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Progressive disclosure (search → load → read) for teaching AI agents domain-specific procedures through the SKILL.md standard.","maintainers":[{"name":"vinkius","email":"renato.marinho@vinkius.com"}],"readme":"<p align=\"center\">\n  <h1 align=\"center\">@vurb/skills</h1>\n  <p align=\"center\">\n    <strong>MCP Agent Skills for Vurb.ts</strong> — A framework for teaching AI agents via MCP servers<br/>\n    Progressive SKILL.md disclosure · Domain expertise over MCP · Context-efficient · agentskills.io standard\n  </p>\n</p>\n\n<p align=\"center\">\n  <a href=\"https://www.npmjs.com/package/@vurb/skills\"><img src=\"https://img.shields.io/npm/v/@vurb/skills?color=blue\" alt=\"npm\" /></a>\n  <a href=\"https://github.com/vinkius-labs/vurb.ts/blob/main/LICENSE\"><img src=\"https://img.shields.io/badge/license-Apache--2.0-green\" alt=\"License\" /></a>\n  <img src=\"https://img.shields.io/badge/node-%3E%3D18-brightgreen\" alt=\"Node\" />\n  <a href=\"https://modelcontextprotocol.io/\"><img src=\"https://img.shields.io/badge/MCP-compatible-purple\" alt=\"MCP\" /></a>\n  <a href=\"https://vurb.vinkius.com/\"><img src=\"https://img.shields.io/badge/Vurb.ts-framework-0ea5e9\" alt=\"Vurb.ts\" /></a>\n</p>\n\n---\n\n> **MCP Agent Skills for Vurb.ts**, the Model Context Protocol framework for building production MCP servers. Parse, validate, search, and serve **SKILL.md** files via MCP — context-efficient three-layer progressive disclosure keeps agent context windows lean.\n\n## What Are Agent Skills?\n\nA skill is a directory containing a `SKILL.md` file with YAML frontmatter and markdown instructions.\nSkills teach AI agents **how** to perform domain-specific tasks — from deploying infrastructure to generating reports.\n\n```\nskills/\n├── pdf-processing/\n│   ├── SKILL.md              # Frontmatter + instructions\n│   ├── scripts/extract.py     # Auxiliary files\n│   └── assets/template.docx\n├── deploy-k8s/\n│   └── SKILL.md\n└── data-migration/\n    ├── SKILL.md\n    └── references/schema.sql\n```\n\n### SKILL.md Format\n\n```yaml\n---\nname: pdf-processing\ndescription: Extract text, tables, and images from PDF documents\nversion: 1.0.0\nlicense: MIT\ncompatibility:\n  - Claude\n  - GPT-4\nmetadata:\n  category: document-processing\n  tags:\n    - pdf\n    - extraction\n---\n\n# PDF Processing\n\nStep-by-step instructions for the agent...\n```\n\n## Progressive Disclosure\n\nInstead of flooding the agent's context with every skill, `@vurb/skills` serves information in three layers:\n\n```\nLayer 1 — Search     → Lightweight metadata (id, name, description)\nLayer 2 — Load       → Full instructions + file list\nLayer 3 — Read File  → Auxiliary file content on demand\n```\n\nThis mirrors how developers browse documentation: **search → read overview → dive into details**.\n\n## Quick Start\n\n```typescript\nimport { initVurb } from '@vurb/core';\nimport {\n    SkillRegistry,\n    autoDiscoverSkills,\n    createSkillTools,\n} from '@vurb/skills';\n\n// 1. Initialize\nconst f = initVurb<AppContext>();\nconst skills = new SkillRegistry();\n\n// 2. Discover skills from a directory\nawait autoDiscoverSkills(skills, './skills');\n\n// 3. Create MCP tools (search, load, read_file)\nconst [search, load, readFile] = createSkillTools(f, skills);\n\n// 4. Register with your server\nconst registry = f.registry();\nregistry.registerAll(search, load, readFile);\n```\n\nThree tools are now available to any connected agent:\n\n| Tool | Purpose |\n|------|---------|\n| `skills.search` | Find skills by natural-language query |\n| `skills.load` | Load full instructions for a skill |\n| `skills.read_file` | Read auxiliary files (scripts, assets) |\n\n## Features\n\n### Parsing\n\nParse `SKILL.md` files with YAML frontmatter extraction:\n\n```typescript\nimport { parseSkillMd } from '@vurb/skills';\n\nconst skill = parseSkillMd(markdownContent, '/path/to/skill', ['scripts/run.sh']);\n// → { id, name, description, instructions, frontmatter, files }\n```\n\nFor lower-level control:\n\n```typescript\nimport { extractFrontmatter, toSkillFrontmatter } from '@vurb/skills';\n\nconst { frontmatter, body } = extractFrontmatter(rawContent);\nconst typed = toSkillFrontmatter(frontmatter);\n```\n\n### Validation\n\nValidate skills against the [agentskills.io](https://agentskills.io) specification:\n\n```typescript\nimport { validateSkill, formatValidationIssues } from '@vurb/skills';\n\nconst result = validateSkill(skill.frontmatter);\n\nif (!result.valid) {\n    console.error(formatValidationIssues(result.issues));\n}\n```\n\nValidation checks include:\n\n- Required fields (`name`, `description`)\n- Name format (kebab-case, length limits)\n- Description quality (minimum length)\n- Compatibility entries\n- Metadata structure\n\n### Full-Text Search\n\nMiniSearch-powered search engine with prefix matching, fuzzy search, and field boosting:\n\n```typescript\nimport { FullTextSearchEngine } from '@vurb/skills';\n\nconst engine = new FullTextSearchEngine();\nengine.rebuild([\n    { id: 'pdf-processing', name: 'PDF Processing', description: '...' },\n    { id: 'deploy-k8s', name: 'K8s Deploy', description: '...' },\n]);\n\nconst results = engine.search('extract pdf', 5);\n// → [{ id: 'pdf-processing', name: '...', description: '...', score: 12.5 }]\n```\n\n### Registry\n\nCentral hub for skill management with built-in validation and search:\n\n```typescript\nimport { SkillRegistry } from '@vurb/skills';\n\nconst registry = new SkillRegistry({\n    validateOnRegister: true,   // enforce spec compliance\n    strictValidation: false,    // warnings don't block registration\n});\n\n// Register individually\nregistry.register(skill, 'pdf-processing');\n\n// Register in batch (atomic — all or nothing)\nregistry.registerAll([skillA, skillB], ['skill-a', 'skill-b']);\n\n// Search (Layer 1)\nconst { skills, total } = registry.search('extract pdf', 10);\n\n// Load full instructions (Layer 2)\nconst loaded = registry.load('pdf-processing');\n\n// Read auxiliary file (Layer 3)\nconst file = await registry.readFile('pdf-processing', 'scripts/extract.py');\n```\n\n### Auto-Discovery\n\nRecursively scan directories for `SKILL.md` files:\n\n```typescript\nimport { SkillRegistry, autoDiscoverSkills } from '@vurb/skills';\n\nconst skills = new SkillRegistry();\n\nconst ids = await autoDiscoverSkills(skills, './skills', {\n    recursive: true,    // scan subdirectories (default: true)\n    strict: false,      // skip invalid skills instead of throwing\n    onError: (path, err) => console.warn(`Skipping ${path}`, err),\n});\n\nconsole.log(`Discovered ${ids.length} skills`);\n```\n\nSupports two directory layouts:\n\n```\nskills/skill-name/SKILL.md    # Directory per skill\nskills/SKILL.md                # Single skill at root\n```\n\n### MCP Tool Factory\n\nGenerate ready-to-use MCP tools with a single call:\n\n```typescript\nimport { createSkillTools } from '@vurb/skills';\n\nconst tools = createSkillTools(f, registry, {\n    prefix: 'skills',      // tool name prefix (default: 'skills')\n    searchLimit: 10,        // max results per search (default: 10)\n});\n```\n\nThe factory uses duck-typed interfaces — it works with any object that implements the `query()` fluent builder pattern, avoiding hard coupling to `Vurb.ts` internals.\n\n### Security\n\n- **Path traversal protection** — `readFile` blocks `..`, absolute paths, and `SKILL.md` access\n- **Case-insensitive guards** — filenames like `skill.md` and `SKILL.MD` are also blocked\n- **File size limits** — OOM protection with a configurable maximum file size (default: 1 MB)\n- **Error sanitization** — absolute server paths are stripped from error messages\n- **Binary-safe** — text files return UTF-8, binary files return Base64 with the correct MIME type\n\n## Types\n\nKey types exported from the package:\n\n```typescript\ninterface SkillFrontmatter {\n    name: string;\n    description: string;\n    version?: string;\n    license?: string;\n    compatibility?: string;\n    metadata?: Record<string, unknown>;\n    allowedTools?: string[];\n}\n\ninterface Skill {\n    id: string;\n    name: string;\n    description: string;\n    instructions: string;\n    filePath: string;\n    frontmatter: SkillFrontmatter;\n    files: string[];\n}\n\ninterface SkillMetadata {\n    id: string;\n    name: string;\n    description: string;\n}\n\ninterface SkillSearchResult {\n    id: string;\n    name: string;\n    description: string;\n    score: number;\n}\n\ninterface SkillFileContent {\n    content: string;\n    path: string;\n    size: number;\n    encoding: 'utf-8' | 'base64';\n    mimeType: string;\n}\n```\n\n## Installation\n\n```bash\nnpm install @vurb/skills\n```\n\n### Peer Dependencies\n\n| Package | Version |\n|---------|---------|\n| `vurb` | `^3.0.0` |\n| `zod` | `^3.25.1 \\|\\| ^4.0.0` |\n\n## Requirements\n\n- **Node.js** ≥ 18.0.0\n- **Vurb.ts** ≥ 3.0.0 (peer dependency)\n\n## License\n\n[Apache-2.0](https://github.com/vinkius-labs/vurb.ts/blob/main/LICENSE)\n","readmeFilename":"README.md"}