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Found 571 Skills
Turn venue notes, dish lists, and brand cues into a scannable food or beverage menu with clear categories, consistent item anatomy, and mood-matched visual intent—not a flyer, recipe book, or website sitemap. Use when the user asks for a restaurant menu, café menu, bar or wine list, catering sheet, room-service card, tasting menu, or seasonal insert for hospitality print or PDF. Create menus with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Blueprint operational, launch, diligence, or readiness checklists with phased flow, verifiable items, and scannable hierarchy—not a flat bullet dump or generic productivity template. Use when the user asks for a checklist, pre-flight list, deploy runbook checks, onboarding steps, audit tracker, or "what do we need before we ship." Create checklists with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Turn notes, specs, or release details into a single-page brief that aligns stakeholders on one story—problem, solution, proof, scope, or changelog—not a deck, flyer, or multi-page PRD. Use when the user asks for a one-pager, product brief, executive summary page, solution overview, initiative brief, or printable one-page spec. Create one pagers with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Run Remotion formatting and style checks until they pass. Use when the user asks to fix formatting or run the formatting command.
Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`).
Guidelines for Git commands, version control, commit message formatting, branch strategy, and pull requests.
Draft instructor-ready course syllabi with aligned outcomes, a scannable schedule spine, grading architecture, and policy layers from prompts, outlines, or legacy syllabi. Use when the user asks for a syllabus, course outline, curriculum map, or term schedule for a class they are teaching or redesigning. Create syllabi with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Blueprint job, program, or membership application forms with clear field architecture, calibrated answer spaces, and professional fillable layout intent—not a resume paste or generic questionnaire dump. Use when the user asks for an application form, printable application, enrollment form, or structured apply document (including role-specific or attachment-backed applications). Create application forms with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Turn career history, notes, or an existing CV into a tailored, achievement-led resume with clear hierarchy and scannable proof—not a generic duty list or keyword-stuffed template. Use when the user asks for a resume, CV, job application document, or role-targeted career summary (including refresh for a specific job posting). Create resumes with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Draft commercial agreements (NDA, MSA, SOW, SaaS, vendor) from user terms and deal context—signature-ready layout, counsel review required, no invented law. Use when the user asks to draft, author, template, or format a contract or agreement (not review-only). Create contracts with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Transform research papers, manuscripts, and findings into conference-ready academic posters with viewing distance typography, balanced columns, and high visual density. Use when asked to create an academic poster, scientific poster, conference poster, or A0/A1 poster. Create research posters with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Verify that a Markdown file has correct formatting — headings, lists, links, code blocks, spacing, and consistent style.