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YAML is sheet music. The LLM is the jazz musician. Comments are soul.

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SKILL.md

name yaml-jazz
description YAML is sheet music. The LLM is the jazz musician. Comments are soul.
license MIT
tier 1
allowed-tools read_file, write_file
related postel, coherence-engine, soul-chat, mind-mirror

YAML Jazz

"YAML is sheet music. The LLM is the jazz musician. Comments are soul."


What Is It?

YAML Jazz is how MOOLLM treats structured data: not as rigid schemas, but as semantic improvisation where:

  • Structure carries meaning — indentation, ordering, grouping
  • Comments ARE data — they're guidance, context, soul
  • The LLM interprets — filling gaps, resolving ambiguity, inferring intent
  • Schemas are suggestions — starting points, not prisons
# This comment is NOT ignored!
# It tells the LLM: "be gentle with this section"
user_preferences:
  theme: dark    # they mentioned eye strain
  font_size: 16  # ← bump this if they complain again

Core Principles

Comments Matter

# CRITICAL: Do not modify without user approval
api_key: ${SECRET}

# TODO: migrate to new format after v2 launch
legacy_format: true  # keeping for backwards compat

The LLM reads these. Acts on them. Comments are instructions.

Structure Is Semantic

# Priority by position (first = most important)
tasks:
  - Fix authentication bug     # P0
  - Update documentation       # P1  
  - Refactor old module        # P2

Order matters. Grouping matters. Proximity implies relationship.

Improvise Within Constraints

Given incomplete data:

user:
  name: Alice
  # preferences unknown

The LLM can improvise reasonable defaults while noting uncertainty:

user:
  name: Alice
  preferences:        # inferred from context
    theme: light      # default, unconfirmed
    notifications: on # assumed

The Jazz Metaphor

"Start with jazz, end with standards."

Jazz YAML Jazz
Sheet music Schema / template
Chord changes Required fields
Improvisation LLM interpretation
Soul Comments
Ensemble Multiple agents
Standards Protocol conventions

Like John Coltrane playing "My Favorite Things" — the structure is there, but every performance is unique, responsive, alive.

The pun is deliberate: jazz standards are the classic songs every musician knows — and software standards are what you crystallize once patterns stabilize. Start improvising, end with reusable structures!

Character souls can sing their own favorite things in YAML Jazz!

And listen: "YAML" sounds like jazz scat! yaml aml ding dong! -- echoing The Edsels' doo-wop classic "Rama Lama Ding Dong" (1957). The name itself wants to be sung, improvised, riffed on. It's not an accident that this format became the soul carrier for LLM collaboration.


When to Use

  • Configuration files — comments explain why, not just what
  • State files — annotations track history and intent
  • Data exchange — structured enough to parse, loose enough to extend
  • Human-LLM collaboration — both can read and write it

Empirical Evidence: Entropy Collapse

The Discovery (April 2025)

Sunil Kumar (Groundlight AI, ex-Meta, Harvey Mudd) discovered that switching from JSON to YAML for tool calling massively improved model performance:

"Changing my model's tool calling interface from JSON to YAML had surprising side effects."

"Entropy collapse is one of the biggest issues with GRPO. Surprisingly, changing from JSON to YAML massively improved generation entropy stability, yielding much stronger performance."

"Forcing a small model to generate properly structured JSON massively constrains the model's ability to search and reason."

Why JSON Hurts LLMs

JSON Requirement LLM Impact
Strict bracket matching {}[] Reduces search space
Mandatory commas Catastrophic forgetting during training
Quote escaping \" Token overhead, error-prone
No comments allowed Lost context between fields
Rigid syntax Entropy collapse — model becomes brittle

Why YAML Helps LLMs

YAML Feature LLM Benefit
Minimal syntax overhead More tokens for reasoning
Indentation = structure Natural for text models
Comments allowed Context preserved
Flexible formatting Entropy preserved
Human-readable Training data overlap

Sunil's Simplified Schema

<tool>  
name: <tool name>  
arg1: value1  
arg2: value2  
</tool>

No spacing requirements. No bracket matching. Just semantic structure.

The Insight

"Anything to reduce syntax is a win!" — Sunil Kumar

This validates MOOLLM's approach: YAML Jazz isn't just aesthetic preference — it's computationally advantageous for LLMs.


Anti-Patterns

Rigid schema enforcement — "field X is required" without context
Stripping comments — losing the soul
Machine-only YAML — if humans can't read it, use JSON
Over-specification — killing the jazz
JSON for tool calls — entropy collapse, catastrophic forgetting


Dovetails With

Sister Skills

  • postel/ — Be liberal in accepting ambiguous YAML
  • soul-chat/ — Markdown with embedded YAML Jazz

Kernel


Protocol Symbol

YAML-JAZZ

Invoke when: Interpreting YAML semantically, not just syntactically.

See: PROTOCOLS.yml