Providing personalized Claude Code configurations with sub-agents, slash commands, connection points, and skills for multi-agent coordination, knowledge graphs, and data transfer between machines.
Agent
Analyzes a codebase using repomix + sequential-thinking + knowledge-graph. Returns structured tables covering architecture, runtime behaviors, and failure modes. Stores findings in .aim/ for future sessions. Use when onboarding to a new codebase or before planning a feature.
Agent
Executes MCP tool calls and CLI tasks while keeping tool schemas out of the main context window. Tries available AI CLIs in priority order before falling back to direct mcporter calls. Use when any agent needs to run an MCP tool without polluting its own context.
Agent
Runs the full coding workflow end-to-end for a given goal: clarify → analyze codebase → plan → implement → review → test. Spawns codebase-analyst and mcp-manager as subagents. Use when given a feature request or bug fix that requires understanding the codebase before touching code.
Agent
Generic task executor that delegates work to a specified AI CLI tool based on role assignment. Receives structured task with role, tool preference, and context from predecessor tasks. Use when the orchestrator needs to delegate a task to an external tool.
Agent
Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards. Examples: After sub-phase implementation, after major feature completion, before merging to verify work meets requirements.
Agent
Use this agent when implementing a single sub-phase from an RLM plan. The agent should receive the full sub-phase text, current codebase context, and implement the feature with TDD discipline.
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: