Makepad 2 0 animation
Makepad 2.0 guidance for animation; use when building or debugging Makepad UI code.
Skills for your AI
Makepad 2.0 guidance for animation; use when building or debugging Makepad UI code.
Makepad 2.0 guidance for dsl; use when building or debugging Makepad UI code.
Makepad 2.0 guidance for events; use when building or debugging Makepad UI code.
Makepad 2.0 guidance for layout; use when building or debugging Makepad UI code.
Makepad 2.0 guidance for widgets; use when building or debugging Makepad UI code.
Transform messy meeting notes and transcripts into structured action items, decisions, and follow-ups. Never lose a meeting insight again.
Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data observability request.
Transcribing, displaying and animating captions
Create a new Remotion video
Search Remotion documentation
Structure Remotion markup for interactivity
Use when this upstream workflow matches the user's stated goal.
Design, optimize, and test pricing strategies for SaaS products using data-driven frameworks, competitive analysis, and psychological pricing principles.
Imported skill `score-eval` from upstream source.
Curated upstream guidance for Writing Guidelines; use when the workflow matches the user goal.
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.
Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.