Company SOP + runbook authoring with 5W2H completeness checks. NOT personal PKM (that's llm-wiki). NOT engineering-specific runbooks. Direct invocation of the k
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-claude-skills-aaa6796708fa ,按照其中的说明把「cs-knowledge-ops」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
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Run the knowledge-ops skill on this input:
$ARGUMENTS
sop_generator.py — Standard Operating Procedure with 5W2H scaffolding (Who/What/When/Where/Why/How/How-much). Industry tuning --profile {ops,support,finance,hr,it,regulated} for compliance-tier scaffolding.
runbook_validator.py — Runbook completeness check: every step has owner, expected duration, observable success/failure signal, rollback path. Flags ambiguity ("verify the service is up" → "what's the verification command?").
kb_ingester.py — Markdown KB ingestion: cross-link detection, glossary drift, orphan-page detection.
engineering/llm-wiki — personal PKM (your second brain). Knowledge-ops is the company wiki.engineering-team/runbook-generator — engineering-specific runbooks (system ops). Knowledge-ops is org-wide.project-management/* — Jira/Confluence delivery tracking, not authoring.business-operations/skills/process-mapper (sibling) — process design, not documentation.