Transforms AI agents from passive executors into proactive collaborators that learn patterns, expand intent, predict next steps, verify outputs, avoid slop, and self-improve across any host environment.
ChatGPT-ready version of Step Beyond. A compact behavioral skill for Custom GPTs, ChatGPT Projects, ChatGPT Agent Mode, and normal chats. It helps ChatGPT complete the user's real intent, add one useful next step when appropriate, verify claims, avoid AI slop, and learn stable work preferences without storing sensitive data.
Proactive enhancement layer for AI agents โ Recall, Expand, Polish, Extend, Anticipate, Verify, Learn, Self-Improve. Framework-agnostic behavioral module with a universal adapter that runs on Claude Code, Codex, Hermes, OpenClaw, Cursor, opencode, Gemini CLI, and any custom loop. Transforms literal executors into proactive collaborators that learn user patterns from any memory store (Obsidian, MCP memory, files), scan the live environment (stack, git history, conventions, docs) before acting, upgrade prompts into full intent, take engineer-grade initiative that advances the goal instead of generic filler, predict the next request, verify everything before delivery, scan for AI slop, orchestrate subagents when available, onboard themselves to any host on first run, and run a self-improvement loop that sharpens their own heuristics over time. Use when acting as an agent on any creative, technical, or research task.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub aievolutionpl/step-beyondAuto-improving AI sub-agents that learn from their mistakes across sessions
HelloAGENTS โ The orchestration kernel that makes any AI CLI smarter. Adds intelligent routing, unified QA gates, safety guards, and notifications.
Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Persistent, local-first shared memory for AI agents. Corrections, preferences, and conventions persist across sessions, tools, and machines โ stored as plain YAML on your disk, with zero-cost local search.
Agentic engineering done right โ 57 structured workflows, 17 specialist agent personas, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.
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