agentleFS
RandyRawgustRandyRawgust/ai-knowledge-base-template/.claude/skills/revive/SKILL.md

revive

Skill1 starsChanged 6 months agoMITView on GitHub

Scan every project in 02 - Projects/ (and follow path: frontmatter to on-disk location), check git activity, surface dormant projects with one-page resurrection plans. Use when Andy says revive, resurrect, dormant projects, what projects could I pick back up, find stalled work.

5 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use docs-loop, full-loop and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • GeiserXSkill

    docs-loop

    Use when the user asks to audit docs, check documentation for stale claims, or verify docs against the code.

    Also in 3 projects that use this

  • GeiserXSkill

    full-loop

    Drive a repository to done with sergio-loop, then keep improving it with refine-loop at a descending theta. Use only when the user explicitly invokes full-loop.

    Also in 3 projects that use this

  • joris887Skill

    refine-loop

    Use when the user wants iterative self-improvement on a deliverable (document, implementation, prompt, design) until completion criteria are met.

    Also in 3 projects that use this

  • timurgaleevSkill

    kb-review

    Review a Bedrock Knowledge Base or RAG pipeline: chunking, retrieval quality, recall@5 and cost per query.

    Also in 3 projects that use this

  • assisjpSkill

    file-pr

    Prepare and open or update an authorized pull request with a concise problem-first description and verifiable evidence. Use when the user asks to create, file, open, or update a PR. Do not use merely to review a diff or when publication is not authorized.

    Also in 3 projects that use this

  • +7 more from GeiserX

The file

We split this skill into the rules it gives an agent

11 rules. 0 are common, 7 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the pointer note

    line 28
  2. Very specific:

    Check for README.md, ROADMAP.md, NEXT-SESSION-HANDOFF.md — these are resurrection material

    line 32
  3. Distinctive:

    Look for tests / scripts that might still run

    line 33
  4. Very specific:

    Write a revive report to 01 - Daily Notes/<YYYY-MM-DD> - Revive Report.md:

    line 56
  5. Distinctive:

    Don't auto-resume — Andy chooses what to pick up

    line 97
  6. Very specific:

    If Andy picks a candidate, hand off to /project-scaffolder if scaffolding is needed, or just open the project's path

    line 98
  7. Distinctive:

    Don't propose reviving archived projects unless Andy explicitly asks

    line 102
  8. Distinctive:

    Don't auto-delete stub pointer notes — surface them, let Andy decide

    line 103
  9. Distinctive:

    Don't grade projects by line count — small-but-shipped beats big-but-stalled

    line 104
  10. Very specific:

    Don't ignore the path: frontmatter — projects live on disk, not in the vault

    line 105
  11. Distinctive:

    Don't run on every project list at once if there are >20 — paginate the report

    line 106

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Revive

Inspired by the REVIVE archetype from the /goal video. Walks every project in the vault, follows the frontmatter path: field to its on-disk location, checks git activity + remaining tests + last-edited dates, and surfaces dormant projects with concrete one-page resurrection plans.

When to use

Triggers: revive, resurrect, dormant projects, what projects could I pick back up, find stalled work, what have I been ignoring.

Best run quarterly or when Andy is between major sprints and wants to scan for next-up candidates.

Load

  • 02 - Projects/ - all project pointer notes (each has path: frontmatter)
  • Projects-Index.md - the auto-rolled list
  • CLAUDE.md - drive map for context on where projects live
  • For each project: the on-disk folder per path: field

Run

Phase 0 — Inventory

List every 02 - Projects/<category>/<project>.md with: status (from frontmatter), category, path on disk.

Phase 1 — Per-project scan

For each project:

  • Read the pointer note
  • Visit path: location on disk
  • git log -1 for last commit date
  • Count files in the project folder (rough scope signal)
  • Check for README.md, ROADMAP.md, NEXT-SESSION-HANDOFF.md — these are resurrection material
  • Look for tests / scripts that might still run

Phase 2 — Classify

ClassificationCriteria
ActiveFrontmatter status: active AND last commit within 30 days
Recently dormantLast commit 30-90 days ago. Easy revival.
Cold dormantLast commit 90-365 days ago. Resurrection takes context-loading effort.
ArchivedFrontmatter status: archived OR no commits in >1 year. Leave alone unless Andy asks.
StubPointer note exists but on-disk path is empty / missing. Either delete the stub or scaffold.

Phase 3 — Resurrection plan (recently/cold dormant only)

For each dormant candidate, produce a one-paragraph plan:

  • State at pause — what was the last thing being worked on (from last commit message + latest README/ROADMAP)
  • First move to resume — the single most useful 30-minute action to get unstuck
  • What's at risk if not revived — does this depend on something that's bit-rotting?
  • Suggested model + skill — /goal if the resumption is iterative; direct work if it's a single step

Output

Write a revive report to 01 - Daily Notes/<YYYY-MM-DD> - Revive Report.md:

---
type: revive-report
created: <MM-DD-YY>
projects_scanned: <count>
active: <count>
recently_dormant: <count>
cold_dormant: <count>
archived: <count>
stubs: <count>
tags: [revive, projects]
---

# Revive Report -- <MM-DD-YY>

## Recommended pickups (ordered by ease + value)

### 1. <project-name>
- **Status:** recently dormant (last commit MM-DD-YY)
- **State at pause:** <one line>
- **First move:** <30-min action>
- **Risk:** <low/medium/high>
- **Suggested approach:** <model + skill>

### 2. <project-name>
...

## Cold dormant (revival possible but costly)
- <project>: <reason it might still matter>

## Stubs to resolve
- <project>: pointer note at <path> but on-disk path missing. Delete or scaffold?

## Leave alone (archived)
- <project>: <reason>

After

  1. Surface the top 1-3 pickup candidates with their first moves
  2. Don't auto-resume — Andy chooses what to pick up
  3. If Andy picks a candidate, hand off to /project-scaffolder if scaffolding is needed, or just open the project's path
  4. Append Activity Log row

Don't

  • Don't propose reviving archived projects unless Andy explicitly asks
  • Don't auto-delete stub pointer notes — surface them, let Andy decide
  • Don't grade projects by line count — small-but-shipped beats big-but-stalled
  • Don't ignore the path: frontmatter — projects live on disk, not in the vault
  • Don't run on every project list at once if there are >20 — paginate the report

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.