Agent skill · Backend & API

openstoryline-install

Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.

FireRedTeamgithub.com/FireRedTeamGitHub ↗
claude-codeApache-2.0
Install
npx skills add FireRedTeam/FireRed-OpenStoryline --skill openstoryline-install --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: .claude/skills/openstoryline-install/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,183
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OpenStoryline Install Use this skill when the task is to install or repair a local source checkout of FireRed-OpenStoryline. Keep the workflow deterministic: 1. Confirm the repo path and read the current README.md and config.toml. 2. Detect local prerequisites before changing anything. 3. Prefer a local `venv` install unless the user explicitly asks for Docker or `conda`. 4. Download resources only after Python dependencies succeed. 5. Validate imports and config loading before claiming success. 6. This skill assumes macOS, Linux, or WSL with a POSIX shell. ## What This Skill Covers - Clone the GitHub repo if needed - Create a Python environment - Install Python dependencies - Download `.storyline` models and `resource/` assets - Fill `config.toml` model settings - Start MCP and web servers - Explain common installation/documentation gaps ## Preconditions Check these first: - `git` - Python `>= 3.11` - `ffmpeg` - `wget` - `unzip` Optional: - `docker` - `conda` If `ffmpeg`, `wget`, or `unzip` are missing, install them through the OS package manager before continuing. Examples: - macOS with Homebrew: ```bash brew install ffmpeg wget unzip ``` - Debian/Ubuntu: ```bash sudo apt-get u

What's inside
Steps it walks through
  1. What This Skill Covers
  2. Preconditions
  3. Interpreter selection
  4. Preferred Install Path
  5. Configuration
  6. Verification
  7. Start Services
  8. Expected Outputs
  9. Common Problems
  10. download.sh is slow or interrupted
  11. Web/MCP server fails to bind
  12. Response Pattern
Commands it runs
brew install ffmpeg wget unzip
sudo apt-get update
sudo apt-get install -y ffmpeg wget unzip
conda create -y -n openstoryline-py311 python=3.11
conda run -n openstoryline-py311 python --version
conda run -n openstoryline-py311 python -m venv .venv
bash download.sh
test -f .storyline/models/transnetv2-pytorch-weights.pth
test -d resource/bgms
More from FireRed-OpenStoryline
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About this skill
What does the openstoryline-install skill do?

Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.

How do I install it?

Run `npx skills add FireRedTeam/FireRed-OpenStoryline --skill openstoryline-install --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FireRedTeam/FireRed-OpenStoryline, a repository with 3,183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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