AI Agent Skills

用于升级 AI 系统、agent workflow、Codex skill、prompt、memory、RAG、tool routing、schema、eval set 或 feedback loop；也用于把 AI 工作单从指令单升级为意图单，并对研究、检索、测试和 AI 对话做 VOI 决策门审计。需要 Intent Work Or…

Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Powered by MyClaw.ai. Works…

GBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.

Long-Term Evolution Project of Reinforcement Learning

ClawCode is claude code inspired implementation in python and Rust focused on agents and experience-based evolution, and is an Open-source coding-agent CLI for Anthropic…

Advises on API versioning strategies, designs deprecation flows, generates migration guides, and handles breaking vs non-breaking change classification. Use whenever the…

SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombinat…

运行时自扩展工具AI Self-Evolving AI Agent Framework | Decision-Loop Driven Microkernel Architecture with Hot-Pluggable Components & Triple-Layer Memory | Agent Infinite Evolutio…

Run the WikiSkill self-evolution loop (arXiv 2608.27454) on a Hermes workspace — raw→maintainer→proposer→gate with strict R_val > R_best gating.

Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimen…

Queries FUTBIN (EA FC Ultimate Team database) via cli-web-futbin — player search, prices and price history, comparisons, SBCs, evolutions, and market analytics (index, t…

Use this skill to map the **genealogical lineage and historical progression** of a research field. It is designed to visualize the **evolutionary path of ideas**, showin…

20-interface AI agent framework with 3-layer architecture, multi-agent delegation, and self-evolution.

Apply Pulak Prasad evolutionary investing rules for avoiding big losses,

Use when the user wants to evolve an ML model/program through population-based search rather than a single sequential refine loop — a generational evolution where parall…

Benchmark-gated skill evolution — consume bigpowers-benchmark report, propose plan-work change, edit skill via craft-skill, re-run benchmark, record ADR. Use when a skil…