Feat : Skills

skills/9router-chat/SKILL.md

@@ -0,0 +1,71 @@
+---
+name: 9router-chat
+description: Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
+---
+
+# 9Router — Chat
+
+Requires `NINEROUTER_URL` (and `NINEROUTER_KEY` if auth enabled). See https://raw.githubusercontent.com/decolua/9router/main/app/skills/9router/SKILL.md for setup.
+
+## Endpoints
+
+- `POST $NINEROUTER_URL/v1/chat/completions` — OpenAI format
+- `POST $NINEROUTER_URL/v1/messages` — Anthropic format
+
+## Discover models
+
+```bash
+curl $NINEROUTER_URL/v1/models | jq '.data[].id'
+```
+
+Combos (e.g. `vip`, `mycodex`) auto-fallback through multiple providers.
+
+## OpenAI format
+
+```bash
+curl -X POST $NINEROUTER_URL/v1/chat/completions \
+  -H "Authorization: Bearer $NINEROUTER_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"model":"openai/gpt-5","messages":[{"role":"user","content":"Hi"}],"stream":false}'
+```
+
+JS (OpenAI SDK):
+
+```js
+import OpenAI from "openai";
+const client = new OpenAI({ baseURL: `${process.env.NINEROUTER_URL}/v1`, apiKey: process.env.NINEROUTER_KEY });
+const res = await client.chat.completions.create({
+  model: "openai/gpt-5",
+  messages: [{ role: "user", content: "Hi" }],
+  stream: true,
+});
+for await (const chunk of res) process.stdout.write(chunk.choices[0]?.delta?.content || "");
+```
+
+## Anthropic format
+
+```bash
+curl -X POST $NINEROUTER_URL/v1/messages \
+  -H "Authorization: Bearer $NINEROUTER_KEY" \
+  -H "anthropic-version: 2023-06-01" \
+  -H "Content-Type: application/json" \
+  -d '{"model":"cc/claude-opus-4-7","max_tokens":1024,"messages":[{"role":"user","content":"Hi"}]}'
+```
+
+## Response shape
+
+OpenAI (`/v1/chat/completions`):
+```json
+{ "id": "chatcmpl-...", "object": "chat.completion", "model": "openai/gpt-5",
+  "choices": [{ "index": 0, "message": { "role": "assistant", "content": "Hello!" }, "finish_reason": "stop" }],
+  "usage": { "prompt_tokens": 8, "completion_tokens": 2, "total_tokens": 10 } }
+```
+
+Streaming (`stream:true`) emits SSE: `data: {choices:[{delta:{content:"..."}}]}\n\n` ... `data: [DONE]\n\n`.
+
+Anthropic (`/v1/messages`):
+```json
+{ "id": "msg_...", "type": "message", "role": "assistant", "model": "cc/claude-opus-4-7",
+  "content": [{ "type": "text", "text": "Hello!" }],
+  "stop_reason": "end_turn", "usage": { "input_tokens": 8, "output_tokens": 2 } }
+```