with one click
coglet
coglet contains 9 collected skills from Metta-AI, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Generate an HTML training dashboard from .coach/ state showing experiments, scores, learnings, TODOs. Pulls live tournament status. Opens in browser. Use for "dashboard", "training status", "show progress".
Save current coaching session state. Writes log, updates state.json and todos.md, commits and pushes if git is configured. Use at the end of each improvement cycle.
Run one full coaching step — start session, choose approach (PCO or IntelligentDesign), improve, save session. This is the skill that /loop calls every 30 minutes. Use when asked to "run a coaching step" or "coach step".
IntelligentDesign improvement iteration. Directly analyzes code and prompts, identifies a specific improvement, implements it, tests, and submits. Use when asked to "review the code", "improve the prompts", or "intelligent design".
PCO improvement iteration. Plays a game, collects experience, runs CvCLearner to propose program patches, tests locally, and submits if improved. Use when asked to "run PCO" or "evolve programs".
Run one improvement iteration. Chooses between PCO and IntelligentDesign based on recent effectiveness, runs the chosen approach, falls back to the other if it fails. Use when asked to "improve the agent", "run a coaching session", or "coach improve".
Start the coaching loop. Initializes state, then runs /coach.step every 30 minutes. Use when asked to "start coaching", "coach the agent", or "start the coaching loop".
Initialize a coaching engagement. Asks for a guide document, brainstorms a coaching strategy, generates guide.md, and creates .coach/ state. Use when starting a new coaching engagement or "coach init".
Start a new coaching session. Loads state from .coach/, checks tournament results for previous submissions, creates a new session directory with plan.md and log.md. Use at the beginning of each improvement cycle.