Habilidades toon-format
📊

toon-format

Seguro ⚙️ Comandos externos🌐 Acesso à rede📁 Acesso ao sistema de arquivos

Format data efficiently with TOON notation

JSON wastes tokens in LLM prompts. TOON reduces token usage by 30-60% while keeping data human-readable. Transform tabular data into a compact format optimized for AI consumption.

Suporta: Claude Codex Code(CC)
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A utilizar "toon-format". Convert a list of API endpoints to TOON format

Resultado esperado:

  • api_endpoints[3]{method,path,description,auth}:
  • GET,/users,List all users,none
  • POST,/users,Create new user,bearer
  • DELETE,/users/{id},Delete user,bearer
  •  
  • meta:
  • version: 1.0
  • last_updated: 2025-01-10

A utilizar "toon-format". Format a library index with metadata

Resultado esperado:

  • meta:
  • category: libraries
  • count: 3
  •  
  • items[3]{id,name,description,path}:
  • baml,BAML,Structured LLM outputs,lib/baml
  • mcp,MCP,Tool integration,lib/mcp
  • prisma,Prisma,Database ORM,lib/prisma

Auditoria de Segurança

Seguro
v5 • 1/16/2026

Pure documentation skill containing only markdown files with format rules and validation examples. No executable code, scripts, or network operations. All 142 static findings are false positives from the scanner misinterpreting documentation code blocks as executable shell commands and example hash values as cryptographic operations.

4
Arquivos analisados
658
Linhas analisadas
3
achados
5
Total de auditorias

Fatores de risco

⚙️ Comandos externos (105)
reference/format-rules.md:9-13 reference/format-rules.md:13-17 reference/format-rules.md:17-19 reference/format-rules.md:19-23 reference/format-rules.md:23-32 reference/format-rules.md:32-42 reference/format-rules.md:42-47 reference/format-rules.md:47-51 reference/format-rules.md:51-53 reference/format-rules.md:53-55 reference/format-rules.md:55-59 reference/format-rules.md:59-66 reference/format-rules.md:66-70 reference/format-rules.md:70-74 reference/format-rules.md:74-75 reference/format-rules.md:75 reference/format-rules.md:75-76 reference/format-rules.md:76 reference/format-rules.md:76-77 reference/format-rules.md:77 reference/format-rules.md:77-78 reference/format-rules.md:78 reference/format-rules.md:78-79 reference/format-rules.md:79 reference/format-rules.md:79 reference/format-rules.md:79-80 reference/format-rules.md:80 reference/format-rules.md:80-87 reference/format-rules.md:87-98 reference/format-rules.md:98-102 reference/format-rules.md:102-120 reference/format-rules.md:120-125 reference/format-rules.md:125-127 reference/format-rules.md:127-130 reference/format-rules.md:130-135 reference/validation-tools.md:7-13 reference/validation-tools.md:13-15 reference/validation-tools.md:15 reference/validation-tools.md:15-21 reference/validation-tools.md:21-42 reference/validation-tools.md:42-46 reference/validation-tools.md:46-53 reference/validation-tools.md:53-59 reference/validation-tools.md:59 reference/validation-tools.md:59-60 reference/validation-tools.md:60 reference/validation-tools.md:60-71 reference/validation-tools.md:71-72 reference/validation-tools.md:72 reference/validation-tools.md:72-78 reference/validation-tools.md:78-84 SKILL.md:14 SKILL.md:14 SKILL.md:19 SKILL.md:21 SKILL.md:30 SKILL.md:32 SKILL.md:33 SKILL.md:35 SKILL.md:43 SKILL.md:44 SKILL.md:50 SKILL.md:55 SKILL.md:75-79 SKILL.md:79-82 SKILL.md:82-84 SKILL.md:84-87 SKILL.md:87-95 SKILL.md:95-101 SKILL.md:101-105 SKILL.md:105-108 SKILL.md:108-109 SKILL.md:109-111 SKILL.md:111-114 SKILL.md:114-121 SKILL.md:121-126 SKILL.md:126-136 SKILL.md:136-139 SKILL.md:139-157 SKILL.md:157-162 SKILL.md:162-164 SKILL.md:164-167 SKILL.md:167-171 SKILL.md:171-177 SKILL.md:177-178 SKILL.md:178-185 SKILL.md:185-187 SKILL.md:187-193 SKILL.md:193 SKILL.md:193-197 SKILL.md:197-198 SKILL.md:198 SKILL.md:198-199 SKILL.md:199 SKILL.md:199-200 SKILL.md:200 SKILL.md:200-201 SKILL.md:201 SKILL.md:201-202 SKILL.md:202 SKILL.md:202 SKILL.md:202-203 SKILL.md:203 SKILL.md:203-207 SKILL.md:207-219
🌐 Acesso à rede (7)
reference/format-rules.md:106 reference/validation-tools.md:64 reference/validation-tools.md:65 skill-report.json:6 SKILL.md:143 SKILL.md:179 SKILL.md:180
📁 Acesso ao sistema de arquivos (4)
reference/validation-tools.md:9 reference/validation-tools.md:49 skill-report.json:6 SKILL.md:209
Auditado por: claude Ver Histórico de Auditoria →

Pontuação de qualidade

38
Arquitetura
100
Manutenibilidade
87
Conteúdo
21
Comunidade
100
Segurança
83
Conformidade com especificações

O Que Você Pode Construir

Optimize LLM prompt data

Reduce token costs by encoding documentation and indexes in TOON format before sending to language models.

Create efficient documentation indexes

Build structured indexes and manifests that consume fewer tokens when processed by AI systems.

Format tabular data for AI processing

Transform CSV-like datasets into TOON for more efficient LLM consumption and analysis.

Tente Estes Prompts

Convert JSON to TOON 
Convert this JSON array to TOON format with proper syntax: use explicit count, 2-space indentation, and add blank line after arrays. Here's the JSON: [paste your data]
Validate TOON file 
Validate this TOON file and fix any syntax errors: missing counts, wrong indentation, or formatting issues. Show the corrected version: [paste your TOON]
Design tabular structure 
Help me design a TOON format for this data. Show how to structure it as tabular arrays with proper column definitions: [describe your data]
Batch convert documents 
Create a script to convert these documentation files to TOON format. Include validation and error handling: [list your files]

Melhores Práticas

  • Always validate with npx @toon-format/cli --decode before using in production
  • Design data structures for tabular representation when possible
  • Keep JSON as canonical source and generate TOON for LLM transport

Evitar

  • Using TOON for deeply nested or irregular data structures
  • Including comments or YAML-style lists in TOON files
  • Forgetting blank lines after tabular arrays

Perguntas Frequentes

Is TOON compatible with standard JSON parsers?
No, TOON requires specialized parsers. Use official libraries for TypeScript (@toon-format/toon) and Python (python-toon).
What are the token savings compared to JSON?
TOON typically saves 30-60% tokens by using compact tabular syntax and removing unnecessary punctuation.
Can I use TOON for configuration files?
No, use JSON instead. TOON is optimized for LLM prompts, not for tools that expect standard JSON.
How do I handle validation errors?
Run the auto-fix scripts in order from validation-tools.md, then re-validate with npx @toon-format/cli --decode.
Does TOON support all JSON features?
No, TOON lacks comments, YAML-style lists, and multiline strings. It's designed for tabular data efficiency.
When should I choose TOON over JSON?
Use TOON for uniform tabular data sent to LLMs. Use JSON for configuration, APIs, or programmatic data manipulation.

Detalhes do Desenvolvedor

Licença

MIT

Repositório

https://github.com/Consiliency/treesitter-chunker/tree/main/.ai-dev-kit/skills/toon-format

Referência

main

Estrutura de arquivos

📁 reference/

📄 format-rules.md

📄 validation-tools.md

📄 SKILL.md