Core developer workflow skills: planning, execution, communication, and powerup discovery.
Error diagnosis, fault isolation, log forensics, and incident investigation.
Safe refactoring, dead-code removal, legacy modernization, and dependency hygiene.
Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.
Documentation architecture, API reference authoring, ADR writing, readme hardening, and doc quality.
ML pipeline design, experiment tracking, model evaluation, training debugging, and reproducibility.
Quality enforcement: TDD discipline, code review workflows, release verification, and CI failure analysis.
Subagent orchestration, wave execution, persistent completion, autonomous delivery, and migration batching.
Multi-model orchestration and advisor routing: tri-model review and canonical advisor routing.
Security review guidance for agent configs, MCP and filesystem exposure, red-team scenarios, and audit prompts.
Search-first codebase understanding, context retrieval, mapping, pattern detection, and living project intelligence.
Requirements clarification, phase planning, workstreams, and wave-based execution for reviewable delivery.
Workflow-first MCP server design with schema-first tools, context-aware outputs, and evaluation discipline.
Skill creation and extraction workflows for reusable agent guidance.
GitHub review, comment handling, and CI triage workflows with approval-gated write actions.
Review-first runbooks for connected-app workflows and multi-system deployment sequencing.
Quality gates for spec-driven development: adversarial plan verification and structured code review.
Context-efficient routing: dispatch tables for workflow, review, and codebase-intelligence commands.
Browser, MCP, retrieval, and agent runtime integration skills with conservative setup and safety boundaries.
Graph-backed memory and context optimization workflows with graphify first and document conversion helpers second.
Prompt, skill, red-team, and agent behavior evaluation workflows.