From a98fed2470f70ffabaf7b63ff4190c73b9afce8a Mon Sep 17 00:00:00 2001 From: teknium1 <127238744+teknium1@users.noreply.github.com> Date: Thu, 23 Jul 2026 20:19:42 -0700 Subject: [PATCH] docs(skills): update pages, catalogs, sidebar for skill dir renames Auto-gen page slugs, catalog rows/paths, sidebar entries, and zh-Hans mirrors follow the directory renames. Also updates the install path official/creative/audiocraft -> official/creative/audiocraft-audio-generation in the songwriting-and-ai-music pointer section. --- skills/creative/songwriting-and-ai-music/SKILL.md | 2 +- website/docs/reference/optional-skills-catalog.md | 4 ++-- website/docs/reference/skills-catalog.md | 4 ++-- .../creative/creative-songwriting-and-ai-music.md | 2 +- ...d => mlops-evaluation-evaluating-llms-harness.md} | 10 +++++----- ...-vllm.md => mlops-inference-serving-llms-vllm.md} | 10 +++++----- ...ft.md => creative-audiocraft-audio-generation.md} | 8 ++++---- .../skills/optional/creative/creative-heartmula.md | 2 +- ...ing.md => mlops-models-segment-anything-model.md} | 12 ++++++------ .../current/reference/optional-skills-catalog.md | 4 ++-- .../current/reference/skills-catalog.md | 4 ++-- .../creative/creative-songwriting-and-ai-music.md | 2 +- ...d => mlops-evaluation-evaluating-llms-harness.md} | 10 +++++----- ...-vllm.md => mlops-inference-serving-llms-vllm.md} | 10 +++++----- ...ft.md => creative-audiocraft-audio-generation.md} | 4 ++-- .../skills/optional/creative/creative-heartmula.md | 2 +- ...ing.md => mlops-models-segment-anything-model.md} | 10 +++++----- website/sidebars.ts | 8 ++++---- 18 files changed, 54 insertions(+), 54 deletions(-) rename website/docs/user-guide/skills/bundled/mlops/{mlops-evaluation-lm-evaluation-harness.md => mlops-evaluation-evaluating-llms-harness.md} (95%) rename website/docs/user-guide/skills/bundled/mlops/{mlops-inference-vllm.md => mlops-inference-serving-llms-vllm.md} (94%) rename website/docs/user-guide/skills/optional/creative/{creative-audiocraft.md => creative-audiocraft-audio-generation.md} (97%) rename website/docs/user-guide/skills/optional/mlops/{mlops-models-segment-anything.md => mlops-models-segment-anything-model.md} (96%) rename website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/{mlops-evaluation-lm-evaluation-harness.md => mlops-evaluation-evaluating-llms-harness.md} (95%) rename website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/{mlops-inference-vllm.md => mlops-inference-serving-llms-vllm.md} (94%) rename website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/{creative-audiocraft.md => creative-audiocraft-audio-generation.md} (99%) rename website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/{mlops-models-segment-anything.md => mlops-models-segment-anything-model.md} (97%) diff --git a/skills/creative/songwriting-and-ai-music/SKILL.md b/skills/creative/songwriting-and-ai-music/SKILL.md index 17e5b2cb8b6c..250e2746fdc7 100644 --- a/skills/creative/songwriting-and-ai-music/SKILL.md +++ b/skills/creative/songwriting-and-ai-music/SKILL.md @@ -298,7 +298,7 @@ cover this (heavy dependencies, so not installed by default): `hermes skills install official/creative/heartmula` - **audiocraft** — Meta's MusicGen (instrumental text-to-music) and AudioGen (sound effects): - `hermes skills install official/creative/audiocraft` + `hermes skills install official/creative/audiocraft-audio-generation` The lyric-writing and prompting craft in this skill applies to heartmula too — its input format is lyrics with bracketed structure diff --git a/website/docs/reference/optional-skills-catalog.md b/website/docs/reference/optional-skills-catalog.md index 73cbbbd4d6d2..6a826ec62e2f 100644 --- a/website/docs/reference/optional-skills-catalog.md +++ b/website/docs/reference/optional-skills-catalog.md @@ -55,7 +55,7 @@ hermes skills uninstall | Skill | Description | |-------|-------------| -| [**audiocraft-audio-generation**](/docs/user-guide/skills/optional/creative/creative-audiocraft) | AudioCraft: MusicGen text-to-music, AudioGen text-to-sound. | +| [**audiocraft-audio-generation**](/docs/user-guide/skills/optional/creative/creative-audiocraft-audio-generation) | AudioCraft: MusicGen text-to-music, AudioGen text-to-sound. | | [**baoyu-article-illustrator**](/docs/user-guide/skills/optional/creative/creative-baoyu-article-illustrator) | Article illustrations: type × style × palette consistency. | | [**baoyu-comic**](/docs/user-guide/skills/optional/creative/creative-baoyu-comic) | Knowledge comics (知识漫画): educational, biography, tutorial. | | [**blender-mcp**](/docs/user-guide/skills/optional/creative/creative-blender-mcp) | Drive Blender via the catalog blender MCP, with bpy recipes. | @@ -164,7 +164,7 @@ hermes skills uninstall | [**pytorch-lightning**](/docs/user-guide/skills/optional/mlops/mlops-pytorch-lightning) | Clean training loops with built-in distributed support. | | [**qdrant-vector-search**](/docs/user-guide/skills/optional/mlops/mlops-qdrant) | Vector search engine for production RAG systems. | | [**sparse-autoencoder-training**](/docs/user-guide/skills/optional/mlops/mlops-saelens) | Train sparse autoencoders to interpret model features. | -| [**segment-anything-model**](/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything) | SAM: zero-shot image segmentation via points, boxes, masks. | +| [**segment-anything-model**](/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything-model) | SAM: zero-shot image segmentation via points, boxes, masks. | | [**simpo-training**](/docs/user-guide/skills/optional/mlops/mlops-simpo) | Reference-free preference alignment, simpler than DPO. | | [**slime-rl-training**](/docs/user-guide/skills/optional/mlops/mlops-slime) | RL post-training for LLMs with Megatron and SGLang. | | [**stable-diffusion-image-generation**](/docs/user-guide/skills/optional/mlops/mlops-stable-diffusion) | Text-to-image generation, inpainting, and img2img. | diff --git a/website/docs/reference/skills-catalog.md b/website/docs/reference/skills-catalog.md index 2024dd8dd6a6..24c539f81de6 100644 --- a/website/docs/reference/skills-catalog.md +++ b/website/docs/reference/skills-catalog.md @@ -83,8 +83,8 @@ If a skill is missing from this list but present in the repo, the catalog is reg |-------|-------------|------| | [`huggingface-hub`](/docs/user-guide/skills/bundled/mlops/mlops-huggingface-hub) | HuggingFace hf CLI: search/download/upload models, datasets. | `mlops/huggingface-hub` | | [`llama-cpp`](/docs/user-guide/skills/bundled/mlops/mlops-inference-llama-cpp) | llama.cpp local GGUF inference + HF Hub model discovery. | `mlops/inference/llama-cpp` | -| [`evaluating-llms-harness`](/docs/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness) | lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.). | `mlops/evaluation/lm-evaluation-harness` | -| [`serving-llms-vllm`](/docs/user-guide/skills/bundled/mlops/mlops-inference-vllm) | vLLM: high-throughput LLM serving, OpenAI API, quantization. | `mlops/inference/vllm` | +| [`evaluating-llms-harness`](/docs/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness) | lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.). | `mlops/evaluation/evaluating-llms-harness` | +| [`serving-llms-vllm`](/docs/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm) | vLLM: high-throughput LLM serving, OpenAI API, quantization. | `mlops/inference/serving-llms-vllm` | | [`weights-and-biases`](/docs/user-guide/skills/bundled/mlops/mlops-evaluation-weights-and-biases) | W&B: log ML experiments, sweeps, model registry, dashboards. | `mlops/evaluation/weights-and-biases` | ## note-taking diff --git a/website/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md b/website/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md index 3a92a0bfa095..6b0cdbb70a1f 100644 --- a/website/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md +++ b/website/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md @@ -309,7 +309,7 @@ cover this (heavy dependencies, so not installed by default): `hermes skills install official/creative/heartmula` - **audiocraft** — Meta's MusicGen (instrumental text-to-music) and AudioGen (sound effects): - `hermes skills install official/creative/audiocraft` + `hermes skills install official/creative/audiocraft-audio-generation` The lyric-writing and prompting craft in this skill applies to heartmula too — its input format is lyrics with bracketed structure diff --git a/website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md b/website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md similarity index 95% rename from website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md rename to website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md index 415027621c0f..51d87a0259b0 100644 --- a/website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md +++ b/website/docs/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md @@ -15,7 +15,7 @@ lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.). | | | |---|---| | Source | Bundled (installed by default) | -| Path | `skills/mlops/evaluation/lm-evaluation-harness` | +| Path | `skills/mlops/evaluation/evaluating-llms-harness` | | Version | `1.0.0` | | Author | Orchestra Research | | License | MIT | @@ -483,13 +483,13 @@ lm_eval --model hf \ ## Advanced topics -**Benchmark descriptions**: See [references/benchmark-guide.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/benchmark-guide.md) for detailed description of all 60+ tasks, what they measure, and interpretation. +**Benchmark descriptions**: See [references/benchmark-guide.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/benchmark-guide.md) for detailed description of all 60+ tasks, what they measure, and interpretation. -**Custom tasks**: See [references/custom-tasks.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/custom-tasks.md) for creating domain-specific evaluation tasks. +**Custom tasks**: See [references/custom-tasks.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/custom-tasks.md) for creating domain-specific evaluation tasks. -**API evaluation**: See [references/api-evaluation.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/api-evaluation.md) for evaluating OpenAI, Anthropic, and other API models. +**API evaluation**: See [references/api-evaluation.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/api-evaluation.md) for evaluating OpenAI, Anthropic, and other API models. -**Multi-GPU strategies**: See [references/distributed-eval.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/distributed-eval.md) for data parallel and tensor parallel evaluation. +**Multi-GPU strategies**: See [references/distributed-eval.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/distributed-eval.md) for data parallel and tensor parallel evaluation. ## Hardware requirements diff --git a/website/docs/user-guide/skills/bundled/mlops/mlops-inference-vllm.md b/website/docs/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md similarity index 94% rename from website/docs/user-guide/skills/bundled/mlops/mlops-inference-vllm.md rename to website/docs/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md index 524f1bf265ef..25740ce78316 100644 --- a/website/docs/user-guide/skills/bundled/mlops/mlops-inference-vllm.md +++ b/website/docs/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md @@ -15,7 +15,7 @@ vLLM: high-throughput LLM serving, OpenAI API, quantization. | | | |---|---| | Source | Bundled (installed by default) | -| Path | `skills/mlops/inference/vllm` | +| Path | `skills/mlops/inference/serving-llms-vllm` | | Version | `1.0.0` | | Author | Orchestra Research | | License | MIT | @@ -362,13 +362,13 @@ vllm serve MODEL --speculative-model DRAFT_MODEL ## Advanced topics -**Server deployment patterns**: See [references/server-deployment.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/server-deployment.md) for Docker, Kubernetes, and load balancing configurations. +**Server deployment patterns**: See [references/server-deployment.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/server-deployment.md) for Docker, Kubernetes, and load balancing configurations. -**Performance optimization**: See [references/optimization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/optimization.md) for PagedAttention tuning, continuous batching details, and benchmark results. +**Performance optimization**: See [references/optimization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/optimization.md) for PagedAttention tuning, continuous batching details, and benchmark results. -**Quantization guide**: See [references/quantization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/quantization.md) for AWQ/GPTQ/FP8 setup, model preparation, and accuracy comparisons. +**Quantization guide**: See [references/quantization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/quantization.md) for AWQ/GPTQ/FP8 setup, model preparation, and accuracy comparisons. -**Troubleshooting**: See [references/troubleshooting.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/troubleshooting.md) for detailed error messages, debugging steps, and performance diagnostics. +**Troubleshooting**: See [references/troubleshooting.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/troubleshooting.md) for detailed error messages, debugging steps, and performance diagnostics. ## Hardware requirements diff --git a/website/docs/user-guide/skills/optional/creative/creative-audiocraft.md b/website/docs/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md similarity index 97% rename from website/docs/user-guide/skills/optional/creative/creative-audiocraft.md rename to website/docs/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md index 4f6b9f8e9257..cde300fc264f 100644 --- a/website/docs/user-guide/skills/optional/creative/creative-audiocraft.md +++ b/website/docs/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md @@ -14,8 +14,8 @@ AudioCraft: MusicGen text-to-music, AudioGen text-to-sound. | | | |---|---| -| Source | Optional — install with `hermes skills install official/creative/audiocraft` | -| Path | `optional-skills/creative/audiocraft` | +| Source | Optional — install with `hermes skills install official/creative/audiocraft-audio-generation` | +| Path | `optional-skills/creative/audiocraft-audio-generation` | | Version | `1.0.0` | | Author | Orchestra Research | | License | MIT | @@ -576,8 +576,8 @@ for desc in descriptions: ## References -- **[Advanced Usage](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/creative/audiocraft/references/advanced-usage.md)** - Training, fine-tuning, deployment -- **[Troubleshooting](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/creative/audiocraft/references/troubleshooting.md)** - Common issues and solutions +- **[Advanced Usage](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/creative/audiocraft-audio-generation/references/advanced-usage.md)** - Training, fine-tuning, deployment +- **[Troubleshooting](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/creative/audiocraft-audio-generation/references/troubleshooting.md)** - Common issues and solutions ## Resources diff --git a/website/docs/user-guide/skills/optional/creative/creative-heartmula.md b/website/docs/user-guide/skills/optional/creative/creative-heartmula.md index 405d65872498..16dcf43c2296 100644 --- a/website/docs/user-guide/skills/optional/creative/creative-heartmula.md +++ b/website/docs/user-guide/skills/optional/creative/creative-heartmula.md @@ -19,7 +19,7 @@ HeartMuLa: Suno-like song generation from lyrics + tags. | Version | `1.0.0` | | Platforms | linux, macos, windows | | Tags | `music`, `audio`, `generation`, `ai`, `heartmula`, `heartcodec`, `lyrics`, `songs` | -| Related skills | [`audiocraft-audio-generation`](/docs/user-guide/skills/optional/creative/creative-audiocraft), [`songwriting-and-ai-music`](/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music) | +| Related skills | [`audiocraft-audio-generation`](/docs/user-guide/skills/optional/creative/creative-audiocraft-audio-generation), [`songwriting-and-ai-music`](/docs/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music) | ## Reference: full SKILL.md diff --git a/website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything.md b/website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md similarity index 96% rename from website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything.md rename to website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md index a7a722108dfe..474b989f5f9a 100644 --- a/website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything.md +++ b/website/docs/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md @@ -14,8 +14,8 @@ SAM: zero-shot image segmentation via points, boxes, masks. | | | |---|---| -| Source | Optional — install with `hermes skills install official/mlops/segment-anything` | -| Path | `optional-skills/mlops/models/segment-anything` | +| Source | Optional — install with `hermes skills install official/mlops/segment-anything-model` | +| Path | `optional-skills/mlops/models/segment-anything-model` | | Version | `1.0.0` | | Author | Orchestra Research | | License | MIT | @@ -92,7 +92,7 @@ import numpy as np from segment_anything import sam_model_registry, SamPredictor # Load model -sam = sam_model_registry["vit_h"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/checkpoint="sam_vit_h_4b8939.pth") +sam = sam_model_registry["vit_h"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/checkpoint="sam_vit_h_4b8939.pth") sam.to(device="cuda") # Create predictor @@ -478,7 +478,7 @@ decoded_mask = mask_utils.decode(rle) ```python # Use smaller model for limited VRAM -sam = sam_model_registry["vit_b"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/checkpoint="sam_vit_b_01ec64.pth") +sam = sam_model_registry["vit_b"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/checkpoint="sam_vit_b_01ec64.pth") # Process images in batches # Clear CUDA cache between large batches @@ -513,8 +513,8 @@ mask_generator = SamAutomaticMaskGenerator( ## References -- **[Advanced Usage](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/references/advanced-usage.md)** - Batching, fine-tuning, integration -- **[Troubleshooting](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/references/troubleshooting.md)** - Common issues and solutions +- **[Advanced Usage](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/references/advanced-usage.md)** - Batching, fine-tuning, integration +- **[Troubleshooting](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/references/troubleshooting.md)** - Common issues and solutions ## Resources diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/optional-skills-catalog.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/optional-skills-catalog.md index e644df9c2d01..e9a94e778c9f 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/optional-skills-catalog.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/optional-skills-catalog.md @@ -52,7 +52,7 @@ hermes skills uninstall | 技能 | 描述 | |-------|-------------| -| [**audiocraft-audio-generation**](/user-guide/skills/optional/creative/creative-audiocraft) | AudioCraft：MusicGen 文本转音乐、AudioGen 文本转音效。 | +| [**audiocraft-audio-generation**](/user-guide/skills/optional/creative/creative-audiocraft-audio-generation) | AudioCraft：MusicGen 文本转音乐、AudioGen 文本转音效。 | | [**blender-mcp**](/user-guide/skills/optional/creative/creative-blender-mcp) | 通过 socket 连接 blender-mcp 插件，直接从 Hermes 控制 Blender。创建 3D 对象、材质、动画，并运行任意 Blender Python（bpy）代码。适用于用户希望在 Blender 中创建或修改任何内容的场景。 | | [**concept-diagrams**](/user-guide/skills/optional/creative/creative-concept-diagrams) | 生成扁平、极简、支持亮色/暗色模式的 SVG 图表，输出为独立 HTML 文件，采用统一的教育视觉语言，包含 9 种语义色阶、句首大写排版及自动暗色模式。最适合教育和说明类内容。 | | [**heartmula**](/user-guide/skills/optional/creative/creative-heartmula) | HeartMuLa：根据歌词 + 标签生成类 Suno 风格的歌曲。 | @@ -144,7 +144,7 @@ hermes skills uninstall | [**pytorch-lightning**](/user-guide/skills/optional/mlops/mlops-pytorch-lightning) | 高层 PyTorch 框架，提供 Trainer 类、自动分布式训练（DDP/FSDP/DeepSpeed）、回调系统及极少样板代码。同一套代码可从笔记本扩展至超算。适用于希望训练循环简洁、同时保留完整 PyTorch 灵活性的场景。 | | [**qdrant-vector-search**](/user-guide/skills/optional/mlops/mlops-qdrant) | 高性能向量相似性搜索引擎，适用于 RAG 和语义搜索。适用于构建需要快速近邻搜索、带过滤的混合搜索或基于 Rust 高性能的可扩展向量存储的生产 RAG 系统。 | | [**sparse-autoencoder-training**](/user-guide/skills/optional/mlops/mlops-saelens) | 提供使用 SAELens 训练和分析稀疏自编码器（SAE）的指导，将神经网络激活分解为可解释特征。适用于发现可解释特征、分析叠加现象或研究神经网络内部结构的场景。 | -| [**segment-anything-model**](/user-guide/skills/optional/mlops/mlops-models-segment-anything) | SAM：通过点、框、掩码进行零样本图像分割。 | +| [**segment-anything-model**](/user-guide/skills/optional/mlops/mlops-models-segment-anything-model) | SAM：通过点、框、掩码进行零样本图像分割。 | | [**simpo-training**](/user-guide/skills/optional/mlops/mlops-simpo) | 用于 LLM 对齐的简单偏好优化（SimPO）。无需参考模型的 DPO 替代方案，性能更优（在 AlpacaEval 2.0 上提升 +6.4 分）。比 DPO 更高效。适用于希望简化偏好对齐流程的场景。 | | [**slime-rl-training**](/user-guide/skills/optional/mlops/mlops-slime) | 提供使用 slime（Megatron+SGLang 框架）进行 LLM RL 后训练的指导。适用于训练 GLM 模型、实现自定义数据生成工作流或需要紧密 Megatron-LM 集成以进行 RL 扩展的场景。 | | [**stable-diffusion-image-generation**](/user-guide/skills/optional/mlops/mlops-stable-diffusion) | 通过 HuggingFace Diffusers 使用 Stable Diffusion 模型进行最先进的文本到图像生成。适用于从文本 prompt 生成图像、图像到图像转换、图像修复或构建自定义扩散流水线的场景。 | diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/skills-catalog.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/skills-catalog.md index 606b03b64a29..d82880928e85 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/skills-catalog.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/reference/skills-catalog.md @@ -99,8 +99,8 @@ Hermes 在执行 `hermes update` 时也会同步内置技能，但同步清单 |-------|-------------|------| | [`huggingface-hub`](/user-guide/skills/bundled/mlops/mlops-huggingface-hub) | HuggingFace hf CLI：搜索/下载/上传模型、数据集。 | `mlops/huggingface-hub` | | [`llama-cpp`](/user-guide/skills/bundled/mlops/mlops-inference-llama-cpp) | llama.cpp 本地 GGUF 推理 + HF Hub 模型发现。 | `mlops/inference/llama-cpp` | -| [`evaluating-llms-harness`](/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness) | lm-eval-harness：对 LLM 进行基准测试（MMLU、GSM8K 等）。 | `mlops/evaluation/lm-evaluation-harness` | -| [`serving-llms-vllm`](/user-guide/skills/bundled/mlops/mlops-inference-vllm) | vLLM：高吞吐量 LLM 服务、OpenAI API 兼容、量化支持。 | `mlops/inference/vllm` | +| [`evaluating-llms-harness`](/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness) | lm-eval-harness：对 LLM 进行基准测试（MMLU、GSM8K 等）。 | `mlops/evaluation/evaluating-llms-harness` | +| [`serving-llms-vllm`](/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm) | vLLM：高吞吐量 LLM 服务、OpenAI API 兼容、量化支持。 | `mlops/inference/serving-llms-vllm` | | [`weights-and-biases`](/user-guide/skills/bundled/mlops/mlops-evaluation-weights-and-biases) | W&B：记录 ML 实验、超参数搜索、模型注册表、仪表盘。 | `mlops/evaluation/weights-and-biases` | ## note-taking diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md index bd524c319e2d..5741718df8a5 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music.md @@ -299,7 +299,7 @@ AI 歌手不是在阅读——它们是在发音。帮助它们： `hermes skills install official/creative/heartmula` - **audiocraft** — Meta 的 MusicGen（文本转纯音乐）和 AudioGen（音效生成）： - `hermes skills install official/creative/audiocraft` + `hermes skills install official/creative/audiocraft-audio-generation` 本 skill 中的歌词写作与提示词技巧同样适用于 heartmula — 它的输入格式是带方括号结构标签的歌词，加上逗号分隔的风格标签。 diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md similarity index 95% rename from website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md rename to website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md index e726fba51be9..ff1db16ee618 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness.md @@ -15,7 +15,7 @@ lm-eval-harness：对 LLM 进行基准测试（MMLU、GSM8K 等）。 | | | |---|---| | 来源 | 内置（默认安装） | -| 路径 | `skills/mlops/evaluation/lm-evaluation-harness` | +| 路径 | `skills/mlops/evaluation/evaluating-llms-harness` | | 版本 | `1.0.0` | | 作者 | Orchestra Research | | 许可证 | MIT | @@ -483,13 +483,13 @@ lm_eval --model hf \ ## 进阶主题 -**基准描述**：参见 [references/benchmark-guide.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/benchmark-guide.md)，了解所有 60+ 个任务的详细说明、测量内容及结果解读。 +**基准描述**：参见 [references/benchmark-guide.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/benchmark-guide.md)，了解所有 60+ 个任务的详细说明、测量内容及结果解读。 -**自定义任务**：参见 [references/custom-tasks.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/custom-tasks.md)，了解如何创建特定领域的评估任务。 +**自定义任务**：参见 [references/custom-tasks.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/custom-tasks.md)，了解如何创建特定领域的评估任务。 -**API 评估**：参见 [references/api-evaluation.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/api-evaluation.md)，了解如何评估 OpenAI、Anthropic 及其他 API 模型。 +**API 评估**：参见 [references/api-evaluation.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/api-evaluation.md)，了解如何评估 OpenAI、Anthropic 及其他 API 模型。 -**多 GPU 策略**：参见 [references/distributed-eval.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/lm-evaluation-harness/references/distributed-eval.md)，了解数据并行与张量并行评估方案。 +**多 GPU 策略**：参见 [references/distributed-eval.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/evaluation/evaluating-llms-harness/references/distributed-eval.md)，了解数据并行与张量并行评估方案。 ## 硬件要求 diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-vllm.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md similarity index 94% rename from website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-vllm.md rename to website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md index a16134da7a17..23200328542a 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-vllm.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm.md @@ -15,7 +15,7 @@ vLLM：高吞吐量 LLM 服务、OpenAI API、量化。 | | | |---|---| | 来源 | 内置（默认安装） | -| 路径 | `skills/mlops/inference/vllm` | +| 路径 | `skills/mlops/inference/serving-llms-vllm` | | 版本 | `1.0.0` | | 作者 | Orchestra Research | | 许可证 | MIT | @@ -362,13 +362,13 @@ vllm serve MODEL --speculative-model DRAFT_MODEL ## 高级主题 -**服务器部署模式**：参见 [references/server-deployment.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/server-deployment.md)，了解 Docker、Kubernetes 和负载均衡配置。 +**服务器部署模式**：参见 [references/server-deployment.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/server-deployment.md)，了解 Docker、Kubernetes 和负载均衡配置。 -**性能优化**：参见 [references/optimization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/optimization.md)，了解 PagedAttention 调优、continuous batching 详情及基准测试结果。 +**性能优化**：参见 [references/optimization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/optimization.md)，了解 PagedAttention 调优、continuous batching 详情及基准测试结果。 -**量化指南**：参见 [references/quantization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/quantization.md)，了解 AWQ/GPTQ/FP8 配置、模型准备及精度对比。 +**量化指南**：参见 [references/quantization.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/quantization.md)，了解 AWQ/GPTQ/FP8 配置、模型准备及精度对比。 -**故障排查**：参见 [references/troubleshooting.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/vllm/references/troubleshooting.md)，了解详细错误信息、调试步骤及性能诊断。 +**故障排查**：参见 [references/troubleshooting.md](https://github.com/NousResearch/hermes-agent/blob/main/skills/mlops/inference/serving-llms-vllm/references/troubleshooting.md)，了解详细错误信息、调试步骤及性能诊断。 ## 硬件要求 diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md similarity index 99% rename from website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft.md rename to website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md index 7bc2b436876c..225c3164593b 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-audiocraft-audio-generation.md @@ -14,8 +14,8 @@ AudioCraft：MusicGen 文本转音乐，AudioGen 文本转声音。 | | | |---|---| -| 来源 | 可选 — 通过 `hermes skills install official/creative/audiocraft` 安装 | -| 路径 | `optional-skills/creative/audiocraft` | +| 来源 | 可选 — 通过 `hermes skills install official/creative/audiocraft-audio-generation` 安装 | +| 路径 | `optional-skills/creative/audiocraft-audio-generation` | | 版本 | `1.0.0` | | 作者 | Orchestra Research | | 许可证 | MIT | diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-heartmula.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-heartmula.md index 9ea01cbc1bec..486720715ab2 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-heartmula.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/creative/creative-heartmula.md @@ -19,7 +19,7 @@ HeartMuLa：基于歌词与标签的类 Suno 歌曲生成。 | 版本 | `1.0.0` | | 平台 | linux, macos, windows | | 标签 | `music`, `audio`, `generation`, `ai`, `heartmula`, `heartcodec`, `lyrics`, `songs` | -| 相关 skill | [`audiocraft-audio-generation`](/user-guide/skills/optional/creative/creative-audiocraft), [`songwriting-and-ai-music`](/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music) | +| 相关 skill | [`audiocraft-audio-generation`](/user-guide/skills/optional/creative/creative-audiocraft-audio-generation), [`songwriting-and-ai-music`](/user-guide/skills/bundled/creative/creative-songwriting-and-ai-music) | ## 参考：完整 SKILL.md diff --git a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything.md b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md similarity index 97% rename from website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything.md rename to website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md index 22960834f875..464d7690e12f 100644 --- a/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything.md +++ b/website/i18n/zh-Hans/docusaurus-plugin-content-docs/current/user-guide/skills/optional/mlops/mlops-models-segment-anything-model.md @@ -15,7 +15,7 @@ SAM：通过点、框、掩码实现零样本图像分割。 | | | |---|---| | 来源 | 可选 — 通过 `hermes skills install official/mlops/segment-anything` 安装 | -| 路径 | `optional-skills/mlops/models/segment-anything` | +| 路径 | `optional-skills/mlops/models/segment-anything-model` | | 版本 | `1.0.0` | | 作者 | Orchestra Research | | 许可证 | MIT | @@ -92,7 +92,7 @@ import numpy as np from segment_anything import sam_model_registry, SamPredictor # 加载模型 -sam = sam_model_registry["vit_h"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/checkpoint="sam_vit_h_4b8939.pth") +sam = sam_model_registry["vit_h"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/checkpoint="sam_vit_h_4b8939.pth") sam.to(device="cuda") # 创建预测器 @@ -478,7 +478,7 @@ decoded_mask = mask_utils.decode(rle) ```python # 在 VRAM 有限时使用较小模型 -sam = sam_model_registry["vit_b"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/checkpoint="sam_vit_b_01ec64.pth") +sam = sam_model_registry["vit_b"](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/checkpoint="sam_vit_b_01ec64.pth") # 批量处理图像 # 在大批量之间清空 CUDA 缓存 @@ -513,8 +513,8 @@ mask_generator = SamAutomaticMaskGenerator( ## 参考资料 -- **[高级用法](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/references/advanced-usage.md)** - 批处理、微调、集成 -- **[故障排查](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything/references/troubleshooting.md)** - 常见问题与解决方案 +- **[高级用法](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/references/advanced-usage.md)** - 批处理、微调、集成 +- **[故障排查](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/models/segment-anything-model/references/troubleshooting.md)** - 常见问题与解决方案 ## 资源 diff --git a/website/sidebars.ts b/website/sidebars.ts index 37679b57c1cd..f914a7d45a2f 100644 --- a/website/sidebars.ts +++ b/website/sidebars.ts @@ -225,8 +225,8 @@ const sidebars: SidebarsConfig = { items: [ 'user-guide/skills/bundled/mlops/mlops-huggingface-hub', 'user-guide/skills/bundled/mlops/mlops-inference-llama-cpp', - 'user-guide/skills/bundled/mlops/mlops-evaluation-lm-evaluation-harness', - 'user-guide/skills/bundled/mlops/mlops-inference-vllm', + 'user-guide/skills/bundled/mlops/mlops-evaluation-evaluating-llms-harness', + 'user-guide/skills/bundled/mlops/mlops-inference-serving-llms-vllm', 'user-guide/skills/bundled/mlops/mlops-evaluation-weights-and-biases', ], }, @@ -353,7 +353,7 @@ const sidebars: SidebarsConfig = { key: 'skills-optional-creative', collapsed: true, items: [ - 'user-guide/skills/optional/creative/creative-audiocraft', + 'user-guide/skills/optional/creative/creative-audiocraft-audio-generation', 'user-guide/skills/optional/creative/creative-baoyu-article-illustrator', 'user-guide/skills/optional/creative/creative-baoyu-comic', 'user-guide/skills/optional/creative/creative-blender-mcp', @@ -491,7 +491,7 @@ const sidebars: SidebarsConfig = { 'user-guide/skills/optional/mlops/mlops-pytorch-lightning', 'user-guide/skills/optional/mlops/mlops-qdrant', 'user-guide/skills/optional/mlops/mlops-saelens', - 'user-guide/skills/optional/mlops/mlops-models-segment-anything', + 'user-guide/skills/optional/mlops/mlops-models-segment-anything-model', 'user-guide/skills/optional/mlops/mlops-simpo', 'user-guide/skills/optional/mlops/mlops-slime', 'user-guide/skills/optional/mlops/mlops-stable-diffusion',