Audit Wenlan pending surfaces for revisions, captures, and orphan wikilinks.
npx skills add https://github.com/7xuanlu/wenlan --skill review-7xuanlu
Please help me install this Agent Skill. Skill: review Source: https://github.com/7xuanlu/wenlan/tree/main/plugin/skills/review Command: npx skills add https://github.com/7xuanlu/wenlan --skill review-7xuanlu
This Skill provides a guided, high-signal audit of Wenlan's pending surfaces to surface pending revisions, captures, and orphan wikilinks for timely action.
Invoke /review to start a deep audit of pending items, then use /review captures or /review revisions as guided to process memories and revisions.
High-intent search queries and answers about installing and using this skill.
To audit pending memory revisions, invoke a deep audit of your workspace's pending surfaces to surface unconfirmed captures and orphan wikilinks for actionable review.
You can accept or dismiss pending memory captures by applying per-item operations such as confirm_memory, forget, accept_revision, and dismiss_revision during the active workspace audit workflow.
A pending surface audit is a guided inspection of unconfirmed memories, pending revisions, and orphan wikilinks to provide clear next steps and context-rich handoffs for downstream workflows.
Yes, the memory audit workflow supports per-item operations including forget and dismiss_revision, allowing you to remove or reject pending items directly during the workspace inspection.
Yes, you can scope the audit by using guided commands to specifically process pending captures or pending revisions, allowing targeted actionable review across the active workspace.
simonconway1979Loads project briefing and next steps for AI sessions, selecting from saved projects or portfolio items.
CygnusfearCreate modular Obsidian-compatible markdown wikis for project plans.
evolution-foundationConsolidate end-of-day activity into a daily log from memory, logs, meetings, tasks, and Git changes.
AuraHQ-aiAutomate local memory-bench iterations for Cursor Cloud Agents against Neon DB.
