Survey ObsidianPersonal vault activity and autonomously advance the highest-leverage project.
npx skills add https://github.com/dakotahp/dotfiles --skill end-week
Please help me install this Agent Skill. Skill: end-week Source: https://github.com/dakotahp/dotfiles/tree/main/dot_config/claude/skills/end-week Command: npx skills add https://github.com/dakotahp/dotfiles --skill end-week
Helps a vault-based knowledge worker run a concise weekly review that surveys recent activity, selects the highest-leverage project, and produces focused work and a weekly summary without ongoing user interaction.
Run the end-week skill to review the most recently completed Sunday-to-Sunday week in your ObsidianPersonal vault, pick a project, produce work notes tagged agent-work, and write the weekly summary.
High-intent search queries and answers about installing and using this skill.
Automating an Obsidian weekly review involves surveying daily distillations, project Index files, and inbox stubs to score and select the highest-leverage project. The end-week skill autonomously reads vault activity, creates agent-work notes, and updates weekly archive notes without ongoing interaction.
Project prioritization via neglect duration scores projects by how long they have been silent alongside strategic priority and phase readiness. This knowledge management technique flags archive candidates for long-silent projects and selects the most high-leverage task to advance during a weekly review.
Yes, an autonomous agent can create work notes in an Obsidian vault by reading project context and performing optional web research. The agent creates structured Markdown notes tagged agent-work with an empty Feedback section and appends a Last worked entry to the project Index.md file.
No, the weekly review workflow does not require manual project selection. An autonomous agent surveys past vault activity, scores projects using strategic priority and neglect signals, and independently selects the highest-leverage project to produce focused work notes and decision briefs.
Running an autonomous weekly review requires an ObsidianPersonal vault with daily distillations, strategic Life Domains, an Avoidance Radar, project Index files, and inbox stubs. The agent needs read and write access, file modification timestamps for velocity signals, and Markdown note creation capabilities.
During an automated knowledge management review, long-silent projects are identified through neglect duration scoring and flagged as archive candidates. The weekly output note summarizes these domain gaps, archive candidates, and decisions needed so neglected projects are systematically surfaced.
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