売上や集客の動向、顧客の声、競合の変化を関連付け、週次のマーケティング報告を1ページにまとめます。今週取り組む施策を、根拠と影響の大きさで整理します。
- 週次の売上と集客動向の確認
- 顧客の声と成長実績を結び付けたいとき
- 競合の重要な変化の定点観測
4,570 件 ・ 関連度順
概要と使いどころ
売上や集客の動向、顧客の声、競合の変化を関連付け、週次のマーケティング報告を1ページにまとめます。今週取り組む施策を、根拠と影響の大きさで整理します。
会計・決済データやCSVから30・60・90日先の資金繰りを予測し、入金時期のばらつきや給与支払いの不足リスクを、要約とExcelブックにまとめます。
顧客との商談前に、参加者、取引履歴、過去の会話、進行中の案件を整理し、根拠付きの事前資料と確認すべき質問、持参物をまとめるスキル。
Draft blog posts, social media, email newsletters, landing pages, press releases, and case studies with channel-specific formatting and SEO recommendations. Use when writing any marketing content, when you need headline or subject line options, or when adapting a message for a specific platform, audience, and brand voice.
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。
サービス障害の深刻度と影響範囲を整理し、状況報告や対応の時系列を記録します。復旧後は原因分析と担当者付きの再発防止策をまとめます。
Clean up local git branches and remotes accumulated from PR reviews. Use when the user asks to clean branches, remove stale remotes, or tidy up the local git state.
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。
Update docs/CHANGELOG.md from git history, GitHub releases, and code diffs. Use when: writing release notes, syncing the latest changelog entry, summarizing a new tag, or keeping changelog wording concise and consistent.
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。
Conduct a thorough pre-implementation discussion before making significant changes. Use when the user wants to discuss, plan, or evaluate a change before implementing it — especially when they say words like 'discuss', 'evaluate', 'plan', or 'let's talk about'.
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。
Maintain the supported LLM model list: add a new model, or run routine maintenance to verify availability and discover new models worth adding. Use when the user asks to add/support a model, update the model list, or check model availability.
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。
Create a branch, commit existing local changes, push them, and open a pull request. Use when submitting current work as a PR.
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。
Authoring playbook for building agents that draft written content — blog posts, marketing copy, social media posts, newsletters, product descriptions, landing pages, or ad copy. Use this when the user wants an agent that writes, drafts, or rewrites text for publication or marketing.
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。
How to build Mastra frontend interfaces with the @mastra/playground-ui design system. This skill should be used when creating or modifying any application UI — pages, components, styling, or tokens — in this repo or in an external consumer of the design system. The docs site has its own styling and is out of scope.
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。
Convert existing docs diagram images to Mermaid, and author new Mermaid diagrams for Mastra docs. Use when replacing an Excalidraw or PNG/JPG/SVG diagram with Mermaid, when a docs page needs a new diagram, when a diagram renders wrong in light or dark mode, or when auditing which docs images should become Mermaid. Triggers on: convert diagram, Excalidraw, mermaid, flowchart, diagram image, diagram styling, diagram looks wrong.
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。
Use when creating an approachable, self-contained HTML review aid for a pull request; explaining what changed, why it matters, how it works, and how it fits into the broader system; turning PR diffs, commits, tests, and architecture context into a local `.pr-review/` HTML page for reviewers; or helping reviewers understand complex code changes without dumping the full diff.
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。
Audit the repository's docs/ content against the current codebase, find missing, incorrect, or stale documentation, and refresh the affected pages. Use when the user asks to review docs coverage, find outdated docs, compare docs with the current repo, or fix documentation drift across features, settings, tools, or integrations.
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。
Create or update reusable Dynamic Workflow JavaScript files under .qwen/workflows. Use when the user asks to create, save, edit, or reuse a Dynamic Workflow, including requests started from the Web Shell Workflows page.
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。
Generate Playwright tests. Use when user says "write tests", "generate tests", "add tests for", "test this component", "e2e test", "create test for", "test this page", or "test this feature".
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。
Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.
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。
Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook for marketing teams (claim discipline, disclosure rules, human-review gates). Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe — or when the user mentions 'prompt engineering,' 'improve my prompts,' 'prompt templates,' 'prompt versioning,' 'AI content workflow,' or 'AI governance for marketing.'
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。
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
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。
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
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。
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences. Use when designing or optimizing a cancel flow, building save offers, setting up dunning emails, or reducing failed-payment churn. Trigger keywords: cancel flow, churn reduction, save offers, dunning, exit survey, payment recovery, win-back, involuntary churn, failed payments, cancel page. NOT for customer health scoring or expansion revenue — use customer-success-manager for that.
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。
Full content production pipeline — takes a topic from blank page to published-ready piece. Use when you need to execute content: write a blog post, article, or guide end-to-end. Triggers: 'write a post about', 'draft an article', 'create content for', 'help me write', 'I need a blog post'. NOT for content strategy or calendar planning (use content-strategy). NOT for repurposing existing content (use content-repurposing). NOT for social captions only.
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。
Use when a user wants to convert any markdown file in their Claude project into a single-file, lightly-interactive HTML — long-form documents (specs, plans, RFCs, reports, explainers), code reviews with diffs and severity-tagged annotations, or slide decks. Triggers on "convert this markdown to HTML", "make this an HTML file", "turn this into an interactive document", "render this report as HTML", "PR writeup as HTML", "slides from this markdown". Forks context to route to one of three converter sub-skills (md-document, md-review, md-slides) based on a deterministic doctype classifier, after the user has run the design-system onboarding once. Refuses if input is under 100 lines (per Shihipar — markdown still wins below the threshold) or design-system isn't onboarded. Distinct from Anthropic's official Playground plugin (which is interactive prompt-tuning controls with sliders/knobs/prompt-copy-back) and from marketing/landing/ (which is a landing-page generator).
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。