Progressive Disclosure

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

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

An instruction layer for AI coding agent

11 installable skills for Claude Code, OpenAI Codex, and Hermes, for finding your unknowns before they get expensive: blindspot pass, brainstorms, interviews, references, plans, notes, pitches, a merge quiz, plus a context audit, agent interface design, and progressive disclosure. Community distillation, not official Anthropic.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

XCode CLI & Simulator Skill. Progressive disclosure of output. Minimises context & token use. Lets AI agents build, run sim & drive iOS apps without drowning in Xcode output. Now with Duo support.

dsh-sieve: context engineering & token optimization plugin for DeepSeek Harness (DSH) — tool output filtering, context pruning, progressive skill disclosure. 36% smaller payload in offline replay. DSH 上下文管理与 token 优化节省插件。