{"enrichment":{"faq":[{"a":"Prompt Improver refines testing prompts by evaluating task clarity, investigation depth, and verification steps. It applies transformation rules to strengthen your prompts, ensuring they follow investigation-first principles and include appropriate verification checks before execution. This approach helps AI systems understand test requirements more precisely and catch edge cases earlier.","q":"How do I improve prompts for testing with prompt-improver?"},{"a":"Prompt Improver optimizes coding prompts through systematic evaluation of task clarity, scope control, and investigation depth. It transforms prompts to strengthen implementation, debugging, refactoring, and code review tasks by adding verification steps and ensuring investigation-first principles are applied. The skill helps developers write clearer, more actionable prompts that yield better AI-assisted results.","q":"What makes prompt-improver optimize prompts for coding tasks?"},{"a":"Yes. Prompt Improver enhances code review prompts by refining task clarity, adding verification steps, and controlling scope. It applies transformation rules that strengthen prompts for review tasks, ensuring they follow investigation-first principles. This helps reviewers ask AI systems more specific questions about code quality, maintainability, and potential issues.","q":"Can prompt-improver enhance prompts for code review?"},{"a":"Prompt Improver teaches investigation-first principles, scope control, and verification-step inclusion for software development. It demonstrates how to evaluate task clarity and depth before execution, apply transformation rules to strengthen prompts, and structure prompts for debugging, refactoring, testing, and implementation tasks. These practices help developers write more effective AI prompts consistently.","q":"What prompt engineering best practices does prompt-improver teach?"},{"a":"Prompt Improver adds verification and scope control to existing prompts by evaluating current task clarity and investigation depth, then applying targeted transformation rules. It strengthens prompts by inserting verification checks before execution and clarifying scope boundaries. This ensures AI systems validate assumptions and stay focused on the intended task.","q":"How does prompt-improver add verification to existing code prompts?"},{"a":"Prompt Improver is licensed under Apache-2.0, allowing free use, modification, and distribution with proper attribution. This open license supports collaborative development and integration into other software development tools and workflows.","q":"What is prompt-improver licensed under?"}],"shadow_tags":["prompt-engineering","code-quality","ai-optimization","developer-workflow","structured-thinking","verification-focused","anti-hallucination","task-clarity","best-practices"],"summary_rewrite":"Prompt Improver refines code-related prompts by evaluating task clarity, investigation depth, verification steps, and scope control. It applies transformation rules to strengthen prompts for implementation, debugging, refactoring, code review, and testing tasks. The skill ensures prompts follow investigation-first principles and include appropriate verification checks before execution."},"files":[{"bytes":5020,"path":"plugins/beagle-core/skills/prompt-improver/SKILL.md","sha256":"191352455401bc79ab2cc82bfec8a4515624cfa50a4a490e48ec6d78f324fb36","url":"https://skillfed.io/files/existential-birds/beagle/prompt-improver/760356d3/SKILL.md"}],"id":"existential-birds/beagle/prompt-improver","links":{"html":"https://skillfed.io/existential-birds/beagle/prompt-improver","md":"https://skillfed.io/existential-birds/beagle/prompt-improver.md","repo":"https://github.com/existential-birds/beagle"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":10,"language":"TypeScript","last_updated":"2026-07-21","license":"Apache-2.0","name":"prompt-improver","publisher":"existential-birds","stars":74},"relations":{"similar":[{"id":"existential-birds/beagle/combine-code-review"},{"id":"existential-birds/beagle/urlsession-code-review"},{"id":"existential-birds/beagle/swift-code-review"},{"id":"existential-birds/beagle/agent-architecture-analysis"},{"id":"existential-birds/beagle/llm-judge"},{"id":"existential-birds/beagle/strategy-review"},{"id":"existential-birds/beagle/commit-push"},{"id":"existential-birds/beagle/skill-builder"},{"id":"existential-birds/beagle/adr-decision-extraction"},{"id":"existential-birds/beagle/create-pr"}]},"slug":{"owner":"existential-birds","repo":"beagle","skill":"prompt-improver"},"version":"760356d3"}