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.
45.605 skill-uri din 2.205 depozite · actualizat acum 8 minute
45.605 skill-uri
- kanban-boardnexu-io/html-anythingTo do / In progress / In review / Done 四列, 卡片 + 头像 + 泳道InginerieFără avertismente★ 9,2 K↓ —
- executing-plansjnMetaCode/superpowers-zh当你要在当前会话里亲自担任实现者执行一份实现计划时使用——你的人类伙伴选择了内联执行，或者没有可用的子智能体工具PlanificareFără avertismente★ 8,4 K↓ —
- chinese-documentationjnMetaCode/superpowers-zh中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。AlteleFără avertismente★ 8,4 K↓ —
- workflow-runnerjnMetaCode/superpowers-zh在 Claude Code / OpenClaw / Cursor 中直接运行 agency-orchestrator YAML 工作流——无需 API key，使用当前会话的 LLM 作为执行引擎。当用户提供 .yaml 工作流文件或要求多角色协作完成任务时触发。ProductivitateFără avertismente★ 8,4 K↓ —
- receiving-code-reviewjnMetaCode/superpowers-zh收到代码审查反馈后、实施建议之前使用，尤其当反馈不明确或技术上有疑问时——需要技术严谨性和验证，而非敷衍附和或盲目执行InginerieFără avertismente★ 8,4 K↓ —
- human-in-the-loopmvschwarz/openrigUse when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.AlteleFără avertismente★ 8,2 K↓ —Apare și în 1 alt depozit
- k12-check-for-understandinganthropics/k12-teacher-skillsCreates a Check for Understanding (CFU) for a math topic or standard: 1–3 targeted formative items whose distractors come from documented student misconceptions, plus a teacher guide routing each likely response to a specific next instructional step. Load BEFORE asking any clarifying question about grade, standard, or topic. This skill is for math; for other subjects, help as you normally would and don't mention the skill to the user. Triggers on asks to create, write, generate, or design a check for understanding, formative check, quick check, or exit ticket for a math concept or standard, and on implicit signals like "I need to see who got it before I move on." Not a quiz, test, or practice set — a CFU is read for what it reveals, not scored, so a numbered quiz or a bare answer key is a different job. Does not create a lesson (k12-lesson-plan-creation, which brings its own exit ticket), tier one (k12-lesson-differentiation), or prepare a teacher to teach one (k12-lesson-prep).OficialTestareFără avertismente★ 591↓ —
- elasticsearch-anomaly-detection-explainerelastic/agent-skillsExplain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.OficialAlteleFără avertismente★ 600↓ —Apare și în 1 alt depozit
- mcp-builderjnMetaCode/superpowers-zh在构建 MCP 服务器或 MCP 工具时使用 —— 系统化的生产级 MCP 构建方法论，覆盖工具设计、错误处理、传输层选择与测试，让 AI 助手连接外部能力AlteleFără avertismente★ 8,4 K↓ —
- elasticsearch-cluster-healthelastic/agent-skillsDiagnose a non-green Elasticsearch cluster and surface the single most likely cause with remediation. Use when an operator reports yellow or red status, unassigned shards, allocation failures, or wants read-only triage before deeper investigation. Teaches replica-vs-primary impact, allocation decider classification, and data-loss awareness.OficialFinanțeFără avertismente★ 600↓ —Apare și în 1 alt depozit
- working-with-dbt-meshdbt-labs/dbt-agent-skillsUse when changing a dbt model in a way that could break its consumers — renaming, removing, or retyping a column, or changing a model that downstream models, exposures, dashboards, or BI tools depend on — to judge whether the change is breaking and who it affects. Also use when versioning a model (model versions, latest_version, latest_version_pointer, deprecation_date, migration windows), enforcing contracts, setting access or groups, or doing multi-project dbt Mesh work (cross-project refs via dependencies.yml, disambiguating similarly-named models, splitting a monolith). Covers single- and multi-project, and planning or advising as well as implementing.OficialDateFără avertismente★ 746↓ —
- prototype-webnexu-io/html-anything可点击的功能性 Web 原型, 含导航、英雄区、特性区、CTAAlteleFără avertismente★ 9,2 K↓ —
- kibana-agent-builderelastic/agent-skillsCreate and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools already exist.OficialTestareFără avertismente★ 600↓ —Apare și în 1 alt depozit
- article-sketchnote-editorialnexu-io/html-anything把一个概念铸成杂志专题档案——真问题→失败→转折→顿悟→命名, 6 个 layout 模具 + 4 字族对比 + 探案档案细节RedactareFără avertismente★ 9,2 K↓ —
- hive.quality-monitoraden-hive/hivePeriodically self-assess output quality to catch degradation before the judge does.AlteleFără avertismente★ 11,1 K↓ —
- observability-k8s-investigationelastic/agent-skillsInvestigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.OficialDevOpsFără avertismente★ 600↓ —Apare și în 1 alt depozit
- 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↓ —
- go-testingGentleman-Programming/gentle-aiTrigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.TestareFără avertismente★ 8 K↓ —
- judgment-dayGentleman-Programming/gentle-aiTrigger: judgment day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.InginerieFără avertismente★ 8 K↓ —
- chained-prGentleman-Programming/gentle-aiTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.InginerieFără avertismente★ 8 K↓ —
- learntigerless-labs/autoharnessUse when users /learn, save, remember, or distill lessons.AlteleFără avertismente★ 10,7 K↓ —
- frame-macos-notificationnexu-io/html-anything拟真 macOS 通知 banner + app icon + 标题正文, 适合 video overlay / 产品发布预告MediaFără avertismente★ 9,2 K↓ —
- ip-as-logoanbeime/skillGenerate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition. Use when creating an animal, creature, robot, ghost, plant, object, or other character image, including when the agent should infer three product-relevant directions and propose six independent candidates for approval.MediaFără avertismente★ 8,6 K↓ —
- gentle-ai-collab-perfectGentleman-Programming/gentle-aiTrigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the contribution flow is in scope: opening an issue, drafting or editing a PR body, splitting a change into chained/stacked PRs, or auditing a PR before requesting review.RedactareFără avertismente★ 8 K↓ —
playwright-expert
Jeffallan/claude-skills
TestareActualizat acum 15 ore
De la autor
Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke to write test scripts, create page objects, configure test fixtures, set up reporters, add CI integration, implement API mocking, or perform visual regression testing. Trigger terms: Playwright, E2E test, end-to-end, browser testing, automation, UI testing, visual testing, Page Object Model, test flakiness.
Instalare
npx skills add Jeffallan/claude-skills --skill playwright-expert -a claude-code
Se instalează în .claude/skills/playwright-expert/ · 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
Niciun avertisment.
De ce 92
Securitate100
Proveniență89
Întreținere100
Licență100
Adopție64
Fișiere (6)
- SKILL.md
- references/api-mocking.md
- references/configuration.md
- references/debugging-flaky.md
- references/page-object-model.md
- references/selectors-locators.md