“data engineering”

Diagnose context stuffing vs.

Apply Graph Engineering workflows inside Hermes.

Scan a project for security issues locally with the open-source Data Hogo engine.

Build MCP servers with well-named tools, workflow-oriented coverage, and clear errors.

Understand the components, mechanics, and constraints of context in agent systems.

Integrate systems after frontend direction.

Record architecture decisions with ADRs.

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing…

Expert application security engineer specializing in threat modeling, vulnerability assessment, secure code review, and security architecture design.

Classify and route non-trivial software engineering work through the appropriate design, implementation, verification, and review skills.

Rigorous agentic engineering workflow — 23 playbooks and 23 principle rules for bug fixes, features, refactors, performance work, investigations, architecture…

Route focused UI and design-engineering work through Fleet's existing skills.

Extract and materialize data lineage paths and mermaid diagrams.

Use when verifying build/test/lint before commit, PR, or completion claims.

Beginner-friendly reverse-engineering workflow for Detection Engineering.

Engineer maintainable, responsive CSS using existing tokens and repository styling conventions.

Disciplina de ingeniería del caos para validar resiliencia del pipeline KYC mediante experimentos controlados

Patterns for prerelease Effect applications.

Load for files that are Airflow — anything under dags/, DAG and TaskFlow authoring, operator and sensor selection, schedule and catchup semantics, XCom, task…

Use explicit human checkpoints for architecture, security, rollout, or operational decisions.

Turn a product brief into a technical design — architecture, stack, data model and a concrete build plan.

Activate when user needs database work - schema design, query optimization, migrations, data modeling.

Techniques for clear and structured prompts.

Use when starting a repo-grounded task, switching subsystems, or when output quality drops and the agent needs tighter project context from rules, specs…