4,490 件 ・ 関連度順
概要と使いどころ
Use when organizing the ACM MM (ACM Multimedia) supplementary material due after the paper deadline — deciding what belongs in the 6-8 page body versus the supplement, packaging video/audio/interactive demos that render on a reviewer's machine, keeping all assets anonymous for double-blind tracks, and pointing to code and data.
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 auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and final-week sequencing.
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 ACM CCS appendices and supplementary material, including the ethics considerations appendix, protocol transcripts, formal proofs, measurement tables, and anonymized supporting material under the 12-page body limit, anonymity, and reviewer-discretion constraints for a security paper.
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 Accounting, Organizations and Society (AOS) manuscript — Editorial Manager files (anonymized manuscript, separate title page, declarations), Elsevier policies (competing interests, AI, ethics), and open-access decisions. Checks readiness to submit; it does not handle the post-decision response (aos-rebuttal).
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 auditing an ACL submission before an ACL Rolling Review cycle deadline, covering long/short paper page budgets, the mandatory Limitations section, Responsible NLP checklist, anonymized PDFs and supplements, preprint declarations, dual-submission rules, resubmission linking, and ARR desk-reject triggers on OpenReview.
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 revising an AAAI manuscript for broad-AI-audience fit, a first-page contribution statement legible to non-specialist Phase-1 reviewers, two-column readability, concise novelty claims, reproducibility-checklist alignment, hedged limitations and ethics, and policy-aware framing of AI-system and capability claims.
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 auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.
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 writing the short proposal that gates an Academy of Management Annals (Annals) review — the ≤5-page, four-heading proposal submitted under the twice-yearly deadlines before any full review is invited. Builds the proposal; it does not gather the literature (amann-literature-synthesis) or run the portal preflight (amann-submission).
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 AAMAS supplementary material - proofs, extended game and mechanism definitions, extra multiagent experiments, opponent-set details, and the anonymized artifact zip - under the size cap, anonymity, and reviewer-discretion limits, including how to split a game-theory-plus-experiments paper across the 8-page body and the supplement.
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。
Map complete topic clusters for any subject area — hub pages, spoke articles, supporting content, internal linking architecture. Identifies content gaps, priority order, and builds a structured content calendar. Produces topic maps that build genuine topical authority, not random blog posts.
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。
Get LinkedIn profiles, company pages, and posts
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。
Generates Instagram-ready product reels from any e-commerce product page URL. Scrapes product images, classifies by type, generates AI-animated clips via Higgsfield API, creates text overlays with style presets, and composes a 15-20 second reel with music. Supports model-based and product-only reels.
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 the Wayback Machine for archived versions of websites. Extract cached pages, customer lists, testimonials, and partner directories from sites that have changed or gone offline. Uses the free CDX API — no API key needed.
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。
Neural web search - find similar content, extract pages, and run deep 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。
Reverse-engineer how competitors do programmatic SEO. Detects URL pattern clusters (vs/, integrations/, for-{industry}/), estimates page count per pattern, analyzes template quality, infers which patterns actually drive traffic, and identifies gaps you can exploit. Outputs a competitive pSEO landscape report.
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 websites, extract structured data, and automate browsers. Use when asked to scrape, extract, crawl, parse, or pull data from web pages or any URL.
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。
Take screenshots of any website using Notte browser automation. Use when asked to screenshot, capture, or snap a webpage.
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。
Browser automation - control browser sessions, scrape pages, and run AI agents
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 leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".
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 a website, landing page, content, or any online asset through the eyes of pre-built synthetic ICP personas. Loads personas from buyer-persona-generator output, then runs them against target URLs. Supports three modes: structured scorecard, freeform focus group, and head-to-head competitive comparison. Reusable — run against the same site after changes, or against new content anytime.
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。
Take a new feature or product update and generate the full launch kit: changelog entry, email announcement, LinkedIn post variants, in-app banner text, Twitter/X thread, and internal sales enablement one-pager. Pure reasoning skill that chains product context with audience-specific copy generation. Use when a product marketing team needs to turn a feature spec into launch-ready assets fast.
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。
Take raw customer inputs — interview transcripts, survey responses, Slack quotes, support tickets, review excerpts — and generate a structured case study draft with problem/solution/result narrative, pull-quotes, metric callouts, and multi-format outputs (full case study, one-pager, social proof snippet, sales deck slide). Pure reasoning skill. Use when a product marketing team has customer signal but no time to write the story.
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 detailed, differentiated content briefs at scale. Each brief includes SERP analysis, competing page breakdown, unique angles from real customer language (reviews, Reddit), internal linking plan, and SERP feature targets. Batch mode produces 10-50 briefs in one run. Crushes generic "keyword density" briefs from tools like Surfer or Clearscope.
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。