1507 个 ・ 集成工具: LinkedIn · 按人气排序
Build a seven-day LinkedIn content calendar around an audience and theme. Get post angles, formats, opening approaches, calls to action, posting times, and daily commenting targets, with checks for balance across the week.
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Draft replies to a single LinkedIn comment or relevant comments across a post. Review conversation context, see which comments were skipped and why, then approve suggested reactions and replies for publishing.
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Draft a LinkedIn post from a topic and audience, choosing among 20 opening and structure formulas by the response you want. Includes founder-focused angles, wording cleanup, optional visuals, and scheduling through Publora after approval.
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Draft comments on LinkedIn posts from their URLs, with one to three options in your voice and a suggested reaction. Review drafts before publishing through Publora, or prepare a reshare with optional commentary.
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Analyze a LinkedIn post to identify its opening formula, body structure, and closing pattern. Get an explanation of its persuasive devices, confidence scores, cautions, and a blank template adapted to your topic.
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Analyze people who liked or commented on LinkedIn posts and group them by fit with your target customer profile. Get a categorized roster, audience breakdown, and suggested follow-up actions, including short DM openers.
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Track author replies to your LinkedIn comments and organize conversations by elapsed time. Receive a report of reply status and recommended actions, with follow-up drafting routed to a related skill for timely responses.
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Turn existing tweets, videos, blogs, or newsletters into LinkedIn posts while preserving their claims and facts. Rebuild the opening, paragraph structure, and closing prompt, review artificial phrasing, and publish through Publora after approval.
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Design a LinkedIn employee advocacy program, where team members share work-related content in their own voices. Get a fourteen-day launch plan, individual posting schedules, review guidelines, and metrics connecting team activity to business results.
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Prepare conference slides, academic posters, and research promotion content after paper acceptance. The skill guides talk structure, visual layout, timing practice, anticipated questions, and drafts for Twitter/X, LinkedIn, and a broader-audience blog post.
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Turn research findings into academic abstracts, public summaries, press releases, and social posts tailored to each audience. Also supports reviewer responses, study pre-registration, reporting checklists, and checks on consistency and reproducibility.
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Audit writing for repetitive phrases, vague praise, excessive formatting, and other patterns associated with AI text. Get a revised version with reasons for changes, or use detection mode to review flagged passages without altering the original.
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Find social posts that performed unusually well compared with each account’s typical results. Analyze opening hooks, topics, and formats, then build a reference collection with source links and practical ideas for future content.
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Analyze public social video transcripts to extract opening hooks, claims, quotes, and recurring themes. Use source-linked findings to summarize videos, compare creators, and develop social posts, short scripts, or newsletter sections.
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Fetch public social media data through the ScrapeCreators API, including profiles, posts, comments, transcripts, ads, and trends. Select the appropriate data endpoint and retrieve JSON, a structured data format, for research or further analysis.
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Analyze public ads from Meta/Facebook, Google, and LinkedIn to understand competitor messaging and offers. Extract hooks, headlines, and calls to action, then suggest advertising tests grounded in recurring patterns and gaps.
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Turn public videos, transcripts, posts, or creator research into drafts for LinkedIn, X, short videos, newsletters, and blogs. Adapt key ideas to the intended audience, voice, and platform while retaining source references.
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Compare competitors’ public social profiles and posts to identify strong topics, formats, and posting patterns. Get an evidence-based brief with content gaps and suggested experiments, accounting for each account’s usual performance.
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Research public social conversations about a brand, product, person, or topic. Get a report with cited themes, representative posts, positive and negative signals, limits on interpretation, and recommended actions.
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Use DeepAPI to search the web, collect website and social platform data, and produce sourced research. It also routes tasks to services for public website actions, email, image generation, and persistent agent memory.
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Automate web tasks in an already-running Chrome session, including clicks, forms, and content extraction from signed-in pages. Use screenshots to guide actions and verify visible results, with remote browsers available for isolated work.
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Research a person's public profiles, posts, and development activity to produce a brief credibility assessment. Highlight up to three meaningful facts, distinguish personal claims from verified evidence, and note missing or private profiles.
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Connect paid advertising accounts in NotFair and establish reusable brand and campaign context. Prepare a new workspace for agent-assisted advertising work, or refresh existing context across Google, Meta, X, LinkedIn, Reddit, and TikTok Ads.
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Coordinate paid advertising work across multiple platforms, including Google Ads and Meta Ads. Use it to discuss strategy, budgets, acquisition costs, return on ad spend, and campaign performance, or identify the appropriate specialist advertising skill.
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