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.
45.604 skill-uri din 2.205 depozite · actualizat acum 10 ore
45.602 skill-uri
- hunt-miscsickn33/agentic-awesome-skillsHunting skill for misc vulnerabilities. Reference for authorized role, token and workflow-boundary reviews. Historical source count is not independently verified.SecuritateFără avertismente★ 48,5 K↓ —
- google-cloud-waf-cost-optimizationgoogle/skillsEvaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar. Use when the user asks to analyze Google Cloud spend, reduce cloud bills, rightsize resources (for example, Compute, GKE, Storage, Databases), evaluate discount options (for example, CUDs, SUDs, Spot VMs), or eliminate idle capacity. Do not use for standalone product pricing lookups or non-cost architecture design.OficialDesignFără avertismente★ 21,6 K↓ —
- learnsickn33/agentic-awesome-skillsHelp a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.PlanificareFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- gke-ai-troubleshooting-tpu-mxla-hanggoogle/skillsDiagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/container/multislice/*`). Distinguishes XLA compiler/HLO launch divergence and host data-input stalls from TPU chip, SparseCore, ICI, or network fabric faults. Use when multi-slice TPU training jobs freeze without progressing steps, emit `HANG_DETECTED`, or stall in collective operations. Don't use for gradual step-time throughput drops without hangs (use gke-ai-troubleshooting-tpu-performance-degradation) or pod preemption/eviction restarts (use gke-ai-troubleshooting-jobset-interruption).OficialDevOpsFără avertismente★ 21,6 K↓ —
- power-platform-architectgithub/awesome-copilotUse this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.PlanificareFără avertismente★ 40,4 K↓ —
- loopysickn33/agentic-awesome-skillsDiscover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication.AlteleFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- retrieving-developer-knowledgegoogle/skillsSearches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation.OficialBrowserFără avertismente★ 21,6 K↓ —Apare și în 1 alt depozit
- cloud-monitoring-list-time-series-requestgoogle/skillsGenerates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.OficialPlanificareFără avertismente★ 21,6 K↓ —
- tmuxsickn33/agentic-awesome-skillsExpert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.AlteleFără avertismente★ 48,5 K↓ —
- google-cloud-filestore-autoscalegoogle/skillsInspects Filestore capacity and utilization on Google Cloud, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds (custom thresholds apply globally across projects in session memory), or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.OficialMarketingFără avertismente★ 21,6 K↓ —
- cloud-run-alert-configurationgoogle/skillsConfigures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.OficialDevOpsFără avertismente★ 21,6 K↓ —
- gke-workload-scaling-troubleshootinggoogle/skillsDiagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown>, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests, custom/external metrics-pipeline breakage (FailedGetExternalMetric / FailedGetCustomMetric, unavailable metrics adapter, control-plane firewall blocking the adapter), HPA that won't scale up or down (tolerance / stabilization window / unavailable rate metrics), scale-to/from-zero problems, and slow HPA reaction on large clusters. Use when an HPA isn't scaling a workload as expected or reports metric errors. Don't use for configuring or authoring new HPA/VPA objects or scaling best practices (see the gke-workload-scaling skill), or for Cluster Autoscaler / node-pool sizing.OficialPlanificareFără avertismente★ 21,6 K↓ —
- revopssickn33/agentic-awesome-skillsDesign and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.DesignFără avertismente★ 48,5 K↓ —
- aws-vpcsickn33/agentic-awesome-skillsDesign and implement VPCs and networking. Configure subnets, route tables, and security groups. Use when setting up AWS network infrastructure.DevOpsFără avertismente★ 48,5 K↓ —
- simplify-codebasett-a1i/archifySimplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning.DesignFără avertismente★ 89 K↓ —
- selectorNousickn33/agentic-awesome-skillsSelect a specialized 100seotools skill from a plain-language SEO or project-documentation request. Use when the user needs help choosing the appropriate workflow.MarketingFără avertismente★ 48,5 K↓ —
- test-valuett-a1i/archifyImprove test value and feedback cost when auditing slow, flaky, redundant or brittle tests; choosing tests during implementation; or reviewing test changes before a commit or PR. Keep ordinary implementation and pre-commit use scoped to the affected behavior, not a repository-wide audit.TestareFără avertismente★ 89 K↓ —
- dataladK-Dense-AI/scientific-agent-skillsRetrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.ȘtiințăFără avertismente★ 54,5 K↓ —Apare și în 1 alt depozit
- pi-agentK-Dense-AI/scientific-agent-skillsBuilds with and operates Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings/environment variables, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, running local models through the llama.cpp router, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding).MediaFără avertismente★ 54,5 K↓ —Apare și în 1 alt depozit
- hunt-ldapsickn33/agentic-awesome-skillsHunt LDAP Injection and XPath InjectionAlteleFără avertismente★ 48,5 K↓ —
- penpot-uiux-designgithub/awesome-copilotComprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".DesignFără avertismente★ 40,4 K↓ —
- cloud-monitoring-metric-selectiongoogle/skillsRetrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.OficialDevOpsFără avertismente★ 21,6 K↓ —
- mmx-clisickn33/agentic-awesome-skillsUse mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.InginerieFără avertismente★ 48,5 K↓ —
- agent-architecturegithub/awesome-copilotDesign AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.PlanificareFără avertismente★ 40,4 K↓ —
ads
coreyhaines31/marketingskills
MarketingActualizat acum 3 zile
De la autor
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based marketing,' 'B2B ads,' 'lead quality,' 'negative keywords,' 'Performance Max,' 'thought leader ads,' 'when should I kill an ad,' 'search terms report,' 'wasted spend,' or 'is this campaign working.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro. For outbound to target accounts, see cold-email. For pixels, CAPI, and tracking audits, see conversion-tracking. End every recommendation with facts, hypotheses, and missing data, and label unavailable inputs MISSING instead of estimating them.
Instalare
npx skills add coreyhaines31/marketingskills --skill ads -a claude-code
Se instalează în .claude/skills/ads/ · 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 (18)
- SKILL.md
- evals/evals.json
- references/abm-playbook.md
- references/ad-copy-templates.md
- references/audience-targeting.md
- references/audit-guardrails.md
- references/b2b-paid-playbook.md
- references/creative-research-automation.md
- references/google-ads-audit-checklist.md
- references/google-search-playbook.md
- references/linkedin-b2b-playbook.md
- references/meta-andromeda-playbook.md
- încă 6