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Found 23 Skills
Generates animation configurations for Remotion including spring configs, interpolations, easing functions, and timing logic. Focuses ONLY on animation parameters, NOT component implementation. Use when defining animation behavior or when asked to "configure animations", "setup spring configs", "define easing curves".
Perses variable lifecycle management: create Text and List variables at global, project, or dashboard scope. Handle variable chains with dependencies (A depends on B depends on C). Supports 14+ interpolation formats. Uses MCP tools when available, percli CLI as fallback. Use for "perses variable", "dashboard variable", "perses filter", "add variable". Do NOT use for datasource management (use perses-datasource-manage).
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when Claude needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
Send an email via the Recoup API the reliable way — a Node helper that serializes the body correctly and fails loudly instead of sending an empty email. Use whenever a task needs to email a report/summary/notification to the account owner or a recipient. ALWAYS use this script to send email; never hand-build `curl … -d "{…}"` with inline `jq`/shell interpolation (that silently produces empty "Message from Recoup" footer-only emails). Pairs with recoup-platform-api-access (which it sends through).
Configure Steedos Server via environment variables and YAML settings files. Covers required env vars (MONGO_URL, ROOT_URL, B6_TRANSPORTER, B6_CACHER), steedos-config.yml project settings, default.steedos.settings.yml template with env interpolation, datasources, tenant settings, CFS file storage (local, aliyun, aws, steedosCloud), SSO/OIDC, email, SMS, push notifications, and frontend asset URLs.
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.
Write and review high-performance React Native animations and 2D graphics using react-native-reanimated (v4+) and @shopify/react-native-skia (Canvas scenes, runtime effects/shaders). Use for: gesture-driven interactions, spring/timing transitions, layout/mount animations, Reanimated CSS transitions/animations, Skia drawings, animated shader uniforms, path/vector interpolation, dev-mode tuning panels (sliders), and diagnosing animation jank (JS thread stalls, excessive re-renders, per-frame allocations).
Expert blueprint for programmatic animation using Tween for smooth property transitions, UI effects, camera movements, and juice. Covers easing functions, parallel tweens, chaining, and lifecycle management. Use when implementing UI animations OR procedural movement. Keywords Tween, easing, interpolation, EASE_IN_OUT, TRANS_CUBIC, tween_property, tween_callback.
Author and maintain Eve manifest files (.eve/manifest.yaml) for services, environments, pipelines, workflows, and secret interpolation. Use when changing deployment shape or runtime configuration in an Eve-compatible repo.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
Build, troubleshoot, and test VoltSP pipelines (Java DSL and YAML API), including runtime configuration/secrets interpolation and deployment via CLI or Kubernetes/Helm. Use when authoring pipeline definitions, environment configs, plugin extensions, or pipeline validation tests.