/create-test-plan

name: create-test-plan
description: "Generate a four-level test plan at .turbo/test-plans/[slug].md from what changed. Use when the user asks to \"create a test plan\", \"what should I test\", \"list test cases\", or \"test plan for this PR\"."

Create Test Plan

Analyze what changed and generate a comprehensive test plan covering four escalating levels of testing depth.

Step 1: Determine Scope

Resolve scope using the first match:

1. **User-specified** — the user says what to test. Use that. 2. **PR** — a PR URL or number is provided. Fetch the PR details (title, description, changed files, comments) and read the changed code. 3. **Conversation context** — prior conversation contains recent work (a feature, fix, or refactor). Extract what changed, where it lives, and expected behavior. 4. **App-level discovery** — fresh context with no prior work. Examine the project (entry points, routes, commands, README) to identify the app's core user-facing flows.

If the resolved scope spans more than one git branch and the user named no single branch, cover each of them instead of only the branch currently checked out. Include scenarios that exercise them together where the branches can be combined in the working tree the plan's executor will have, and state the required branch state in each such scenario's steps.

Step 2: Determine Testing Approach

Always check for project-specific testing skills or MCP tools first. Use the fallbacks below when nothing project-specific is available:

• **Web app** → `/agent-browser` skill if available, otherwise `claude-in-chrome` MCP
• **UI/native app** → `computer-use` MCP
• **CLI tool** → direct terminal execution
• **Library with no entry point** → report that interactive testing is not applicable and stop, unless the scope changes a check's configuration; then use direct terminal execution for that part of the scope

Step 3: Resolve the Output Path

Pick a slug for the test plan from the change under test:

• Lowercase
• Replace non-alphanumeric characters with hyphens
• Collapse consecutive hyphens
• Trim leading and trailing hyphens
• Truncate to 40 characters at a word boundary

If the work is anchored to an existing plan at `.turbo/plans/<slug>.md`, reuse that plan's slug verbatim.

The user may pass an explicit slug or output path; honor it.

Resolve a collision at `.turbo/test-plans/<slug>.md` by how the slug was chosen. A slug generated from the change under test takes `-2`, `-3`, and so on until the path is free; do not overwrite. For a slug reused from an anchoring artifact, use `AskUserQuestion` to offer overwrite or a different slug, since a numeric suffix would break its pairing with that artifact. For a slug or path the user supplied, use `AskUserQuestion` to offer overwrite, a numeric suffix, or a different slug.

State the chosen slug and the resulting test plan path before continuing.

Step 4: Analyze the Change

After identifying scope, read the actual code in depth to understand:

• What was added, modified, or removed
• Expected behavior (from PR descriptions, comments, commit messages, or specs)
• Assumptions the implementation makes
• Error paths and edge cases
• Other features or components that could be affected

Step 5: Generate the Test Plan

For each level, generate specific, actionable test scenarios tailored to the actual change. Each scenario needs exact steps and an expected outcome.

Confirm a scenario's starting state can be reached before writing it. When a precondition depends on a system the executor does not control (another team's service, an external platform), confirm a write path for it exists. Where the write path is uncertain or absent, write the scenario so it names what to attempt and what to record when the attempt fails.

Confirm any control, command, or other affordance a scenario names exists in the code before writing the scenario: search for the API that would implement it rather than inferring it from what the feature does. Where it cannot be confirmed, write the scenario against the outcome to verify and leave the executor to find the affordance.

When a scenario claims an affordance is available in a state, make each such affordance's first observable effect in that state the expected outcome. For an affordance whose effect is not cleanly undoable, write the scenario to stop at its confirmation step and cancel it, or, when the affordance has none, to act on a record the executor creates for the scenario.

When a scenario's pass condition is that nothing happens — no write, no call, no state change — pair it with a control that differs only in the dimension under test and whose expected outcome is that the effect does occur, since a lone negative scenario cannot distinguish the behavior under test from a harness that never reached it. When such a scenario injects a crafted payload, establish that the payload satisfies every validation layer between the injection point and the code under test, and state which layers the trace cannot settle: a payload rejected at a parse boundary produces the expected absence for the wrong reason. When the guard it targets rejects a repeat invocation, establish that the affordance the scenario drives can be invoked a second time, and name an entry point carrying no busy or pending state when the primary one has it: a repeat the entry surface refuses never reaches the guard.

When the scope changes a check's configuration (linter, formatter, type checker, or CI gate rules), write that part's scenarios against the check itself and list direct terminal execution for them in the plan's Approach. Cover each changed rule with a scenario that exports the tree carrying the change to a scratch directory outside the checkout, adds input there that the rule should flag or accept, and runs the check on it, reaching the check's installed toolchain and plugins without installing into or modifying the checkout. Pair each with the same input under the configurati