Json Canvas

Design and implement GraphQL APIs with schema design, resolvers, queries, mutations, subscriptions, and best practices. Use when building GraphQL servers, designing schemas, or migrating from REST to GraphQL.

Generates production-grade Playwright automation scripts and E2E tests in TypeScript, JavaScript, Python, Java, or C#. Supports local execution and TestMu AI cloud across 3000+ browser/OS combinations and real mobile devices. Use when the user asks to write Playwright tests, automate browsers, run cross-browser tests, test on real devices, debug flaky tests, mock APIs, or do visual regression. Triggers on: "Playwright", "E2E test", "browser test", "run on cloud", "cross-browser", "TestMu", "LambdaTest", "test my app", "test on mobile", "real device".

Writes and edits short product and marketing copy, including landing pages, CTAs, onboarding strings, product descriptions, email subjects, UI state copy, brand voice charts, and AI-ism cleanup. Use when asked to "write copy", "fix the copy", "make this shorter", "improve the CTA", "rewrite from first principles", "remove AI-isms", "clean up AI writing", "flag AI patterns", "define our tone of voice", or "write a voice guide". For blog posts use the external ghostwriter skill with platform blog; for slide copy use presentation-creator; for docs use docs-writing; for product behavior decisions use product-design.

Market positioning strategy using the April Dunford framework, enriched with JTBD discovery, Moore positioning statement, and Neumeier's Onliness Test. Produces a complete positioning document, positioning statement, competitive alternatives map, and market category analysis. Use when the user wants to define or refine their market positioning, find their unique position, differentiate from competitors, craft a positioning statement, choose a market category, or figure out "how should we position this product." Triggers for "positioning", "how to position", "market position", "differentiation strategy", "positioning statement", "competitive positioning", "category strategy", "where do we fit in the market", "how are we different", "unique value proposition", or any request to define, sharpen, or rethink positioning. Works standalone — no prior startup-design or startup-competitors session needed, but leverages their output if available.

Protein structure retrieval from RCSB PDB, PDBe, and AlphaFold with disambiguation, quality assessment (resolution, R-factor, pLDDT), and metadata. Distinguishes high-quality experimental (X-ray under 2 Angstrom) vs predicted vs medium-quality structures. Use for fetching protein structures, structure-quality comparison, and selecting structures for drug design or modeling.

Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"