Total 39,897 skills
Showing 12 of 39897 skills
Use when planning animation workflows, deciding between spontaneous vs controlled approaches, or balancing creative freedom with structural precision.
Use when creating ongoing animations - loading spinners, pulsing indicators, ambient motion, background effects, or any animation that repeats indefinitely.
Use when animation "feels wrong" but you can't pinpoint why—debugging floaty movement, stiff characters, unclear action, or any motion that isn't working and needs systematic troubleshooting.
Implement middleware for authentication, logging, CORS, and request processing. Use for cross-cutting concerns and request/response modification.
Use when creating animations for business contexts that require seriousness, competence, and trustworthy presentation.
Implement Server-Sent Events for real-time server-to-client updates. Use for live feeds, notifications, and streaming data.
Use when determining how far to push motion beyond realism, calibrating animation intensity for context, or making key moments register with audiences.
Use when animating lists, grids, tables, or collections of items to create smooth ordering, filtering, and loading states
Implement graceful server shutdown to handle in-flight requests before stopping. Use for zero-downtime deployments and proper resource cleanup.
Use when teams need shared direction and decision-making alignment. Invoke when starting new teams, scaling organizations, defining culture, establishing product vision, resolving misalignment, creating strategic clarity, or setting behavioral standards. Use when user mentions North Star, team values, mission, principles, guardrails, decision framework, or cultural alignment.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation.