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Oma Skill Creation

OrganizationPopular
first-fluke
oma-skill-creation

Create or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.

Overview

Publisherfirst-fluke
Repositoryoh-my-agent
Skill nameoma-skill-creation
Stars
1.3K
Forks
149
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by first-fluke on GitHub. Read the source before you install it.

Installation

Install the Oma Skill Creation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/first-fluke/oh-my-agent.git /tmp/oh-my-agent
mkdir -p .claude/skills
cp -r /tmp/oh-my-agent/skills/oma-skill-creation .claude/skills/oma-skill-creation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oma Skill Creation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oma Skill Creation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oma Skill Creation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OMA Skill Authoring

Scheduling

Goal

Create or revise a usable OMA skill with clear routing, one execution path, domain-specific recovery, and proportionate context.

Intent signature

  • Create, update, audit, or normalize an OMA skill, its resources, or the SSL-lite format.
  • Decide whether content belongs inline, in a conditional resource, or should be removed.

When to use

  • Authoring .agents/skills/{name}/SKILL.md and supporting resources.
  • Reviewing skill routing, execution contracts, reference loading, or duplicated instructions.

When NOT to use

  • Installing third-party skills -> skill installer; creating a Codex plugin -> plugin tooling.
  • Application implementation -> the owning specialist; project requirements -> oma-pm.

Expected inputs

Skill purpose, triggers, boundaries, execution model, and existing commands/resources or user edits to preserve.

Expected outputs

A four-section SKILL.md, only necessary supporting resources, and validation results with unresolved limitations.

Dependencies

resources/ssl-lite-template.md for the skeleton and resources/validation-checklist.md for acceptance criteria. Use native file tools and available oma skill validators. Follow repository rules for source ownership and generated copies.

Structural Flow

Transitions

  • New skill: compare 1–3 analogous skills, then use the template.
  • Existing skill: preserve working domain detail and change only the requested scope.
  • Repeated instructions: retain one authoritative location and a short reference where independently invoked entry points need it.
  • Long or conditional detail: move to a named resource with a load condition. Do not move a duplicate merely to keep it elsewhere.
  • Machine-checkable artifacts: declare structured outputs: as documented in the template.

Failure and recovery

FailureRecovery
Overbroad routingNarrow triggers and add a concrete When NOT to use cross-route
Vague executionAdd actual objects, paths, command flags, and evidence to the canonical path
Repeated procedure in multiple sectionsKeep the canonical procedure; retain only distinct branches or state transitions elsewhere
Required tool unavailableUse the documented fallback; otherwise report which result cannot be verified
Conflicting source and generated copiesUse the repository's generation flow; do not hand-edit protected definitions

Exit

A completed skill has valid structure, useful routing, executable steps, recoverable failures, valid references, and applicable validation evidence. Missing tools or unresolved assumptions must remain explicit.

Logical Operations

Canonical workflow path

  1. Read the target, its invoked resources, and relevant repository rules. Identify which entry points run independently and which content the runtime already injects.
  2. Select command-heavy, judgment-heavy, or reference-heavy behavior. Use the template's minimal skeleton and optional sections only where they add information.
  3. Write the canonical procedure once. Preserve exact command/output contracts, failure mechanisms, side effects, and harmful-action limits; remove generic restatements and redundant examples.
  4. Index resources once under References with load conditions. Keep source-adjacent evidence one hop from SKILL.md where possible.
  5. Run oma skill lint --skill <name> and git diff --check. If routing descriptions changed, run oma skill audit. Apply the content checks in resources/validation-checklist.md that automated lint does not cover.
  6. Report the changes, checks, and remaining limits. Do not claim reduced token usage merely from removing duplicate files; measure the context actually loaded when making that claim.

Resource scope and effects

Skill work reads and may change local definitions/resources and generated vendor copies through the authorized repository flow. User data and credentials are not skill examples. Commits and publishing require the corresponding authorization.

Guardrails

  1. Keep YAML name and a routing-grade description. Preserve the four top-level headings: Scheduling, Structural Flow, Logical Operations, References.
  2. Keep one canonical command/workflow path, an Intent signature, When to use/When NOT to use, input/output expectations, failure recovery, and relevant effects/guardrails. Section titles beyond these are optional when their information is already represented.
  3. Entry, Scenes, Actions, and tool/scope tables must add distinct information. Do not repeat a procedure to fill the template.
  4. Keep SKILL.md under 500 body lines. Load supporting resources conditionally; do not create README/changelog/install documents inside a skill merely to explain the skill.
  5. Keep parsed output/schema examples. Do not prescribe decorative report layouts or add generic self-review loops; use runnable validators and explicit evidence requirements.
  6. Process bulk data through deterministic tools and return summaries/artifact paths instead of streaming raw data into context.
  7. Preserve unrelated user edits. Apply the shared execution policy to clarification, authorization, and verification.

References

  • Prompt behavior and model comparisons: resources/prompt-evaluation.md (routing, injection, authorization, or review-contract changes)
  • Skeleton and optional sections: resources/ssl-lite-template.md (authoring or restructuring)
  • Acceptance criteria: resources/validation-checklist.md (validation)
  • Context loading: ../_shared/core/context-loading.md (resource/injection decisions)
  • Quality principles: ../_shared/core/quality-principles.md (domain verification requirements)
  • Eval fixtures: web/docs/guide/skill-eval.md (when measuring held-out task utility with oma skill eval or oma skill optimize)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Oma Skill Creation AI skill do?

Create or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.

Why use Oma Skill Creation on TypingMind?

Because you install it once and use it with any model. Oma Skill Creation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oma Skill Creation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/first-fluke/oh-my-agent/tree/main/skills/oma-skill-creation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Oma Skill Creation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oma Skill Creation?

As many as you like. As long as a model supports skills, you can use Oma Skill Creation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oma Skill Creation AI skill free?

Yes. It is published on GitHub by first-fluke under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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