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.

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

🌿 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.

🚀 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

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.

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.

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.

Ecosystem-aware CLI for validating and upgrading Agent Skills: enforce spec compliance, detect vendor extensions without breaking, convert large skills into progressive disclosure.

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.

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.

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

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