lisa-use-the-product

name	lisa-use-the-product
description	Shared methodology for actually…

Use the Product

The one idea

Every product has a consumer-facing interface. To evaluate a product you (1) detect that interface, (2) resolve where you're allowed to drive it and how much you may change, and (3) drive it as the real consumer would — through the project's personas when it has them. This skill owns steps 1–4 below; the caller decides what to do with what you find (exploratory-qa files tickets, product-walkthrough grounds planning).

Driving the product means interacting with it. Static route scans, HTTP fetches, screenshots-alone, and reading the code are supporting evidence only — never a substitute for actually using it.

1. Detect the product type & interface

Infer from the repo; if genuinely ambiguous, ask one concise question.

Signals	Type	Consumer-facing interface
vite/next/angular/svelte + index.html, DOM UI	DOM web app	the rendered UI in a real browser
API server (nest/express/fastify/serverless handlers), OpenAPI, no frontend	HTTP / API backend	the API endpoints
phaser/pixi/canvas game	Canvas game	the canvas + input (keyboard/pointer), read visually
cdk.json / Terraform / IaC	IaC / CDK	the resources it provisions (+ synth output)
bin/ CLI or published library, no server	CLI / library	the commands / public API

2. Resolve the environment & mutation policy — the gate

Read the exploration block from .lisa.config.json (a repo-local config overrides a global one):

"exploration": {
  "default": "<env-name>",              // which env to use when none is passed
  "environments": {
    "<name>": {
      "url": "https://dev.example.io",  // web/API target (omit for local CLI/game)
      "provision": true,                // IaC/ephemeral: stand up, then tear down
      "mutation": "forbidden | read-only | full",
      "identity": "<test-account ref>", // which login to use (env var / 1Password ref)
      "prodMutationAck": "<one sentence>" // REQUIRED to allow `full` on a production-named env
    }
  }
}

Resolve the target env: explicit argument → default → infer. Then the mutation level governs everything:

• read-only — only non-mutating interactions: read endpoints (GET), view UI without submitting, cdk synth/diff, --help/dry-run. Never create / edit / delete.
• full — create / edit / delete allowed, but only as the identity test account and under Mutation Discipline (§5).
• forbidden — do not exercise this environment at all.

Safety rules — enforced regardless of config:

• No exploration block, or an unconfigured env → treat as read-only. Never mutate without an explicit policy.
• A production-named env (prod / production) defaults to forbidden. It may be raised to full only when a written prodMutationAck justification is present (this is how a single-environment app — e.g. a local-only game whose only "env" is production and whose mutations are the user's own local save — deliberately opts in). A bare production: { "mutation": "full" } with no prodMutationAck is downgraded to forbidden, and you warn.
• Never sign in as a real user or an admin — only the identity test account.
• If evaluating something requires a mutation the policy forbids, stop at that boundary and report it — never escalate your own permissions.

3. Discover personas & subagents — soft-detect

Look for the project's personas: wiki/personas/** (target-player archetypes, stakeholders) and persona subagents (e.g. the lisa-phaser target-player / player-advocate agents).

• Present → drive the product through each relevant persona: adopt the archetype's constraints (device, session length, goals, patience, genre-literacy) and evaluate as them; run each archetype for breadth.
• Absent → drive as a single generic representative end user of the app's stated audience, and say so.

4. Drive the product — per type

Apply the interface's read-only actions always; the mutate actions only when the policy is full.

• DOM web app — a real browser (Playwright MCP). Land cold on the entry page, then click / type / select / submit visible controls and attempt real tasks; sweep viewport widths. (The caller's lens supplies the specific things to look for.)
• HTTP / API backend — the consumer is a client, not a browser. Read-only: read the OpenAPI/routes and call safe GETs (curl/httpie). Mutate: exercise representative POST/PUT/DELETE flows with test data as the identity; check status codes, payload shapes, and error responses.
• Canvas game — a real browser, but the UI is drawn to a canvas, not the DOM. Boot it (e.g. bun run dev + Playwright), drive via keyboard/pointer into the canvas, and read state visually via screenshots (not the accessibility tree). Mutation is usually local save state. Judge readability, game-feel, and input responsiveness — not DOM breakpoints.
• CLI / library — the interface is the command / public API. Read-only: --help, read-only commands, dry-runs. Mutate: run state-changing commands with disposable inputs.
• IaC / CDK — the "user" is whoever consumes the resources the stack provisions (plus the operator). Read-only (default): cdk synth → read the generated template; cdk diff vs. the deployed env; verify the resources, IAM, and outputs express what a consumer would expect. Flag over-broad IAM, missing/opaque outputs, resources that don't serve their stated purpose, and drift. Mutate (only when mutation: "full" and provision: true on an ephemeral/sandbox env): cdk deploy to the sandbox → recurse into the API/web playbook against the provisioned resources → cdk destroy. Never deploy to a real account without explicit sandbox-provisioning config.

5. Mutation Discipline — only when the policy is full

A real user creates, edits, and deletes things — exercise those flows when, and only when, the policy allows and always as the identity account.

• Use unique names with a clear prefix such as qa- or codex-.
• Before mutating, identify the cleanup path. After mutating, make a best effort to clean up, then verify it. If cleanup is unavailable, that itself is a finding.
• Avoid destructive bulk actions unless the account/data is clearly disposable.
• Record every mutation performed, cleanup attempts, and any residue left behind.

What you return

Structured, raw observations for the caller — what you did, as whom (which persona / generic user), where (env + mutation level), what you saw, and what you could not reach and why (especially policy boundaries you stopped at). You do not file tickets or write plans; the caller does.