand_read (summary, kit, products, competitors, organic, learnings). Either path: gooseworks:competitor_read (+ suggestions), gooseworks:automation_list; workspace: research/competitors/ (last report, rival records), research/market/ (the newest market report and its "which market" decision), research/audience/ (buyer-groups.md and the latest audience report), plans/, reports/performance/. Brand facts: brain first, website second. Claims: only the read step of the claims-gate skill (../claims-gate/SKILL.md) now.references/focused-outputs.md after setup, then return. Reuse saved evidence; these branches replace the full teardown below.competitor research or competitor watch; what this job hands the atom is in references/run-memory.md. Its "since last time" opens the chat and the report's story.Find the field yourself, before any worker starts. About 6–10 searches by the main run: news for our brand and the category (last 90 days), then "best <category>", "<brand> alternatives", "<the strongest saved rival> alternatives", "<category> tools", and one AI answer. The saved roster is a starting list, never the answer. State the frame of reference in one line — the category we compete in (research-market's decision when it exists) and the other frames we could claim (e.g. "AI ad-creative tool" vs "AI agents for go-to-market teams"), because the frame decides which rivals matter. Then choose 3–6 main rivals — the ones buyers compare us with now, each with its reason — and 2–4 adjacent options (doing it yourself, an agency, the platforms' own tools). If the frame or the main rivals differ from the last run's, say so in one line with the reason ("Last run compared us with Jasper and Copy.ai; this run with Creatify, because…") — the frame never swings silently. A name you'd only watch goes in the brief competition line, not as a main rival. Anything from the last 30 days is a candidate timely opening.
Brief the workers — lean. Exactly one subagent per main rival with the research-competitors-rival-pass skill (../research-competitors-rival-pass/SKILL.md) (a new entrant you'd call closest to our buyer, or hitting us harder than a main rival, counts as a main rival — it gets its own worker, never just a name), one with the research-competitors-category-pass skill (../research-competitors-category-pass/SKILL.md), one with rival-pass on our own brand — no more, no workflow on top. Paste the short brief's full text with brand_id, our product summary, approved claims, the frame, a typical-buyer scenario for pricing ("a 10-person team making 40 ads a month"), the off-limits list and today's date; workers don't load skills or start their own subagents. Standard depth is the brief's cap (about 12 searches and 12 fetches each); a deep teardown — quarterly, or when the marketer asks — doubles it. A cheaper model is fine. Workers use web search, page fetch and the free server reads, and return everything, including the pages that need the browser. Edge cases — no browser, a stalled or stopped worker, facts from earlier research, a bad rival on the list, a report already saved today, a late read — follow the research-competitors-edge-cases skill (../research-competitors-edge-cases/SKILL.md).
Open the browser-only sources yourself, before the report. Workers often can't. For every main rival and for us: the Meta, LinkedIn, Google and TikTok ad libraries, searched by the advertiser's page or name (not the domain), plus the pages workers listed (X and LinkedIn posts, script-only pricing pages, review pages that block fetch). Tell the marketer once, in one line, first.
Go deep on what moved. For the 1–2 biggest launches, watch the demo and the 3 best third-party posts (references/rival-craft.md §5) and break each into hook, setup, reveal, proof, CTA; write a format brief per demo. Counter-position only if the leverage test passes — we are the challenger here, we genuinely do the same job better, we have dated proof, and our answer can reach enough of the rival's buyers to matter; then draft the counter-position kit (references/angles-and-gaps.md "Launches"). Otherwise it goes under "What we're not doing": not every launch needs an answer. For each timely opening, draft the move (spec §4) with an end date.
Write the story in the shape of references/report-format.md, formats and angles from references/angles-and-gaps.md. A new entrant that surfaces only now (from the category pass) and is closest to our buyer gets a short rival pass before the report (the research-competitors-rival-pass skill (../research-competitors-rival-pass/SKILL.md) items 1, 4, 5, 6, 7) — never a profile-less "closest rival". Check every number, date, quote and "no ads found" against what a worker or the browser returned; drop what you can't trace.
Check, then deliver. Run the check in references/report-format.md, then deliver through the write-report skill (../write-report/SKILL.md) (topic competitor-research; brand copy research/competitors/<YYYY-MM-DD>-report.md, keep-history). Also save, in the shapes in references/report-format.md, each rival record, landscape.md and angle-bank.md (supersede) through the save-to-brain skill (../save-to-brain/SKILL.md), and swipe items to the inspiration library (gooseworks:social_inspiration_save).
Save the run — before the closing message. The End steps of the run-memory skill (../run-memory/SKILL.md), with the numbers and recommendations in references/run-memory.md. When the marketer answers a decision afterwards, re-save the same day's record with it (references/run-memory.md).
One message: the draft and the decisions, in the closing-message shape in references/report-format.md, with the one-line "saved this run's notes" folded in (at most five one-line decisions): the one thing to do first and the link; which openings to act on · the rivals covered (add or drop any?) · sign-off for the claims the top moves need · a paid top-up only for what free reads and the browser couldn't get, named, with the estimate and one yes to "up to N credits" (the spend-gate skill (../spend-gate/SKILL.md) branch B) · a repeat, only if it would help this brand (marketing-guide §3 Schedules; a quiet field: quarterly, or none), saying that scheduled runs have no browser, so ad libraries are read only in runs you start (references/watch-and-react.md). Optional, one line each: tracking new rivals (gooseworks:competitor_save), keeping the top angles as rules (the save-learning skill, ../save-learning/SKILL.md).
Watch and react (references/watch-and-react.md, same dimensions). What changed (on ask, or the scheduled repeat): opens with what changed against the stored numbers and each rival's snapshot; a report only when something crosses a threshold, a run record every time. React now ("X just launched / shut down"): verify, read the market's reaction, alert this turn with the window, the move and a draft brief.
Paths and readers: the research-competitors rows of the marketing-guide's §4 table. Each file's title, tags and save mode: references/report-format.md; what-changed reports: references/watch-and-react.md; focused outputs: references/focused-outputs.md.
Focused outputs use their branch's completion check (references/focused-outputs.md). For a full teardown:
Making the ads (make-static-ads; video ads: the goose-video skill) · budgets and channel bets (plan-campaign) · what people say about our brand and the market (research-market) · our own search visibility (improve-search-visibility) · finished positioning and messages (research-market).
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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。