By dhardieUpdated 2026-05-117 versions · latest released 2026-02-06llm-supervisor@clawhub_dhardie/llm-supervisor
Task AutomationWorkflow OrchestrationTool Use
According to AlphaMoat, as of 2026-09, LLM Supervisor has 4,710 downloads and 4 stars — ranked #2,016 of 5,078 AI skills overall, and #378 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 132 | 3.9K | 3 | 4 |
| SkillHub ↗ | 771 | 4.7K | 4 | — |
Platforms count differently and update at different times.
When Anthropic or OpenAI returns rate limit or overload errors it tells the user immediately instead of failing silently or retrying endlessly, then asks whether to switch to a local Ollama model and waits for confirmation. Code generation tasks never switch automatically, and only simple queries previously approved may switch without asking. A fallback works only if Ollama is installed and the configured model is available locally; check ollama list before offering or switching.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.7K | — | 4 |
| 2026-08 | 4.1K | +2.5% | 4 |
| 2026-07 | 4.0K | +15.6% | 4 |
| 2026-06 | 3.5K | -7.0% | 3 |
| 2026-05 | 3.8K | — | 4 |
| 2026-03 | 3.4K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: llm-supervisor description: Graceful rate limit handling with Ollama fallback. Notifies on rate limits, offers local model switch with confirmation for code tasks. --- # LLM Supervisor 🔮 Handles rate limits and model fallbacks gracefully. ## Behavior
### On Rate Limit / Overload Errors When I encounter rate limits or overload errors from cloud providers (Anthropic, OpenAI): 1. **Tell the user immediately** — Don't silently fail or retry endlessly 2. **Offer local fallback** — Ask if they want to switch to Ollama 3. **Wait for confirmation** — Never auto-switch for code generation tasks ### Confirmation Required Before using local models for code generation, ask: > "Cloud is rate-limited. Switch to local Ollama (`qwen2.5:7b`)? Reply 'yes' to confirm." For simple queries (chat, summaries), can switch without confirmation if user previously approved. ## Commands ### `/llm status` Report current state: - Which provider is active (cloud/local) - Ollama availability and models - Recent rate limit events ### `/llm switch local` Manually switch to Ollama for the session. ### `/llm switch cloud` Switch back to cloud provider. ## Using Ollama ```bash # Check available models ollama list # Run a query ollama run qwen2.5:7b "your prompt here" # For longer prompts, use stdin echo "your prompt" | ollama run qwen2.5:7b ``` ## Installed Models Check with `ollama list`. Configured default: `qwen2.5:7b` ## State Tracking Track in memory during session: - `currentProvider`: "cloud" | "local" - `lastRateLimitAt`: timestamp or null - `localConfirmedForCode`: boolean Reset to cloud at session start.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.