Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
14.555 de skill-uri din 421 de depozite · actualizat acum 8 ore
14.553 de skill-uri
- seo-auditsickn33/agentic-awesome-skillsDiagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.MarketingFără avertismente★ 48,4 K↓ —
- scala-prosickn33/agentic-awesome-skillsMaster enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.PlanificareFără avertismente★ 48,4 K↓ —
- seo-driftsickn33/agentic-awesome-skillsSnapshot a site's SEO state and detect ranking, indexation, metadata, canonical, robots, schema, and on-page regressions over time.MarketingFără avertismente★ 48,4 K↓ —
- tokenleaksickn33/agentic-awesome-skillsToken-lean rules for coding agents: cut the context re-sent on every later call (big reads, noisy logs, re-reads, serial calls) without losing correctness.InginerieFără avertismente★ 48,4 K↓ —
- anywritesickn33/agentic-awesome-skillsCompiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.InginerieFără avertismente★ 48,4 K↓ —
- databasesickn33/agentic-awesome-skillsDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.DateFără avertismente★ 48,4 K↓ —
- debuggersickn33/agentic-awesome-skillsDebugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.InginerieFără avertismente★ 48,4 K↓ —
- optimize-for-gpuK-Dense-AI/scientific-agent-skillsGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.DateFără avertismente★ 54,1 K↓ —
- bgpt-paper-searchK-Dense-AI/scientific-agent-skillsSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.ȘtiințăFără avertismente★ 54,1 K↓ —
- hf-mcpsickn33/agentic-awesome-skillsUse Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.AlteleFără avertismente★ 48,4 K↓ —
- ask-mattsickn33/agentic-awesome-skillsAsk which skill or flow fits your situation. A router over the user-invoked skills in this repo.AlteleFără avertismente★ 48,4 K↓ —
- solidpingsickn33/agentic-awesome-skillsRun SolidPing uptime monitoring through its hosted MCP server: list and diagnose checks, read results and incidents, create checks across 40+ types, and manage status pages.AlteleFără avertismente★ 48,4 K↓ —
- anti-sleepsickn33/agentic-awesome-skillsKeep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.AlteleFără avertismente★ 48,4 K↓ —
- career-opscareer-ops-hq/career-opsOpen-source AI job search agent -- evaluate offers, generate CVs, scan portals, track applications. Use when the user pastes a job URL or JD, asks to scan portals, generate a CV/PDF, track applications, prepare for interviews, draft outreach/emails, or run any career-ops mode.DocumenteFără avertismente★ 76,7 K↓ —
- vision-sftwshobson/agentsFine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.MediaFără avertismente★ 41,6 K↓ —
- ux-copysickn33/agentic-awesome-skillsGenerate UX microcopy (button labels, error messages, empty states, toasts) following a casual-but-polite voice and toneDesignFără avertismente★ 48,4 K↓ —
- ux-flowsickn33/agentic-awesome-skillsDesign user flows and navigation structure following proven UX patternsDesignFără avertismente★ 48,4 K↓ —
- build-uisickn33/agentic-awesome-skillsStep-by-step workflow for UI work: read the project, follow the plan for the job (new screen, dashboard, polish, simplify, review), then render, fix and check again.DesignFără avertismente★ 48,4 K↓ —
- cellxgene-censusK-Dense-AI/scientific-agent-skillsQueries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.ProductivitateFără avertismente★ 54,1 K↓ —
- varlocksickn33/agentic-awesome-skillsSecure-by-default environment variable management for Claude Code sessions.InginerieFără avertismente★ 48,4 K↓ —
- torch-geometricK-Dense-AI/scientific-agent-skillsSupports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.DateFără avertismente★ 54,1 K↓ —
- career-opscareer-ops-hq/career-opsOpen-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit. Runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and more).PlanificareFără avertismente★ 76,7 K↓ —Apare și în 5 alte depozite
- ui-pagesickn33/agentic-awesome-skillsScaffold a new mobile page/screen using the StyleSeed layout patternsDesignFără avertismente★ 48,4 K↓ —
- use-domsickn33/agentic-awesome-skillsUse Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.InginerieFără avertismente★ 48,4 K↓ —
torch-geometric
K-Dense-AI/scientific-agent-skills
DateActualizat acum 4 zile
De la autor
Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill torch-geometric -a claude-code
Se instalează în .claude/skills/torch-geometric/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (8)
- SKILL.md
- references/custom_datasets.md
- references/explainability.md
- references/heterogeneous.md
- references/link_prediction.md
- references/message_passing.md
- references/review.md
- references/scaling.md