skills.rest
lemony-ai
lemony-aiOFFICIAL
Explore all skills by this author →
𝕏@SaschaBuehrleGitHub

cascadeflow

Route OpenClaw chat requests through domain-aware drafter/verifier cascades.

4.0k|927|Updated Oct 24, 2025
Search Tags:#latency#cost#openclaw#provider-setup#domain-routing#cascadeflow
One-click install
npx skills add https://github.com/lemony-ai/cascadeflow --skill cascadeflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cascadeflow
Source: https://github.com/lemony-ai/cascadeflow/tree/main/examples/integrations/openclaw/cascadeflow-clawhub
Command: npx skills add https://github.com/lemony-ai/cascadeflow --skill cascadeflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

CascadeFlow solves the challenge of high operating costs and latency in multi-domain AI tasks by routing chat completions through cascaded, domain-aware models with OpenClaw-native event handling and a minimal setup that supports quick health checks.

Core Features & Use Cases

  • Domain-aware model cascading: route to specialized drafter/verifier pairs per domain (coding, web, reasoning) to balance cost and quality.
  • OpenClaw-native event routing: leverage metadata.method and metadata.event to optimize routing for operational vs user tasks.
  • Quick setup and health checks: simple local or hosted deployment with a health check and a single chat call to verify readiness.

Quick Start

Or ask your OpenClaw agent to configure CascadeFlow as a custom provider with OpenClaw-native events and domain routing.

Frequently Asked Questions about cascadeflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce latency and cost for multi-domain OpenClaw chat requests?▼

Domain-aware model cascading reduces latency and cost by routing OpenClaw chat requests through specialized drafter and verifier pairs, balancing quality and expense per domain like coding or reasoning.

What is domain-aware cascading for AI model routing?▼

Domain-aware cascading is a routing mechanism that steers chat completions to specialized models based on domain signals, applying cascading checks and verification to optimize cost and quality.

How do I set up provider configuration and health checks for OpenClaw-native routing?▼

You can set up provider configuration and health checks by deploying CascadeFlow locally or hosted, running a health check, and making a single chat call to verify readiness and provider connectivity.

Can I route operational tasks and user tasks differently in OpenClaw?▼

Yes, OpenClaw-native event routing leverages metadata.method and metadata.event signals to optimize routing, distinguishing operational tasks from user tasks to apply appropriate domain models.

Does CascadeFlow support per-preset provider configuration for domain routing?▼

Yes, CascadeFlow enforces per-preset provider configurations and health checks while exposing open provider endpoints and slash commands for quick domain-routing integration.

What are the limitations of using drafter and verifier cascades for chat completions?▼

Drafter and verifier cascades require proper provider configuration and health checks to function, and routing effectiveness depends on accurate domain signal availability within OpenClaw-native events.

Related Skills

Explore More Software Engineering Skills→
oabdelmaksoudoabdelmaksoud
4

openclaw-settings

Configure OpenClaw runtime behavior via a centralized openclaw.json file.

Community
Intermediate
framersaiframersai

healthcheck

Probe endpoints to validate uptime, latency, DNS, and TLS validity.

Official
Advanced
antonyfmunozantonyfmunoz

flask

Verify HMAC-SHA256 signatures and dispatch Flask webhook events by type.

Community
Intermediate
antonyfmunozantonyfmunoz

openrouter

Route LLM chat completions through an OpenAI-compatible gateway with provider failover.

Community
Intermediate