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When the user needs to transcribe video (such as .mp4, .mkv, .avi) into text, use the python_repl tool to generate text.
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Schedule reminders and recurring tasks. Actions: add, list, remove or set_context.
Periodic wake-up service that checks HEARTBEAT.md for pending tasks and executes them automatically. Use this skill to write or update HEARTBEAT.md.
Private knowledge base for indexing multimodal files or folders into a knowledge graph, supporting multi-hop graph retrieval
Generate wiki docs + Mermaid diagrams for any codebase. Use when the user asks to document a codebase, generate architecture diagrams, or create a structured wiki for a repo.
Parse an image from a file path to obtain a description, enabling non-multimodal LLMs to have vision capabilities.
Karpathy's LLM Wiki: build/query interlinked markdown KB.
| name | video_text_to_text |
| description | When the user needs to transcribe video (such as .mp4, .mkv, .avi) into text, use the python_repl tool to generate text. |
from skills.builtin.core.video_text_to_text.scripts import vtt
if __name__ == '__main__':
video_path: str = "{placeholder}" # <- replace with the absolute path of the input video file
query: str = "{placeholder}" # <- replace with the query
res = vtt(video_path, query)
print(res)
from skills.builtin.core.video_text_to_text.scripts import vtt_fackback
if __name__ == '__main__':
video_path: str = "{placeholder}" # <- replace with the absolute path of the input video file
query: str = "{placeholder}" # <- replace with the query
interval_sec: float = float(
"{placeholder}") # <- replace with the interval seconds, value in [0.5, 3.0],please accord to the video length
res = vtt_fackback(video_path, query, interval_sec)
print(res)