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playwright-test

Write a playwright test, make sure it runs, and is not flaky.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=posthog-posthog-agents-skills-playwright-test-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name playwright-test description Write a playwright test, make sure it runs, and is not flaky. allowed-tools Bash, Read, Edit, Write, Glob, Grep, Agent, mcp__playwright__* Read @playwright/README.md for best practices, gotchas, and how to run tests. Rules Follow the best practices in the README strictly After UI interactions, always assert on UI changes, do not assert on network requests resolving Keep looping until all tests pass. Do not give up or ask the user for help. You must resolve every failure yourself. Instructions You are to plan an end to end playwright test for a feature. Step 1: Plan the test(s) to be done. Use the Playwright MCP tools (e.g., mcp__playwright__browser_navigate , mcp__playwright__browser_click , mcp__playwright__browser_screenshot ) to interact with the browser and plan your tests. After your exploration, present the plan to me for confirmation or any changes. Step 2: Implement the test plan Write the tests, making sure to use common patterns used in neighbouring files. Run the tests with BASE_URL='http://localhost:8010' pnpm --filter=@posthog/playwright exec playwright test <file name> --retries 0 --workers 3 Debug any failures. Look at screen shots, if needed launch the playwright mcp skills to interact with the browser. Go back to step 1 after attempting a fix. Step 3: Ensure no flaky tests After all tests pass in the file, run with --repeat-each 10 added to the command. This will surface any flaky tests. If any test fails across the 10 runs, treat it as a real failure: go back to Step 2, debug, fix, and re-run Step 3. Do not proceed to Step 4 until every run of every test passes. Step 4: Report Once all tests pass, output a single line: Testing Complete
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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