Agent Skills Generator
Pricing
from $200.00 / 1,000 results
Agent Skills Generator
Transforms any goal into production-ready AI agent skills. Generates validated, atomic skill definitions with execution graphs, failure recovery, and CrewAI/OpenAI exports. Supports optional web scraping, self-healing validation, semantic versioning, and cross-modal content workflows out of the box.
Pricing
from $200.00 / 1,000 results
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Varun Chopra
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3 days ago
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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
- Intent Normalization — Parses your goal, detects domain keywords, infers the execution domain, and identifies knowledge gaps automatically.
- Smart Scraping (optional) — Scrapes up to 5 public documentation domains (≤2 pages each) using Cheerio. Fully configurable and rate-limited.
- Knowledge Distillation — Extracts capabilities, API patterns, constraints, and failure modes from scraped content.
- Skill Synthesis — Generates single-responsibility skills with explicit typed inputs, outputs, constraints, and failure handling.
- Self-Healing Validation — Auto-fixes weak descriptions, injects missing constraints, removes near-duplicates, and rejects hostile content (TODO, FIXME, etc.).
- Caching & Versioning — Skills are cached with deterministic hashes. Re-runs produce semantic diffs with automatic semver version bumps.
- Execution Graph — Builds a DAG (directed acyclic graph) with no circular dependencies, defining the correct skill execution order.
- Framework Export — Generates drop-in configurations for CrewAI agents and OpenAI tool definitions.
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Goal (required) | string | — | The high-level goal for your AI agent. Be as specific as possible. |
| Preferred Tools | string[] | [] | Languages, frameworks, or tools the agent should prefer (e.g. node, python, docker). |
| Enable Web Scraping | boolean | true | Scrape public docs for domain knowledge. Limited to ≤5 domains, ≤2 pages each. |
| Allowed Scraping Domains | string[] | [] | Restrict scraping to specific domains. Leave empty for automatic selection. |
| Depth Level | string | medium | Controls skill granularity: low (3–5 broad skills), medium (5–8 balanced), high (8–14 fine-grained). |
| Export Formats | string[] | [] | Generate compatibility exports: crewai, openai, or both. |
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 skillsexecution_graph— DAG with nodes and edges defining dependenciesvalidation_summary— Total, valid, rejected, healed, near-duplicate countscache_summary— Cache hits vs. new skillsdiff_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_metadatafor 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:
| Event | Price | Description |
|---|---|---|
| Actor Start | $0.00005 | Charged once per run (Apify handles this) |
| Per Skill | $0.20 | Charged per skill pushed to the dataset |
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.