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toon-formatter

toon-formatter

github.com/raintree-technologyData & databases144 installs
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About toon-formatter

toon-formatter is a format guidance skill for converting structured data between JSON and TOON. It helps developers and agents choose compact representations for uniform arrays and provides conversion and validation commands.

Key features

  1. 01Guidance for choosing TOON or JSON
  2. 02Tabular and inline representations
  3. 03Nested key folding and delimiters
  4. 04Encode, decode, and validate commands
  5. 05Token-size comparison

Use cases

  1. 01Compressing repeated API response data
  2. 02Formatting database rows or log entries
  3. 03Checking TOON syntax and conversion output
  4. 04Comparing JSON and TOON token sizes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/raintree-technology/claude-starter --skill toon-formatter

After installing, type/toon-formatterin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

skill.json
docs/
INSTALL.md
toon-guide.md

Details

From the project README

TOON v2.0 Format Expert

TOON (Token-Oriented Object Notation) saves 30-60% tokens on structured data by eliminating repetitive keys in uniform arrays.

When to Use

Automatically apply TOON when:

  • Arrays with 5+ similar objects
  • API responses with repeated structure
  • Database query results
  • Log entries, events, transactions
  • Metrics, analytics, benchmarks
  • Any tabular data

Keep as JSON when:

  • Small arrays (<5 items)
  • Deeply nested non-uniform data
  • Single objects
  • Narrative text or instructions

Format Specification

Tabular Format (Most Common)

For arrays of uniform objects:

[count]{field1,field2,field3}:
  value1,value2,value3
  value1,value2,value3

Example - JSON (120 tokens):

[
  {"id": 1, "name": "Alice", "role": "admin", "active": true},
  {"id": 2, "name": "Bob", "role": "user", "active": true},
  {"id": 3, "name": "Carol", "role": "user", "active": false}
]

TOON (70 tokens, 42% savings):

[3]{id,name,role,active}:
  1,Alice,admin,true
  2,Bob,user,true
  3,Carol,user,false
Inline Format

For primitive arrays (10 or fewer items):

fieldName[count]: value1,value2,value3

Example:

tags[4]: javascript,react,nodejs,api
ids[3]: 101,102,103
Expanded Format

For complex nested values (one per line):

items[3]|:
  | {"complex": "object1"}
  | {"complex": "object2"}
  | {"complex": "object3"}
Delimiters

Choose based on data content:

DelimiterSyntaxUse When
Comma[N]Default, no commas in values
Tab[N\t]Values contain commas
Pipe[N|]Values contain commas and tabs

Tab-delimited example:

[2\t]{name,description}:
  Product A	A great product, really
  Product B	Another one, even better
Key Folding (Nested Objects)

Flatten nested structures:

server.host: localhost
server.port: 8080
server.ssl.enabled: true
database.url: postgres://localhost/db
Special Values
ValueTOON Representation
null~
empty string""
truetrue
falsefalse

Conversion Patterns

API Response

Before (JSON):

{
  "users": [
    {"id": 1, "email": "[email protected]", "plan": "pro"},
    {"id": 2, "email": "[email protected]", "plan": "free"},
    {"id": 3, "email": "[email protected]", "plan": "pro"}
  ],
  "total": 3
}

After (TOON):

users[3]{id,email,plan}:
  1,[email protected],pro
  2,[email protected],free
  3,[email protected],pro
total: 3
Log Entries

Before (JSON):

[
  {"ts": "2024-01-15T10:00:00Z", "level": "INFO", "msg": "Server started"},
  {"ts": "2024-01-15T10:00:01Z", "level": "DEBUG", "msg": "Connection pool ready"},
  {"ts": "2024-01-15T10:00:02Z", "level": "INFO", "msg": "Listening on :8080"}
]

After (TOON):

[3]{ts,level,msg}:
  2024-01-15T10:00:00Z,INFO,Server started
  2024-01-15T10:00:01Z,DEBUG,Connection pool ready
  2024-01-15T10:00:02Z,INFO,Listening on :8080
Database Results

Before (JSON):

[
  {"product_id": 101, "name": "Widget", "price": 29.99, "stock": 150},
  {"product_id": 102, "name": "Gadget", "price": 49.99, "stock": 75},
  {"product_id": 103, "name": "Gizmo", "price": 19.99, "stock": 200}
]

After (TOON):

[3]{product_id,name,price,stock}:
  101,Widget,29.99,150
  102,Gadget,49.99,75
  103,Gizmo,19.99,200
Mixed Content

Combine formats as needed:

config.name: MyApp
config.version: 1.0.0
config.features[3]: auth,logging,metrics

endpoints[4]{method,path,auth}:
  GET,/api/users,required
  POST,/api/users,required
  GET,/api/health,none
  DELETE,/api/users/:id,admin

tags[5]: api,rest,json,http,web

Decision Flowchart

Is it an array?
├─ No → Use standard JSON/key-value
└─ Yes → How many items?
    ├─ <5 → Keep as JSON (overhead not worth it)
    └─ ≥5 → Are objects uniform (≥60% same keys)?
        ├─ No → Use expanded format
        └─ Yes → Are values primitives?
            ├─ Yes, ≤10 items → Inline format
            └─ Otherwise → Tabular format

Token Savings Reference

Data TypeTypical Savings
User lists40-50%
Log entries35-45%
API responses30-50%
Database rows45-55%
Event streams40-60%
Config arrays25-35%

Binary Encoder

A compiled Zig encoder (20x faster than JS) is available:

# Encode JSON to TOON
.claude/utils/toon/bin/toon encode data.json

# Decode TOON to JSON  
.claude/utils/toon/bin/toon decode data.toon

# Check if TOON recommended
.claude/utils/toon/bin/toon check data.json

# Analyze token savings
.claude/utils/toon/bin/toon analyze data.json

Commands

CommandDescription
/toon-encode <file>Convert JSON to TOON
/toon-decode <file>Convert TOON to JSON
/toon-validate <file>Validate TOON syntax
/analyze-tokens <file>Compare JSON vs TOON size
/convert-to-toon <file>Full conversion workflow

Best Practices

DO:

  • Use TOON for data payloads in RAG pipelines
  • Apply to tool call responses with arrays
  • Convert benchmark results and metrics
  • Use tab delimiter when values have commas

DON'T:

  • Convert small arrays (<5 items)
  • Force non-uniform data into tabular format
  • Use for deeply nested structures
  • Apply to human-readable documentation

Resources

Comments

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