fabrico-create-custom-skill

Create a supporting skill in the repository skill directory.

Repository: aiFabricoCom/fabrico-collections-codex
Last source activity: July 14, 2026 at 18:53
Detected SKILL.md language: English
Stars: 2
Forks: 0

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/aiFabricoCom/fabrico-collections-codex --skill fabrico-create-custom-skill

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

2 files

SKILL.md

Source instructions · Read-only preview

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Create a custom skill

Treat the user's current request, attachments, and referenced workspace files as the skill requirements.

For complex creation work, ask Codex to delegate coordination to fabrico-customization-orchestrator. Provide the intended triggers, exclusions, target scope, resources, constraints, and acceptance criteria. If delegation is unavailable, follow the same process locally.

Supporting skills

$fabrico-creating-skills for naming, progressive disclosure, UI metadata, and validation

$fabrico-technical-context-discovering when repository conventions must be established

$fabrico-codebase-analysing when overlap across many skills must be assessed

Workflow

Identify concrete requests that should and should not activate the skill.

Inspect .agents/skills/ for overlap, naming patterns, and reusable resources.

Choose a lowercase, hyphenated, verb-led name under 64 characters.

Plan the smallest useful package: SKILL.md plus only necessary scripts, references, assets, and UI metadata.

Create the skill with frontmatter containing only name and description; make the body concise and imperative.

Add agents/openai.yaml when useful. Disable implicit invocation only when the new skill is deliberately an explicit workflow.

Test every bundled script and validate frontmatter, links, names, descriptions, examples, and resource routing.

Forward-test complex behavior when safe, then request an independent review for substantial additions.

Return changed paths, activation design, resources added, and validation evidence.

Do not create auxiliary documentation or empty resource directories. Do not force one naming grammar when the repository already has a clearer consistent convention.