preset-manager

preset-manager is a skill for Claude Code, Codex from ironystock/agentic-obs. It costs 81 tokens per session (3,656 once invoked), scanned A, original, MIT.

Instructions for managing saved layouts in OBS Studio, the app used to record or livestream video. A preset stores which sources, such as cameras, overlays, or game captures, are visible in a scene.

In plain words
What is it for?
Saving, applying, listing, previewing, renaming, deleting, and organizing scene presets for streaming setups.
Why use it?
It avoids rebuilding the same OBS layout whenever you switch between activities.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Saving, applying, listing, previewing, renaming, deleting, and organizing scene presets for streaming setups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ironystock/agentic-obs/preset-manager
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ironystock/agentic-obs --skill preset-manager
Clone the repo
git clone --depth 1 https://github.com/ironystock/agentic-obs

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for preset-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/ironystock/agentic-obs/preset-manager/github.svg)](https://agentmods.dev/skills/ironystock/agentic-obs/preset-manager)
Your own site
<a href="https://agentmods.dev/skills/ironystock/agentic-obs/preset-manager"><img src="https://agentmods.dev/badge/skills/ironystock/agentic-obs/preset-manager/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for preset-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/ironystock/agentic-obs/preset-manager"><img src="https://agentmods.dev/badge/skills/ironystock/agentic-obs/preset-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,656 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.03656
Opus 5 $0.00041 $0.01828
Sonnet 5 $0.00016 $0.00731
Haiku 4.5 $0.00008 $0.00366

Measured 9d ago against content hash f49203050aa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

preset-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/preset-manager/SKILL.md · 585 lines

How it starts

The opening of the file, as written. The whole thing — 585 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preset Manager

Expert guidance for managing scene presets in OBS Studio, enabling quick switching between saved source visibility configurations.

When to Use This Skill

Activate the preset-manager skill when users request help with:

  • Creating presets

    • "Save this layout"
    • "Create a preset for my current setup"
    • "Remember these source settings"
    • "Save my gaming configuration"
  • Applying presets

    • "Apply my BRB preset"
    • "Switch to gaming mode"
    • "Load my starting configuration"
    • "Use my interview preset"
  • Listing and viewing presets

    • "What presets do I have?"
    • "Show my saved presets"
    • "What's in my gaming preset?"
    • "Preview preset changes"
  • Managing presets

    • "Rename my preset"
    • "Delete old presets"
    • "Organize my presets"
    • "Update my preset"
  • Preset workflows

    • "Set up quick switching"
    • "Create presets for my stream"
    • "Automate scene changes"

Core Responsibilities

As the preset-manager, your role is to:

  1. Create presets from current scene configurations
  2. Apply presets to restore saved source visibility states
  3. List presets with filtering by scene
  4. Preview presets before applying
  5. Rename presets for better organization
  6. Delete presets that are no longer needed
  7. Guide preset strategy for efficient workflows

Available Tools

Preset Operations

  • save_scene_preset - Save current scene's source visibility as a preset
  • apply_scene_preset - Apply a saved preset to restore source visibility
  • get_preset_details - View what a preset contains before applying
  • list_scene_presets - List all presets, optionally filtered by scene
  • rename_scene_preset - Rename an existing preset
  • delete_scene_preset - Remove a preset permanently

Supporting Tools

  • list_scenes - View available scenes
  • list_sources - View sources in a scene
  • toggle_source_visibility - Manually adjust visibility if needed

What Presets Store

Read the full file on GitHub · 585 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 585 lines · 81 tokens per session scan A f49203050aa9

Subscribe to this mod's changes

preset-manager is a skill published in the GitHub repository ironystock/agentic-obs (32 stars, last pushed 4mo ago), licensed MIT. It adds 81 tokens to every session and 3,656 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

piper-tts-training

Train custom TTS voices for Piper (ONNX format) using fine-tuning or from-scratch approaches. Use when creating new synthetic voices, fine-tuning existing Piper checkpoints, preparing audio datasets for TTS training, or deploying voice models to devices like Raspberry Pi or Home Assistant. Covers dataset preparation…

sammcj/agentic-coding · 79 tokens

invokeai-image-gen

Generate images using InvokeAI's local API. Use when asked to generate, create, or make images with InvokeAI, FLUX.2 Klein, Z-Image Turbo, FLUX, or SDXL models. Supports text-to-image generation, automatic model detection, image download, and parameter selection based on model architecture.

sammcj/agentic-coding · 69 tokens

storytelling-with-data

Apply storytelling principles to create, review, and improve data visualisations and data-driven communications. Use when the message or story of a data communication (chart, dashboard, infographic, data-driven deck or report) needs structuring or review, or when structuring narrative arcs, hooks, or aha moments in…

sammcj/agentic-coding · 69 tokens

llm-prompting-guide

Prompt format rules for generative video and music models. Use when writing or reviewing a prompt for MiniMax H3 (text/image/reference-to-video with native audio) or MiniMax Music 3 (song generation from caption plus lyrics), in ComfyUI or elsewhere. Do NOT use for chat-assistant prompts, or for generative models not…

sammcj/agentic-coding · 79 tokens

Canvas Skill

Present interactive HTML, visualizations, dashboards, and generated interfaces on connected Cybara nodes.

metaspartan/cybara · 21 tokens

comfyui

Drive ComfyUI (local Stable Diffusion / image-gen pipeline) via its HTTP API to generate and edit images. Use when the user has ComfyUI running and wants image generation/upscale/img2img workflows.

metaspartan/cybara · 48 tokens