← ClaudeAtlas

delegate-coding-agentlisted

Route coding work to another local coding-agent CLI through the llm-provider MCP server. Use when a task benefits from a powerful model for difficult reasoning or a faster, lower-cost model for bounded implementation, tests, investigation, or review.
manishiitg/llm-provider-mcp · ★ 1 · AI & Automation · score 67
Install: claude install-skill manishiitg/llm-provider-mcp
# Delegate Coding Agent Choose the smallest capable model, delegate a precise task, and verify the result in the host session. ## Choose a Route Call `list_coding_agents`, then call `list_coding_agent_models` for the selected provider. Treat the live catalog and the user's preference as authoritative; model names and account availability can change. | Route | Use for | Current examples | | --- | --- | --- | | Powerful | Ambiguous architecture, cross-module debugging, security-sensitive work, difficult planning, or final review of high-risk changes | Codex `gpt-5.5`; Claude `claude-opus-5`; Pi `google/gemini-3.1-pro-preview` or `zai/glm-5.3` | | Balanced | Normal feature work, refactors, tool-heavy implementation, bug investigation, and tests | Codex `gpt-5.4`; Claude `claude-sonnet-5`; Cursor `composer-2.5`; Pi `google/gemini-3.7-flash`, `minimax/MiniMax-M3`, or `moonshotai/kimi-k3` | | Fast | Mechanical edits, focused UI iteration, simple test fixes, repository search, summaries, and other bounded work with objective checks | Codex `gpt-5.3-codex-spark`; Claude `claude-haiku-4-5-20251001`; Pi `google/gemini-3.5-flash-lite` | Use these as routing hints, not benchmark rankings. Prefer `auto` when the user has no model preference and provider-native routing is more useful than a fixed model. ## Delegate 1. Decide whether delegation is worth the startup and verification overhead. Keep tiny tasks in the host session. 2. Select a provider and model from the live tools. Use