- 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.
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agent, description, tools, model
| agent | description | tools | model | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| agent | Generate a Playwright test based on a scenario using Playwright MCP |
|
Claude Sonnet 4.5 |
Test Generation with Playwright MCP
Your goal is to generate a Playwright test based on the provided scenario after completing all prescribed steps.
Specific Instructions
- 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.
- DO NOT generate test code prematurely or based solely on the scenario without completing all prescribed steps.
- DO run steps one by one using the tools provided by the Playwright MCP.
- Only after all steps are completed, emit a Playwright TypeScript test that uses
@playwright/testbased on message history - Save generated test file in the tests directory
- Execute the test file and iterate until the test passes