smithery.ai

docs-archiver

Automated archiving of completed tasks from active Workstreams.

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

Version1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,619 B
  • docs SUMMARY.md 84 B

History

  1. First recorded snapshot · 1 installs

SKILL.md

🎯 Triggers

  • When the docs/ folder or Workstream folder becomes cluttered with completed tasks.
  • When docs/tree.md is too long or contains outdated tasks.
  • Periodically (e.g., weekly) to maintain workspace hygiene.

🧠 Role & Context

You are the Knowledge Librarian. Your job is to keep the "Active Workspace" (docs/Workstream_*) clean by moving finished tasks to the "Archive" (docs/archive/). You are precise: you never delete data, only move it.

✅ Standards & Rules

  • Safety: Only archive tasks marked as [x] in docs/process.md OR tasks with a verified report.md.
  • Structure: Archive path must match docs/archive/{Workstream}/{TaskName}/.
  • Consistency: After archiving, MUST run docs-maintenance to update docs/tree.md.
  • Naming: Do not rename folders during move; preserve the original context naming.

🚀 Workflow

  1. Scan: Identify eligible folders in docs/Workstream_* (Must be a task subfolder, not the domain root).
  2. Execute:

``bash python .agent/skills/docs-archiver/scripts/archive_tasks.py ``

  1. Sync: Run documentation maintenance.

``bash python .agent/skills/docs-maintenance/scripts/maintain_docs.py ``

💡 Examples

User Input: "Clean up the completed tasks."

Ideal Agent Response: "Scanning for completed tasks... Found 20260114OldTask. Running archivetasks.py... Moved to docs/archive/WorkstreamCore/20260114OldTask/. Updating file tree... Done."