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Oma Skill Creator

OrganizationPopular
first-fluke
oma-skill-creator

Create or update OMA skills in the SSL-lite human-readable format. Use when adding a new `.agents/skills/{skill-name}/SKILL.md`, converting an existing skill to the standardized Scheduling / Structural Flow / Logical Operations / References structure, or validating whether a skill has enough routing, execution, resource, and safety detail.

Overview

Publisherfirst-fluke
Repositoryoh-my-agent
Skill nameoma-skill-creator
Stars
1.3K
Forks
150
Bundled files
2
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.

  • 2 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 Creator 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.
    https://github.com/first-fluke/oh-my-agent/tree/main/benchmarks/runs/oma/.agents/skills/oma-skill-creator
  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/benchmarks/runs/oma/.agents/skills/oma-skill-creator .claude/skills/oma-skill-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oma Skill Creator 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 Creator 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 Creator 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.

Skill Creator - SSL-lite Skill Authoring Specialist

Scheduling

Goal

Create, revise, and validate OMA skills using the SSL-lite Markdown structure derived from Scheduling-Structural-Logical skill representation while keeping the result readable, executable, and maintainable.

Intent signature

  • User asks to create a new OMA skill, agent skill, specialist skill, or .agents/skills/*/SKILL.md.
  • User asks to convert or normalize a skill into the project skill format.
  • User asks whether a skill has enough scheduling, structural, logical, reference, or canonical execution detail.
  • User mentions SSL-lite, Scheduling / Structural / Logical, skill format, skill template, or skill creator.

When to use

  • Creating a new skill under .agents/skills/{name}/SKILL.md
  • Updating an existing OMA skill to the SSL-lite format
  • Adding Canonical command path or Canonical workflow path to an execution-heavy skill
  • Auditing whether a skill is usable by routing, execution, validation, and recovery logic
  • Deciding whether detailed examples belong inline or in resources/

When NOT to use

  • Installing third-party skills into $CODEX_HOME/skills -> use skill installer
  • Creating a Codex plugin bundle -> use plugin creator
  • Writing a general project plan unrelated to skill authoring -> use PM Agent
  • Editing product code, infrastructure, frontend, backend, or mobile implementation directly -> use the matching specialist skill

Expected inputs

  • skill_name: target directory name, preferably oma-{domain}
  • skill_goal: capability the skill should add
  • trigger_intents: user prompts or domains that should activate the skill
  • boundaries: when the skill should not be used and which skill should handle those cases
  • execution_model: whether the skill is command-heavy, workflow-heavy, judgment-heavy, or reference-heavy
  • Existing files, tools, commands, resources, or standards the skill must preserve

Expected outputs

  • A complete SKILL.md using the SSL-lite top-level sections
  • Optional resources/*.md, config/*.yaml, scripts/*, or assets/* only when progressive disclosure or deterministic execution requires them
  • A validation report with structure checks, routing checks, execution checks, and unresolved assumptions

Dependencies

  • Existing OMA skill conventions in .agents/skills/*/SKILL.md
  • SSL-lite template in resources/ssl-lite-template.md
  • Validation checklist in resources/validation-checklist.md
  • Local filesystem and search tools for reading adjacent skills and checking output

Control-flow features

  • Branches by new skill vs existing skill update
  • Branches by command-heavy vs workflow-heavy vs reference-heavy skill type
  • Reads and writes local skill files
  • Must preserve user edits and avoid unrelated rewrites

Structural Flow

Entry

  1. Identify whether the task is creating a new skill, updating an existing skill, or auditing a skill.
  2. Read nearby or analogous OMA skills before choosing wording and structure.
  3. Determine the skill type: command-heavy, workflow-heavy, judgment-heavy, or reference-heavy.

Scenes

  1. PREPARE: Collect skill purpose, trigger intents, boundaries, inputs, outputs, dependencies, and risk/resource constraints.
  2. ACQUIRE: Read analogous skills, existing resources, project conventions, and any user-provided source material.
  3. REASON: Decide what belongs inline in SKILL.md and what belongs in resources/, config/, scripts/, or assets/.
  4. ACT: Create or update the skill using the SSL-lite template.
  5. VERIFY: Run structural, routing, execution, resource, and formatting checks.
  6. FINALIZE: Report created/changed files, validation result, and any remaining assumptions.

Transitions

  • If the skill performs fragile or repeated commands, include ### Canonical command path inline.
  • If the skill is mostly human judgment or investigation, include ### Canonical workflow path inline.
  • If detailed examples are long, variant-specific, or optional, move them to resources/ and reference them explicitly.
  • If a skill already exists, preserve working content and normalize only what is needed for the target format.
  • If the trigger description is too broad, narrow it before writing the skill.

Failure and recovery

FailureRecovery
Skill scope overlaps heavily with another skillAdd a clear When NOT to use boundary and cross-route
Execution path is vagueAdd canonical command or workflow path inline
SKILL.md becomes too longMove detailed examples to resources/ and keep navigation in References
No reliable validation command existsUse structural grep/awk checks and manual checklist validation
User input is underspecifiedMake conservative assumptions and list them, unless the target behavior would be unsafe

Exit

  • Success: the skill has the four SSL-lite top-level sections, a canonical path, clear routing boundaries, resource constraints, and validation evidence.
  • Partial success: the structure is valid but missing commands, tools, source material, or user decisions are reported.
  • Failure: no skill file is written or the blocking ambiguity is explicit.

Logical Operations

Actions

ActionSSL primitiveEvidence
Read analogous skillsREADExisting .agents/skills/*/SKILL.md
Select skill typeSELECTCommand/workflow/judgment/reference-heavy classification
Infer boundariesINFERTrigger intents and adjacent skill overlap
Write skill fileWRITENew or updated SKILL.md
Add resourcesWRITEresources/, config/, scripts/, or assets/
Validate structureVALIDATEHeading and canonical-path checks
Report resultNOTIFYChanged files and validation summary

Tools and instruments

  • rg, find, awk, sed, git diff --check
  • apply_patch for manual file edits
  • Existing OMA skills as examples
  • resources/ssl-lite-template.md for the canonical section skeleton
  • resources/validation-checklist.md for acceptance criteria

Canonical workflow path

  1. Read 1-3 analogous existing skills before writing.
  2. Classify the new skill as command-heavy, workflow-heavy, judgment-heavy, or reference-heavy.
  3. Draft SKILL.md from resources/ssl-lite-template.md.
  4. Add exactly one inline canonical path:
    • ### Canonical command path for fragile or repeatable commands
    • ### Canonical workflow path for decision, review, design, or research flow
  5. Move long examples, provider-specific details, or optional protocols into resources/.
  6. Validate top-level headings, canonical path presence, frontmatter, and whitespace.

Resource scope

ScopeResource target
CODEBASE.agents/skills/*/SKILL.md, adjacent resources, project skill conventions
LOCAL_FSNew skill directories and resource files
PROCESSValidation commands and optional generator/check scripts
MEMORYUser requirements, assumptions, and validation notes

Preconditions

  • The target skill name and purpose are known or can be inferred safely.
  • Adjacent skill overlap has been checked.
  • The user has authorized changes under .agents/skills/ when project rules would otherwise protect .agents/.

Effects and side effects

  • Creates or modifies files under .agents/skills/.
  • May add resource files to support progressive disclosure.
  • Does not stage or commit changes unless explicitly requested.

Guardrails

  1. Keep the four top-level sections exactly: Scheduling, Structural Flow, Logical Operations, References.
  2. Keep YAML frontmatter with clear name and description; routing depends on description quality.
  3. Include concrete When NOT to use boundaries and cross-routes to adjacent skills.
  4. Include expected inputs, expected outputs, dependencies, and control-flow features.
  5. Include structural scenes using SSL scene vocabulary where practical: PREPARE, ACQUIRE, REASON, ACT, VERIFY, RECOVER, FINALIZE.
  6. Include logical actions with SSL primitives such as READ, SELECT, VALIDATE, INFER, WRITE, CALL_TOOL, NOTIFY, and TERMINATE.
  7. Include resource scope and resource targets for filesystem, codebase, process, credentials, network, user data, or memory.
  8. Include effects and side effects, especially for commands, network calls, credentials, destructive actions, generated files, and long-running processes.
  9. Add one canonical path inline so an agent can execute or reason without loading every resource file.
  10. Put long variant-specific details in resources/, not in the main skill body.
  11. Do not create extra README, changelog, or installation docs inside a skill.
  12. Do not overwrite unrelated user edits.

References

  • SSL-lite template: resources/ssl-lite-template.md
  • Validation checklist: resources/validation-checklist.md
  • Shared context loading: ../_shared/core/context-loading.md
  • Shared quality principles: ../_shared/core/quality-principles.md

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 Creator AI skill do?

Create or update OMA skills in the SSL-lite human-readable format. Use when adding a new `.agents/skills/{skill-name}/SKILL.md`, converting an existing skill to the standardized Scheduling / Structural Flow / Logical Operations / References structure, or validating whether a skill has enough routing, execution, resource, and safety detail.

Why use Oma Skill Creator on TypingMind?

Because you install it once and use it with any model. Oma Skill Creator 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 Creator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/first-fluke/oh-my-agent/tree/main/benchmarks/runs/oma/.agents/skills/oma-skill-creator. 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 Creator?

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 Creator?

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

Is the Oma Skill Creator 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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