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Dev tools · January 9, 2026

EM

Executable Markdown files with Unix pipes

I wanted to run markdown files like shell scripts. So I built an open source tool that lets you use a shebang to pipe them through Claude Code with full stdin/stdout support. task.md: #!/usr/bin/env claude-run Analyze this codebase and summarize the architecture. Then: chmod +x task.md ./task.md These aren't just prompts. Claude Code has tool use, so a markdown file can run shell commands, write scripts, read files, make API calls. The prompt orchestrates everything. A script that runs your tests and reports results (`run_tests.md`): #!/usr/bin/env…

Alternativestop 6% of January 2026

In plain words

This open source tool makes markdown files executable like shell scripts using a shebang and Unix pipes. Users can write markdown files that pipe through Claude Code to perform tasks such as analyzing codebases, running tests, or processing data with full stdin/stdout support. The markdown files gain access to Claude's tool use capabilities, enabling them to run shell commands, write scripts, read files, and make API calls. Multiple files can be chained together in Unix pipelines, treating markdown documents as composable command-line programs.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I wanted to run markdown files like shell scripts. So I built an open source tool that lets you use a shebang to pipe them through Claude Code with full stdin/stdout support. task.md: #!/usr/bin/env claude-run Analyze this codebase and summarize the architecture. Then: chmod +x task.md ./task.md These aren't just prompts. Claude Code has tool use, so a markdown file can run shell commands, write scripts, read files, make API calls. The prompt orchestrates everything. A script that runs your tests and reports results (`run_tests.md`): #!/usr/bin/env claude-run --permission-mode bypassPermissions Run ./test/run_tests.sh and summarize what passed and failed. Because stdin/stdout work like any Unix program, you can chain them: cat data.json | ./analyze.md > results.txt git log -10 | ./summarize.md ./generate.md | ./review.md > final.txt Or mix them with traditional shell scripts: for f in logs/\*.txt; do cat "$f" | ./analyze.md >> summary.txt done This replaced a lot of Python glue code for us. Tasks that needed LLM orchestration libraries are now markdown files composed with standard Unix tools. Composable as building blocks, runnable as cron jobs, etc. One thing we didn't expect is that these are more auditable (and shareable) than shell scripts. Install scripts like `curl -fsSL https://bun.com/install | bash` could become: `curl -fsSL https://bun.com/install.md | claude-run` Where install.md says something like "Detect my OS and architecture, download the right binary from GitHub releases, extract to ~/.local/bin, update my shell config." A normal human can actually read and verify that. The (really cool) executable markdown idea and auditability examples are from Pete Koomen (@koomen on X). As Pete says: "Markdown feels increasingly important in a way I'm not sure most people have wrapped their heads around yet." We implemented it and added Unix pipe semantics. Currently works with Claude Code - hoping to support other AI coding tools too. You can also route scripts through different cloud providers (AWS Bedrock, etc.) if you want separate billing for automated jobs. GitHub: https://github.com/andisearch/claude-switcher What workflows would you use this for?

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