Quickstart: agents
Install the RouterGrowth skill so any coding agent can discover and run capabilities.
RouterGrowth is built to be called by agents. The integration is one file: SKILL.md teaches an agent the CLI, the HTTP interface, the spending rules (inspect before run, cap with max_cost, ask before batches over about $1) and free strategy playbooks it can run today.
One-line install
Tell your agent:
Set up https://www.routergrowth.com/SKILL.md
The skill contains its own install instructions, so the agent persists it in the right place for its harness:
| Platform | Where the skill lives |
|---|---|
| Claude Code | ~/.claude/skills/routergrowth/SKILL.md (all projects) or .claude/skills/routergrowth/SKILL.md |
| Codex | one pointer line in AGENTS.md (or ~/.codex/AGENTS.md) |
| Cursor | .cursor/rules/routergrowth.mdc |
| Gemini CLI | one pointer line in GEMINI.md |
| Cline | one pointer line in .clinerules |
| GitHub Copilot | one pointer line in .github/copilot-instructions.md |
| OpenClaw | ~/.openclaw/skills/routergrowth/SKILL.md |
| Hermes | skills/routergrowth/SKILL.md in the workspace |
| Anything else | wherever persistent instructions live, or a one-line pointer to the SKILL.md URL |
Then give the agent a key: mint one on the dashboard under API keys, and the agent stores it with routergrowth keys add -k <key> -l main (or uses it as the Bearer token over HTTP). Never commit the key.
Docs your agent can read
Every page of this documentation has a markdown twin at the same URL plus .md (this page: /docs/quickstart-agents.md), and /docs/llms.txt indexes them all. The site-wide index at /llms.txt covers the catalog, providers and pricing.
So an agent needs no scraping and no browser: fetch llms.txt, follow the markdown, call the API.
MCP
Prefer native tools over a skill file? Connect the MCP server at https://api.routergrowth.com/mcp: discover, inspect, run, runs and balance as MCP tools, authenticated with the same key.
Spending rules the skill enforces
- Always
inspectand show the user the price before a billablerun. - Respect
routing.max_coston every call. - Stop and ask when a batch would exceed about $1.
- Never present sandbox mock data as real data.
Next
- Quickstart: CLI: the commands the agent will run.
- API overview: the HTTP surface behind them.
Reading this as an agent? This page as markdown: /docs/quickstart-agents.md · every page: /docs/llms.txt