SuperSkill

The runtime intelligence layer for AI agent skills.

The Problem

skills.sh solved skill discovery and installation — 90,000+ skills, 40+ agents, one standard. But installation is static. You browse, pick, install, and hope you chose right.

When you have 15 skills installed and say "write tests for my Go API" — which one loads? What about the three competing TDD skills? What if the model's context window can't fit them all?

skills.sh is where you find skills. SuperSkill is what loads the right one at the right time.

How It Works

1. Install skills however you want — npx skills add, manual download, or use the 87 built-in skills
2. Describe your task — "write tests for my Go API"
3. SuperSkill scores, resolves, and loads — trigger-based matching picks the best skill, resolves collisions, respects your context budget

SuperSkill scans your installed skills (from ~/.claude/skills/, ~/.cursor/skills/, etc.), merges them with its built-in catalog, and routes tasks to the best match at runtime.

What SuperSkill Adds

| Layer | What it does | Why you need it | |-------|-------------|----------------| | Router | Task description → best matching skill | No manual browsing or memorizing skill names | | Arbiter | 3 TDD skills installed? Profile picks the winner | Prevents collision chaos and token waste | | Scanner | Discovers installed skills from any source | Works with skills.sh, manual installs, or built-in | | Memory | Remembers activations within a session | No redundant fetches for similar tasks | | Vault | ADRs, learnings, sessions, project context | Persistent knowledge that survives across sessions |

Quick Start

Claude Code Plugin (recommended)

/plugin marketplace add permanu/superskill
/plugin install superskill

Any MCP-compatible tool

npm install -g superskill

Then add as an MCP server:

# Claude Code
claude mcp add superskill -e VAULT_PATH=~/Vaults/ai -- npx -y superskill

# Cursor, Claude Desktop, Codex, Gemini CLI — add to MCP config:

{
  "mcpServers": {
    "superskill": {
      "command": "npx",
      "args": ["-y", "superskill"],
      "env": { "VAULT_PATH": "~/Vaults/ai" }
    }
  }
}

Works with skills.sh

Install skills from the ecosystem, SuperSkill routes to them automatically:

npx skills add anthropics/skills          # Anthropic's official skills
npx skills add affaan-m/everything-claude-code  # ECC skill suite
# SuperSkill discovers and scores these on next activation

Supported AI Tools

| Tool | Setup | Status | |------|-------|--------| | Claude Code | Plugin or MCP | Verified | | Claude Desktop | MCP config | Verified | | Cursor | MCP config | Verified | | Codex CLI | MCP config | Verified | | Gemini CLI | MCP config | Verified | | OpenCode | MCP config | Community | | Crush CLI | MCP config | Community | | Droid | MCP config | Community | | Windsurf | MCP config | Community | | Aider | MCP config | Community | | Continue | MCP config | Community |

Built-in Skill Catalog

<details> <summary>87 skills across 28 domains from 9 repos (click to expand)</summary>

Core Workflow — loaded for every project:

| Domain | Skills | Description | |--------|--------|-------------| | TDD | 8 | Red-green-refactor, Go/Python/Django/Spring/C++ testing, E2E | | Planning | 3 | Implementation planning, CEO/eng review, execution | | Code Review | 4 | PR review, Go review, Python review, feedback workflow | | Debugging | 2 | Systematic debugging, investigation | | Verification | 4 | Build/lint/type gates, Django/Spring verification | | Brainstorming | 2 | Structured ideation, office hours | | Agent Orchestration | 5 | Autonomous loops, RFC pipelines, subagents, parallel dispatch | | Security | 5 | OWASP review, AgentShield scanning, Django/Spring security | | Shipping | 2 | CI/CD, deployment patterns | | Frontend Design | 5 | Anthropic official, Design Taste, Bencium UX, FDP, UI/UX Pro Max | | Git Workflow | 2 | Worktrees, branch management |

Language & Framework — loaded when your stack matches:

| Domain | Skills | Description | |--------|--------|-------------| | Go | 2 | Idiomatic patterns, conventions | | Python | 2 | Pythonic idioms, PEP 8 | | Django | 3 | Architecture, DRF, ORM, security, TDD | | Spring Boot | 4 | Architecture, security, TDD, verification | | Swift | 4 | SwiftUI, concurrency, actors, protocol DI | | C++ | 2 | Core Guidelines, GoogleTest | | Java | 2 | Standards, JPA/Hibernate | | Database | 3 | PostgreSQL, migrations, ClickHouse | | Docker | 1 | Compose, container security |

Infrastructure & Patterns:

| Domain | Skills | Description | |--------|--------|-------------| | API Design | 1 | REST patterns, pagination, versioning | | Frontend Patterns | 1 | React/Next.js state and performance | | Backend Patterns | 1 | Node/Express server patterns | | Coding Standards | 1 | Universal TS/JS/React standards |

Specialized:

| Domain | Skills | Description | |--------|--------|-------------| | Content & Business | 6 | Articles, investor materials, outreach, market research | | 3D Animation | 5 | Three.js, GSAP, React Three Fiber, Framer Motion, Babylon.js | | Agent Engineering | 4 | Agent harness, eval, cost optimization | | Meta/Tooling | 5 | Skill management, compaction, learning, browsing |

</details>

MCP Tools

| Tool | Description | |------|-------------| | superskill | Route to the best skill by task description, domain, or skill ID | | vault_skill | Skill catalog, collisions, resolution, generation | | vault_project_context | Auto-detected project context from CWD | | vault_init | Generate draft context.md from a git repo | | vault_task | Task management (add/list/update/board) | | vault_decide | Log architecture decisions | | vault_learn | Capture and list learnings | | vault_resume | Resume context — recent sessions, interrupted work, next steps | | vault_session | Multi-agent session coordination | | vault_read | Read file or directory from vault | | vault_write | Write/append/prepend content | | vault_search | Full-text search across vault | | vault_prune | Archive stale content | | vault_stats | Vault content statistics | | vault_deprecate | Mark items as deprecated |

Configuration

| Variable | Default | Description | |----------|---------|-------------| | VAULT_PATH | ~/Vaults/ai | Path to knowledge vault | | MAX_INJECT_TOKENS | 1500 | Max tokens for context injection | | SESSION_TTL_HOURS | 2 | Session heartbeat TTL |

Roadmap

See GitHub Milestones for planned work.

Contributing

See CONTRIBUTING.md.

License

AGPL-3.0-or-later — See LICENSE

Copyright 2026 Permanu (Atharva Pandey)