Autonomous prompt optimization for AI agent skills. Runs controlled experiments to find better prompt variants using the Karpathy autoresearch pattern.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin brainharness-autoresearch in zning1994/brainharness-autoresearch. Commands read from the repo's manifest — 1 month ago.
brainharness-autoresearchUse when user wants to optimize, improve, benchmark, or evaluate a skill's prompt. Triggers on "optimize skill", "improve skill prompt", "benchmark skill", "eval skill", "run autoresearch", "tune prompt", "prompt optimization", "skill evaluation", "A/B test prompt", "find best prompt", "auto-improve
brainharness-autoresearchAutonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/autoresearch-agent:setup, /ar-run, /ar-loop, /ar-status, /ar-resume), 8 built-in evaluators, configurable loop intervals (10min to monthly).
6 skills · 1 agent · hooks
Autonomous research orchestration using a two-loop architecture. Manages the full research lifecycle from literature survey to paper writing, routing to domain-specific skills for execution. Use when starting a research project, running autonomous experiments, or managing multi-hypothesis research.
98 skills
Optimize any scorable text artifact (prompts, code, configs, agent scaffolds) with GEPA's optimize_anything.
1 skill
Autonomous improvement engine. 14 commands with bounded defaults, chain handoff, and adaptive evals checkpoints. 95% token reduction via modular architecture.
1 skill · 14 commands · hooks
Rewrites your request into an optimized, reasoning-maximizing prompt (structured context, specificity, meta-instructions for extended thinking, skip-comments that preserve quoted text), then immediately carries it out. Ships the /p command.
1 command
Autonomous skill optimizer using Karpathy's autoresearch methodology. Scores outputs 0-100, mutates prompts, keeps improvements. Includes auto-screenshot and stop-gate hooks.
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