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Found 6 Skills
Master metaphysics and ontology - the study of being, existence, and fundamental reality. Use for: existence, being, substance, identity, causation, modality, time, universals. Triggers: 'ontological', 'metaphysical', 'what exists', 'substance', 'essence', 'existence', 'being', 'identity', 'persistence', 'causation', 'modality', 'possible worlds', 'universals', 'particulars', 'properties', 'abstract objects', 'time', 'change', 'composition'.
This skill should be used to generate realistic, persona-consistent synthetic coaching and therapy session transcripts for evals, demos, and training data. It produces fictional but believable coach/client (or therapist/client) dialogue grounded in a chosen modality (ICF/GROW coaching, CBT, IFS parts work, ACT/motivational interviewing) and exports to Fathom/Granola transcript style, plain dialogue, structured JSON, or Obsidian markdown. Triggers on requests like "generate a synthetic coaching session", "make fake therapy transcripts for evals", "create demo session transcripts", "synthetic CBT dialogue", "persona-consistent coaching transcript", "test data for my session summarizer", or "mock coaching call".
Apple Human Interface Guidelines for iOS. Covers navigation (tab bars, NavigationStack, toolbars), interaction design (touch targets, gestures, haptics), accessibility (VoiceOver, Dynamic Type, color contrast), user feedback (loading, errors, empty states), UX patterns (onboarding, permissions, modality, confirmation dialogs), and visual design (dark mode, SF Symbols, layout margins). This skill should be used when designing iOS user experiences, implementing HIG-compliant interactions, ensuring accessibility compliance, building navigation hierarchies, or reviewing apps for Apple design guideline compliance.
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
Design and operate an advanced AI agent memory system on HelixDB using hybrid graph + vector + BM25 search. Use when building long-term memory, user profiles, document/chunk RAG, recall/remember features, memory extraction, deduplication, consolidation, versioning, updating, forgetting/deletion, categorisation, or connector-backed ingestion. Covers tenant-safe Helix data modeling, modality decision rules, the full write/maintain lifecycle, and the product layers an agent must implement around Helix. TypeScript-first (@helix-db/helix-db); a Rust DSL variant is in EXAMPLES.rust.md.
Develop the Stitch SDK. Covers the generation pipeline, dual modality (agent vs SDK), error handling, and Traffic Light (Red-Green-Yellow) implementation workflow. Use when adding features, fixing bugs, or understanding the architecture.