395 skills · sorted by relevance
Check research claims cited in books, articles, or conversations by tracing the original paper, methods, underlying data, and independent replication. Save a sourced assessment explaining whether the claim holds up and what remains uncertain.
Create mathematical and technical explainer videos with Manim Community Edition. The skill guides scene planning, animation code, rendering, and clip assembly to show equations, algorithms, system structures, and data through coordinated visuals.
Turn a founder’s business vision into linked Markdown files through a phased interview covering strategy, finance, sales, operations, and governance. Build a company knowledge bundle that people and AI agents can read, with progress tracking and decision history.
Analyzes supplied books, articles, PDFs, and document sets by separating claims, evidence, assumptions, and objections. Produces argument maps and traceable evidence records, with reading modes that also support whole-book understanding, explanation practice, and recall.
Turn system structures, processes, and concepts into dark-themed diagrams. Create architecture diagrams, flowcharts, timelines, and other visual explanations as scalable SVG files, with PNG versions for use as images.
Document a solved and verified problem when its reasoning is missing from code, tests, and existing documentation. Save one durable lesson in the repository so future agents can find it and avoid repeating substantial investigation.
Find relevant Google Cloud monitoring metrics for a service or resource. Retrieves current metric definitions through the API, filters them by the requested concepts, and presents selected metrics with their names, data types, units, and monitored resources.
Learn Cloud Build fundamentals and set up a basic build trigger for source code changes. Covers project preparation, configuration files, manual trigger runs, and checking build history and logs in Google Cloud.
Design GraphQL APIs with clear data types, data-fetching functions called resolvers, and real-time updates. Address repeated database calls, pagination, structured errors, and expensive queries while planning schema changes that preserve compatibility.
Learn how instructions, documents, tool results, and conversation history form an AI model’s context. Understand attention limits, why information in the middle can be missed, and how relevance and placement inform decisions about what to include.
Model what an agent believes, wants, and commits to doing. Connect external facts to goals and plans using structured relationships, with evidence and validity periods that help trace why the agent chose an action.
Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.
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.
Study verified medical guidelines through section summaries linked to their original locations. The skill explains confusing points, summarizes selected topics, and builds learning sequences with estimated study time and signs of understanding.
Turn systems, code changes, plans, and data into HTML explanations built around diagrams and visual comparisons. Add interactive or animated steps where useful, with slides, PPTX exports, and MP4 videos available on request.
Review paid-ad copy, images, and video for clarity, platform fit, accessibility, and consistency with the destination page. Use delivery and response trends to assess creative fatigue and produce prioritized briefs for refreshes or experiments.
Generate paid-ad product photography variants from an authorized image and a validated brand profile. Preserve product appearance, explore studio or lifestyle concepts, and check visual quality while recording generation details, costs, and asset information for required human review.
Turn law study outlines, notes, or textbook excerpts into flashcards, then practice one question at a time in chat. Self-assessment updates learning stages and review dates, while subject-level statistics highlight concepts that need more work.
Build course and workshop slides that keep learning objectives visible on the left. The deck includes concepts with examples, multiple-choice self-check questions, a wrap-up, and a preview of the next module, with warm paper tones and Playfair typography.
Develop and troubleshoot Apache Beam's YAML SDK. Understand its source files, run data processing pipelines locally or on Dataflow, test changes, and investigate provider issues or mismatched record fields.
Create and edit Obsidian notes, visual canvases, and databases. This skill set handles links between notes, highlighted information blocks, note properties, and database views with filters and formulas, helping preserve the formats used by Obsidian.
Create a six-frame storyboard showing a user's journey from a difficult situation to a better outcome. Develop the narrative, emotions, and visual descriptions to make product concepts concrete for pitches, concept reviews, and team discussions.
Turn a product design brief and visual references into three distinct design images. Compare layouts, information priorities, and interaction approaches, then refine or combine ideas to choose a visual direction before implementation begins.
Choose charts and diagrams that fit the data and the question readers need to answer. Plan layouts and interactions for large screens and mobile devices, or critique existing visuals for misleading comparisons, unclear labels, and hidden information.