Results for agentic-markdown

A Ruby gem for parsing skill files that use YAML frontmatter and markdown body content. Provides document splitting, YAML parsing, schema validation, and returns immutable Skill objects. Designed for agent/AI systems where skills are defined as structured markdown documents with metadata.

A terminal interface to interactively search, select, and bundle markdown notes for AI agent context.

A Jekyll plugin that generates clean Markdown copies of blog posts alongside their HTML output, making your content accessible to AI agents — the 'third audience' of the web. (People who like Markdown can use it too!)

A Jekyll generator that writes a .md file alongside each rendered HTML page, so AI agents and crawlers can fetch clean Markdown (with a small machine- friendly frontmatter block) instead of parsing HTML. Configurable per collection.

SwarmSDK is a complete reimagining of Claude Swarm that runs all AI agents in a single process using RubyLLM for LLM interactions. Define collaborative AI agents in simple Markdown files with YAML frontmatter, and orchestrate them without the overhead of multiple processes or MCP inter-process communication. Perfect for building lightweight, efficient AI agent teams with specialized roles and capabilities.

Generates highly concise, deterministic Markdown coverage digests tailored for LLMs and autonomous agents by matching coverage deficits to their AST semantic boundaries rather than line numbers.

A Rails gem that adds a 'Copy for AI' button to development error pages, allowing you to copy error details as formatted Markdown for easy consumption by AI agents.

Production CLI for ActiveRabbit: status, incidents, explain, trace. Human and machine-readable output (JSON, Markdown). Designed for developers and AI agents.

pikuri-vectordb gives a pikuri-core agent a +vectordb_search+ tool over a local document corpus — agentic search, the agent decides when to retrieve. Ships a swappable backend (a pure-Ruby +Backend::InMemory+ for teaching, plus thin +Backend::Qdrant+ / +Backend::Chroma+ HTTP clients for persistence — Qdrant recommended), a chunker, an embedder wrapper over +RubyLLM.embed+, and an optional +Reranker::LlamaServer+ that speaks +/v1/rerank+ against a cross-encoder model. Text extraction goes through +Pikuri::FileType.read_as_text+ in pikuri-core, which handles plain text / Markdown / PDF; HTML extraction is a deferred follow-up. Hosts wire the feature via +c.add_extension Pikuri::VectorDb::Extension.new(...)+ inside the +Agent.new+ block — same opt-in shape as +pikuri-tasks+ / +pikuri-skills+. The bundled +Pikuri::VectorDb::LIBRARIAN+ persona is the privilege-separated sub-agent counterpart for hosts that want recall to flow through a child rather than the parent's context. Three model endpoints in the full setup — chat (via ruby_llm), an embedder (via +RubyLLM.embed+), and an optional reranker (HTTP +/v1/rerank+). A single +llama-server+ in router mode serves all three by default, loading each cached GGUF on demand; see the gem's README for details.

Chiridion generates documentation optimized for AI agents and LLMs working with Ruby codebases. It extracts documentation from YARD comments, merges RBS type signatures, and produces structured markdown suitable for context injection. Features: - YARD-based documentation extraction - RBS type signature integration (RBS is authoritative) - RSpec example extraction - Obsidian-compatible wikilinks for cross-references - Drift detection for CI/CD pipelines - toys/dx CLI task definitions

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