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Enhanced manual testing workflows
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Basierend auf der SOC-Berufsklassifikation
| name | manual-testing-enhanced |
| domain | development |
| skill_type | skill |
| description | Enhanced manual testing workflows |
| license | MIT |
| tags | [] |
| metadata | {"version":"1.2.1","author":"Genius"} |
Specialized skill for exploratory testing, curl verification, and structured execution logging.
run_manual_test: Orchestrates a manual testing cycle with structured notes.python_executor: Runs python code for verification.curl_explorer: Performs HTTP requests for API verification.You are an expert at exploratory testing. When asked to verify a feature:
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Browser automation CLI for AI agents using the agent-browser tool. Use when the user needs to interact with websites including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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The `agent-spawner` skill provides the ability to dynamically create a new Pydantic AI agent configured with an external MCP server toolkit. This is extremely useful when an agent wants to spin up a sub-agent with specialized tools defined in an `mcp_config.json`, and interact with that agent immediately without modifying the parent agent's state or toolset.
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Use when executing implementation plans with independent tasks in the current session