feat: LLM-powered model auto-configuration and improved onboarding

Major changes:
- Add autoconfigure_models tool for intelligent model assignment
- Implement LLM-based model selection using openclaw agent
- Improve onboarding flow with better model access checks
- Update README with clearer installation and onboarding instructions

Technical improvements:
- Add model-fetcher utility to query authenticated models
- Add smart-model-selector for LLM-driven model assignment
- Use session context for LLM calls during onboarding
- Suppress logging from openclaw models list calls

Documentation:
- Add prerequisites section to README
- Add conversational onboarding example
- Improve quick start flow

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

README.md

@@ -6,12 +6,21 @@
 
 **Turn any group chat into a dev team that ships.**
 
-DevClaw is a plugin for [OpenClaw](https://openclaw.ai) that turns your orchestrator agent into a development manager. It hires developers, assigns tasks, reviews code, and keeps the pipeline moving — across as many projects as you have group chats. [Get started →](#getting-started)
+DevClaw is a plugin for [OpenClaw](https://openclaw.ai) that turns your orchestrator agent into a development manager. It hires developers, assigns tasks, reviews code, and keeps the pipeline moving — across as many projects as you have group chats.
+
+**Prerequisites:** [OpenClaw](https://openclaw.ai) must be installed and running.
 
 ```bash
 openclaw plugins install @laurentenhoor/devclaw
 ```
 
+Then start onboarding by chatting with your agent in any channel:
+```
+"Hey, can you help me set up DevClaw?"
+```
+
+[Read more on onboarding →](#getting-started)
+
 ---
 
 ## What it looks like
@@ -386,6 +395,11 @@ Or for local development:
 openclaw plugins install -l ./devclaw
 ```
 
+Start onboarding:
+```bash
+openclaw chat "Help me set up DevClaw"
+```
+
 ### Set up through conversation
 
 The easiest way to configure DevClaw is to just talk to your agent: