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Build reliable systems that leverage AI while maintaining correctness and transparency.
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Basado en la clasificación ocupacional SOC
Plan, reason, and verify across multiple levels using multi-step reasoning, tree-of-thought, and structured agent workflows.
Detect and repair security vulnerabilities or operational errors in the agent's own code and environment without manual intervention.
Generate and apply complete design systems from text descriptions or visual examples using AI and modern tooling.
Adapt user interfaces automatically based on device, viewport, user preferences, and contextual signals.
Build and query knowledge graphs automatically to capture relationships between entities, concepts, and project artifacts.
Run agent tasks in isolated, sandboxed environments to prevent malicious or untrusted code from affecting the host system.
| name | ai-engineering |
| description | Build reliable systems that leverage AI while maintaining correctness and transparency. |
Category: AI Engineering Priority: High
Build reliable systems that leverage AI while maintaining correctness and transparency.
Use AI as a force multiplier without accepting hallucinations or unreliability.
Use this skill when:
import json
from typing import Optional
class CodeReviewer:
def review(self, code: str) -> Optional[dict]:
prompt = self.build_prompt(code)
response = self.llm.generate(prompt, format="json")
try:
result = json.loads(response)
if self.validate_schema(result):
return result
except json.JSONDecodeError:
logger.error("AI returned invalid JSON")
return None # Fallback: no review available
def review(code):
return llm.generate(f"Review this: {code}")