Awesome-omni-skill skill-creator

How to create new agent skills following the open standard (agentskills.io). Use when the user wants to create, scaffold, or design a new skill for any AI coding agent.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/skill-creator-gapfdev" ~/.claude/skills/diegosouzapw-awesome-omni-skill-skill-creator-bb66b5 && rm -rf "$T"
manifest: skills/data-ai/skill-creator-gapfdev/SKILL.md
source content

Skill Creator

Meta-skill for creating new agent skills that follow the agentskills.io open standard. Works across Claude Code, OpenAI Codex, Google Gemini CLI, Cursor, and Windsurf.

Input

  • A skill idea from the user (name, purpose, or general description)

Output

  • A complete skill directory with
    SKILL.md
    and optional subdirectories
  • Placed in
    .agent/skills/<skill-name>/

Process

Phase 1: Interview (Understand the Skill)

Ask these questions one at a time. Wait for each answer before continuing.

  1. What should this skill do? (1-2 sentence summary)
  2. When should an agent use it? (trigger conditions — be specific)
  3. What inputs does it need? (files, user answers, config, etc.)
  4. What does it produce? (deliverables, files, decisions)
  5. Does it have phases/steps? (break it down if yes)
  6. Does it need templates, scripts, or reference docs? (optional directories)

After all questions are answered, confirm with the user:

"Here's what I understood: [summary]. Shall I create it?"

Phase 2: Scaffold (Generate the Skill)

Create the directory and

SKILL.md
using the template at
templates/SKILL_TEMPLATE.md
.

.agent/skills/<skill-name>/
└── SKILL.md              # Required — use the template

Frontmatter Rules (from agentskills.io spec)

FieldRequiredRules
name
kebab-case, 1-64 chars, lowercase only, must match directory name
description
1-1024 chars, describe what it does AND when to use it
license
OptionalShort name or reference to LICENSE file
metadata
OptionalKey-value pairs (author, version, etc.)
compatibility
OptionalEnvironment requirements (tools, OS, etc.)

Name Validation

✅ Valid:   code-review, sprint-planner, github-flow
❌ Invalid: Code-Review (uppercase), -my-skill (leading hyphen), my--skill (double hyphen)

Body Structure (our convention)

Follow this pattern — consistent with our existing skills:

# Skill Name

Brief description.

## Input
- What the skill needs

## Output
- What the skill produces

## Process

### Phase 1: [Name]
1. Step 1
2. Step 2

### Phase 2: [Name]
...

## Rules
1. **ALWAYS** ...
2. **NEVER** ...

Phase 3: Enrich (Add Optional Directories)

Based on the interview answers, add subdirectories as needed:

DirectoryWhen to UseExamples
templates/
Skill produces files from a template
TEMPLATE.md
,
CONFIG_TEMPLATE.yaml
references/
Skill needs detailed docs not loaded by defaultGuides, specs, glossaries
scripts/
Skill runs executable codePython, Bash, Node.js scripts
assets/
Skill uses static resourcesImages, fonts, data files
.agent/skills/<skill-name>/
├── SKILL.md
├── templates/          # Optional
│   └── TEMPLATE.md
├── references/         # Optional
│   └── GUIDE.md
├── scripts/            # Optional
│   └── helper.py
└── assets/             # Optional
    └── config.json

Important: Keep

SKILL.md
under 500 lines (< 5000 tokens). Move detailed content to
references/
.

Phase 4: Validate (Completeness Checklist)

Before delivering, verify:

  • name
    field is kebab-case and matches directory name?
  • description
    field clearly states what + when?
  • SKILL.md
    body has Input, Output, Process, and Rules sections?
  • □ Body is under 500 lines?
  • □ All referenced templates/scripts exist?
  • □ No hardcoded paths — skill is portable?
  • □ Rules section has at least 2 guardrails?
  • □ Each phase produces something verifiable?

Progressive Disclosure (How Agents Load Skills)

Skills are loaded in 3 tiers to save context:

Tier 1: Discovery  → name + description only (~100 tokens)
Tier 2: Activation → Full SKILL.md body (< 5000 tokens)
Tier 3: Resources  → scripts/, references/, assets/ (on demand)

This means:

  • Description is critical — it's the ONLY thing agents see at startup
  • Keep SKILL.md focused — move extras to references/
  • Templates are loaded only when used — don't inline them

Cross-Platform Compatibility

Skills created with this tool work across all major platforms:

PlatformSkill LocationNotes
This project
.agent/skills/
✅ Primary location
Claude Code
.claude/skills/
Copy skill directory
OpenAI Codex
.codex/skills/
Copy skill directory
Gemini CLI
.gemini/skills/
Copy skill directory
Cursor
.cursor/skills/
Via Agent Skills standard
Windsurf
.windsurf/skills/
Via Agent Skills standard

For cross-platform details, see

references/CROSS_PLATFORM_GUIDE.md
.


Rules

  1. ALWAYS ask the user before creating — never assume skill requirements
  2. ALWAYS use kebab-case for directory and
    name
    field
  3. ALWAYS write descriptions that include BOTH what + when
  4. ALWAYS include a Rules section with guardrails
  5. NEVER exceed 500 lines in
    SKILL.md
    — use references/ for overflow
  6. NEVER hardcode absolute paths in skill content
  7. NEVER skip the validation checklist
  8. ALWAYS use English for all skill content