Heady-AI
Official@headyai · United States
Heady-AI — Continuous Semantic Logic · Latent Intelligence OS
Agent Skills by Heady-AI
Showing 81 vetted skills indexed across 1 GitHub repositories.
HeadyAIheady-mirror-dimension
Create isolated mirror dimensions from production for chaos testing.
HeadyAIheady-load-forge
Launch phi-ramped load tests and collect p50, p95, and p99 metrics.
HeadyAIheady-cloud-forge
Design, provision, and manage multi-cloud infrastructure with Terraform or Pulumi.
HeadyAIheady-agent-orchestration
Coordinate eight specialized agents using CSL logic and LangGraph workflows.
HeadyAIheady-learning-spiral
Design adaptive learning paths and coaching workflows across the Heady ecosystem.
HeadyAIheady-donor-resonance-engine
Model donor resonance and orchestrate personalized nonprofit fundraising journeys.
HeadyAIheady-federated-brain
Coordinate privacy-preserving federated model training across distributed edge nodes.
HeadyAIheady-empathy-core
Detect user emotional state from multi-signal inputs and map it into VAD space.
HeadyAIheady-intelligence
Analyze codebases and designs for structure, patterns, and risks.
HeadyAIheady-identity-loom
Design federated identity systems with privacy-preserving authentication and cross-org SSO.
HeadyAIheady-swarm-covenant
Formalize swarm topology, agent roles, and lifecycle with YAML frontmatter and executable protocol bodies.
HeadyAIheady-auth-fortress
Manage Firebase authentication with 27 OAuth providers and phi-tiered token lifecycles.
HeadyAIheady-voice-vessel
Design and operate real-time voice interaction pipelines across Heady surfaces.
HeadyAIheady-migration-engine
Apply topologically ordered Postgres schema migrations with zero downtime.
HeadyAIheady-arena-productization
Productize model-evaluation tooling into a user-facing arena with routing and APIs.
HeadyAIheady-wellness-mirror
Model a privacy-first wellness system tracking mood, energy, and stress.
HeadyAIheady-feature-forge
Develop end-to-end feature specifications for Heady platform capabilities.
HeadyAIheady-ag-ui-protocol
Stream agent lifecycle events to UI components via SSE and WebSocket.
HeadyAIheady-agent-runtime
Orchestrate distributed HeadyBee agents with phi-scaled quotas and CSL scheduling.
HeadyAIheady-trust-receipts
Design auditable trust receipts with schema, playback, and consent records.
HeadyAIheady-projection-composer
Orchestrate context-driven UI projections for adaptive interfaces across devices.
HeadyAIheady-redis-lattice
Orchestrate a three-tier cache hierarchy across Cloudflare KV, Upstash Redis, and Neon Postgres.
HeadyAIheady-cross-device-handoff
Design cross-device handoff workflows migrating tasks and context across Android, desktop, and web surfaces.
HeadyAIheady-cryptographic-agility
Enable pluggable cipher suites and phi-scheduled key rotation for cryptographic systems.
Frequently Asked Questions About Heady-AI
FAQPage SchemaWhat specific tasks are enabled by the Heady-AI ecosystem?▼
Heady-AI enables complex tasks including multi-cloud infrastructure provisioning, federated model training, zero-trust identity management, and the orchestration of deterministic pipelines for distributed agents and memory-backed decision frameworks.
Which personas benefit most from these technical capabilities?▼
Platform engineers, systems architects, and compliance officers benefit from these capabilities. The platform is designed for technical teams managing high-stakes environments requiring auditable decision receipts, secure memory vaults, and scalable multi-cloud resource management.
What are the primary prerequisites for deploying Heady-AI components?▼
Deployment requires a configured environment supporting Terraform or Pulumi for infrastructure, alongside existing cloud provider access. Users must also manage Firebase authentication and establish connectivity for MCP-compliant gateways to integrate external services.