Results for “engineering”

Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

Implement chat-based user interface with selectable options, progressive disclosure, and workflow guidance for discipline-specific operations including procurement, civil engineering, and other domain workflows

Generates user stories with clear acceptance criteria from product requirements or feature descriptions. Use when breaking down features for sprint planning, writing tickets, or communicating requirements to engineering.

Produce low/mid-fidelity wireframe specifications and annotations for handoff. Use when: (1) early concepting, (2) comparing layout options, (3) PM/engineering alignment. NOT for: high-fidelity branding work.

Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Design, build, and optimize Microsoft Fabric Lakehouse solutions with guidance on core concepts, components, security, shortcuts, and performance optimization.

Detect business email compromise (BEC) attacks using email gateway rules, behavioral analytics, and financial process controls.

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring for complex product management tasks.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.

Provides design engineering guidance focused on animation principles, UI review, and interface craftsmanship.

Reverse engineers stripped Go and Rust binaries by recovering runtime metadata, symbols, panic strings, and idiomatic decompilation patterns.

Provides ClickHouse-specific patterns for schema design, query optimization, data ingestion, and analytics, including materialized views and performance monitoring.

Offers fractional AI engineering and consulting services, acting as a part-time AI executive to generate $3K-10K per month.

Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

Trigger: standard work, deming first, feedback loop checks, decision rights, delegation check. Scope: Engineering operating models, team governance, task feedback loops. Boundary: Excludes direct code implementation or design templates.

Translates high-level ideas into detailed Epic-level Product Requirements Documents (PRDs) that serve as the single source of truth for engineering teams.

Creates original educational comics with flexible art styles and tones, supporting detailed panel layouts and batch image generation.

Designs, optimizes, and evaluates prompts for LLMs, including structured outputs, chain-of-thought, and evaluation frameworks.

Enforces a strict efficiency ladder—YAGNI, reuse, stdlib, native platform, existing deps—before writing any new code, preventing over-engineering and unnecessary dependencies.

Generates a single-page engineering runbook template with service overview, alerts table, dashboards, common procedures, on-call rotation, and incident response checklist.

Creates a tech sharing deck for internal engineering talks with GitHub-dark theme and JetBrains Mono code blocks.

Bundles a prompt with selected files into a one-shot request for another model, supporting API and browser engines with session reattachment.

Generates a complete Figma Make prompt package with context primer, checkpoint, build prompts, and iteration templates for designing UI pages, components, or screens.

Assists with software engineering tasks including writing, editing, and explaining code, searching codebases, running commands, managing files, debugging, and implementing features.

Configures a repository's issue tracker, triage labels, and domain documentation so engineering skills can operate correctly.

Generates images from text prompts using diffusion models, covering prompt engineering, inpainting/outpainting, ControlNet, and API integration for production workflows.

Designs and optimizes prompts for LLM-powered applications, covering system prompt architecture, context management, output formatting, and evaluation.

Patterns, conventions, and guardrails for the closed-loop systems in AegisNex. Covers the AI intelligence graph, Guardian auto-restart, multi-agent orchestration, incident lifecycle, self-improvement memory, and risk/policy gates.

Trigger: marketing copy, landing text, CTA labels, value proposition, copywriting copy, conversion copy. Scope: Persuasive copy generation, conversion-focused taglines. Boundary: Excludes technical specifications or backend engineering.

Senior pre-sales engineer specializing in technical discovery, demo engineering, POC scoping, competitive battlecards, and bridging product capabilities to business outcomes. Wins the technical decision so the deal can close.

Diagnose and configure compound-engineering environment. Checks CLI dependencies, plugin version, and repo-local config. Offers guided installation for missing tools. Use when troubleshooting missing tools, verifying setup, or before onboarding.

Creates a comprehensive Product Requirements Document that aligns stakeholders on what to build, why, and how success will be measured. Use when specifying features, epics, or product initiatives for engineering handoff.

Clone any website into a pixel-perfect Next.js replica via reverse-engineering. Use when asked to clone, copy, replicate, or rebuild a site or landing page.

Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'.

Eng manager-mode plan review. Lock in the execution plan — architecture, data flow, diagrams, edge cases, test coverage, performance. Walks through issues interactively with opinionated recommendations. Use when asked to "review the architecture", "engineering review", or "lock in the plan". Proactively suggest when the user has a plan or design doc and is about to start coding — to catch architecture issues before implementation. (gstack) Voice triggers (speech-to-text aliases): "tech review", "technical review", "plan engineering review".