What problem does it solve?
Dormant GitHub repositories lose momentum when their docs, model references, and metadata go stale, making the project harder to discover and use.
Core Features & Use Cases
- Selects a high-potential dormant repo by scoring watched repositories with stars and days of dormancy, then skips repos recently revived and ineligible repos.
- Audits for the most visible “stale signals” such as outdated AI model references, missing Quick Start/Installation or demo assets, weak badges/metadata, and simple community issues that can be resolved with a small README clarification or tweak.
- Creates exactly one targeted change per run (one PR) focused on maintenance rather than new features, with a fallback API update when PRs aren’t possible.
- Drafts a revival announcement and logs the outcome so the operator can measure what was fixed and whether it improved perceived freshness.
Use case: You maintain a list of popular but inactive repos; this Skill automatically finds the best candidate and applies a single high-impact doc or metadata improvement to signal continued maintenance.
Quick Start
Use the skill to revive a dormant watched repository by letting it run on its configured schedule.