By chaien0609
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.
Architecture and planning agent. Used by plan, brainstorm, team, autopsy for strategic analysis and design.
Creates code-based visual assets — SVG icons, OG images, social banners.
Comprehensive project health audit across 8 dimensions.
Full codebase health assessment. Analyzes complexity, dependencies, dead code, tech debt.
Creative ideation and solution exploration. Generates multiple approaches with trade-offs.
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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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 chaien0609/runeTooling and developer productivity experts - CLI tools, documentation, DX optimization
Research, search, and analysis specialists - market research, competitive analysis, trend forecasting
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Testing, security, and code quality experts - code review, penetration testing, QA automation
Actionbook MCP server for up-to-date browser automation. Get verified CSS/XPath selectors for any website directly into your agent context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok 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
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.