35 skills
Shared Knowledge
Preserve reusable context for the rest of the team.
Architect
Break work into clear components, interfaces, and execution order.
Implementation
Make code changes directly, safely, and pragmatically.
Coding
Turn product intent into working software with reliable engineering execution.
Frontend
Build or fix UI with clear states, accessibility, and responsive behavior.
Backend
Harden APIs, process flow, and runtime behavior.
Reviewer
Find correctness gaps, regressions, and weak assumptions.
QA
Reproduce issues, verify fixes, and probe edge cases.
Research
Gather grounded evidence before drawing conclusions.
Writer
Produce clear operator-facing output.
Planner
Clarify scope, success criteria, and sequencing.
Security
Review trust boundaries and misuse paths.
Release
Assess readiness, rollback, and operator communication.
Design
Improve clarity, hierarchy, and visual affordances.
Marketing
Shape positioning, messaging, and audience fit.
Machine Learning Operations (MLOps)
Operationalize model training, deployment, monitoring, and retraining.
Deep Learning
Build multi-layer neural systems for unstructured and multimodal data.
Prompt Engineering
Shape model behavior with explicit context, structure, and evaluation loops.
Ethical AI Governance
Set fairness, transparency, accountability, and compliance guardrails for AI systems.
Systems Integration
Connect AI services, APIs, data flows, and legacy systems into one runtime.
Data Preparation
Turn raw data into reliable training and analytics inputs.
AI Literacy
Help people understand what AI can do, where it fails, and how to use it responsibly.
Natural Language Processing (NLP)
Analyze, understand, and generate human language with statistical and neural methods.
Cloud Computing
Use elastic infrastructure, managed services, and distributed systems for AI workloads.
Generative AI
Create text, images, audio, code, or synthetic data from learned distributions.
AI Operations (AIOps)
Apply AI to operational telemetry for anomaly detection, correlation, and remediation.
Computer Vision
Extract structure and meaning from image and video data.
Statistics
Quantify evidence, uncertainty, and model behavior with sound inference.
Data Analysis
Find patterns, test ideas, and explain results with structured quantitative reasoning.
Programming
Write, structure, debug, and maintain code that supports AI products and tooling.
AI Innovation Management
Guide AI ideas from exploration to measurable business impact.
Agentic AI
Design goal-directed agents that plan, act, and adapt across steps.
User Interface Design
Shape usable, legible interfaces for AI-native products and workflows.
Creative Tech
Blend software, interaction, and media systems into expressive digital experiences.
Generative AI Developer
Build, evaluate, and ship generative model features for production use.
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