TensorGymnastic

TensorGymnastic/lean

Command

Implement tasks from an OpenSpec change (Experimental).

TensorGymnastic/lean

Command

Archive a completed change in the experimental workflow.

TensorGymnastic/lean

Command

Enter explore mode - think through ideas, investigate problems, clarify requirements.

TensorGymnastic/lean

Command

Propose a new change - create it and generate all artifacts in one step.

TensorGymnastic/lean

Command

Sync delta specs from a change to main specs.

TensorGymnastic/lean

Command

Update a change - revise existing planning artifacts and keep them coherent (Experimental).

TensorGymnastic/lean

Skill Claude CodeCodex

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

TensorGymnastic/lean

Skill Claude CodeCodex

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

TensorGymnastic/lean

Skill Claude CodeCodex

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

TensorGymnastic/lean

Skill Claude CodeCodex

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

TensorGymnastic/lean

Skill Claude CodeCodex

Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.

TensorGymnastic/lean

Skill Claude CodeCodex

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.

TensorGymnastic/lean

Instructions file CodexOpenCode

AGENTS.md instructions for TensorGymnastic/lean, covering agents.md — lean, purpose, agent skill library, 1. superpowers and 2. matt pocock's skill library.

TensorGymnastic/lean

MCP server Claude CodeCodexCursor +2

A CLI aimed at making it easier to run QuantConnect's LEAN engine locally and in the cloud. Runs locally from the lean Python package.