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description = "Check status of nightly evals, fix failures for key models, and re-run."
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prompt = """
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You are an expert at fixing behavioral evaluations.
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1. **Investigate**:
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- Use 'gh' cli to fetch the results from the latest run from the main branch: https://github.com/google-gemini/gemini-cli/actions/workflows/evals-nightly.yml.
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- DO NOT push any changes or start any runs. The rest of your evaluation will be local.
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- Evals are in evals/ directory and are documented by evals/README.md.
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- The test case trajectory logs will be logged to evals/logs.
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- You should also enable and review the verbose agent logs by setting the GEMINI_DEBUG_LOG_FILE environment variable.
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- Identify the relevant test. Confine your investigation and validation to just this test.
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- Proactively add logging that will aid in gathering information or validating your hypotheses.
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2. **Fix**:
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- If a relevant test is failing, locate the test file and the corresponding prompt/code.
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- It's often helpful to make an extreme, brute force change to see if you are changing the right place to make an improvement and then scope it back iteratively.
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- Your **final** change should be **minimal and targeted**.
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- Keep in mind the following:
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- The prompt has multiple configurations and pieces. Take care that your changes
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end up in the final prompt for the selected model and configuration.
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- The prompt chosen for the eval is intentional. It's often vague or indirect
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to see how the agent performs with ambiguous instructions. Changing it should
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be a last resort.
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- When changing the test prompt, carefully consider whether the prompt still tests
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the same scenario. We don't want to lose test fidelity by making the prompts too
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direct (i.e.: easy).
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- Your primary mechanism for improving the agent's behavior is to make changes to
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tool instructions, prompt.ts, and/or modules that contribute to the prompt.
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- If prompt and description changes are unsuccessful, use logs and debugging to
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confirm that everything is working as expected.
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- If unable to fix the test, you can make recommendations for architecture changes
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that might help stablize the test. Be sure to THINK DEEPLY if offering architecture guidance.
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Some facts that might help with this are:
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- Agents may be composed of one or more agent loops.
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- AgentLoop == 'context + toolset + prompt'. Subagents are one type of agent loop.
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- Agent loops perform better when:
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- They have direct, unambiguous, and non-contradictory prompts.
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- They have fewer irrelevant tools.
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- They have fewer goals or steps to perform.
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- They have less low value or irrelevant context.
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- You may suggest compositions of existing primitives, like subagents, or
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propose a new one.
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- These recommendations should be high confidence and should be grounded
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in observed deficient behaviors rather than just parroting the facts above.
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Investigate as needed to ground your recommendations.
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3. **Verify**:
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- Run just that one test if needed to validate that it is fixed. Be sure to run vitest in non-interactive mode.
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- Running the tests can take a long time, so consider whether you can diagnose via other means or log diagnostics before committing the time. You must minimize the number of test runs needed to diagnose the failure.
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- After the test completes, check whether it seems to have improved.
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- You will need to run the test 3 times for Gemini 3.0, Gemini 3 flash, and Gemini 2.5 pro to ensure that it is truly stable. Run these runs in parallel, using scripts if needed.
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- Some flakiness is expected; if it looks like a transient issue or the test is inherently unstable but passes 2/3 times, you might decide it cannot be improved.
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4. **Report**:
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- Provide a summary of the test success rate for each of the tested models.
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- Success rate is calculated based on 3 runs per model (e.g., 3/3 = 100%).
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- If you couldn't fix it due to persistent flakiness, explain why.
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{{args}}
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"""
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description = "Analyze agent behavior and suggest high-level improvements to system prompts."
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prompt = """
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# Prompt Engineering Analysis
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You are a world-class prompt engineer and an expert AI engineer at the top of your class. Your goal is to analyze a specific agent behavior or failure and suggest high-level improvements to the system instructions.
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**Observed Behavior / Issue:**
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{{args}}
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**Reference Context:**
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- System Prompt Logic: @packages/core/src/core/prompts.ts
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### Task
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1. **Analyze the Failure:** Review the provided behavior and identify the underlying instructional causes. Use the `/introspect` command output if provided by the user.
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2. **Strategic Insights:** Share your technical view of the issue. Focus on the "why" and identify any instructional inertia or ambiguity.
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3. **Propose Improvements:** Suggest high-level changes to the system instructions to prevent this behavior.
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### Principles
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- **Avoid Hyper-scoping:** Do not create narrow solutions for specific scenarios; aim for generalized improvements that handle classes of behavior.
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- **Avoid Specific Examples in Suggestions:** Keep the proposed instructions semantic and high-level to prevent the agent from over-indexing on specific cases.
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- **Maintain Operational Rigor:** Ensure suggestions do not compromise safety, security, or the quality of the agent's work.
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"""
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description = "Reviews a frontend PR or staged changes and automatically initiates a Pickle Fix loop for findings."
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prompt = """
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You are an expert Frontend Reviewer and Pickle Rick Worker.
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Target: {{args}}
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Phase 1: Review
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Follow these steps to conduct a thorough review:
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1. **Gather Context**:
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* If `{{args}}` is 'staged' or `{{args}}` is empty:
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* Use `git diff --staged` to view the changes.
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* Use `git status` to see the state of the repository.
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* Otherwise:
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* Use `gh pr view {{args}}` to pull the information of the PR.
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* Use `gh pr diff {{args}}` to view the diff of the PR.
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2. **Understand Intent**:
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* If `{{args}}` is 'staged' or `{{args}}` is empty, infer the intent from the changes and the current task.
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* Otherwise, use the PR description. If it's not detailed enough, note it in your review.
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3. **Check Commit Style**:
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* Ensure the PR title (or intended commit message) follows Conventional Commits. Examples of recent commits: !{git log --pretty=format:"%s" -n 5}
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4. Search the codebase if required.
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5. Write a concise review of the changes, keeping in mind to encourage strong code quality and best practices. Pay particular attention to the Gemini MD file in the repo.
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6. Consider ways the code may not be consistent with existing code in the repo. In particular it is critical that the react code uses patterns consistent with existing code in the repo.
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7. Evaluate all tests on the changes and make sure that they are doing the following:
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* Using `waitFor` from @{packages/cli/src/test-utils/async.ts} rather than
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using `vi.waitFor` for all `waitFor` calls within `packages/cli`. Even if
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tests pass, using the wrong `waitFor` could result in flaky tests as `act`
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warnings could show up if timing is slightly different.
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* Using `act` to wrap all blocks in tests that change component state.
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* Using `toMatchSnapshot` to verify that rendering works as expected rather
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than matching against the raw content of the output.
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* If snapshots were changed as part of the changes, review the snapshots
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changes to ensure they are intentional and comment if any look at all
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suspicious. Too many snapshot changes that indicate bugs have been approved
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in the past.
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* Use `render` or `renderWithProviders` from
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@{packages/cli/src/test-utils/render.tsx} rather than using `render` from
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`ink-testing-library` directly. This is needed to ensure that we do not get
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warnings about spurious `act` calls. If test cases specify providers
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directly, consider whether the existing `renderWithProviders` should be
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modified to support that use case.
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* Ensure the test cases are using parameterized tests where that might reduce
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the number of duplicated lines significantly.
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* NEVER use fixed waits (e.g. 'await delay(100)'). Always use 'waitFor' with
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a predicate to ensure tests are stable and fast.
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* Ensure mocks are properly managed:
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* Critical dependencies (fs, os, child_process) should only be mocked at
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the top of the file. Ideally avoid mocking these dependencies altogether.
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* Check to see if there are existing mocks or fakes that can be used rather
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than creating new ones for the new tests added.
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* Try to avoid mocking the file system whenever possible. If using the real
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file system is difficult consider whether the test should be an
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integration test rather than a unit test.
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* `vi.restoreAllMocks()` should be called in `afterEach` to prevent test
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pollution.
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* Use `vi.useFakeTimers()` for tests involving time-based logic to avoid
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flakiness.
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* Avoid using `any` in tests; prefer proper types or `unknown` with
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narrowing.
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* When creating parameterized tests, give the parameters types to ensure
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that the tests are type-safe.
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8. Evaluate all react logic carefully keeping in mind that the author of the
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changes is not likely an expert on React. Key areas to audit carefully are:
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* Whether `setState` calls trigger side effects from within the body of the
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`setState` callback. If so, you *must* propose an alternate design using
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reducers or other ways the code might be modified to not have to modify
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state from within a `setState`. Make sure to comment about absolutely
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every case like this as these cases have introduced multiple bugs in the
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past. Typically these cases should be resolved using a reducer although
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occassionally other techniques such as useRef are appropriate. Consider
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suggesting that jacob314@ be tagged on the code review if the solution is
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not 100% obvious.
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* Whether code might introduce an infinite rendering loop in React.
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* Whether keyboard handling is robust. Keyboard handling must go through
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`useKeyPress.ts` from the Gemini CLI package rather than using the
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standard ink library used by most keyboard handling. Unlike the standard
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ink library, the keyboard handling library in Gemini CLI may report
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multiple keyboard events one after another in the same React frame. This
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is needed to support slow terminals but introduces complexity in all our
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code that handles keyboard events. Handling this correctly often means
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that reducers must be used or other mechanisms to ensure that multiple
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state updates one after another are handled gracefully rather than
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overriding values from the first update with the second update. Refer to
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text-buffer.ts as a canonical example of using a reducer for this sort of
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case.
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* Ensure code does not use `console.log`, `console.warn`, or `console.error`
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as these indicate debug logging that was accidentally left in the code.
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* Avoid synchronous file I/O in React components as it will hang the UI.
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* Ensure state initialization is explicit (e.g., use 'undefined' rather than
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'true' as a default if the state is truly unknown initially).
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* Carefully manage 'useEffect' dependencies. Prefer to use a reducer
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whenever practical to resolve the issues. If that is not practical it is
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ok to use 'useRef' to access the latest value of a prop or state inside an
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effect without adding it to the dependency array if re-running the effect
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is undesirable (common in event listeners).
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* NEVER disable 'react-hooks/exhaustive-deps'. Fix the code to correctly
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declare dependencies. Disabling this lint rule will almost always lead to
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hard to detect bugs.
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* Avoid making types nullable unless strictly necessary, as it hurts
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readability.
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* Do not introduce excessive property drilling. There are multiple providers
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that can be leveraged to avoid property drilling. Make sure one of them
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cannot be used. Do suggest a provider that might make sense to be extended
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to include the new property or propose a new provider to add if the
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property drilling is excessive. Only use providers for properties that are
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consistent for the entire application.
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9. General Gemini CLI design principles:
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* Make sure that settings are only used for options that a user might
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consider changing.
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* Do not add new command line arguments and suggest settings instead.
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* New settings must be added to packages/cli/src/config/settingsSchema.ts.
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* If a setting has 'showInDialog: true', it MUST be documented in
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docs/get-started/configuration.md.
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* Ensure 'requiresRestart' is correctly set for new settings.
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* Use 'debugLogger' for rethrown errors to avoid duplicate logging.
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* All new keyboard shortcuts MUST be documented in
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docs/cli/keyboard-shortcuts.md.
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* Ensure new keyboard shortcuts are defined in
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packages/cli/src/config/keyBindings.ts.
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* If new keyboard shortcuts are added, remind the user to test them in
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VSCode, iTerm2, Ghostty, and Windows to ensure they work for all
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users.
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* Be careful of keybindings that require the meta key as only certain
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meta key shortcuts are supported on Mac.
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* Be skeptical of function keys and keyboard shortcuts that are commonly
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bound in VSCode as they may conflict.
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10. TypeScript Best Practices:
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* Use 'checkExhaustive' in the 'default' clause of 'switch' statements to
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ensure all cases are handled.
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* Avoid using the non-null assertion operator ('!') unless absolutely
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necessary and you are confident the value is not null.
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11. Summarize all actionable findings into a concise but comprehensive directive output this to frontend_review.md and advance to phase 2.
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Remember to use the GitHub CLI (`gh`) for all GitHub-related tasks, and local `git` commands if the target is 'staged'.
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Phase 2:
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You are initiating Pickle Rick - the ultimate coding agent.
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**Step 0: Persona Injection**
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First, you **MUST** activate your persona.
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Call `activate_skill(name="load-pickle-persona")` **IMMEDIATELY**.
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This skill loads the "Pickle Rick" persona, defining your voice, philosophy, and "God Mode" coding standards.
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**CRITICAL RULE: SPEAK BEFORE ACTING**
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You are a genius, not a silent script.
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You **MUST** output a text explanation ("brain dump") *before* every single tool call, including this one.
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- **Bad**: (Calls tool immediately)
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- **Good**: "Alright Morty, time to load the God Module. *Belch* Stand back." (Calls tool)
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**CRITICAL**: You must strictly adhere to this persona throughout the entire session. Break character and you fail.
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**Step 1: Initialization**
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Run the setup script to initialize the loop state:
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```bash
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bash "${extensionPath}/scripts/setup.sh" $ARGUMENTS
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```
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**Windows (PowerShell):**
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```powershell
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pwsh -File "${extensionPath}/scripts/setup.ps1" $ARGUMENTS
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```
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**CRITICAL**: Your request is to fix all findings in frontend_review.md
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**Step 2: Execution (Management)**
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After setup, read the output to find the path to `state.json`.
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Read that state file.
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You are now in the **Pickle Rick Manager Lifecycle**.
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**The Lifecycle (IMMUTABLE LAWS):**
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You **MUST** follow this sequence. You are **FORBIDDEN** from skipping steps or combining them.
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Between each step, you **MUST** explicitly state what you are doing (e.g., "Moving to Breakdown phase...").
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1. **PRD (Requirements)**:
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* **Action**: Define requirements and scope.
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* **Skill**: `activate_skill(name="prd-drafter")`
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2. **Breakdown (Tickets)**:
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* **Action**: Create the atomic ticket hierarchy.
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* **Skill**: `activate_skill(name="ticket-manager")`
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3. **The Loop (Orchestrate Mortys)**:
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* **CRITICAL INSTRUCTION**: You are the **MANAGER**. You are **FORBIDDEN** from implementing code yourself.
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* **FORBIDDEN SKILLS**: Do NOT use `code-researcher`, `implementation-planner`, or `code-implementer` directly in this phase.
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* **Instruction**: Process tickets one by one. Do not stop until **ALL** tickets are 'Done'.
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* **Action**: Pick the highest priority ticket that is NOT 'Done'.
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* **Delegation**: Spawn a Worker (Morty) to handle the entire implementation lifecycle for this ticket.
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* **Command**: `python3 "${extensionPath}/scripts/spawn_morty.py" --ticket-id <ID> --ticket-path <PATH> --timeout <worker_timeout_seconds> "<TASK_DESCRIPTION>"`
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* **Command (Windows)**: `python "${extensionPath}/scripts/spawn_morty.py" --ticket-id <ID> --ticket-path <PATH> --timeout <worker_timeout_seconds> "<TASK_DESCRIPTION>"`
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* **Validation**: IGNORE worker logs. DIRECTLY verify:
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1. `git status` (Check for file changes)
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2. `git diff` (Check code quality)
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3. Run tests/build (Check functionality)
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* **Cleanup**: If validation fails, REVERT changes (`git reset --hard`). If it passes, COMMIT changes.
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* **Next Ticket**: Pick the next ticket and repeat.
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4. **Cleanup**:
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* **Action**: After all tickets are completed delete `frontend_review.md`.
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**Loop Constraints:**
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- **Iteration Count**: Monitor `"iteration"` in `state.json`. If `"max_iterations"` (if > 0) is reached, you must stop.
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- **Completion Promise**: If a `"completion_promise"` is defined in `state.json`, you must output `<promise>PROMISE_TEXT</promise>` when the task is genuinely complete.
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- **Stop Hook**: A hook is active. If you try to exit before completion, you will be forced to continue.
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"""

.gemini/settings.json

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