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 7 ore
45.602 skill-uri
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.InginerieFără avertismente★ 48,5 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★ 41,7 K↓ —
- rust-async-patternswshobson/agentsMaster Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.InginerieFără avertismente★ 41,7 K↓ —
- parallel-feature-developmentwshobson/agentsCoordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.DesignFără avertismente★ 41,7 K↓ —
- bigquery-troubleshootinggoogle/skillsProvides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).OficialDateFără avertismente★ 21,6 K↓ —
- spanner-basicsgoogle/skillsAssists in provisioning instances and databases, designing performant schemas, and querying data in Cloud Spanner on Google Cloud. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.OficialDateFără avertismente★ 21,6 K↓ —
- github-actions-templateswshobson/agentsCreate production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.DevOpsFără avertismente★ 41,7 K↓ —
- data-quality-frameworkswshobson/agentsImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.TestareFără avertismente★ 41,7 K↓ —
- polars-bioK-Dense-AI/scientific-agent-skillsPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.DateFără avertismente★ 54,5 K↓ —
- bigquery-basicsgoogle/skillsManages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.OficialDateFără avertismente★ 21,6 K↓ —
- gke-ai-troubleshooting-handle-disruption-gpu-tpugoogle/skillsDiagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.OficialDevOpsFără avertismente★ 21,6 K↓ —
- async-python-patternswshobson/agentsMaster Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.InginerieFără avertismente★ 41,7 K↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.InginerieFără avertismente★ 48,5 K↓ —
- kaizensickn33/agentic-awesome-skillsGuide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.InginerieFără avertismente★ 48,5 K↓ —
- nature-experiment-logYuan1z0825/nature-skills标准化实验日志记录——直接上传或读取本地图片、语音和文字，产出带 YAML frontmatter 的 Markdown；可选集成飞书 CLI 与 Obsidian。InginerieFără avertismente★ 50,5 K↓ —
- loootsickn33/agentic-awesome-skillsSearch, price and run 2,500+ data API endpoints (work emails, company search, SERP, web pages) from one prepaid balance via the looot MCP server.InginerieFără avertismente★ 48,5 K↓ —
- java-debugginggithub/awesome-copilotDebug Java applications systematically: JDWP remote debugging, jdb, VS Code and IntelliJ attach, debugging Maven/Gradle tests, Spring Boot and Quarkus dev mode, containers, breakpoints/logpoints, and reading stack traces. Use when the user needs to find the cause of a Java bug, exception, wrong behavior, or failing test, or asks how to attach a debugger.InginerieFără avertismente★ 40,4 K↓ —
- cloud-logging-configuration-basicsgoogle/skillsConfigure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.OficialAlteleFără avertismente★ 21,6 K↓ —
- mcp-release-qagithub/awesome-copilotVerify an MCP server before release by exercising a real protocol session, comparing runtime capabilities with source and documentation, testing failure paths, and recording reproducible evidence. Use when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path.TestareFără avertismente★ 40,4 K↓ —
- ml-pipeline-workflowwshobson/agentsBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.ProductivitateFără avertismente★ 41,7 K↓ —
- recipe-generate-report-from-sheetgoogleworkspace/cliRead data from a Google Sheet and create a formatted Google Docs report.AlteleFără avertismente★ 31,9 K↓ —
- recipe-schedule-recurring-eventgoogleworkspace/cliCreate a recurring Google Calendar event with attendees.ProductivitateFără avertismente★ 31,9 K↓ —
- gws-modelarmor-sanitize-responsegoogleworkspace/cliGoogle Model Armor: Sanitize a model response through a Model Armor template.AlteleFără avertismente★ 31,9 K↓ —
- self-hosted-companiontopoteretes/cogneeChat with a companion that knows your notes folder (a journal, an Obsidian vault, any .md or .txt files) and every earlier chat, using cognee memory with local databases. Use when someone wants to ask questions about their own notes, or to talk with a companion that remembers past conversations. Runs locally; reads the notes folder, writes only to cognee's memory.RedactareFără avertismente★ 32,7 K↓ —
aws-cdk-python-setup
github/awesome-copilot
DevOpsActualizat alaltăieri
De la autor
Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
Instalare
npx skills add github/awesome-copilot --skill aws-cdk-python-setup -a claude-code
Se instalează în .claude/skills/aws-cdk-python-setup/ · 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
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Întreținere100
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- SKILL.md