tomkrikorian/visionosagents/tkr-skill-writer

Claude Code and agent skill by tomkrikorian/visionosagents

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Guide for creating and structuring skills with consistent formatting, clear documentation, and proper reference organization. Use when creating new skills or updating existing skill documentation.

Install

npx vskill@latest install tomkrikorian/visionosagents/tkr-skill-writer

SKILL.md

TKR Skill Writer

Description and Goals

This skill provides guidelines and templates for creating well-structured skills that follow consistent patterns in this repository while staying aligned with the current Codex skill guide. Skills should be clear, discoverable, and provide actionable guidance for developers.

Goals
  • Standardize skill structure across all skills in the repository
  • Ensure skills are discoverable and easy to navigate
  • Provide clear "when to use" guidance for each skill
  • Maintain consistent reference file organization
  • Keep repo conventions separate from actual Codex requirements
  • Include optional Codex metadata when it improves discovery and presentation
  • Enable efficient skill creation and maintenance

What This Skill Should Do

When creating or updating a skill, this skill guides you to:

  1. Start from the official minimum:
  • A skill folder with a SKILL.md file
  • Frontmatter with name and description
  • Instructions that explain exactly when the skill should trigger
  1. Apply this repo's preferred structure:
  • Description and Goals
  • What This Skill Should Do
  • Information About the Skill (with subcategories)
  1. Create reference files that are:
  • One level deep from SKILL.md (e.g., references/filename.md)
  • Use relative paths from the skill root
  • Avoid deeply nested reference chains
  1. Organize component/system references in tables with:
  • Component/System name as a clickable link: [ComponentName](references/componentname.md)
  • "When to Use" descriptions that clearly explain when to load each reference
  1. Add optional metadata when useful:
  • Create agents/openai.yaml for UI metadata in the Codex app
  • Set interface.display_name, short_description, icon_small, icon_large, and brand_color
  • Add interface.default_prompt only when a starter prompt will improve skill discoverability or invocation clarity
  • Add policy or dependencies only when the skill genuinely needs them
  1. Follow consistent formatting:
  • Use markdown links for file references
  • Keep tables readable and scannable
  • Provide clear, actionable descriptions

Information About the Skill

Skill Structure Template

Every SKILL.md must satisfy the official minimum format. In this repo, the preferred structure is the three-section layout below:

text
skill-name/
├── SKILL.md
├── agents/
│ └── openai.yaml
├── assets/
│ └── logo.svg
└── references/
└── reference.md
markdown
---
name: skill-name
description: Brief description of what the skill does and when to use it.
---
# Skill Name
## Description and Goals
[Description of the skill, its purpose, and goals]
### Goals
-Goal 1
-Goal 2
-Goal 3
## What This Skill Should Do
[Clear explanation of what the skill accomplishes and how it should be used]
## Information About the Skill
### Core Concepts
[Important concepts and principles]
### Reference Tables
[Tables organizing references with clickable links and "When to Use" descriptions]
### Implementation Patterns
[Code examples and patterns]
### Pitfalls and Checks
[Common mistakes and things to watch for]
File Reference Guidelines
  • Use relative paths from the skill root directory
  • Keep references one level deep: references/filename.md
  • Avoid nested chains: Don't create references that point to other references that point to more references
  • Use markdown links: [ComponentName](references/componentname.md)
Optional Metadata

Codex supports optional skill metadata in agents/openai.yaml. Use it when the skill benefits from a polished display name, icon, short description, brand color, invocation policy, or declared tool dependencies.

yaml
interface:
display_name: "Optional user-facing name"
short_description: "Optional user-facing description"
icon_small: "../assets/small-logo.svg"
icon_large: "../assets/large-logo.png"
brand_color: "#3B82F6"
default_prompt: "Optional surrounding prompt to use the skill with"
policy:
allow_implicit_invocation: false
dependencies:
tools:
- type: "mcp"
value: "openaiDeveloperDocs"
description: "OpenAI Docs MCP server"
transport: "streamable_http"
url: "https://developers.openai.com/mcp"

Use policy and dependencies only when they materially improve the skill. Do not add them by default just because the fields exist.

Table Format

Reference tables should use this format:

markdown
| Component | When to Use |
|-----------|-------------|
| [`ComponentName`](references/componentname.md) | Clear description of when to use this component. |
Reference File Naming
  • Component files: {name}component.md (e.g., modelcomponent.md)
  • System files: system.md (consolidate all system info in one file)
  • Other references: Use descriptive, lowercase names with hyphens
Best Practices
  • Keep "When to Use" descriptions concise but informative
  • Group related components/systems into logical categories
  • Provide code examples in implementation patterns sections
  • Document common pitfalls and how to avoid them
  • Update the skill description in the frontmatter to match the content
  • Keep each skill focused on one job
  • Prefer instructions over scripts unless deterministic tooling is required
  • Write imperative steps with explicit inputs and outputs
  • Test prompts against the skill description to confirm the trigger behavior is correct
  • Use $skill-creator first when you want a starting point from the official Codex workflow
  • Treat repo-specific layout rules as conventions, not as requirements imposed by Codex itself

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
44
Repository forks
5
7-day trend score
19

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 Mar 2026, 7 months ago.

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