feat: video-edit-planner skill — transcribe, extract frames, plan edits

A conversational video-editing planning assistant. Provides tools for:
- Audio transcription via bundled funasr-script (Fun-ASR-Nano / SenseVoice)
- On-demand clip extraction and frame sampling (ffmpeg, hardware-accelerated)
- SQLite index to track all artifacts and avoid duplicate processing
- Vision analysis guidance with binary-search-style frame sampling
- Iterative Markdown-table edit plan output

Agent-agnostic: no platform-specific tool names, works with any agent runtime.
Dependencies checked at guidance level with OS package manager install hints.
This commit is contained in:
2026-07-14 11:07:57 +08:00
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from __future__ import annotations
import argparse
from funasr_common import REGULAR_MODEL_CONFIGS, add_common_args, run_pipeline
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(
prog="funasr-regular",
description="提取指定音轨并用常规 FunASR 管线转录(SenseVoice/Paraformer)。",
)
add_common_args(parser)
parser.add_argument(
"--model",
choices=sorted(REGULAR_MODEL_CONFIGS),
default="sensevoice",
help="常规 FunASR 模型,默认 sensevoice",
)
return parser
def main() -> None:
args = build_parser().parse_args()
config = REGULAR_MODEL_CONFIGS[args.model]
run_pipeline(
args,
model_name=args.model,
config=config,
suffix=args.model,
use_itn=args.model == "sensevoice",
sensevoice=args.model == "sensevoice",
)
if __name__ == "__main__":
main()