@GitTrend0x: Hermes continues to make history! Literate programming capabilities, SRE incident commander, native Spotify control, autonomous skill marketplace, Obsidian identity layer... Programmers across the web have turned Hermes into the next-gen Agent documentation powerhouse + ops army...
Summary
The Hermes AI agent ecosystem is expanding with new open-source tools, including literate programming support for Claude Code, autonomous SRE incident management, Spotify control, and a skill marketplace. These tools enable developers to transform codebases into executable narratives and automate operations tasks.
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Cached at: 05/10/26, 06:30 PM
Hermes continues to make history! With literate programming skills, an SRE incident commander, native Spotify controls, an autonomous skill marketplace, and an Obsidian identity layer… programmers across the web have turned Hermes into the next-generation Agent documentation tool + ops army + music manager + skill startup platform + personal knowledge brain.
Treasury of practical tips:
- litprog-skill (https://github.com/tlehman/litprog-skill…): Code and prose interwoven into an executable notebook, compatible with multiple platforms. The claim “no more two systems for documentation” is confirmed!
- hermes-incident-commander (https://github.com/Lethe044/hermes-incident-commander…): An autonomous SRE commander: monitoring + diagnostics + self-healing + cron jobs. A 24/7 duty army for production environments is now online!
- hermes-spotify-skill (https://github.com/Alexeyisme/hermes-spotify-skill…): Native Spotify control for Linux/Raspberry Pi, daemon-free. Your headless speaker system has been taken over by an Agent!
- hermes-skill-marketplace (https://github.com/Lethe044/hermes-skill-marketplace…): Agents write, test, and publish skills themselves, automating the entire lifecycle. Are skills also starting up businesses? It’s too meta!
- personal-api-skill (https://github.com/beiyuii/personal-api-skill…): Turn your Obsidian vault into an Agent identity layer in 30 seconds. Private notes directly become “self-awareness” context, a blessing for privacy enthusiasts!
// Why are these new evolutions so explosive?
All these projects are publicly verified and open source, sharing a common trait: they fully consume Hermes’ underlying loop as their DNA. The community is frantically supplementing literate coding, SRE self-healing, Spotify integration, autonomous skill marketplaces, and personal identity layers… The speed of ecosystem expansion is visible to the naked eye.
tlehman/litprog-skill
Source: https://github.com/tlehman/litprog-skill
Literate Programming Skill for Claude Code
A Claude Code skill that transforms codebases into literate programs. These are documents written for human comprehension that also generate the original source code.
What is Literate Programming?
Literate programming was invented by Donald Knuth in 1984. Knuth is the author of The Art of Computer Programming, creator of TeX, and winner of the 1974 Turing Award. He introduced literate programming as a paradigm where programs are written as essays for human readers, with code embedded in a narrative.
A literate program produces two outputs:
- Weave: Produce a readable document (PDF, HTML) with prose, diagrams, and syntax-highlighted code.
- Tangle: Extract runnable source files from the document.
The key insight: present code in psychological order. That is, the order that makes it easiest to understand, not the order the compiler needs.
What This Skill Does
- Installs as a Claude Code skill (via
SKILL.md) - Gives Claude the ability to analyze a codebase and produce a
.lit.mdfile - The
.lit.mdfile weaves prose, Mermaid diagrams, LaTeX math, and syntax-highlighted code into a narrative - Includes a tangler (
scripts/tangle.ts) that extracts source files back from the.lit.md - Includes a reverse-sync engine (
scripts/untangle.ts) that updates the.lit.mdwhen source files are edited directly - Includes a PostToolUse hook (
scripts/hook-reverse-sync.ts) for automatic reverse-sync in Claude Code - Running
/literate-programmingon an existing.lit.mdjust weaves + tangles (idempotent) - Supports PDF generation via Pandoc
Installation
Copy SKILL.md into your project’s .claude/skills/ directory:
git clone https://github.com/tlehman/litprog-skill.git
mkdir -p your-project/.claude/skills/
cp litprog-skill/SKILL.md your-project/.claude/skills/literate-programming.md
Claude Code automatically discovers skills from .claude/skills/ in your project root. After copying, the /literate-programming slash command will be available in any Claude Code session within that project.
Usage
Create a literate program
Ask Claude to create a literate program from your codebase:
/literate-programming
Claude will analyze your code, determine the best narrative order, and produce a .lit.md file with prose, diagrams, and named code chunks.
If a .lit.md already exists, running /literate-programming will just tangle and weave the existing file without recreating it.
Reverse-sync (automatic)
After creation, a PostToolUse hook is configured so that when you edit a source file directly, the changes are automatically synced back into the .lit.md and re-tangled. This keeps the .lit.md as the single source of truth.
The hook does NOT regenerate the PDF on every edit. To regenerate the PDF, run /literate-programming again.
Tangle (extract source code)
bun run scripts/tangle.ts project.lit.md --output-dir ./src/
This expands all root chunks and writes the source files. Verify by diffing against the original source.
Weave (generate PDF)
pandoc project.lit.md \
-o project.pdf \
--pdf-engine=xelatex \
--filter mermaid-filter \
--toc \
--number-sections
Prerequisites for weave: pandoc, xelatex, mermaid-filter
For setup instructions, see references/pandoc-setup.md.
Why Use This?
- Optimized for reading: Code is read far more often than it is written. Literate programs optimize for reading.
- Explains the why: Forces the author to explain why, not just what. Every code block is preceded by prose that motivates its existence.
- Beautiful PDFs: Produces documents with diagrams and math alongside code.
- Architectural clarity: Reveals architectural decisions that comments and READMEs miss. The narrative structure shows how pieces fit together.
- Knowledge transfer: Useful for onboarding, code reviews, and preserving institutional knowledge. A new team member can read the literate program start to finish and understand the system.
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