A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture

Palestra técnica sobre Spec-Driven Development (SDD) com GitHub Copilot

Claude Code skill for optimizing oversized CLAUDE.md files using progressive disclosure

Progressive file disclosure for agentic AI - explore files hierarchically with plugin-based analyzers

Progressive disclosure retrieval for long-horizon AI agents over personal knowledge bases. Three-tier model: hot cache → FTS5 index → full read. Local-first, zero dependencies.

🌿 Prune your AI agent's context window. Reduce token usage by 70-95% with hierarchical memory. Replace flat MEMORY.md with a bonsai-shaped domain tree. Progressive disclosure, zero dependencies. Works with OpenClaw and any LLM agent framework.

🛠️ Discover essential skills and tools for AI coding agents to enhance capabilities and streamline the development of intelligent solutions.

🚀 Explore modular agent skills for dynamic AI development, enabling on-demand knowledge injection through standardized `SKILL.md` packages.

Desktop app (Tauri 2 + SolidJS) to compose Claude Code workspaces with curated skill packages, MCP servers, hooks, commands & CORE-documenten — OpenAEC Foundation

Claude Code Plugin for Multi-session AI development with smart context loading

An AI skill for estimating AI-assisted and hybrid human+agent development work. Research-backed formulas. PERT statistics. Calibration feedback loops. Zero dependencies.

Cross-agent skill quality gate for SKILL.md files. Validates frontmatter, scores description discoverability, checks file references, enforces three-tier token budgets, and flags compatibility issues across Claude Code, VS Code/Copilot, Codex, and Cursor.

Generate progressive-disclosure interfaces from complex APIs via My-Lang

Section-level SQLite library for Claude Code skills — search, checkout, and compose any part of any file with 99% token savings.

Turn-based political sim where policy decisions ripple through 14 competing factions. Manage legitimacy, navigate crises, and survive your rival across 10 possible endings. Built with React + TypeScript via Claude Code, with deterministic testing and accessibility features.

Production-quality Claude/OpenClaw skill builder following Anthropics official design patterns

An open-source, terminal-native extension framework for AI agents. CSH uses progressive disclosure (CLI + Skills + Hooks) to achieve 98% token reduction and JIT prompt injection, eliminating MCP context bloat.

Provide a fast, precise retrieval layer that connects AI agents with personal knowledge bases to enhance context understanding and reduce noise.

Prodis, short for Progressive disclosure, is an application made with Symfony for creating documentation that reads more like a walkthrough than a tome.