FireRedTeam
Official@FireRedTeam · China
小红书Super Intelligence部门下属基础算法实验室， Xiaohongshu Super Intelligence fundamental technology lab
Agent Skills by FireRedTeam
Showing 6 vetted skills indexed across 1 GitHub repositories.
FireRedTeamai_transition_editing_skill
Generates AI transitions to connect user media clips into a rendered video timeline.
FireRedTeamdefault_editing_workflow_skill
Orchestrates a multi-step video editing workflow from media loading to final rendering.
FireRedTeamcreate_profile_style_skill
Generates reusable video editing style Skill files from analyzed editing preferences.
FireRedTeamspeech_rough_cut_skill
Generates narration rough cuts from video audio using ASR timestamps.
FireRedTeamopenstoryline-install
Installs, configures, and launches FireRed-OpenStoryline from source on local machines.
FireRedTeamopenstoryline-use
Operates OpenStoryline services to edit videos through natural language conversation sessions.
Frequently Asked Questions About FireRedTeam
FAQPage SchemaWhat tasks can I accomplish with FireRedTeam's OpenStoryline skills?▼
You can perform speech-based rough cuts on narration footage, edit daily or travel vlogs via a universal editing flow, chain user footage with generated transitions, and produce stylized scripts by imitating reference writing samples. Multi-turn re-editing and rendered output verification are also supported.
Who are these video editing skills designed for?▼
They target content creators, vlog editors, and engineers building conversational video-editing experiences on Xiaohongshu's OpenStoryline. Users who need style-imitated scripts, automated rough cuts, or reusable editing skill files benefit most, including Chinese-speaking users issuing natural-language editing requests.
How do I install and run OpenStoryline locally?▼
Use the openstoryline-install skill to build from source, download required resources, fill config.toml API keys, and launch the MCP and web services. Once installed, the openstoryline-use skill starts local services, creates sessions, sends editing instructions, and verifies rendered video outputs.
Can OpenStoryline handle iterative, multi-turn video re-editing?▼
Yes. The openstoryline-use skill supports creating or continuing sessions, sending successive editing instructions, performing multi-turn re-editing, and verifying each rendered output. This enables conversational refinement of cuts, transitions, and scripts without restarting the editing session.
What prerequisites does OpenStoryline installation require?▼
Installation requires a local machine capable of building from source, downloaded model or media resources, and valid API keys entered into config.toml. The install skill also covers troubleshooting failed setups and launching both the MCP service and the web interface.