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superskill

v0.6.1

Published

Universal agentic knowledge base + context optimizer + skill marketplace for AI tools

Readme

SuperSkill

Universal skill marketplace + knowledge vault for AI coding agents. Auto-detects your stack, resolves skill collisions across repos, and loads expert methodologies on demand.

License: AGPL-3.0 npm Node.js TypeScript

What It Does

  • Skill Marketplace — 87 skills from 9 repos (ECC, Superpowers, gstack, Anthropic, design repos). Catalog, search, filter by domain.
  • Collision Detection — 12 domains where skills from different repos compete (TDD, planning, code review, etc.). Profile-based resolution picks the best skill per domain.
  • Per-Project Filtering — Auto-detects your stack (Go+Echo, React+Next, Django, etc.) and loads only relevant skills. Go project? No Django/Spring/frontend skills loaded.
  • Progressive Disclosure — Lightweight manifest (~100 tokens/skill) + on-demand loading. Small context models get essentials only.
  • Knowledge Vault — Persistent project memory: tasks, decisions (ADRs), learnings, sessions, brainstorms. Cross-tool, cross-session continuity.
  • Multi-Agent Coordination — Session registry for agent swarms. No file conflicts.

Install

Claude Code Plugin (recommended)

/plugin marketplace add permanu/superskill
/plugin install superskill

npm (any MCP-compatible tool)

npm install -g superskill

Or use directly:

npx superskill

From source

git clone https://github.com/permanu/superskill.git
cd superskill
npm install && npm run build

Quick Start

Once installed, SuperSkill auto-detects your project and loads skills on demand. The main MCP tool is superskill — the LLM calls it automatically when it recognizes a task that matches a skill domain.

How It Works

  1. Agent starts session → SuperSkill injects skill awareness via vault_resume
  2. User says "let's think about this problem"
  3. Agent recognizes brainstorming intent → calls superskill({domain: "brainstorming"})
  4. SuperSkill returns expert methodology → agent follows it

No manual commands needed. The LLM decides when to use skills based on your intent.

Skill Domains

| Domain | What It Covers | |--------|---------------| | brainstorming | Thinking through problems, exploring ideas, ideating | | planning | Architecture, implementation strategy, scoping | | code-review | PR review, code quality, feedback | | tdd | Writing tests, coverage, test-driven development | | debugging | Investigating errors, troubleshooting, root cause | | security | Vulnerability review, auth, OWASP, hardening | | verification | Build checks, lint, type validation | | shipping | Deployment, CI/CD, releases, rollbacks | | frontend-design | UI/UX, components, visual design | | agent-orchestration | Multi-agent, parallel tasks, subagents | | database | SQL, schemas, migrations, query optimization |

CLI

# Marketplace
superskill-cli skill catalog                        # 87 skills, 9 repos
superskill-cli skill catalog --search "tdd"         # search
superskill-cli skill collisions                     # 12 collision domains
superskill-cli skill resolve --profile ecc-first    # see winners

# Generate super-skill (auto-detects stack)
superskill-cli skill generate                       # Go project → 14 skills, React → different set

# Smart activate (describe task, get skill)
superskill-cli skill activate "brainstorm this"     # → loads brainstorming skill
superskill-cli skill activate "write tests"         # → loads TDD skill
superskill-cli skill activate "review PR" --domain code-review  # direct domain

# Progressive disclosure
superskill-cli skill manifest                       # lightweight index
superskill-cli skill load ecc/tdd-workflow          # load one skill

# Knowledge vault
superskill-cli context                              # project context
superskill-cli task add "Fix auth bug" --priority p0
superskill-cli task board                           # kanban view
superskill-cli learn add --title "Redis pattern"    # capture learning
superskill-cli decide --title "Use PostgreSQL"      # log ADR
superskill-cli resume                               # what happened last session

MCP Setup (non-plugin)

For tools that don't support Claude Code plugins, configure as a standard MCP server:

Claude Code

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

Claude Desktop / Cursor / Codex / OpenCode

Add to your MCP config:

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

MCP Tools

| Tool | Description | |------|-------------| | superskill | Main tool — load expert methodology by domain, task description, or skill ID | | vault_read | Read file or directory from vault | | vault_write | Write/append/prepend content | | vault_search | Full-text search across vault | | vault_project_context | Get project context (auto-detects from CWD) | | vault_init | Generate draft context.md from a git repo | | vault_decide | Log architecture decision | | vault_task | Manage tasks (add/list/update/board) | | vault_learn | Capture/list learnings | | vault_session | Multi-agent session coordination | | vault_skill | Skill marketplace operations (catalog/collisions/resolve/generate) | | vault_resume | Resume context — recent sessions, interrupted work, next steps | | vault_prune | Archive/delete stale content | | vault_stats | Content statistics | | vault_deprecate | Mark items as deprecated |

Configuration

| Environment 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 |

Vault Structure

~/Vaults/ai/
├── project-map.json           # Path → slug mappings
├── coordination/
│   ├── session-registry.json  # Active agent sessions
│   └── locks/                 # PID lockfiles
├── skills/
│   ├── installed/             # Installed skills
│   ├── super-skill/           # Generated super-skill files
│   └── registry.json          # Skill metadata
└── projects/<slug>/
    ├── context.md             # Project overview
    ├── decisions/             # Architecture Decision Records
    ├── tasks/                 # Task files
    ├── learnings/             # Learning captures
    ├── sessions/              # Session notes
    ├── brainstorms/           # Brainstorm documents
    └── _archive/              # Pruned content

Testing

npm test                           # Run all tests (Vitest)
npm run test:coverage              # With coverage
npm test src/lib/auto-profile.test.ts  # Specific file

License

AGPL-3.0-or-later — See LICENSE

Commercial license available for organizations with >$1M annual revenue. See LICENSE-COMMERCIAL.md.

Copyright 2026 Permanu (Atharva Pandey)