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
- semantic-kernelgithub/awesome-copilotCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.PlanificareFără avertismente★ 40,4 K↓ —
- cloud-logging-query-generationgoogle/skillsGenerates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.OficialDateFără avertismente★ 21,6 K↓ —
- google-cloud-waf-sustainabilitygoogle/skillsProvides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks to assess, design, or optimize Google Cloud workloads for sustainability—including the shared responsibility model, selecting low-carbon regions (CFE%), reducing resource and AI/ML energy waste, designing efficient software and storage lifecycles, or measuring and tracking emissions using Google Cloud Carbon Footprint. Don't use for financial cost reduction (use google-cloud-waf-cost-optimization), latency and throughput tuning (use google-cloud-waf-performance-optimization), or high availability and disaster recovery (use google-cloud-waf-reliability).OficialDesignFără avertismente★ 21,6 K↓ —
- breakdown-epic-pmgithub/awesome-copilotPrompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.PlanificareFără avertismente★ 40,4 K↓ —
- jenkinssickn33/agentic-awesome-skillsCreate and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds.DevOpsFără avertismente★ 48,5 K↓ —
- powerbi-modelinggithub/awesome-copilotPower BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.DesignFără avertismente★ 40,4 K↓ —
- aws-ec2sickn33/agentic-awesome-skillsManage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.DevOpsFără avertismente★ 48,5 K↓ —
- pyzoteroK-Dense-AI/scientific-agent-skillsManages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API. Applies when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.DocumenteFără avertismente★ 54,5 K↓ —Apare și în 1 alt depozit
- desk-opengithub/awesome-copilotCreate and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.AlteleFără avertismente★ 40,4 K↓ —
- graphqlsickn33/agentic-awesome-skillsGraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server.AlteleFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- managed-airflow-dag-authoringgoogle/skillsProvides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.OficialInginerieFără avertismente★ 21,6 K↓ —
- data-manager-api-event-ingestiongoogle/skillsGuides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).OficialInginerieFără avertismente★ 21,6 K↓ —
- pricingsickn33/agentic-awesome-skillsWhen the user wants help with pricing decisions, packaging, or monetization strategy.AlteleFără avertismente★ 48,5 K↓ —
- scientific-critical-thinkingK-Dense-AI/scientific-agent-skillsEvaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.ȘtiințăFără avertismente★ 54,5 K↓ —
- jqsickn33/agentic-awesome-skillsExpert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.AlteleFără avertismente★ 48,5 K↓ —
- speedsickn33/agentic-awesome-skillsLaunch RSVP speed reader for textAlteleFără avertismente★ 48,5 K↓ —
- first-askgithub/awesome-copilotInteractive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.ProductivitateFără avertismente★ 40,4 K↓ —
- folklore-variant-evidenceK-Dense-AI/scientific-agent-skillsRetrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.ȘtiințăFără avertismente★ 54,5 K↓ —
- acreadiness-policygithub/awesome-copilotHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.RedactareFără 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★ 48,5 K↓ —Apare și în 1 alt depozit
- ui-a11ysickn33/agentic-awesome-skillsAudit a component or page for accessibility issues and fix themDesignFără avertismente★ 48,5 K↓ —
- agent-platform-model-registrygoogle/skillsAgent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.OficialDevOpsFără avertismente★ 21,6 K↓ —
- 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
- google-cloud-storage-basicsgoogle/skillsStores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).OficialDevOpsFără avertismente★ 21,6 K↓ —
paperclip
K-Dense-AI/scientific-agent-skills
DateActualizat acum 7 zile
De la autor
Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests literature retrieval and evidence extraction through Paperclip.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill paperclip -a claude-code
Se instalează în .claude/skills/paperclip/ · 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
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De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (7)
- SKILL.md
- references/cli-reference.md
- references/installation.md
- references/map-reduce.md
- references/python-sdk.md
- references/repos-and-workspace.md
- references/search-and-retrieval.md