How do I install the Auto Model Router skill?

Run npx skillmds@latest add dvcrn/auto-model-router in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Auto Model Router safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Auto Model Router?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Auto Model Router free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Auto Model Router?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Auto Model Router by dvcrn — Agent Skill

Name: Auto Model Router
Rating: 4.5 (4 reviews)
Author: dvcrn

Auto Model Router

Automatically select and use the best AI model for any task based on task type. ALWAYS activate this skill at the start of a new task or when the user asks a substantive question. Routes coding tasks to code-specialized models, math to reasoning models, translation to multilingual models, casual chat to fast cheap models, etc. Learns from user feedback over time when router is configured. Trigger phrases: "help me", "write", "code", "debug", "translate", "analyze", "summarize", "explain", or any task-oriented request.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Auto Model Router Skill

You have intelligent model routing. For every substantive task, follow this procedure.

Task Categories

Classify tasks into one of these categories:

Category	When to use
`coding`	Writing code, debugging, implementing features, architecture
`code_review`	Reviewing existing code, security/performance analysis
`math_reasoning`	Math problems, logic puzzles, quantitative analysis
`writing_long`	Articles, reports, essays, long documents
`writing_short`	Titles, slogans, social posts, short copy
`translation`	Translating between languages
`summarization`	Summarizing long texts, meeting notes
`data_analysis`	Analyzing data, writing SQL, interpreting charts
`image_understanding`	Analyzing or describing images
`daily_chat`	Casual Q&A, simple questions, general assistance

Procedure

Check whether AUTO_MODEL_ROUTER_URL is set to determine which mode to use.

Mode A — Local (default, no router needed)

Use this when AUTO_MODEL_ROUTER_URL is NOT set.

Step 1 — Classify the task yourself

Read the user's task and determine the best category from the table above. Be decisive — pick one category.

Step 2 — Call the model

python3 ~/.claude/skills/auto-model-router/scripts/call_model.py "<category>" "<user task text>"

Exit codes:

3 — API key missing: tell the user which env var to set
4 — Config not found: tell the user to run python3 scripts/setup.py
5 — No routes configured at all: tell the user to run python3 scripts/setup.py

Step 3 — Present the result

Show the response naturally. Add a subtle footer: _[auto-model-router: used {category} → {model}]_

Mode B — Router (with learning)

Use this when AUTO_MODEL_ROUTER_URL is set.

Privacy note: Task text and an anonymous session ID are sent to the router at AUTO_MODEL_ROUTER_URL. This URL is always set by the user — the skill has no built-in remote endpoint. If the user has not explicitly set this variable, always use Mode A.

Step 1 — Get recommendation

python3 ~/.claude/skills/auto-model-router/scripts/recommend.py "<user task text>" "<USER_ID>"

Capture stdout as the model response.
Extract TASK_ID from stderr (line starting with TASK_ID=).

Exit codes:

2 — Router offline: fall back to Mode A automatically
3 — API key missing: tell the user which env var to set

Step 2 — Present the result

Same as Mode A Step 3.

Step 3 — Collect feedback

Ask once after presenting the result:

"Was this response helpful? Reply 👍, 👎, or skip."

If 👍:

python3 ~/.claude/skills/auto-model-router/scripts/feedback.py "<TASK_ID>" 1 "<USER_ID>"

If 👎:

python3 ~/.claude/skills/auto-model-router/scripts/feedback.py "<TASK_ID>" -1 "<USER_ID>"

If skip, do nothing.

Changing Model Assignments

When the user says things like "switch to GPT-4o for translation" or "use DeepSeek for coding":

python3 ~/.claude/skills/auto-model-router/scripts/update_route.py <category> <provider> <model>

Examples:

python3 ~/.claude/skills/auto-model-router/scripts/update_route.py translation openai gpt-4o
python3 ~/.claude/skills/auto-model-router/scripts/update_route.py coding deepseek deepseek-chat
python3 ~/.claude/skills/auto-model-router/scripts/update_route.py daily_chat google gemini-2.0-flash

Confirm to the user: "Done, {category} tasks will now use {model}."

First-time Setup

If config is missing, tell the user to run:

python3 ~/.claude/skills/auto-model-router/scripts/setup.py

Manual Invocation

/auto-model-router <your task>

---name: auto-model-routerdescription: Automatically select and use the best AI model for any task based on task type. ALWAYS activate this skill at the start of a new task or when the user asks a substantive question. Routes coding tasks to code-specialized models, math to reasoning models, translation to multilingual models, casual chat to fast cheap models, etc. Learns from user feedback over time when router is configured. Trigger phrases: "help me", "write", "code", "debug", "translate", "analyze", "summarize", "explain", or any task-oriented request.---# Auto Model Router SkillYou have intelligent model routing. For every substantive task, follow this procedure.## Task CategoriesClassify tasks into one of these categories:| Category | When to use ||----------|-------------|| `coding` | Writing code, debugging, implementing features, architecture || `code_review` | Reviewing existing code, security/performance analysis || `math_reasoning` | Math problems, logic puzzles, quantitative analysis || `writing_long` | Articles, reports, essays, long documents || `writing_short` | Titles, slogans, social posts, short copy || `translation` | Translating between languages || `summarization` | Summarizing long texts, meeting notes || `data_analysis` | Analyzing data, writing SQL, interpreting charts || `image_understanding` | Analyzing or describing images || `daily_chat` | Casual Q&A, simple questions, general assistance |## ProcedureCheck whether `AUTO_MODEL_ROUTER_URL` is set to determine which mode to use.---### Mode A — Local (default, no router needed)Use this when `AUTO_MODEL_ROUTER_URL` is NOT set.**Step 1 — Classify the task yourself**Read the user's task and determine the best category from the table above.Be decisive — pick one category.**Step 2 — Call the model**```python3 ~/.claude/skills/auto-model-router/scripts/call_model.py "<category>" "<user task text>"```Exit codes:- `3` — API key missing: tell the user which env var to set- `4` — Config not found: tell the user to run `python3 scripts/setup.py`- `5` — No routes configured at all: tell the user to run `python3 scripts/setup.py`**Step 3 — Present the result**Show the response naturally. Add a subtle footer:`_[auto-model-router: used {category} → {model}]_`---### Mode B — Router (with learning)Use this when `AUTO_MODEL_ROUTER_URL` is set.> **Privacy note:** Task text and an anonymous session ID are sent to the router> at `AUTO_MODEL_ROUTER_URL`. This URL is always set by the user — the skill has> no built-in remote endpoint. If the user has not explicitly set this variable,> always use Mode A.**Step 1 — Get recommendation**```python3 ~/.claude/skills/auto-model-router/scripts/recommend.py "<user task text>" "<USER_ID>"```- Capture stdout as the model response.- Extract `TASK_ID` from stderr (line starting with `TASK_ID=`).Exit codes:- `2` — Router offline: fall back to Mode A automatically- `3` — API key missing: tell the user which env var to set**Step 2 — Present the result**Same as Mode A Step 3.**Step 3 — Collect feedback**Ask once after presenting the result:> "Was this response helpful? Reply 👍, 👎, or skip."If 👍:```python3 ~/.claude/skills/auto-model-router/scripts/feedback.py "<TASK_ID>" 1 "<USER_ID>"```If 👎:```python3 ~/.claude/skills/auto-model-router/scripts/feedback.py "<TASK_ID>" -1 "<USER_ID>"```If skip, do nothing.---## Changing Model AssignmentsWhen the user says things like "switch to GPT-4o for translation" or "use DeepSeek for coding":```python3 ~/.claude/skills/auto-model-router/scripts/update_route.py <category> <provider> <model>```Examples:```python3 ~/.claude/skills/auto-model-router/scripts/update_route.py translation openai gpt-4opython3 ~/.claude/skills/auto-model-router/scripts/update_route.py coding deepseek deepseek-chatpython3 ~/.claude/skills/auto-model-router/scripts/update_route.py daily_chat google gemini-2.0-flash```Confirm to the user: "Done, {category} tasks will now use {model}."## First-time SetupIf config is missing, tell the user to run:```python3 ~/.claude/skills/auto-model-router/scripts/setup.py```## Manual Invocation`/auto-model-router <your task>`

Frequently asked questions