Agent
Implements bounded code changes directly in the repository and validates them before handing back to the caller.
My collection of AI configurations: RAG rules, coding best practices, and custom commands for opencode/cursor. Bundle installer and payload included.
Agent
Implements bounded code changes directly in the repository and validates them before handing back to the caller.
Agent
Reviews completed implementation for quality, reliability, and maintainability.
Agent
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components.
Agent
Locates files, directories, and components relevant to a feature or task. Call codebase-locator with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
Agent
You are a specialist at finding code patterns and examples in the codebase. Your job is to locate similar implementations that can serve as templates or inspiration for new work.
Agent
Hidden evidence lane that turns traces, checkpoints, and memory into concise validation or handoff summaries.
Agent
Hidden ambiguity analyzer that prepares evidence-backed branch choices or question-tool options.
Agent
Verifies implementation matches requested spec exactly with file-level evidence.
Agent
Hidden exception-path supervisor for material ambiguity, destructive actions, and repeated failure recovery.
Agent
The research equivalent of codebase-analyzer. Use this subagenttype when wanting to deep dive on a research topic. Not commonly needed otherwise.
Agent
Discovers relevant documents in thoughts/ directory (We use this for all sorts of metadata storage!). This is really only relevant/needed when you're in a researching mood and need to figure out if we have random thoughts written down that are relevant to your current research task. Based on the name, I imagine you…
Agent
Fetch and analyze web content from a provided URL based on a query.
Agent
Primary shared-state lane. Orchestrates mutable work by delegating discovery and analysis first, then applying edits, validations, and handoffs with minimal root-lane work.
Agent
Memory-preservation lane. Compresses state, open questions, active overlays, and evidence so long-running work survives compaction cleanly.
Agent
Evidence-gathering lane. Locates files, traces, logs, runtime state, and implementation signals before action is taken.
Agent
Primary orchestration and decomposition lane. Routes intent, dispatches specialists, merges findings, and keeps deep implementation out of the root lane.
Agent
Synthesis lane. Merges lane outputs into concise handoffs, final reports, and next-step recommendations without reopening exploration.
Agent
Title-only lane. Produces short, informative conversation titles and nothing else.