무료GitHub에 공개

repo-skills-router

Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or two most likely area pages; compare candidates by capability, task surface, model/data format, training versus inference versus evaluation intent, runtime constraints, and root-skill description; then open only the selected root and relevant sub-skills, references, or scripts. Select multiple repositories only when each adds a distinct capability. Do not load the whole collection, treat dependencies or incidental integrations as capabilities, choose by name alone, or force a match when no exact taxonomy family applies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill

실행 점수 미검증

설치 방법 보기

포함된 파일(200)

SKILL.md4.0 KB
references/areas/autonomous-driving.md1.0 KB
references/areas/biomedical-ai.md2.9 KB
references/areas/computer-vision.md5.1 KB
references/areas/data-science.md2.9 KB
references/areas/generative-media.md3.3 KB
references/areas/graph-learning.md1.2 KB
references/areas/information-retrieval.md1.1 KB
references/areas/llm-applications.md4.0 KB
references/areas/llm-models-training-and-alignment.md1.9 KB
references/areas/mlops.md3.4 KB
references/areas/model-deployment-and-optimization.md1.3 KB
references/areas/natural-language-processing.md2.5 KB
references/areas/probabilistic-and-causal-modeling.md1.2 KB
references/areas/reinforcement-learning.md1.4 KB
references/areas/responsible-ai.md1.1 KB
references/areas/robotics-and-embodied-ai.md1.9 KB
references/areas/scientific-computing.md4.3 KB
references/areas/speech-and-audio.md1.4 KB
references/areas/time-series-analysis.md1.9 KB
references/areas/training-infrastructure.md3.2 KB
references/families/autonomous-driving/driving-perception.md4.3 KB
references/families/autonomous-driving/driving-simulation-and-evaluation.md4.1 KB
references/families/autonomous-driving/motion-planning-and-control.md3.6 KB
references/families/biomedical-ai/clinical-prediction-from-health-records.md848 B
references/families/biomedical-ai/digital-pathology.md1.0 KB
references/families/biomedical-ai/medical-image-classification.md1.3 KB
references/families/biomedical-ai/medical-image-reconstruction.md835 B
references/families/biomedical-ai/medical-image-registration.md1.5 KB
references/families/biomedical-ai/medical-imaging-toolkits.md4.1 KB
references/families/biomedical-ai/medical-object-detection.md952 B
references/families/biomedical-ai/medical-segmentation.md3.9 KB
references/families/biomedical-ai/microscopy-image-analysis.md1.3 KB
references/families/biomedical-ai/neuroimaging.md1.8 KB
references/families/biomedical-ai/physiological-signal-analysis.md1.1 KB
references/families/computer-vision/3d-reconstruction.md1.8 KB
references/families/computer-vision/3d-scene-understanding.md3.6 KB
references/families/computer-vision/backbone-model-libraries.md4.0 KB
references/families/computer-vision/detection-utilities.md2.8 KB
references/families/computer-vision/document-vision.md5.5 KB
references/families/computer-vision/image-classification.md10.0 KB
references/families/computer-vision/image-processing.md4.1 KB
references/families/computer-vision/image-restoration.md4.6 KB
references/families/computer-vision/image-segmentation.md13.1 KB
references/families/computer-vision/object-detection-models.md6.3 KB
references/families/computer-vision/object-detection-toolkits.md7.1 KB
references/families/computer-vision/object-tracking.md3.8 KB
references/families/computer-vision/open-vocabulary-detection.md1.6 KB
references/families/computer-vision/panorama-stitching.md804 B
references/families/computer-vision/pose-estimation.md4.0 KB
references/families/computer-vision/synthetic-vision-data.md951 B
references/families/computer-vision/video-understanding.md2.2 KB
references/families/computer-vision/vision-language-understanding.md4.5 KB
references/families/computer-vision/visual-anomaly-detection.md797 B
references/families/computer-vision/visual-correspondence-and-localization.md2.5 KB
references/families/computer-vision/visual-identity-analysis.md3.1 KB
references/families/data-science/data-integration.md5.7 KB
references/families/data-science/data-profiling.md2.4 KB
references/families/data-science/data-visualization.md9.8 KB
references/families/data-science/dataset-discovery.md1.9 KB
references/families/data-science/dimensionality-reduction.md2.2 KB
references/families/data-science/feature-engineering.md2.9 KB
references/families/data-science/geospatial-computing.md5.7 KB
references/families/data-science/online-machine-learning.md1.1 KB
references/families/data-science/recommender-systems.md2.5 KB
references/families/data-science/scalable-data-processing.md3.1 KB
references/families/data-science/statistical-inference.md1.6 KB
references/families/data-science/tabular-modeling.md4.3 KB
references/families/generative-media/3d-asset-generation.md1.7 KB
references/families/generative-media/audio-generation.md2.4 KB
references/families/generative-media/character-motion-editing.md1.1 KB
references/families/generative-media/generative-media-evaluation.md2.5 KB
references/families/generative-media/generative-model-adaptation.md6.4 KB
references/families/generative-media/generative-model-components.md3.4 KB
references/families/generative-media/image-editing.md6.7 KB
references/families/generative-media/image-synthesis-toolkits.md4.3 KB
references/families/generative-media/image-synthesis.md8.5 KB
references/families/generative-media/media-generation-applications.md6.6 KB
references/families/generative-media/neural-rendering.md3.0 KB
references/families/generative-media/vae-libraries.md1.0 KB
references/families/generative-media/video-synthesis.md5.7 KB
references/families/graph-learning/gnn-frameworks.md3.9 KB
references/families/graph-learning/graph-datasets-and-benchmarks.md2.4 KB
references/families/graph-learning/knowledge-graphs.md5.0 KB
references/families/graph-learning/spatio-temporal-graphs.md1.2 KB
references/families/information-retrieval/first-stage-retrieval.md6.8 KB
references/families/information-retrieval/reranking.md2.6 KB
references/families/information-retrieval/retrieval-evaluation.md2.9 KB
references/families/information-retrieval/vector-search.md6.3 KB
references/families/llm-applications/agent-platforms.md6.7 KB
references/families/llm-applications/agent-sdks.md9.4 KB
references/families/llm-applications/agent-tools-and-skills.md12.2 KB
references/families/llm-applications/autonomous-agent-applications.md6.0 KB
references/families/llm-applications/chat-and-knowledge-applications.md5.4 KB
references/families/llm-applications/code-generation.md2.7 KB
references/families/llm-applications/constrained-generation.md2.4 KB
references/families/llm-applications/document-intelligence.md6.1 KB
references/families/llm-applications/llm-application-evaluation.md3.8 KB
references/families/llm-applications/llm-observability.md3.3 KB
references/families/llm-applications/llm-safety-guardrails.md850 B
references/families/llm-applications/llm-workflow-frameworks.md6.0 KB
references/families/llm-applications/memory-and-context.md4.7 KB
references/families/llm-applications/multi-agent-orchestration.md8.0 KB
references/families/llm-applications/prompting-and-reasoning-methods.md2.4 KB
references/families/llm-applications/rag-frameworks.md9.4 KB
references/families/llm-models-training-and-alignment/llm-fine-tuning.md12.7 KB
references/families/llm-models-training-and-alignment/model-evaluation-benchmarks.md5.5 KB
references/families/llm-models-training-and-alignment/multi-stage-llm-training.md3.1 KB
references/families/llm-models-training-and-alignment/open-weight-model-releases.md4.5 KB
references/families/llm-models-training-and-alignment/preference-and-reinforcement-alignment.md7.9 KB
references/families/llm-models-training-and-alignment/pretraining.md4.4 KB
references/families/mlops/active-learning.md983 B
references/families/mlops/automl.md5.7 KB
references/families/mlops/compute-scheduling.md1.5 KB
references/families/mlops/data-annotation.md1.9 KB
references/families/mlops/data-validation.md2.2 KB
references/families/mlops/dataset-management.md2.9 KB
references/families/mlops/experiment-tracking.md3.9 KB
references/families/mlops/feature-platforms.md772 B
references/families/mlops/ml-platform-suites.md2.1 KB
references/families/mlops/ml-project-scaffolding.md2.1 KB
references/families/mlops/model-hubs-and-registries.md2.4 KB
references/families/mlops/model-monitoring.md820 B
references/families/mlops/pipeline-orchestration.md6.1 KB
references/families/mlops/programmatic-labeling.md945 B
references/families/mlops/structured-synthetic-data.md1.4 KB
references/families/model-deployment-and-optimization/edge-deployment.md3.4 KB
references/families/model-deployment-and-optimization/inference-serving.md12.8 KB
references/families/model-deployment-and-optimization/model-compilation.md5.7 KB
references/families/model-deployment-and-optimization/model-compression.md7.3 KB
references/families/natural-language-processing/dialogue-systems.md831 B
references/families/natural-language-processing/information-extraction.md4.3 KB
references/families/natural-language-processing/language-specific-nlp.md2.2 KB
references/families/natural-language-processing/machine-translation.md1.6 KB
references/families/natural-language-processing/nlp-toolkit-suites.md3.5 KB
references/families/natural-language-processing/text-classification.md3.8 KB
references/families/natural-language-processing/text-embeddings.md3.5 KB
references/families/natural-language-processing/text-generation.md2.5 KB
references/families/natural-language-processing/topic-modeling.md1006 B
references/families/probabilistic-and-causal-modeling/bayesian-inference.md2.5 KB
references/families/probabilistic-and-causal-modeling/causal-discovery.md1.0 KB
references/families/probabilistic-and-causal-modeling/causal-effect-estimation.md1.7 KB
references/families/probabilistic-and-causal-modeling/graphical-models.md1.7 KB
references/families/reinforcement-learning/model-based-rl-and-planning.md2.7 KB
references/families/reinforcement-learning/multi-agent-rl.md1.9 KB
references/families/reinforcement-learning/rl-algorithm-implementations.md8.0 KB
references/families/reinforcement-learning/rl-environments.md4.9 KB
references/families/reinforcement-learning/rl-training-frameworks.md6.3 KB
references/families/responsible-ai/adversarial-robustness.md1.4 KB
references/families/responsible-ai/explainability.md1.9 KB
references/families/responsible-ai/fairness.md1.3 KB
references/families/responsible-ai/privacy-preserving-ml.md2.7 KB
references/families/robotics-and-embodied-ai/manipulation.md4.5 KB
references/families/robotics-and-embodied-ai/robot-learning-frameworks.md3.9 KB
references/families/robotics-and-embodied-ai/robot-locomotion.md3.1 KB
references/families/robotics-and-embodied-ai/robot-navigation.md1.3 KB
references/families/robotics-and-embodied-ai/robot-simulation.md8.1 KB
references/families/robotics-and-embodied-ai/slam-and-localization.md1.9 KB
references/families/robotics-and-embodied-ai/state-estimation.md1.1 KB
references/families/scientific-computing/agent-based-simulation.md1.2 KB
references/families/scientific-computing/astronomy-and-astrophysics.md1.3 KB
references/families/scientific-computing/biomolecular-visualization.md1.4 KB
references/families/scientific-computing/earth-observation.md2.4 KB
references/families/scientific-computing/energy-system-optimization.md783 B
references/families/scientific-computing/genomics-and-bioinformatics.md6.4 KB
references/families/scientific-computing/geophysics-and-seismology.md1.1 KB
references/families/scientific-computing/materials-informatics.md1.8 KB
references/families/scientific-computing/mathematical-optimization.md3.9 KB
references/families/scientific-computing/molecular-informatics.md5.2 KB
references/families/scientific-computing/molecular-simulation.md2.4 KB
references/families/scientific-computing/neural-simulation-and-spiking-networks.md1.4 KB
references/families/scientific-computing/physics-simulation.md2.7 KB
references/families/scientific-computing/protein-modeling.md5.8 KB
references/families/scientific-computing/quantum-computing.md3.1 KB
references/families/scientific-computing/weather-and-climate-modeling.md907 B
references/families/speech-and-audio/audio-enhancement.md1.4 KB
references/families/speech-and-audio/audio-understanding.md2.1 KB
references/families/speech-and-audio/speech-and-audio-toolkits.md3.8 KB
references/families/speech-and-audio/speech-recognition.md4.9 KB
references/families/speech-and-audio/speech-synthesis.md3.6 KB
references/families/time-series-analysis/anomaly-detection.md2.0 KB
references/families/time-series-analysis/forecasting.md6.5 KB
references/families/time-series-analysis/time-frequency-analysis.md989 B
references/families/time-series-analysis/time-series-classification.md1.5 KB
references/families/time-series-analysis/time-series-clustering.md770 B
references/families/time-series-analysis/time-series-imputation.md1.0 KB
references/families/time-series-analysis/time-series-toolkits.md4.0 KB
references/families/training-infrastructure/cross-domain-model-libraries.md2.6 KB
references/families/training-infrastructure/deep-learning-frameworks.md2.0 KB
references/families/training-infrastructure/distributed-training-systems.md8.4 KB
references/families/training-infrastructure/domain-adaptation-and-transfer-learning.md1.7 KB
references/families/training-infrastructure/meta-learning.md789 B
references/families/training-infrastructure/model-inspection.md1004 B
references/families/training-infrastructure/multi-task-learning.md915 B
references/families/training-infrastructure/neural-network-components.md4.4 KB
references/families/training-infrastructure/pedagogical-ml-implementations.md4.0 KB
references/families/training-infrastructure/tensor-computation-and-autodiff.md2.6 KB
references/families/training-infrastructure/training-data-pipelines.md4.6 KB
references/families/training-infrastructure/training-loop-toolkits.md5.8 KB
references/index/assignments.jsonl386.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Repo Skills Router

Use this router for substantive requests where a managed repository skill may provide implementation guidance. It is a progressive-disclosure index, not a replacement for the selected repository skill.

Routing procedure

Identify the user's dominant capability, workflow, data/model format, and runtime intent.
Read only the one or two most likely area pages below.
Compare the relevant family pages, especially when training, inference, evaluation, deployment, or similarly named repositories overlap.
Open the selected repository root at ../repo-skills/<skill-id>/SKILL.md, then read only its relevant sub-skills, references, and scripts.
If no exact family fits, do not force a repository match; continue with the general task context or report that the managed collection has no exact route.

A repository may appear in several families. Choose the smallest set of repository roots that directly covers the request, and do not load every candidate listed on a family page.

Area quick map

Area	Populated families	Repository memberships
Computer Vision	21	312
Biomedical AI	11	50
Generative Media	13	194
Speech and Audio	5	56
Natural Language Processing	9	78
LLM Applications	16	325
LLM Models, Training, and Alignment	6	149
Information Retrieval	4	67
MLOps	15	116
Model Deployment and Optimization	4	114
Training Infrastructure	12	135
Reinforcement Learning	5	82
Robotics and Embodied AI	7	81
Autonomous Driving	3	38
Graph Learning	4	42
Scientific Computing	16	124
Data Science	12	152
Time Series Analysis	7	53
Probabilistic and Causal Modeling	4	20
Responsible AI	4	21

Maintenance

The machine-readable files under references/index/ are the generated routing source of truth. Do not hand-edit area or family pages. For import, refresh, extension, or taxonomy changes, read references/maintenance.md and use the verified importer/updater transaction.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

같은 저장소의 스킬

3d-resnets-pytorch

무료

Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

3ddfa

무료

Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

3ddfa-v2

무료

Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

ab3dmot

무료

Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

accelerate

무료

Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

acme

무료

Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VectorSpaceLab/AREX-Skill3412026년 9월 3일 업데이트

VectorSpaceLab의 스킬 모두 보기

이 스킬의 문제 신고

설치

명령으로 설치

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill repo-skills-router

터미널에 붙여 넣고 실행합니다(Node.js 필요). Claude Code, Codex 등 설치할 에이전트를 고를 수 있습니다.

에이전트에게 부탁하기

다음 Agent Skill을 설치해 주세요.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills-router

먼저 SKILL.md와 첨부 파일의 내용을 확인해 수상한 처리(외부 전송, 인증 정보 읽기 등)가 없는지 확인한 뒤 Claude Code는 ~/.claude/skills/repo-skills-router/, Codex는 ~/.agents/skills/repo-skills-router/ 에 배치해 주세요.

이 문장을 그대로 Claude Code나 Codex에 보내면 내용을 확인한 뒤 설치해 줍니다.

GitHub에서 소스 보기

저장소: VectorSpaceLab/AREX-Skill
스타: 341
포크: 26
카테고리: 인프라·DevOps
라이선스: Apache-2.0
원문 언어: 영어
최종 업데이트: 2026년 9월 3일

스킬은 에이전트를 위한 지시와 스크립트의 묶음입니다. cccskills는 내용의 안전성을 보증하지 않습니다. 설치하기 전에 내용을 확인하세요.