
hermex
Hermex is a native SwiftUI iPhone app that lets you control a self-hosted Hermes AI agent directly from your phone, with no subscriptions, tracking, or third-party relay.
它结合了 GPT Image 2 进行字体设计、Gemini Omni Flash 进行动画生成,并加入确定性质量控制和精确文本校验,同时保留原始主音频。
A production-grade Hermes Agent skill for directing stylized lyric videos from a song, exact lyrics, and rough line timings.
It treats the lyric as the protagonist: GPT Image 2 designs typography-led compositions, Gemini Omni Flash animates them through reference-to-video, and deterministic QC preserves exact text and the untouched master audio.
Copy or clone this repository into your Hermes profile's skills directory:
mkdir -p ~/.hermes/profiles//skills/creative
git clone https://github.com/ShadoW-Shinigami/lyric-video-director.git \
~/.hermes/profiles//skills/creative/lyric-video-director
Replace `` with your active profile, such as telegram.
The main skill definition is SKILL.md. Hermes discovers its linked references, scripts, and templates from the repository layout.
.
├── SKILL.md
├── references/
│ ├── art-direction-and-prompts.md
│ ├── audio-and-timeline.md
│ ├── full-song-production-qc.md
│ ├── instrumental-narrative-direction.md
│ ├── kinetic-typography-reference-video.md
│ ├── non-lyric-retrofit-workflow.md
│ ├── typography-and-qc.md
│ └── worked-examples.md
├── scripts/
│ ├── inspect_audio.py
│ └── validate_timeline.py
└── templates/
├── project.yaml
└── timeline.example.json
The skill expects access to:
ffmpeg and ffprobesongsee for visual audio analysisRun the helper checks:
python3 scripts/inspect_audio.py --help
python3 scripts/validate_timeline.py --help
The supplied song is sacred. Generated video audio is discarded, and the original master remains the sole final soundtrack.
MIT — see LICENSE.
Hermes Agent skill for typography-led lyric videos using GPT Image 2, Gemini Omni Flash, and exact-text QC
根据分类、Topic 和编程语言匹配的相似项目。

Hermex is a native SwiftUI iPhone app that lets you control a self-hosted Hermes AI agent directly from your phone, with no subscriptions, tracking, or third-party relay.
Harness Engineering is a methodology for improving coding agent outputs by carefully crafting the environment around them—providing curated context, tools, and executable constraints that encode an organization’s nonfunctional requirements and cumulative lessons.
A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.