Browse Skills

22656 skills found

exa-answer.md
2
1 export exa-answer
2 benjaminjackson from "benjaminjackson/exa-skills"
3 Generate answers to questions with structured output using AI search and synthesis. Use when you need factual answers with citations from web sources, or when you want to extract specific structured information in response to a query.
2026-01-05
error-boundary.md
2
1 export error-boundary
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 ReactのError Boundary実装とエラーハンドリング戦略を専門とするスキル。堅牢なエラー処理とユーザーフレンドリーなフォールバックUIを実現する。Anchors:• The Pragmatic Programmer / 適用: エラー処理の実践原則 / 目的: 品質維持と堅牢性向上• React Error Boundary / 適用: クラッシュ回復UI実装 / 目的: 予期しない障害対応Trigger:Use when implementing error boundaries, creating crash recovery UI, designing async error handling, or setting up error monitoring.error boundary, componentDidCatch, getDerivedStateFromError, fallback UI, error reporting
2026-01-05
prompt-engineer.md
2
1 export prompt-engineer
2 MH4GF from "MH4GF/dotfiles"
3 MUST use when editing CLAUDE.md, SKILL.md, or slash commands. Applies prompt engineering best practices regardless of task size.
2026-01-05
providing-performance-optimization-advice.md
2
1 export providing-performance-optimization-advice
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
2026-01-05
creating-kubernetes-deployments.md
2
1 export creating-kubernetes-deployments
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill enables Claude to generate Kubernetes deployment manifests, services, and related configurations following best practices. It should be used when the user asks to create a new Kubernetes deployment, service, ingress, or other related resources. Claude will generate YAML files for Deployments, Services, ConfigMaps, Secrets, Ingress, and Horizontal Pod Autoscalers. Use this skill when the user mentions "Kubernetes deployment", "K8s deployment", "create service", "define ingress", or asks for a manifest for any K8s resource.
2026-01-05
agent-deployment-pipeline.md
2
1 export agent-deployment-pipeline
2 raphaelmansuy from "raphaelmansuy/k8s-agent-stack"
3 Implement CI/CD pipelines for AI agent deployment with evaluation gates. Use for GitHub Actions workflows, GitOps with ArgoCD, container image building, and automated testing. Triggers on "CI/CD", "pipeline", "GitHub Actions", "GitOps", "ArgoCD", "deployment automation", "continuous deployment", or when implementing safe agent release workflows.
2026-01-05
officeemail-management.md
2
1 export officeemail-management
2 harperreed from "harperreed/office-admin-claude"
3 Handle email tasks (checking inbox, drafting replies, managing threads, adding events to calendar). Use when working with emails to prevent common mistakes like broken threading or missing recipients.
2026-01-05
agent-skills.md
2
1 export agent-skills
2 third774 from "third774/dotfiles"
3 Author and improve Agent Skills following the agentskills.io specification. Use when creating new SKILL.md files, modifying existing skills, reviewing skill quality, or organizing skill directories with proper naming, descriptions, and progressive disclosure.
2026-01-05
limacharlie-call.md
2
1 export limacharlie-call
2 refractionPOINT from "refractionPOINT/documentation"
3 **REQUIRED for ALL LimaCharlie operations** - list orgs, sensors, rules, detections, queries, and 120+ functions. NEVER call LimaCharlie MCP tools directly. Use cases: 'what orgs do I have', 'list sensors', 'search IOCs', 'run LCQL query', 'create detection rule'. This skill loads function docs and delegates to sub-agent.
2026-01-05
tracking-application-response-times.md
2
1 export tracking-application-response-times
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill enables Claude to track and optimize application response times. It uses the response-time-tracker plugin to monitor API endpoints, database queries, external service calls, frontend rendering, and background job execution. The plugin calculates P50, P95, and P99 percentiles, average and maximum response times. Use this skill when you need to identify performance bottlenecks, monitor SLOs, or receive alerts about performance degradation. Trigger this skill with phrases like "track response times", "optimize latency", or "monitor application performance".
2026-01-05
analyzing-text-with-nlp.md
2
1 export analyzing-text-with-nlp
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill enables Claude to perform natural language processing and text analysis using the nlp-text-analyzer plugin. It should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or other NLP tasks. The skill is triggered by requests involving "analyze text", "sentiment analysis", "keyword extraction", "topic modeling", or similar phrases related to text processing. It leverages AI/ML techniques to understand and extract insights from textual data.
2026-01-05
deploying-monitoring-stacks.md
2
1 export deploying-monitoring-stacks
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.
2026-01-05
workflow-router.md
2
1 export workflow-router
2 mehdic from "mehdic/bazinga"
3 Determine next agent based on state machine rules. Use AFTER receiving any BAZINGA agent response to decide what to do next.
2026-01-05
generating-test-reports.md
2
1 export generating-test-reports
2 jeremylongshore from "jeremylongshore/claude-code-plugins-nixtla"
3 This skill generates comprehensive test reports with coverage metrics, trends, and stakeholder-friendly formats (HTML, PDF, JSON). It aggregates test results from various frameworks, calculates key metrics (coverage, pass rate, duration), and performs trend analysis. Use this skill when the user requests a test report, coverage analysis, failure analysis, or historical comparisons of test runs. Trigger terms include "test report", "coverage report", "testing trends", "failure analysis", and "historical test data".
2026-01-05
railway-turso-management.md
2
1 export railway-turso-management
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 Railway環境でのTursoデータベース管理を専門とするスキル。環境グループ設計、Variables vs Secrets分類、Turso統合設定、Railway CLI活用、一時ファイルセキュリティの実装パターンを提供。Anchors:• 『The Pragmatic Programmer』(Hunt/Thomas)/ 適用: 設定管理・自動化 / 目的: 実践的な環境構築• 12-Factor App / 適用: 環境変数設計 / 目的: 設定と認証情報の分離• Railway公式ドキュメント / 適用: サービス設定 / 目的: プラットフォーム固有の最適化Trigger:Use when setting up Railway project secrets, configuring environment groups, integrating Turso database, using Railway CLI for local development, or securing log output.railway, turso, database, secrets, variables, environment, cli, libsql
2026-01-05
github-actions-syntax.md
2
1 export github-actions-syntax
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 GitHub Actionsワークフローの構文とイベントトリガー、ジョブ定義、ステップ実行、パーミッション管理、環境変数設定について実装指針を提供する。CI/CDパイプラインの構築と管理を支援。Anchors:• GitHub Actions Workflow Syntax / 適用: ワークフロー構造設計 / 目的: 公式構文に準拠した実装• YAML 1.2 Specification / 適用: 構文検証・パース / 目的: 正確なYAML記述• 12-Factor App (Config) / 適用: 環境変数設計 / 目的: 環境非依存の設定管理Trigger:Use when creating or editing GitHub Actions workflow files, troubleshooting syntax errors, configuring event triggers, setting up job dependencies and matrix strategies, or managing permissions and environment variables.github actions, workflow syntax, yaml, event trigger, jobs, steps, permissions, environment variables
2026-01-05
hic-normalization.md
2
1 export hic-normalization
2 BIsnake2001 from "BIsnake2001/ChromSkills"
3 Automatically detect and normalize Hi-C data. Only .cool or .mcool file is supported. All .mcool files are then checked for existing normalization (supports bins/weight only) and balanced if none of the normalizations exist.
2026-01-05
conversation-analyzer.md
2
1 export conversation-analyzer
2 hirefrank from "hirefrank/hirefrank-marketplace"
3 Analyzes AI conversation exports to identify recurring patterns and generate custom Claude Skills. Use when analyzing conversation data, identifying workflow patterns, or creating reusable AI skills from usage history.
2026-01-05
llm-gateway-routing.md
2
1 export llm-gateway-routing
2 phrazzld from "phrazzld/claude-config"
3 LLM gateway and routing configuration using OpenRouter and LiteLLM.Invoke when:- Setting up multi-model access (OpenRouter, LiteLLM)- Configuring model fallbacks and reliability- Implementing cost-based or latency-based routing- A/B testing different models- Self-hosting an LLM proxyKeywords: openrouter, litellm, llm gateway, model routing, fallback, A/B testing
2026-01-05
chain-of-thought.md
2
1 export chain-of-thought
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 複雑な問題を分解し、推論の流れを整理して短い根拠サマリーを作成するスキル。前提整理、論点分解、選択肢比較、判断理由の要約を通じて、説明責任のあるアウトプットを作る。Anchors:• The Pragmatic Programmer / 適用: 問題分解 / 目的: 実践的な整理• Thinking, Fast and Slow / 適用: 判断バイアス確認 / 目的: 判断根拠の明確化• Critical Thinking / 適用: 論点整理 / 目的: 根拠の一貫性Trigger:Use when structuring reasoning, summarizing decision rationale, clarifying assumptions, or documenting a step-by-step analysis.
2026-01-05
data-transformation.md
2
1 export data-transformation
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 データ変換パイプラインの設計・実装・検証を整理するスキル。スキーママッピング、ETL設計、品質確認までの実務フローを提供する。Anchors:• Designing Data-Intensive Applications / 適用: データモデリング / 目的: 変換の整合性確保• Designing Data-Intensive Applications / 適用: スキーマ設計 / 目的: マッピングの明確化• Designing Data-Intensive Applications / 適用: パイプライン設計 / 目的: 伸縮性と監視性の確保Trigger:Use when designing data transformation pipelines, defining schema mappings, implementing ETL processes, or optimizing data flows.data transformation, schema mapping, etl design, pipeline optimization, data modeling
2026-01-05
koan-vector-migration.md
2
1 export koan-vector-migration
2 sylin-org from "sylin-org/koan-framework"
3 Vector export/import, embedding caching, provider migration
2026-01-05
example-usage-patterns.md
2
1 export example-usage-patterns
2 daishiman from "daishiman/AIWorkflowOrchestrator"
3 Documentation patterns for creating clear, executable, and maintainable usage examples across APIs, CLIs, libraries, and frameworks.Anchors:• Docs for Developers (Jared Bhatti et al.) / 適用: 実践的な例示パターン / 目的: 開発者に即座に理解・実行可能な例を提供• The Documentation System (Diataxis) / 適用: チュートリアル・ハウツー・リファレンス分類 / 目的: 目的に応じた例の種類と粒度を選択• Clean Code (Robert C. Martin) / 適用: 明確な命名・単一責務 / 目的: 自己説明的なサンプルコードTrigger:Use when creating code examples, writing tutorials, documenting API usage, building sample projects, establishing example conventions, or standardizing example patterns across a codebase.example creation, tutorial writing, API documentation, sample code, documentation patterns
2026-01-05
go-sync-primitives.md
2
1 export go-sync-primitives
2 JamesPrial from "JamesPrial/claudefiles"
3 sync.WaitGroup and sync.Mutex patterns
2026-01-05