546 skills · sorted by relevance
Plan and build AI agents on Google Cloud, from gathering requirements to choosing a single-agent or multi-agent design. Produce architecture diagrams, deployment code and instructions, and validation plans tailored to the workload.
Gather information from multiple Notion pages and combine it into briefs, summaries, comparisons, or detailed reports. Include citations and source links, identify missing or conflicting evidence, and document findings in Notion.
Turn a feature idea into a specification through structured questions about users, business goals, and technical constraints. Produce requirements, user stories, testable acceptance criteria, and an implementation checklist, including performance, security, and error handling.
Audit a development milestone before archiving it by checking requirements, connections between phases, and complete user flows. It reads existing verification reports and gathers technical debt and deferred gaps to assess whether the original completion criteria were met.
Set up a new project by gathering context, optionally researching the domain, defining requirements, and building a roadmap. It creates planning files that record the project’s background, workflow preferences, phased structure, and ongoing state.
Prepare for a demand letter by gathering the parties, facts, legal basis, deadlines, and desired outcome. Record negotiation options and information to exclude in a structured intake.md file for the separate drafting skill.
Start planning hiring in a new country by gathering requirements, comparing an employer of record with a local entity, identifying questions for different teams and country-specific concerns, and creating a tracker for ongoing follow-up.
Collects and summarizes background research for a product feature, including customer needs, competitors, regulations, and internal decisions. Produces a source-linked background.md and updates shared context documents when findings are useful across features.
Gather web information and turn it into an Excel workbook with explicit checks. Handles search failures through delegated research, records sources and missing data, and verifies the saved workbook against requested requirements.
Recover from repeated web search failures by delegating information gathering to shell_agent. Define the required data and output format, allow retries and alternative collection methods, then check source citations and completeness before using the results.
Prepare meeting agendas and reading materials using relevant Notion pages and supplemental research. Tailor the content to attendees and required decisions, with source links, discussion owners, time allocations, and follow-up actions.
Create an escrow that holds ERC20 tokens until an AI oracle, a service that judges submitted results, accepts fulfillment of written conditions. The skill helps clarify those conditions, gather settings, and run the CLI.
Collect channel information and video details from a YouTube channel through BrowserAct API. Choose latest, popular, or earliest videos and receive structured metrics, including views, publication dates, and subscriber counts, for content research and reporting.
Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.
Collect structured YouTube search results for videos, Shorts, channels, or playlists. Retrieve titles, displayed view counts, publication times, and URLs to build topic lists, research competitors, or gather tutorial resources.
Search Threads by keyword or hashtag and collect matching posts with text, authors, timestamps, and engagement counts. Choose relevant or popular results, or newest posts first, using public search results available without logging in.
Collect posts from public Facebook Pages with their text, authors, links, hashtags, and engagement counts. Gather reaction breakdowns and multiple batches of posts to review page activity, compare responses, or collect content around a chosen period.
Extract a YouTube video’s full transcript and metadata, meaning details such as its title, channel, and like count, through the BrowserAct API. Use the results as source material for summaries, content research, or knowledge bases.
Search YouTube by keyword and upload period, then collect full transcripts and video details in batches through the BrowserAct API. Results include titles, video links, channels, and like counts for research or use in AI summarization workflows.
Search WeChat articles by keyword and retrieve full text alongside titles, authors, publication dates, article links and cover image URLs. Set collection limits and publication date filters to gather material for topic, brand or competitor research.
Collect public posts from a Threads profile by username, including text, dates, engagement counts, and media information. Load additional posts by scrolling to build a collection of the account’s available content.
Search X posts by keyword, date range, author, engagement thresholds, and media type. Collect structured results containing post text, author profiles, reaction counts, and media, with support for latest or top results and collection across multiple pages.
Extract structured product details from Walmart URLs, including prices, availability, specifications, images, and color or size options. Gather fulfillment choices, return policies, and review summaries to support product comparisons and catalog building.
Collect Google Maps reviews through BrowserAct using search keywords, language, and country settings. Retrieve reviewer names, ratings, review text, dates, and likes as structured data for reputation research, competitor comparisons, and customer feedback analysis.