A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.

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

An instruction layer for AI coding agent

A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.

Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.

🌿 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.

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

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

Persistent project-scoped knowledge base for Claude Code and Codex: quick and deep research depths, contrarian pass, source-independence rules measured on DeepResearch Bench II. Tested end to end on Haiku agents and a local 35B under noob-cli. Installs via npx skills add, /plugin install, codex marketplace, or git clone.

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

Search 1,000 MCP tools through two interfaces in DeepSeek Harness. Load exact schemas on demand and keep structured results usable across tool calls.

Opt-in Codex Skill and plugin for reliable coding: reactive failure recovery, elastic agent teams, task DAGs, one canonical writer, and assured delivery.

Progressive tool discovery for DeepSeek Harness — tiny stable surface, searchable catalog, real pipeline execution, context cache intact.

Reasoning layer for the official DeepSeek Harness: every request stays on native max effort, with isolated Flash/Vision/Pro depth controls, stability axes and reasoning toolboxes built above it. Delivered build only; commercial use open, reverse/modify/extract closed.

MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls

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

A shared, resumable AI development workflow backed by project-local specs, rules, and change records. Skills guide agents; the CLI handles deterministic steps.

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

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.