Sandbox
67 repos for markdown · CodexClear
JimmySadek/
youtube-fetcher-to-markdown

Portable AI-agent skill: capture YouTube transcripts as Obsidian-ready Markdown with metadata, linked timestamps, language selection, and subtitle exports

470
string-os/
string
string-os/stringFrameworks & SDKs

Markdown that runs — one file, any agent.

67
Amal-David/
pagecast

Publish HTML, Markdown and static mini apps to shareable Cloudflare Pages URLs from the terminal or coding agents.

189
pc-style/
x-md
pc-style/x-mdConnectors

Turn public X posts, profiles, and search into compact Markdown or JSON for agents. Hosted at x.pcstyle.dev.

141
danjdewhurst/
story-skills

Agent Skills for end-to-end story writing in markdown, packaged as Codex and Claude Code plugins.

215
zhitongblog/
solomd

A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.

1k
petergyang/
human-review

A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.

1.2k

Portable Agent Skills for building and maintaining Open Knowledge Format project wikis in plain Markdown.

35
libnyx/
LT2MD

AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks an earlier conversion against the PDF and fixes misread or missing parts. Long PDFs run in small saved batches with an independent review pass, each paragraph tagged with its page.

114
wangxin6x/
AutoVideo-Agent

Agent-friendly Markdown-to-video automation pipeline with reproducible rendering and pluggable media providers.

92
shinpr/
sub-agents-mcp

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

98
ViryaZheng/
wrap-skill

A Claude Code skill that consolidates scattered project markdown files into a single canonical CLAUDE.md, with a pinned PROGRESS block at the top.

56
liatrio-labs/
spec-driven-workflow

Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology

93
iamtouchskyer/
memex

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

141

Turn your markdown vault into a compounding knowledge wiki (Karpathy inspired). Six agent skills - knowledge grows with every conversation. Works with Obsidian, Logseq, etc. or just folders on your local drive. Compiled memory for your LLM sessions. Crossplatform. GUI install on Claude Desktop, no terminal, no code.

64

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

2.6k
zhu1090093659/
spec_driven_develop

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

979

Project memory for coding agents and humans: the reasoning behind a codebase as Markdown in the repo, versioned by Git, so nothing rejected is proposed twice. No database, no daemon, no account.

155
danielmeppiel/
genesis

Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.

68
tigerless-labs/
design-harness

Feed your agent papers and half-formed ideas — it links them into a system design you can defend. Markdown keeps the record; a visual canvas makes it readable. An Agent Skill for Claude Code & any SKILL.md-compatible agent.

217

A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.

86
yogsoth-ai/
de-anthropocentric-research-engine

900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

456