AGENT SKILLS · EQUIPO DE MISIÓN
Agent Skills útiles ordenados por uso real
Compara Skills verificados por función, contenido del paquete, instalaciones y fiabilidad de la fuente antes de añadirlos.
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- Skills
- 22.446
- repositorios
- 3448
- última sincronización
- 29 oct 2026
stripestripe-apps
Build, modify, or review Stripe Apps and extensions using the relevant documentation and reference guides. Use for custom Stripe Dashboard UI, stripe-app.yaml, @stripe/ui-extension-sdk, @stripe/extensibility-sdk, script extensions, extension interfaces, custom workflow actions, and apps that authenticate to Stripe or react to events. Also use when deciding whether a Stripe extension can support the user's billing or workflow requirements.
- Instalaciones / 1h
- 1
- GitHub Stars
- 2 mil
- Actualizado
- 20 oct
stripestripe-pay
Helps users send funds to another Stripe business, transfer money to a Stripe Profile handle or network ID, or ask whether an agent can pay a Stripe business. Use Stripe Directory to find or verify a recipient when the user doesn't provide an exact Stripe Profile handle or network ID.
- Instalaciones / 1h
- 1
- GitHub Stars
- 2 mil
- Actualizado
- 20 oct
orchestra-researchara-research-manager
Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchaudiocraft-audio-generation
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchautogpt-agents
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchautoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experimen
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchawq-quantization
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchaxolotl
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchblip-2-vision-language
Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchclip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchdistributed-llm-pretraining-torchtitan
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchdspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchevaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchevaluating-cosmos-policy
Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchevaluating-llms-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchfaiss
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchfine-tuning-openvla-oft
Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchfine-tuning-serving-openpi
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchfine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchgguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchhuggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchknowledge-distillation
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchlambda-labs-gpu-cloud
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct
orchestra-researchlangchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
- Instalaciones / 1h
- 1
- GitHub Stars
- 13,7 mil
- Actualizado
- 11 oct