Plugins

12 plugins
@alirezarezvani
Engineering Team
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,
16 skills · plugin
curated
DotNet Test Migration to MTP
Migrate .NET test projects from VSTest to MTP, updating project files, CLI, and CI/CD pipelines.
3 skills · plugin
curated
GKE Cost & Multitenancy
For platform engineers optimizing GKE costs and managing multi-tenant clusters with resource isolation.
2 skills · plugin
@brycewang-stanford
NEJM Skills
Twelve-skill bundle covering the NEJM clinical manuscript lifecycle: workflow router, clinical-significance fit, study design & trial registration, EQUATOR reporting guidelines, structured abstract, terse IMRAD writing, clinical statistics, clinical display items, clinical ethics & integrity, Vancouver/ICMJE references, submission preflight, and response to reviewers.
7 skills · plugin
curated
Validate Product Idea
Validate a product idea by clarifying intent, identifying risky assumptions, and designing experiments to test them.
4 skills · plugin
@anantha-236
Everything Claude Code Main
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
100 skills · plugin
@dotnet
Dotnet AI
AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.
5 skills · plugin
@fradser
Pi
Bridges to pi (dev/pi), a minimal terminal coding harness. Delegates coding tasks to the pi CLI for execution with full file and git context.
3 skills · plugin
@brycewang-stanford
PNAS Skills
Twelve-skill bundle covering the PNAS manuscript lifecycle: workflow router, scope/significance fit, submission-track selection (Direct vs Contributed), the ≤120-word Significance Statement, ≤250-word abstract, main-text writing with in-text Materials and Methods + classification, display items, statistics & reproducibility, data/code availability, numbered reference style, submission preflight, a
9 skills · plugin
@alirezarezvani
Ra Qm Team
14 regulatory affairs & quality management skills for HealthTech/MedTech: ISO 13485 QMS, MDR 2017/745, FDA 510(k)/PMA, GDPR/DSGVO, ISO 27001 ISMS, CAPA management, risk management, clinical evaluation, SOC 2 compliance.
10 skills · plugin
@pwdev-solucoes
Pwdev Youtrack
Integração com YouTrack Cloud v1.0 — MCP oficial embutido (2025.3+) para issues, busca com query language, comentários, artigos e log de trabalho; fallback REST para agile boards, sprints, relatórios de tempo e anexos; 2 skills, 4 comandos, setup guiado com token no Keychain
2 skills · plugin
@trailofbits
Trailmark
Builds multi-language source code graphs for security analysis: call graphs, attack surface mapping, blast radius, taint propagation, complexity hotspots, and entry point enumeration. Generates Mermaid diagrams (call graphs, class hierarchies, dependency maps, heatmaps). Compares code graph snapshots for structural diff and evolution analysis. Runs graph-informed mutation testing triage (genotoxic
10 skills · plugin

Results for “cl-te”

21 skills
More results
nvidia
Earth2studio Create Prognostic
Create Earth2Studio prognostic model wrappers that time-step weather forecasts forward, with triple-inheritance classes, tests, and documentation.
2.2k · bundle
qhjqhj00
Lambre
Scores generated text for morphosyntactic well-formedness by measuring how closely it adheres to language-specific dependency rules extracted from treebanks.
3
nvidia
Tao Train Pointpillars
Train, evaluate, export, prune, and run inference for PointPillars 3D object detection models from LiDAR point clouds using NVIDIA TAO.
2.2k · bundle
qhjqhj00
Pennylane
Train quantum circuits with automatic differentiation and build hybrid quantum-classical models using PennyLane, including VQE, QAOA, and integration with PyTorch, JAX, and TensorFlow.
3 · bundle
nvidia
Tilegym Cutile Autotuning
Adds autotuning to CuTile kernels using the exhaustive_search API with a tune-once/cache/direct-launch pattern, covering occupancy-only and complex tile-size search spaces.
2.2k · bundle
antigravity
Ml Engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks, including model serving, feature engineering, A/B testing, and monitoring.
42.4k
orchestra-research
Slime Rl Training
Post-train LLMs with reinforcement learning using the slime framework, which integrates Megatron-LM for training and SGLang for rollout generation.
10.4k · bundle
jeffallan
Ml Pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.
10.4k · bundle
orchestra-research
Sentence Transformers
Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.
10.4k · bundle
qhjqhj00
L Eval
Benchmarks long-context language models across 20 sub-tasks spanning 3k–200k tokens, covering retrieval, reasoning, summarization, and instruction understanding, with exact-match accuracy as the primary metric.
3
lord1egypt
Slime Rl Training
Guides LLM post-training with RL using slime, a Megatron+SGLang framework for training GLM, Qwen, DeepSeek, and Llama models with GRPO, async, and multi-turn workflows.
2
gabrielmoreira
Gi Expression
Predicts tissue or cell-type gene expression (log TPM and TPM) from a TSS-centered DNA sequence using the hosted Genomic Intelligence G0 Expression model, conditioned on a free-text cell-type description.
17 · bundle
qhjqhj00
Ray Data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle
antigravity
Mathguard
Guides AI agents to apply advanced mathematical and probabilistic techniques (Bloom filters, HyperLogLog, FFT, etc.) for large-scale data problems where classical algorithms are optimal but math offers better asymptotic bounds.
42.4k
huggingface
Hf Cloud Sagemaker Deployment Planner
Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.
10.8k