Prompt
Design or improve skills to be reused based on the following data. [input] AI and execution environment to use: Codex desktop app, skills used in local projects Skill Draft and Expected Results: Document Summary Skill Draft and Must-Keep Output Items Conditions to maintain and scope of work: Written in Korean. Existing files are preserved. Provides registration files and verification methods without assuming tools that do not exist. [Tasks to be solved in this skill] Design tests for requests that should call the skill, requests that should not be called, and missing inputs, errors, and borderline cases. Attach inputs, expected actions, and observable acceptance criteria to each case. Do not view changes in expressions with the same meaning as failure. Distinguish between actual execution results and designed tests, and suggest SKILL.md modifications to fix any failures found. [Output for registration] Check the skill format supported by the usage environment and write the entire SKILL.md that can be saved immediately. The name·description should reveal the function and point of use, and the body should include work flow, input, output, exception handling, and completion criteria. Add reference materials, scripts, and templates only when actually needed, and distinguish the path and contents of each file. The registration location and calling method will be guided based on confirmed environmental information. If you can't create or test the file yourself, provide the content and mark it as not running. Do not create tools/paths/installations that you have not confirmed. If important information is missing, only ask questions that will change the outcome first. [Case to be verified] Provide an example request and expected behavior with at least 3 normal, 2 nontarget, 2 missing, and 1 conflicting inputs. Distinguish between the actually performed verification and the proposed verification, and if there is a failure, let me know what needs to be corrected.