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概要と使いどころ
Use when running the final pre-submission preflight for the American Economic Journal: Microeconomics (AEJ: Micro) via the AEA submission system — single-blind review, the 100-word abstract, JEL classification, the submission fee, format, and the AEA Data and Code Availability Policy. Final checks; it does not draft content.
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 drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter requirements (abstract <= 250 words, Highlights, graphical abstract). Research papers run to about 8,000 words (no hard cap). Tightens prose and format; it does not invent content.
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 as the entry point for any Agricultural Systems (AgSy) manuscript. Routes to the right AgSy sub-skill based on where you are in the lifecycle and which article type (research paper, short communication, perspective, comment, review) fits. AgSy is a systems-science journal, so the router's first job is to confirm there is a real systems question — interactions, hierarchical levels, trade-offs — not a single-factor field trial. It dispatches; it does not draft content.
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 running the final pre-submission preflight for Agricultural Systems (AgSy) via the current Elsevier submission path / Editorial Manager — article-type selection, abstract <= 250 words, Highlights, graphical abstract, CRediT and declaration-of-interest statements, funding/AI disclosures, reference style, and data/code/model availability. Final checks; it does not draft content.
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 to understand how Agricultural Systems (AgSy) evaluates a manuscript — single-anonymized peer review with a minimum of two reviewers and an editor decision, desk screening for fit and systems content, what reviewers weigh, and the rapid-review track for Perspectives. Sets expectations and shapes the paper to survive review; it does not contact editors.
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 running the final pre-submission preflight for American Economic Review: Insights (AER: Insights) via the AEA/ScholarOne submission system — the word-count and exhibit-count gates, abstract limit, fees, author metadata, declarations, and the AEA Data and Code Availability Policy. Final checks; it does not draft content.
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 running the final pre-submission preflight for an Advanced Materials manuscript — article type, format, files, Supporting Information, TOC graphic, ORCID, and metadata for the Wiley submission system. Verifies submission readiness; does not write content.
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 running the final pre-submission preflight for the American Economic Journal: Macroeconomics (AEJ: Macro) via the AEA submission system — membership-scaled fee, JEL codes, PDF and length rules, ≤100-word abstract, disclosure statements, and data/code readiness. Final checks; it does not draft content.
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 running the final pre-submission preflight for AEJ: Economic Policy via the AEA online submission system — single-blind review front matter, JEL codes, submission and publication fees, format, the Data and Code Availability Statement, and disclosure. Final checks; it does not draft content.
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 designing or auditing figures for an Advanced Materials manuscript, including the lead figure, multi-panel characterization figures, and the Table-of-Contents graphic, where visual quality is a house expectation. Designs figure strategy; does not run the analysis or write prose.
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 partitioning content between an Advanced Materials main text and its Supporting Information, ensuring the paper stands alone while extended data, full experimental detail, and secondary characterization live in the SI. Organizes the Supporting Information; does not write the main text.
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 running the final pre-submission preflight for an American Economic Journal: Applied Economics (AEJ: Applied) manuscript via the AEA ScholarOne system — single-blind review front matter, JEL codes, submission and publication fees, format, disclosures, and AEA data-policy readiness. Final checks; it does not draft content.
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 preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.
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 running the final pre-submission preflight for an Academy of Management Annals (Annals) proposal or invited full review via the Manuscript Central portal — proposal-vs-invited-review route, deadlines, formatting, CV, and anonymity. Final checks; it does not draft content.
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。
小红书笔记采集 → 统一 frontmatter Markdown → 爆款拆解 + 衍生选题。 支持笔记链接和 xhslink 短链；爆款拆解按「人群×场景×痛点×情绪×钩子」生成可复用选题。
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。
X(Twitter) 推文采集 → 统一 frontmatter Markdown。自动区分图文与视频： 图文下载图片本地嵌入，视频提取直链转成文字稿。无需登录（走官方嵌入端点）。
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。
Find and evaluate creators, influencers, affiliates, and UGC partners using audience fit, content fit, authentic product adjacency, engagement quality, public contactability, commerce signals, and brand-safety evidence—not follower count alone.
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。
Search LinkedIn posts by keywords, sorted by engagement or date. Use when researching what people are saying about a topic on LinkedIn, finding high-engagement content, identifying thought leaders, or discovering warm leads through post engagement. Returns author, post text, reactions, comments, shares, post URL, and date. No LinkedIn cookies or login required.
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。
Mandatory pre-publish review gate for a UGC video render. Transcribes the finished render's AUDIO with Whisper and word-diffs it against the approved spoken script, then gates pinning the final render (video_project_upsert patch.final_render_id) — blocking a render whose generated audio mis-voices a word (e.g. the approved "human-vetted" spoken as "human witted"), says a different number or brand name, flips a negation, drops an approved phrase, or comes back silent. Correct speech written differently ("5mg" said "five milligrams", "30%" said "thirty percent", a spoken URL, "don't" said "do not", "braxleybands" said "braxley bands", a confirmed pronunciation like "AG1" said "A G one") passes. Runnable, gating counterpart to content-goose's review-transcript-integrity atom. Every ugc-video-formats recipe runs this after render and BEFORE pinning the final render.
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。
Analyze a creator, influencer, founder, competitor, or brand social account to explain its positioning, content pillars, winning posts, hooks, formats, series, calls to action, and audience response. Use when the user wants to understand why an account works and what patterns to test without copying it.
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。
Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.
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。
Evaluate whether a creator, influencer, or brand account reaches the right audience using public profile, aggregate demographic, geography, language, content, comment, and commerce signals. Use for creator comparisons, sponsorship fit, market fit, and audience-quality research.
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。
Search TikTok - find profiles, videos, hashtags, and trending content
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。
Turn TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble transcripts into timestamped hooks, claims, objections, proof, calls to action, sponsorship signals, and reusable content atoms. Use directly for transcript analysis or as support for creator, competitor, trend, demand, and repurposing work.
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。