Your agent can ship a working engagement loop this week
Agent-native workflow

From repository to
reward loop.

Streakline gives your coding agent the product context and primitives to draft gamification from the journeys already in your app.

Four reviewable steps

The agent drafts.
You decide.

Repository inspection, economy design, review, and deployment stay separate so nothing reaches production without an explicit approval.

STEP 01

Inspect the repository

Streakline reads routes, event names, and product journeys already in your codebase.

7 user journeys found in src/

ready for the next step

Ways agents connect

Use the interface
your tooling already speaks.

Agent skills
Drop-in skills let Claude and other coding agents wire up the complete loop.
MCP server
Agents inspect schemas and create a reviewable model through Model Context Protocol.
CLI
Initialize, preview, validate, and deploy from local development or CI.
llms.txt
The API and product model are available in a compact agent-readable format.
Typed docs
OpenAPI and examples keep generated integrations inside the supported contract.
One SDK call

Every platform.
One hosted engine.

Your application emits the event. Streakline handles scoring, levels, streaks, achievements, and ranking against the same model.

TypeScript
npm install @streakline/sdk

import { StreaklineServer } from "@streakline/sdk/server";

const streakline = new StreaklineServer({
  clientId: process.env.STREAKLINE_CLIENT_ID!,
  clientSecret: process.env.STREAKLINE_CLIENT_SECRET!,
});

await streakline.createClientCredential({ userId: "user_123" });
What you review

Code, configuration,
and consequences.

The agent returns a source-controlled configuration and an impact preview—not an opaque recommendation in a dashboard.

streakline.config.tsconfig
events: {
  "lesson.completed": {
    points: 10,
    dailyCap: 3,
  },
}
impact previewsafe
1,284 users recalculated
3 level-ups
0 lost event records

ready for review
Ready when you approve

Ship the loop this week.

Give the agent your repository, review the model, and deploy through the hosted engine.