Packs
12 packs@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 · pack
@dokhacgiakhoa
.Agent
.Agent from Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI.
100 skills · pack
curated
Full-Stack Deployment Pipeline
Coordinate staged releases across Stripe, Supabase, and Vercel from the shell using Composio CLI.
6 skills · pack
curated
DotNet Test Migration to MTP
Migrate .NET test projects from VSTest to MTP, updating project files, CLI, and CI/CD pipelines.
3 skills · pack
@fradser
Git Agent
AI-first Git CLI automation — atomic AI commits, co-change relations, autonomous git health agent, pre-tool hook safety, and workspace initialization
2 skills · pack
@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 · pack
@fradser
Hardware
Hardware and EDA toolkit. Drives the KiCad CLI for schematic/PCB export and checks, and OpenSCAD for parametric 3D/2D part design and STL/DXF/PNG output.
2 skills · pack
@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 · pack
@redpanda-data
Redpanda Data Skills
Agent Skills for Redpanda's five products — Streaming (Kafka-compatible engine), SQL (Oxla), Connect (incl. CDC connectors), Cloud (Serverless, BYOC, Dedicated), and the Agentic Data Plane — plus the rpk CLI. Grounded in Redpanda source, docs, and APIs.
32 skills · pack
@pwdev-solucoes
Pwdev Code
Spec-driven development framework v2.3 — 8 real subagents (incl. advisor), per-task model routing, curated memory graph, opt-in parallel waves, external CLI delegation (Codex/OpenCode/Kimi/Gemini/Kiro), simplification pass, strict verify, audit hooks, 22 commands
2 skills · pack
@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 · pack
@alirezarezvani
Research Ops
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capital
5 skills · pack
Results for “cli”
18 skillstao-finetune-clip
Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.
2.2k · bundle
pyhealth
Build clinical deep-learning pipelines with PyHealth: load EHR, signal, and imaging datasets, define prediction tasks, instantiate models, train with the PyHealth Trainer, and compute clinical metrics.
30.2k · bundle
gws-modelarmor
Filters user-generated content for safety using Google Model Armor via the gws CLI.
0
hf-cli
Manage Hugging Face Hub resources via the `hf` CLI: download and upload models, datasets, and spaces; manage buckets, cache, collections, discussions, and inference endpoints; run SQL queries on datasets.
2 · bundle
nemo-evaluator-plugin
Run evaluation tasks against a NeMo Platform server using the Evaluator plugin CLI and Python SDK.
2.2k · bundle
tao-validate-dataset-format
Validates NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors using the `tao-daft validate` CLI tool.
2.2k · bundle
More results
huggingface-hub
Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.
2
microsoft-foundry
Deploy, evaluate, fine-tune, and manage Microsoft Foundry agents end-to-end using Azure Developer CLI and MCP tools.
2.7k · bundle
recombinator
Simulates meiotic recombination to produce offspring genomes from parent pairs, modeling Mendelian segregation, de novo mutation, sex determination, trait inference, and clinical evaluation against a disease registry.
17 · bundle
score
Audits medical LLM benchmarks across five lifecycle phases using 46 medically tailored criteria to assess clinical relevance, data integrity, safety-critical capabilities, validity, and governance.
3
huggingface-local-models
Search the Hugging Face Hub for llama.cpp-compatible GGUF models, select the right quantization, and run them locally with llama-cli or llama-server.
10.8k · bundle
hf-cli
Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.
10.8k
dit
Classifies HTML pages, forms, and fields using machine learning to detect page types, form types, and field types from HTML content or URLs.
567 · bundle
earth2studio-create-diagnostic
Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics.
2.2k · bundle
managing-ray
Manages Ray clusters, jobs, Serve deployments, and distributed workloads via the Dashboard API and CLI, with discovery-first checks and safety guardrails.
7
trl-training
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning) with support for SFT, DPO, GRPO, KTO, RLOO, and reward model training via CLI commands.
10.8k
polos
Scores generated image captions against reference captions and source images using the Polos metric, which is trained to align with human judgments and probes hallucination robustness and open-vocabulary evaluation.
3
tao-train-action-recognition
Train, evaluate, export, and run inference on TAO action-recognition models for classifying temporal actions in video clips using RGB, optical flow, or joint input.
2.2k · bundle