Skill Optimizer

Active coding discipline enforcer based on Karpathy's 4 principles: surface assumptions, keep it simple, make surgical changes, define verifiable goals. Ships 4 Python tools (complexity_checker, diff_surgeon, assumption_linter, goal_verifier), a review agent, /karpathy-check slash command, and a pre-commit hook. All tools stdlib-only.

Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).

Python 3.12+ with FastAPI, async/await, type hints, and Ruff linting rules for Claude Code.

40 product management skills for AI agents, covering the full product lifecycle from discovery through iteration. Includes the v2.12.0 OKR Skills set (foundation-okr-writer + measure-okr-grader for the full quarterly OKR write-and-score cycle), the v2.11.0 Meeting Skills Family (5 cross-cutting skills governed by a shared contract with enforcing CI), lean canvas, persona, structured templates, real-world examples, workflows, an interactive skill builder, and lifecycle tools for validating and iterating skills. Follows the agentskills.io specification.

Inspired by Japanese continuous improvement philosophy, Agile and Lean development practices. Introduces commands for analysis of root cause of issues and problems, including 5 Whys, Cause and Effect Analysis, and other techniques.

Guide for creating effective Agent Skills with specialized knowledge and workflows