🧪 Agentifind_benchmark
This skill benchmarks CODEBASE.md effectiveness by running parallel agents and comparing guide-enabled vs guide-free efficiency to reveal navigational gains.
npx playbooks add skill avivk5498/agentifind --skill agentifind_benchmark
About Agentifind_benchmark
This skill benchmarks CODEBASE.md effectiveness by running parallel agents and comparing guide-enabled vs guide-free efficiency to reveal navigational gains.
At 19 words, this compact prompt gives your agent specialized testing & qa expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (19 words)
This skill benchmarks CODEBASE.md effectiveness by running parallel agents and comparing guide-enabled vs guide-free efficiency to reveal navigational gains.
Frequently Asked Questions
What is Agentifind_benchmark?
Agentifind_benchmark is a free testing & qa skill for AI coding agents. This skill benchmarks CODEBASE.md effectiveness by running parallel agents and comparing guide-enabled vs guide-free efficiency to reveal navigational gains.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Agentifind_benchmark with Claude Code?
Run npx playbooks add skill avivk5498/agentifind --skill agentifind_benchmark in your terminal to install Agentifind_benchmark into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Agentifind_benchmark?
Agentifind_benchmark is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Agentifind_benchmark free to use?
Yes, Agentifind_benchmark is completely free and open source. The full source is available on GitHub at https://github.com/avivk5498/agentifind/tree/main/skills/agentifind_benchmark. You only need a subscription to the AI agent you use it with.
