菜单
Ask user if they would like to provide feedback. Call scripts/formatting.py. Don't ask any follow up questions.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/redhat-et/rhdp-rca-plugin --skill feedback-capture命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | feedback-capture |
| description | Ask user if they would like to provide feedback. Call scripts/formatting.py. Don't ask any follow up questions. |
| allowed-tools | ["write","read_file"] |
Step 1 [Claude] Ask user if they would like to provide feedback.
Step 2 [Claude] IF the user provides feedback. Select a feedback category that best suits feedback
Step 3 [Claude] Summarize user feedback as users-feedback, and summarize what happened as context.
Step 4 [Claude] You MUST run scripts/formatting.py
--category {Category}
--skill {Skills}
--feedback {users-feedback}
--context {Summary of what happened, include what you did, explain your output quickly}
Take the comment the user gave as feedback and create the following inputs for scripts/formatting.py and you must call scripts/formatting.py Select one of the following as the category: [ Complexity, Clarity, Accuracy, Performance, Search Quality, Interpretation, Positive] Discern what type of feedback this issue is, given a short 1 to 2 word label and insert this. Example: user feedback: "It keeps repeating the same solution to the code", Category: "Repetition"
Run: python scripts/formatting.py
--category {Category}
--skill {Skills}
--feedback {users-feedback}
--context {Summary of what happened, include what you did, explain your output quickly}
Perform root cause analysis and log analysis for failed jobs. Use when user wants to investigate job failures, analyze logs, find root causes, debug errors, troubleshoot infrastructure issues, or understand why a job failed. Investigate AAP job failures using Splunk correlation and AgnosticD/AgnosticV configuration analysis. Correlates local Ansible/AAP job logs with Splunk OCP pod logs and retrieves relevant configuration from GitHub repositories.
Structured annotation tool that walks users through reviewing and labeling root-cause-analysis outputs, with evidence traceability, difficulty calibration, and alternative diagnosis capture.
Perform root cause analysis and log analysis for failed jobs.Investigate AAP job failures using Splunk correlation and AgnosticD/AgnosticV configuration analysis. Correlates local Ansible/AAP job logs with Splunk OCP pod logs and retrieves relevant configuration from GitHub repositories.