9c226ec898
- Introduced `structured-autonomy-generate.prompt.md` for generating implementation plans from PRs. - Added `structured-autonomy-implement.prompt.md` to execute implementation plans step-by-step. - Created `structured-autonomy-plan.prompt.md` for collaborative project planning and outlining development steps. - Implemented prompts for suggesting relevant GitHub Copilot agents, chat modes, collections, instructions, and prompts from the awesome-copilot repository. - Developed `update-implementation-plan.prompt.md` for updating existing implementation plans with new requirements and structured output.
20 lines
1.1 KiB
Markdown
20 lines
1.1 KiB
Markdown
---
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agent: agent
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description: 'Generate a Playwright test based on a scenario using Playwright MCP'
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tools: ['changes', 'search/codebase', 'edit/editFiles', 'fetch', 'problems', 'runCommands', 'runTasks', 'runTests', 'search', 'search/searchResults', 'runCommands/terminalLastCommand', 'runCommands/terminalSelection', 'testFailure', 'playwright/*']
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model: 'Claude Sonnet 4.5'
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---
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# Test Generation with Playwright MCP
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Your goal is to generate a Playwright test based on the provided scenario after completing all prescribed steps.
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## Specific Instructions
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- You are given a scenario, and you need to generate a playwright test for it. If the user does not provide a scenario, you will ask them to provide one.
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- DO NOT generate test code prematurely or based solely on the scenario without completing all prescribed steps.
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- DO run steps one by one using the tools provided by the Playwright MCP.
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- Only after all steps are completed, emit a Playwright TypeScript test that uses `@playwright/test` based on message history
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- Save generated test file in the tests directory
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- Execute the test file and iterate until the test passes
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