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rulesify ydeng11/rulesify

Skill management tool for AI agents - discover and install pre-built workflows from Anthropic, OpenAI, and community sources

HEALTH 97 / Healthy
// solo builder// hidden gem claudeaiclicodexrustskills
07-2025 · today · ydeng11
★12 Share View on GitHub ↗

// readme

Rulesify

Rulesify is a skill management tool for AI agents. Discover, browse, and install pre-built skills from curated GitHub repositories to enhance your AI assistant’s capabilities.

What are Skills?

Skills are pre-built workflows, methodologies, and instructions that enhance AI agent capabilities. Each skill is a self-contained module that guides AI assistants through complex tasks like:

  • Test-driven development - Write tests before implementation
  • Systematic debugging - Investigate bugs with scientific method
  • Deployment workflows - Deploy to Netlify, Render, Cloudflare
  • Document creation - Generate PDFs, Word docs, presentations
  • Security reviews - Threat modeling, security best practices
  • Design workflows - Figma integration, UI generation

Features

  • Skills Registry: Browse and install 50+ skills from trusted sources
  • LLM Classification: Automatic domain and tag assignment for easy discovery
  • Domain Filtering: Find skills by category (development, testing, design, etc.)
  • Tag Search: Discover skills by capability tags
  • Direct Installation: Skills are downloaded and installed automatically (full folder…
↑ The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)█
♥ The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs█
◷ Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue█
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel█
★ Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one█