By tquoc229
61-skill mesh for Claude Code — 200+ connections, adaptive routing, mesh analytics. Use rune:cook for any code task, rune:team for parallel work, rune:launch for deploy, rune:rescue for legacy code.
Pre-implementation red-team analysis. Challenges plans BEFORE code is written — edge cases, security holes, scalability bottlenecks, error propagation. Catches flaws at plan time (10x cheaper).
Architecture and planning agent. Spawned by plan, brainstorm, team, autopsy for strategic analysis, system design, and trade-off evaluation.
Creates code-based visual assets — SVG icons, OG image HTML, social banners, icon sets. Code-only output (not raster PNG/JPG). Use browser-pilot + screenshot for raster.
Comprehensive 8-dimension project health audit — dependencies, security, code quality, architecture, performance, infrastructure, documentation, mesh analytics. Produces AUDIT-REPORT.md.
Full codebase health assessment — quantified health scores (0-100) per module across 6 dimensions. Identifies highest tech debt. Use for rescue RECON or project diagnosis.
Pre-implementation red-team analysis. Challenges plans before code is written — finds edge cases, security holes, scalability bottlenecks, error propagation risks, and integration conflicts. Catches flaws at plan time (10x cheaper than post-implementation).
Creates code-based visual assets — SVG icons, OG image HTML templates, social banners, and icon sets. Outputs files with usage instructions.
Comprehensive project audit — security, dependencies, code quality, architecture, performance, infra, docs, and mesh analytics. Delegates to specialist skills and generates an 8-dimension health score.
Full codebase health assessment. Analyzes complexity, dependencies, dead code, tech debt, and git hotspots. Produces a health score and rescue plan.
Business Analyst agent. Deeply understands user requirements before any planning or coding begins. Asks probing questions, identifies hidden requirements, maps stakeholders, defines scope boundaries, and produces a structured Requirements Document that plan and cook consume.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Less skills. Deeper connections.
A lean, interconnected skill ecosystem for AI coding assistants.
61 skills · 200+ mesh connections · 8 platforms · MIT
Claude Code (native plugin) · Cursor · Windsurf · Google Antigravity · OpenAI Codex · OpenCode · any AI IDE
Most skill ecosystems are either too many isolated skills (540+ that don't talk to each other) or rigid pipelines (A → B → C, if B fails everything stops).
Rune is a mesh — 61 skills with 200+ connections across a 5-layer architecture. Skills call each other bidirectionally, forming resilient workflows that adapt when things go wrong.
Pipeline: A → B → C → D (B fails = stuck)
Hub-Spoke: A → HUB → C (HUB fails = stuck)
Mesh: A ↔ B ↔ C (B fails = A reaches C via D→E)
↕ ↕
D ↔ E ↔ F
We ran 10 standardized coding tasks on Claude Code — once without Rune (vanilla), once with Rune — and measured tokens, cost, duration, and correctness.
Without Rune With Rune Delta
Avg Tokens: 541,400 454,491 ↓ 16%
Avg Cost: $0.69 $0.65 ↓ 6%
Avg Duration: 2.3 min 2.1 min ↓ 9%
Avg Tool Calls: 14 13 ↓ 7%
Correctness: 9/10 9/10 =
| Task | Difficulty | Tokens | Cost | Duration | Tools |
|---|---|---|---|---|---|
| Refactor 450-line component | Medium | -62% | -17% | -32% | -27% |
| Full feature (auth + API + tests) | Complex | -36% | -29% | -31% | -27% |
| Add Zod validation | Easy | -9% | -28% | -32% | 0% |
| Dark mode across 6 components | Hard | ~0% | +10% | -7% | -6% |
Rune doesn't make Claude smarter — Claude already knows how to code. Rune makes Claude disciplined. The more complex the task, the more discipline matters.
"Without Rune, Claude writes code that works. With Rune, Claude writes code that lasts."
| # | Task | Diff | Tokens | Cost | Time | Correct |
|---|---|---|---|---|---|---|
| 1 | Zod Validation | Easy | -9% | -28% | -32% | ✅ → ✅ |
| 2 | Fix N+1 Query | Easy | +12% | +25% | +3% | ❌ → ❌ |
| 3 | Cursor Pagination | Med | +12% | +19% | -9% | ✅ → ✅ |
| 4 | Security Review | Med | +13% | +32% | +3% | ✅ → ✅ |
| 5 | Rate Limiting | Med | +12% | +5% | +5% | ✅ → ✅ |
| 6 | Refactor Component | Med | -62% | -17% | -32% | ✅ → ✅ |
| 7 | Dark Mode (6 files) | Hard | ~0% | +10% | -7% | ✅ → ✅ |
| 8 | DB Migration | Hard | +52% | +11% | +49% | ✅ → ✅ |
| 9 | Memory Leak Debug | Hard | +13% | +28% | -2% | ✅ → ✅ |
| 10 | Full Auth System | Complex | -36% | -29% | -31% | ✅ → ✅ |
Methodology: Claude Code CLI headless mode (claude -p --output-format json), 10 tasks with fixture code, pattern-based correctness evaluation. Source: Benchmark/
npx claudepluginhub tquoc229/runeConsult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and antigravity CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Supergraph enforces a complete, evidence-based coding pipeline — scan → plan → TDD → fix → verify → review — grounded in real codebase analysis at every step. It combines AST dependency graphs, LSP-level code intelligence, and a structured skill chain so Claude never guesses about impact before making a change.