SEO, ads, social media, landing pages, and copywriting (3K skills)
Automate Customer.io broadcasts and review delivery, open, and click metrics through Composio. Retrieve audience segments, newsletters, transactional message templates, and broadcast execution history to support targeting and track customer messaging.
Automate Doppler Marketing Automation operations through Rube MCP and Composio. The skill guides tool discovery, connection checks, and execution using current input requirements, with patterns for bulk operations and fetching additional result pages.
Carry out Benchmark Email tasks through Rube MCP, which links an AI agent with external tools. The skill discovers supported actions and their input formats, confirms an active connection, and executes the requested operations.
Use Ahrefs through Composio to research keywords, inspect backlinks, review organic search rankings, and track domain metrics over time. Compare SEO performance across competitors or site sections with batch analysis of up to 100 URLs.
Collect competitors’ ads from libraries such as Facebook Ad Library and LinkedIn, save screenshots, and compare messages, audiences, and visual patterns. Use the findings to develop original campaign ideas and advertising copy.
Publish image posts or long articles to 小红书 using supplied text and images, or content extracted from a webpage. Checks titles, prepares simplified Chinese text, and guides confirmation, article template selection, and account choice.
Create a short WeChat group announcement and a tall PNG poster from Chinese release notes. The skill summarizes features and fixes, verifies credited contributors through GitHub, and includes their actual profile images.
Find rising topics, hashtags, and content formats in a specific niche. Get a ranked shortlist with evidence of momentum, an estimate of timing, and concrete ways for a brand to join the conversation.
Research a named competitor using public websites, social posts, and press coverage. Track launches, pricing, and messaging changes, then summarize three to five notable developments with brief takeaways in a weekly digest for the team.
Draft a LinkedIn post from a topic or rough notes, matching the tone and length of past posts. Shape one clear idea into a specific opening, short paragraphs, and a gentle discussion prompt, ready for review.
Develop content ideas for a specific niche, audience, and goal. Each concept includes a clear angle, an attention-grabbing opening or visual, and a suggested platform and format, with related ideas grouped into series when useful.
Turn a blog post, newsletter, transcript, or notes into drafts for X and LinkedIn. Extract distinct ideas, preserve the author's voice, and adapt each idea into short posts, a thread, or longer posts suited to the platform.
Build weekly or monthly content calendars around goals, audience habits, and fixed events. Get dated topics, formats, platforms, and suggested posting times, with a balanced content mix and room for timely updates.
Analyze audience demographics and engagement to identify distinct groups, understand what they want, and prioritize valuable segments. Turn those findings into recommendations for content topics, formats, posting times, and tone, while explaining limits in the data.
Turn social media and content metrics into a concise report comparing engagement, reach, and growth across periods or platforms. Explain performance patterns, flag data quality issues, and propose three to five actions backed by the findings.
Assess a website separately for five AI search services, including ChatGPT and Google AI Overviews. Compare scores, identify gaps in content and platform presence, and receive actions organized by priority and timeframe.
Check whether AI crawlers, the bots that collect web content for AI services, can access a website. Get a crawler access table, an assessment score, and recommendations based on robots.txt, page tags, HTTP headers, and rendering requirements.
Assess a website’s readiness for AI search alongside traditional SEO. Review content citation readiness, crawler access, brand mentions, technical foundations, and structured data, then generate scores, prioritized recommendations, and client reports.
Assess a brand’s presence on YouTube, Reddit, Wikipedia, LinkedIn, and other sources relevant to AI search. Review mentions, official profiles, and discussion sentiment, then produce a weighted authority score and recommendations for each platform.
Turn existing GEO audits, which assess readiness for AI search citations, into one client report. Combine scores, technical and content findings, platform comparisons, and a prioritized action plan written for business owners and marketing leaders.
Audit a website’s technical foundations for search engines and AI services. Check crawler access, indexing, security, mobile usability, speed, and server-rendered content, then produce a scored Markdown report with prioritized findings.
Review website content for AI citation readiness using E-E-A-T: experience, expertise, authoritativeness, and trustworthiness. Assess evidence, author information, structure, freshness, and topic coverage, then receive scores, passage-level findings, and specific recommendations for improvement.
Assess web content for AI citation readiness using a weighted scoring rubric. Get page and section scores, identify passages needing work, and receive concrete suggestions for clearer answers, stronger evidence, and more readable structure.
Audit website structured data, the markup that describes businesses and content to machines. Detect errors and missing details, then generate JSON-LD code and a report with recommendations for improving AI readability.