engineering▌
65 indexed skills · max 10 per page
AI Data Remediation Engineer
msitarzewski/agency-agents · engineering
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
Code Reviewer
msitarzewski/agency-agents · engineering
Expert code reviewer who provides constructive, actionable feedback focused on correctness, maintainability, security, and performance — not style preferences.
AI Engineer
msitarzewski/agency-agents · engineering
Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.
glycoengineering
Kuan-lin Huang/glycoengineering · research
Analyze and engineer protein glycosylation for therapeutic antibody optimization and vaccine design.
cobrapy
K-Dense Inc./cobrapy · research
COBRApy is a Python library for constraint-based metabolic modeling, essential for systems biology research and metabolic engineering analysis.
using-agent-skills
explainx/agent-skills · productivity
Discovers and invokes agent skills for effective task management in engineering workflows.
deprecation-and-migration
OWNER/REPO · other
Manages deprecation and migration. Use when removing old systems, APIs, or features.
customaize-agent:context-engineering
neolabhq/context-engineering-kit · AI/ML
Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: system instructions, tool definitions, retrieved documents, message history, and tool outputs. Understanding context fundamentals is prerequisite to effective context engineering.
customaize-agent:prompt-engineering
neolabhq/context-engineering-kit · AI/ML
Advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
design-engineering
refoundai/lenny-skills · Frontend
Bridge design and engineering teams by clarifying roles, organizational placement, and hiring strategy. \n \n Defines design engineering as merging UX design with engineering to accelerate prototyping and production shipping, with scope varying from validation prototypes to production-ready code \n Emphasizes combining design sensibility with shipping ability rather than seeking unicorn-level expertise in both disciplines \n Guides organizational placement decisions, handoff friction diagnosis,