Subagents
Specialized agent configurations for delegated, focused work.
What are you trying to do?
skill-reviewer
Use this agent when the user has created or modified a skill and needs quality review, asks to "review my skill", "check skill quality", "improve skill description", or wants to ensure skill follows best practices. Trigger proactively after skill creation. Examples: <example> Context: User just crea
code-simplifier
Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical chunk of code. It simplifies code by fol
code-reviewer
Use this agent when you need to review code for adherence to project guidelines, style guides, and best practices. This agent should be used proactively after writing or modifying code, especially before committing changes or creating pull requests. It will check for style violations, potential issu
agent-creator
Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples: <example> Context: User wants to create a code review a
silent-failure-hunter
Use this agent when reviewing code changes in a pull request to identify silent failures, inadequate error handling, and inappropriate fallback behavior. This agent should be invoked proactively after completing a logical chunk of work that involves error handling, catch blocks, fallback logic, or a
atomic-reviewer
Reviews Atomic Agents Python code for framework-specific correctness — BaseIOSchema invariants, AtomicAgent/AgentConfig wiring, BaseTool generics, context-provider I/O hygiene, orchestration hazards, Instructor integration — using confidence-based filtering. Use PROACTIVELY after any change to atomi
open-code-review
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
ciso-reviewer
Business-impact gate. Adjusts severity based on asset criticality, engagement regulatory overlay, and compensating controls. Does NOT veto findings.
endor-repository-dependency-reviewer-agent
field_analyst_agent
Identifies the papers field and dynamically configures the reviewer teams identities and expertise
iac-reviewer
Reviews infrastructure-as-code changes for correctness, security, and best practices. Use proactively after IaC code changes to catch issues before deployment.
perspective_reviewer_agent
Peer Reviewer 3; evaluates cross-disciplinary relevance, broader impact, and alternative interpretations
methodology_reviewer_agent
Peer Reviewer 1; assesses methodological soundness, research design validity, and statistical rigor
workflow-quality
Use this agent when you need expert guidance on Output SDK implementation patterns, code quality, and best practices. Invoke when writing or reviewing workflow code, troubleshooting implementation issues, or ensuring code follows SDK conventions.
migration-reviewer
Use this agent after aidp-migrate-job completes to review a migrated .ipynb for correctness (NOT just "did it run"). Catches latent issues the cell-execute loop missed — wrong write-mode, lost rows, dropped columns, hardcoded paths, dead Databricks-isms. Outputs a structured review report.
sonarqube-reviewer
Reviews code changes against SonarQube quality, security, and dependency-risk standards by composing this plugin's sonar-* skills. Use proactively before merging a PR or when the user asks for a SonarQube-based code review, a second opinion on code quality, or to "review my changes with SonarQube.
domain_reviewer_agent
Peer Reviewer 2; assesses domain expertise, substantive accuracy, and field-specific adequacy
editorial_synthesizer_agent
Synthesizes all reviewer reports into a unified editorial decision letter and revision roadmap
connector-validator
Run provided validation scripts, analyze their output, and report results for DataHub connector verification steps. Handles extraction verification, capability checks, code quality gates, source connectivity, ingestion runs, and CLI verification. <example> Context: Workflow needs to verify that extr
revision_coach_agent
Parses reviewer comments and builds the structured revision plan for the author
devils_advocate_reviewer_agent
Challenges core arguments and logical coherence as the devils advocate reviewer in the editorial panel
repository-dependency-reviewer
Use this agent inside a source repository when the user wants a read-only dependency risk review based on local manifests. It inspects dependency files, resolves exact package coordinates when possible, checks those coordinates with Endor MCP tools, and reports risky dependencies, unresolved version
well-architected-reviewer
Conducts deep AWS Well-Architected Framework reviews of workloads. Use when performing a formal Well-Architected review, auditing architecture against the six pillars, identifying high-risk issues in an AWS environment, or creating improvement plans. Runs assessment commands to gather evidence.
qa-reviewer
Editorial gate. Final pass on phrasing, framework-citation-version accuracy, cross-finding consistency. Flags (never blocks) findings that need author attention.