Expert in non-deployment Terraform modules — core, network, ECR, EKS, kubernetes-operators, and integrations. Use for plan/apply on infrastructure modules, module scaffolding, or state operations on non-deployment resources.
Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagenttype today to find any and all answers to your questions! It will research deeply to figure out and attempt to…
Use this agent for comprehensive code reviews of NestJS backend implementations following DDD + CQRS patterns. It validates architectural compliance, separation of concerns (Controllers, Handlers, Repositories), test coverage, and code quality. Ideal for reviewing feature branches that implement business logic with…
Runs after a successful deployment or benchmark session to extract cross-cutting lessons and elevate them to steering files. Use when a RALPH loop completes or a capacity block session ends.
Tactical orchestrator during implementation and cross-domain convention registrar. Authors conventions in the tactical-implementation domain; routes convention authorship in other domains to the declared owner agent. Deconstructs stories into plans, routes to domain specialist agents, and reviews code for convention…
Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
Use PROACTIVELY when user mentions: review, code review, audit, quality, assess, evaluate, critique, feedback, score, rate, check my code, how does this look, is this good, technical debt, code smell, best practices, clean code, code quality, maintainability, refactor review, PR review, pull request, merge request…
Executes an existing plan step-by-step on a dedicated git branch with fast per-step ralph loops and a deep final ralph loop (automated checks + self-review + adversarial testing). Maintains a timestamped journal with commit hashes and loop results.
Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure. Use when documenting code at the lowest C4 level for individual directories and code modules.
Feature analysis specialist. Evaluates feasibility, complexity, technical requirements, and recommends state management. WAITS for approval before architect-agent proceeds.
Use this agent when you need to intelligently manage development knowledge in the LLM Memory MCP server, with special focus on preserving critical context before conversation compacting. It automatically captures important code patterns, insights, and technical decisions during development sessions, proactively…
Create or convert code into a spec-aligned Datacore module. Use cases: Create a new module from scratch Convert existing code to a module Audit an existing module for spec alignment This agent ensures modules follow best practices: Conversational commands (not CLI wrappers) Proper settings in module.yaml Layered…
An agent with full access to persistent memory tools. Use for storing decisions, searching past context, auditing saved knowledge, and keeping memory up to date.
Simulates Phoenix algorithm scoring on X post drafts. Returns detailed signal analysis and composite scores.
★not rated 4 7mo agoA21 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: