c4-modeling
79Create Clear C4 Architecture Diagrams
Architecture discussions become confusing when diagrams mix detail levels or omit relationships. This skill creates structured C4 views and reviews them against consistent guidelines.
Encode Structured Data in TOON
JSON can consume excessive prompt tokens when records repeat the same keys. This skill converts suitable structures into compact TOON and validates format rules.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "toon-format" from https://skillstore.io/skills/consiliency-toon-format.md and its manifest at https://skillstore.io/api/skills/consiliency-toon-format/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "toon-format". Three user records with identical id, name, and role fields.
Expected outcome:
A three-row TOON table with explicit count, named columns, two-space indentation, and a terminating blank line.
Using "toon-format". A deeply nested configuration containing irregular objects and optional fields.
Expected outcome:
A recommendation to retain JSON because the structure is not uniform and receives little benefit from tabular encoding.
Using "toon-format". A TOON table with a missing count, unindented rows, and comma-separated nested values.
Expected outcome:
A corrected table with an explicit count, indented rows, semicolon-separated nested values, and a concise correction summary.
Most static findings are Markdown notation, data examples, documentation links, or harmless output redirection. Three findings confirm instructions to execute an unpinned npm CLI and local repair scripts, creating supply-chain and file-modification risks.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/consiliency-toon-format/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/consiliency-toon-format?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/consiliency-toon-format?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/consiliency-toon-format/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/consiliency-toon-format.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Consiliency. (2026). toon-format security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/consiliency-toon-format/audits/9@techreport{consiliency-consiliency-toon-format-2026,
author = {Consiliency},
title = {toon-format security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/consiliency-toon-format/audits/9},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "toon-format security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "Consiliency"
date-released: "2026-07-13"
url: "https://skillstore.io/skills/consiliency-toon-format/audits/9"
identifiers:
- type: other
value: "skillstore:consiliency-toon-format:audit:9"
description: "Skillstore immutable audit report identifier"
Convert repeated business records into a tabular TOON representation for lower prompt overhead.
Create compact indexes containing paths, summaries, priorities, and search terms for LLM retrieval.
Review generated TOON files for counts, indentation, delimiters, and termination before pipeline use.
Convert these uniform records to TOON. Include explicit array counts, two-space row indentation, and a blank line after each table: [paste records]
Review this data structure and choose TOON or JSON. Explain the choice, then encode it when TOON is suitable: [paste structure]
Inspect this TOON text for count, indentation, comment, delimiter, multiline, and termination errors. Return corrected TOON and summarize each correction: [paste text]
Redesign this dataset for compact TOON transport. Preserve every value, minimize repeated keys, identify lossy choices, and provide a validation checklist: [paste dataset]
Author
ConsiliencyLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/Consiliency/treesitter-chunker/tree/main/.ai-dev-kit/skills/toon-formatRef
635f69fb8d2f4e6330ba47a4e5a0fb239c04d110
Maintenance freshness
7/18/2026
Usage
6 downloads ยท 327 views
File structure
Create Clear C4 Architecture Diagrams
Architecture discussions become confusing when diagrams mix detail levels or omit relationships. This skill creates structured C4 views and reviews them against consistent guidelines.
Retrieve Local Documentation Efficiently
Finding relevant local documentation can waste time and context. This skill guides targeted retrieval, source consolidation, and web fallback when local coverage is insufficient.
Research Topics Across Web, Docs, and Code
Research questions often require current web evidence, local documentation, and code examples. This skill coordinates those sources and synthesizes findings with clear confidence labels.
Build Project Testing Patterns
Teams often write inconsistent tests that are hard to maintain. This skill gives Claude, Codex, and Claude Code a shared testing structure for fixtures, mocks, coverage, and CI scope.
Research Projects With Verified Sources
Research tasks often lose scope, citations, and source quality. This skill gives Claude, Codex, and Claude Code a repeatable research workflow.
Generate Multi-Language Test Scaffolds
Creating consistent test skeletons across mixed-language repositories takes time. This skill analyzes public symbols and generates framework-specific scaffolds with fixtures, mocks, and TODO markers.
Extract Website Data with Firecrawl Agent
by firecrawl
Complex websites often require multi-page navigation before data can be collected. This skill guides Claude, Codex, or Claude Code to run Firecrawl Agent and return structured website data.
Extract Structured Website Data with Playwright
by actionbook
Dynamic websites make reliable data extraction difficult. This skill discovers selectors, handles common loading patterns, and produces reusable Playwright scripts with structured output.
Fix HTML Metadata and Social Previews
by ibelick
Missing or inconsistent metadata harms search indexing and social previews. This skill audits page metadata and guides focused fixes across common web frameworks.
Validate SEO Claims With Evidence
by CleanExpo
SEO copy often includes claims that are hard to verify. This skill guides Claude, Codex, and Claude Code to source claims, score confidence, and separate facts from forecasts.
Build Valid Schema Markup
by sickn33
Schema markup is easy to overuse and can violate rich result rules. This skill evaluates eligibility and designs accurate JSON-LD for safer SEO implementation.
Write Token-Efficient LLM Docs
by Aceek
Long documentation wastes context and slows AI assistants. This skill helps convert project knowledge into compact, scannable docs for Claude, Codex, and Claude Code.