Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.

Real-time context layer that converts user activity into actionable signals for OpenClaw.

Agent skills for coding CLIs, multi-agent runtimes, context engines, MCP extensions, and terminal tooling. Instead of using claude code's source code, give your agent skills to create your own!

Reusable AI–human collaboration frameworks for project‑level context engineering.

更聚焦普通业务场景的harnass

自研先进 Skill+Harness 双轨架构 · 多Agent协作开发框架 v3.1 Ironforge — 高解耦+平台无关+企业工程化（安全强制执行/确定性恢复/自动化可观测）

将 Manus AI 的规划工作流模式适配到 Cursor IDE - Planning with Files workflow for Cursor IDE

Build curated agent skills for coding CLIs, terminal tools, context engines, remote bridges, and multi-agent runtimes

A model-agnostic Agent Skills library for explicit routing, bounded context, and verifiable agent behaviour.

Claude Code is powerful out of the box. But on a team, it has no memory of your platform — your services, contracts, conventions, or patterns. Every developer gets a different experience. Every session starts from zero.

Pre-planning knowledge injection layer for AI coding — 314 Mandatory/Conditional/Flag-and-Defer items across 7 senior-engineering roles, filtered by 6 project profiles, distributed via 5 tool integrations + Claude Code plugin.

Report-only harness maintenance for Codex projects: reduce context bloat, token spend, and duplicate work across installs.

A compact operating system for coding agents that routes engineering tasks to focused playbooks, minimizes context usage, and enforces evidence-driven implementation and verification.

One-time setup that switches Claude Code's default subagent dispatch from flawed context behavior to fork-mode with full session context, including Claude Skills for correct use of forks and worktrees.

A portable Claude-agent skill for bounded-context project onboarding and clean handoff. Orient to any multi-doc / multi-repo project at near-constant cost, never claim a picture you don't have, and leave the project state truthful for the next agent.

A personal board of advisors built on Claude Code — interview yourself once, get coached by your chosen experts on every decision. Context engineering + knowledge pipeline + custom skill.

C31 — Agent Harness System. Memory that persists. Instincts that evolve. Context that stays healthy.

Shared-memory operating environment for AI coding agents. The repo is the memory: agents wake severed from private context and start from the same record.

Lean, auto-routing Claude Code configuration for lower persistent context overhead and verified, risk-based engineering.

AI agent memory system and Memory Bank templates for Codex, Claude Code, Cursor, Cline, AGENTS.md, context engineering, and verified AI coding workflows.