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Universal Agent Skills Generator

Transform any high-level goal into a production-ready set of atomic, executable AI agent skills — no prompt engineering required.

Describe what you want your AI agent to accomplish, and this Actor generates a complete skill system: validated skill definitions, a dependency-aware execution graph, failure recovery strategies, and ready-to-use exports for CrewAI and OpenAI Agents.

How It Works

Your Goal → Intent Parsing →(Optional) Web Scraping → Knowledge Distillation
 → Skill Synthesis → Self-Healing Validation → Caching & Versioning
 → Execution Graph → Framework Export → Output

1. Intent Normalization — Parses your goal, detects domain keywords, infers the execution domain, and identifies knowledge gaps automatically.
2. Smart Scraping (optional) — Scrapes up to 5 public documentation domains (≤2 pages each) using Cheerio. Fully configurable and rate-limited.
3. Knowledge Distillation — Extracts capabilities, API patterns, constraints, and failure modes from scraped content.
4. Skill Synthesis — Generates single-responsibility skills with explicit typed inputs, outputs, constraints, and failure handling.
5. Self-Healing Validation — Auto-fixes weak descriptions, injects missing constraints, removes near-duplicates, and rejects hostile content (TODO, FIXME, etc.).
6. Caching & Versioning — Skills are cached with deterministic hashes. Re-runs produce semantic diffs with automatic semver version bumps.
7. Execution Graph — Builds a DAG (directed acyclic graph) with no circular dependencies, defining the correct skill execution order.
8. Framework Export — Generates drop-in configurations for CrewAI agents and OpenAI tool definitions.

Input Parameters

Output

Each run produces two outputs:

1. Dataset — Individual Skill Records

Every generated skill is pushed as a separate record to the default dataset, containing:

{
"skill_id":"skill-setup-project-scaffolding",
"skill_name":"Setup Project Scaffolding",
"category":"project-setup",
"description":"Initialize directory structure, package.json, and dependencies...",
"inputs":[{"name":"project_name","type":"string","required":true}],
"outputs":[{"name":"project_root","type":"string"}],
"actions":["Create project directory","Initialize package.json","..."],
"tools":["filesystem","npm"],
"constraints":["Must produce deterministic output","Must not modify inputs"],
"failure_modes":[{"condition":"disk_full","fallback":"Report error with path"}],
"editor_metadata":{
"deterministic":true,
"ui_safe":true,
"callable_independently":true,
"idempotent":true
}
}

2. Key-Value Store — Full Output JSON

The complete output is saved to the OUTPUT key, including:

• skills — All validated skills
• execution_graph — DAG with nodes and edges defining dependencies
• validation_summary — Total, valid, rejected, healed, near-duplicate counts
• cache_summary — Cache hits vs. new skills
• diff_summary — Semantic diffs with version bumps (on re-runs)
• exports — CrewAI agents and/or OpenAI tool definitions (if selected)
• assumptions — What the Actor inferred about your goal

Example

Input

{
"goal":"Build a REST API with Express.js and MongoDB for a task management app",
"preferred_tools":["node","express","mongodb"],
"scraping_enabled":true,
"depth_level":"medium",
"export_formats":["crewai","openai"]
}

Output (excerpt)

{
"agent_goal":"Build a REST API with Express.js and MongoDB for task management",
"skills":[
{
"skill_id":"skill-setup-project-scaffolding",
"skill_name":"Setup Project Scaffolding",
"category":"project-setup",
"actions":["Create directory structure","Initialize package.json","Install dependencies"],
"tools":["filesystem","npm"]
},
{
"skill_id":"skill-configure-mongodb-connection",
"skill_name":"Configure MongoDB Connection",
"category":"database",
"actions":["Setup Mongoose client","Define connection URI","Handle connection errors"],
"tools":["mongodb","mongoose"]
}
],
"execution_graph":{
"nodes":["skill-setup-project-scaffolding","skill-configure-mongodb-connection","..."],
"edges":[["skill-setup-project-scaffolding","skill-configure-mongodb-connection"]]
},
"validation_summary":{"total":8,"valid":8,"rejected":0,"healed":1}
}

Key Features

• Zero-config skill generation from plain-language goals
• Cross-modal support for documents, video, images, and social posts
• Editor-first design — every skill includes editor_metadata for determinism, UI safety, and independent callability
• Self-healing pipeline — auto-fixes weak descriptions, missing constraints, and near-duplicates before output
• Hostile validation — rejects hallucinated tools, placeholder content (TODO/FIXME), and multi-responsibility skills
• Semantic versioning — re-runs diff against cached skills with automatic major/minor/patch bumps
• Framework exports — drop-in CrewAI agent configs and OpenAI tool schemas

Pricing

This Actor uses pay-per-event pricing:

Typical costs:

• Low depth (5 skills): ~$1.00
• Medium depth (8 skills): ~$1.60
• High depth (14 skills): ~$2.80

Use Cases

• AI Agent Development — Generate skill blueprints for LangChain, CrewAI, or custom agent frameworks
• Technical Planning — Break down complex goals into validated, dependency-ordered steps
• Rapid Prototyping — Start with a goal, get a complete skill graph in seconds
• Framework Migration — Export skills as CrewAI agents or OpenAI tools for immediate integration

Limitations

• Scraping is limited to ≤5 domains and ≤2 pages per domain to respect rate limits
• Skills are generated deterministically — no LLM calls, no API keys required
• Output format is JSON only (more formats planned)

Support

If you encounter any issues or have feature requests, please open an issue on the Actor's page in the Apify Console.