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.
35.361 de skill-uri din 1.589 de depozite · actualizat acum 8 minute
35.359 de skill-uri
- snowflake-semanticviewgithub/awesome-copilotCreate, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.DateFără avertismente★ 40,4 K↓ —
- harness-engineeringgithub/awesome-copilotAdopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.TestareFără avertismente★ 40,4 K↓ —
- ux-flowsickn33/agentic-awesome-skillsDesign user flows and navigation structure following proven UX patternsDesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- dependency-upgradewshobson/agentsManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.TestareFără 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↓ —Apare și în 1 alt depozit
- rag-implementationwshobson/agentsBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.AlteleFără avertismente★ 41,6 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↓ —Apare și în 1 alt depozit
- python-anti-patternswshobson/agentsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.InginerieFără avertismente★ 41,6 K↓ —
- ui-pagesickn33/agentic-awesome-skillsScaffold a new mobile page/screen using the StyleSeed layout patternsDesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.InginerieFără avertismente★ 48,4 K↓ —
- defi-protocol-templateswshobson/agentsImplement DeFi protocols with production-ready templates for staking, AMMs, governance, and flash loans. Use when building decentralized finance applications or smart contract protocols.FinanțeFără avertismente★ 41,6 K↓ —
- kpi-dashboard-designwshobson/agentsDesign effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a cohort retention analysis view for a product team; or debugging a dashboard where metrics contradict each other due to inconsistent calculation methodology.DesignFără avertismente★ 41,6 K↓ —
- ui-lintsickn33/agentic-awesome-skillsQuick automated lint — detects common design system violations in secondsDesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- ui-a11ysickn33/agentic-awesome-skillsAudit a component or page for accessibility issues and fix themDesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- arize-annotationgithub/awesome-copilotCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.InginerieFără avertismente★ 40,4 K↓ —
- sponsor-findergithub/awesome-copilotFind which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").InginerieFără avertismente★ 40,4 K↓ —
- sql-prosickn33/agentic-awesome-skillsMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.DateFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- curlshotsickn33/agentic-awesome-skillsCapture web page screenshots, PDFs and scrolling videos, or render HTML/Markdown to images, with the hosted CurlShot API.MediaFără avertismente★ 48,4 K↓ —
- qdrant-monitoring-setupgithub/awesome-copilotGuides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.BrowserFără avertismente★ 40,4 K↓ —
- ai-debt-detectorwshobson/agentsUse after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.RedactareFără avertismente★ 41,6 K↓ —
- varlocksickn33/agentic-awesome-skillsSecure-by-default environment variable management for Claude Code sessions.InginerieFără avertismente★ 48,4 K↓ —
- conventional-branchgithub/awesome-copilotCreate Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.PlanificareFără avertismente★ 40,4 K↓ —
- cloudishsickn33/agentic-awesome-skillsDeploy a Dockerfile, source folder, or existing image to Cloudish as a running container at a live URL, built server-side with no local Docker, with confirmation before spending credits.DevOpsFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- team-communication-protocolswshobson/agentsStructured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.PlanificareFără avertismente★ 41,6 K↓ —
optimize-for-gpu
K-Dense-AI/scientific-agent-skills
DateActualizat acum 6 zile
De la autor
GPU-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.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill optimize-for-gpu -a claude-code
Se instalează în .claude/skills/optimize-for-gpu/ · 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 instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (16)
- SKILL.md
- references/code_transformation_patterns.md
- references/cucim.md
- references/cudf.md
- references/cugraph.md
- references/cuml.md
- references/cupy.md
- references/cuspatial.md
- references/cuvs.md
- references/cuxfilter.md
- references/decision_framework.md
- references/installation.md
- încă 4