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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 10 ore
47.964 de skill-uri
- doc-kami-parchmentnexu-io/html-anything暖羊皮纸底 (#f5f4ed) + 墨蓝单色 accent (#1B365D) + 单一衬线字体, 编辑级排印AlteleFără avertismente★ 9,3 K↓ —
- migrating-dbt-project-across-platformsdbt-labs/dbt-agent-skillsUse when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.OficialDateFără avertismente★ 749↓ —
- requesting-code-reviewjnMetaCode/superpowers-zh完成任务、实现重要功能或合并前使用，用于验证工作成果是否符合要求InginerieFără avertismente★ 8,4 K↓ —
- article-magazinenexu-io/html-anythingSubstack / Medium 高级感长文排版, 适合公众号、博客发布RedactareFără avertismente★ 9,3 K↓ —
- observability-service-reliabilityelastic/agent-skillsDesign and operate service reliability targets in Elastic Observability: choose an SLI type and a defensible target, pick a time window and budgeting method, create and maintain SLOs through the Kibana API, attach burn-rate alert rules, and decide when an SLO is the wrong instrument and a threshold rule, anomaly job, or synthetics monitor is right. Use when defining or reviewing SLOs and error budgets, tuning burn-rate alerting, reducing alert noise, or setting up availability monitoring for a user-facing endpoint.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- deck-swiss-internationalnexu-io/html-anything16 列网格 + 单一饱和 accent + 22 个锁死版面 (Klein Blue / Lemon / Mint / Safety Orange)DocumenteFără avertismente★ 9,3 K↓ —
- python-proJeffallan/claude-skillsUse when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.InginerieFără avertismente★ 12,1 K↓ —
- delegating-workmvschwarz/openrigUse when you have a task and must decide WHO does it — yourself, a spawned subagent, or another agent in the topology that already holds the context — or how to brief the agent you hand it to, which depends on the model it runs. The rule: how much would a blank slate have to read in to do this correctly? A lot → route to a context-holding agent; a little → subagent; unsure → a real agent or yourself. NOT the mechanics of fanning out (that's dispatching-parallel-agents / subagent-driven-development) — this is the who/whether decision, and the failure mode that makes teams abandon subagents. Also use it to decide how far to trust a delegated result.ProductivitateFără avertismente★ 8,3 K↓ —
- dogfoodmvschwarz/openrigSystematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.TestareFără avertismente★ 8,3 K↓ —Apare și în 1 alt depozit
- session-source-forkmvschwarz/openrigUse when authoring a rig spec member or `rig expand` payload that needs to start a new managed seat from a prior runtime conversation source — `session_source: { mode: fork, ref: { kind, value } }`. v1 supports `mode: fork` with `ref.kind: native_id` for Claude and Codex. The new seat persists a NEW post-fork token; the parent token is NEVER written onto the new seat. NOT for restoring an existing seat or for artifact-backed mental-model rebuild.RedactareFără avertismente★ 8,3 K↓ —Apare și în 1 alt depozit
- observability-onboardingelastic/agent-skillsOnboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ES|QL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic Elastic APM agent, or debugging why an instrumented service is not showing up in Elastic.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- ads-attributionAgriciDaniel/claude-adsAudit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies.MarketingFără avertismente★ 10,6 K↓ —
- using-dbt-for-analytics-engineeringdbt-labs/dbt-agent-skillsBuilds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.OficialDateFără avertismente★ 749↓ —
- mcp-developerJeffallan/claude-skillsUse when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.JuridicFără avertismente★ 12,1 K↓ —
- agents-mdgetsentry/skillsCreates and maintains concise AGENTS.md and CLAUDE.md project instruction files. Use when asked to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, document repository agent conventions, or keep coding-agent instructions minimal and reference-backed.OficialInginerieFără avertismente★ 1,1 K↓ —
- poster-heronexu-io/html-anything竖版海报 / 朋友圈分享图, 强视觉冲击AlteleFără avertismente★ 9,3 K↓ —Apare și în 1 alt depozit
- golang-proJeffallan/claude-skillsImplements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.TestareFără avertismente★ 12,1 K↓ —
- architecture-designerJeffallan/claude-skillsUse when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.PlanificareFără avertismente★ 12,1 K↓ —
- fine-tuning-expertJeffallan/claude-skillsUse when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.DevOpsFără avertismente★ 12,1 K↓ —
- feature-forgeJeffallan/claude-skillsConducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices.RedactareFără avertismente★ 12,1 K↓ —
- django-expertJeffallan/claude-skillsUse when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.InginerieFără avertismente★ 12,1 K↓ —
- websocket-engineerJeffallan/claude-skillsUse when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.AlteleFără avertismente★ 12,1 K↓ —
- observability-llm-obselastic/agent-skillsAnswer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, token spend or AI cost, model latency, prompt or guardrail failures, or how an agent's tool-call chain executed.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- legacy-modernizerJeffallan/claude-skillsDesigns incremental migration strategies, identifies service boundaries, produces dependency maps and migration roadmaps, and generates API facade designs for aging codebases. Use when modernizing legacy systems, implementing strangler fig pattern or branch by abstraction, decomposing monoliths, upgrading frameworks or languages, or reducing technical debt without disrupting business operations.InginerieFără avertismente★ 12,1 K↓ —
kubernetes-specialist
Jeffallan/claude-skills
DevOpsActualizat alaltăieri
De la autor
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
Instalare
npx skills add Jeffallan/claude-skills --skill kubernetes-specialist -a claude-code
Se instalează în .claude/skills/kubernetes-specialist/ · 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 92
Securitate100
Proveniență89
Întreținere100
Licență100
Adopție64
Fișiere (12)
- SKILL.md
- references/configuration.md
- references/cost-optimization.md
- references/custom-operators.md
- references/gitops.md
- references/helm-charts.md
- references/multi-cluster.md
- references/networking.md
- references/service-mesh.md
- references/storage.md
- references/troubleshooting.md
- references/workloads.md