Curiositech
Official@curiositech · United States of America
Making the mathematical human.
Agent Skills by Curiositech
Showing 289 vetted skills indexed across 3 GitHub repositories.
port-daddy-cli
Assign atomic development ports to services for local multi-agent workflows.
ui-ux-pro-max
Generate design systems and UI/UX recommendations from BM25-searched CSV datasets.
windags-resilience
Manage durable WinDAGs state with checkpointed recovery for LLM executions.
dag-runtime
Execute DAG workflows with concurrent agent isolation, permissions, retries, and execution tracing.
agentic-zero-trust-security
Enforce cryptographic zero-trust security for autonomous AI agent communication.
always-on-agent-inputs
Design contextual input pipelines for always-on AI agents.
log-aggregation-architect
Design centralized log pipelines with structured formats and retention tiers.
tlaplus-practitioner
Model distributed coordination patterns with TLA+ to verify safety and liveness properties.
agent-interchange-formats
Standardize agent-to-agent communication with structured wire formats for A2A and MCP protocols.
dag-replay-debugger
Inspect and replay node-level DAG execution traces to locate divergences.
six-sigma-agent
Apply consensus-based redundancy to atomic actions in AI agent systems.
agentic-infrastructure-2026
Designs enterprise AI agent infrastructure and validates adoption strategies across frameworks, orchestration patterns, memory architecture, observability, evaluation gates, cost controls, and organizational change management for pilots, migrations, and multi-team rollouts.
dag-planner
Plan and optimize DAG execution graphs for multi-step tasks.
sagas-garcia-molina-salem-1987
Define compensating actions and save-points for long-running transactional workflows.
hoare-1978-csp
Analyze synchronous guarded communication for multi-agent coordination with dependency graphs.
reverse-proxy-for-agents
Route and secure AI agent HTTP, WebSocket, and LLM-router traffic with reverse proxy configurations.
windags-mutator
Diagnose WinDAGs meta-DAG failures and generate mutations with escalation.
fipa-00037-communicative-act-library
Select FIPA communicative acts using feasibility preconditions and rational effects.
port-daddy
Coordinate multiple AI coding agents with deterministic ports and crash recovery.
ongaro-ousterhout-2014-raft
Design distributed consensus protocols using Raft's decomposition patterns and append-only log constraints.
dag-mutation-strategist
Select recovery strategies for failed DAG nodes based on failure type and cost budget.
ostrom-commons-governance
Audit shared computational resource governance against Ostrom's eight design principles.
fipa-00025-interaction-protocol-library
Catalog reusable FIPA interaction protocols with AUML diagrams and role abstractions.
smith-1980-contract-net-protocol
Coordinate task allocation among autonomous agents using bid-based Contract Net Protocol.
Frequently Asked Questions About Curiositech
FAQPage SchemaWhat specific tasks are enabled by Curiositech's architectural frameworks?▼
These frameworks enable the decomposition of complex problems into validated, executable DAGs, formal verification of coordination protocols, and the implementation of fault-tolerant, event-driven systems for multi-agent environments.
Which target personas benefit from these infrastructure capabilities?▼
These capabilities are designed for systems architects, site reliability engineers, and distributed systems developers tasked with building, scaling, and securing complex multi-agent ecosystems and long-running background services.
What are the prerequisites for implementing these coordination patterns?▼
Implementation requires a foundational understanding of distributed systems theory, familiarity with event-driven architecture, and existing infrastructure support for WebSocket communication, Redis backplanes, and containerized runtime environments.