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Topic: claude

14,433 skills in this topic.

configuring-nginx Configure nginx for static sites, reverse proxying, load balancing, SSL/TLS termination, caching, and performance tuning. When setting up web servers, application proxies, or load balancers, this skill provides production-ready patterns with modern security best practices for TLS 1.3, rate limiting, and security headers.
ancoleman/ai-design-components 333
designing-apis Design APIs that are secure, scalable, and maintainable using RESTful, GraphQL, and event-driven patterns. Use when designing new APIs, evolving existing APIs, or establishing API standards for teams.
ancoleman/ai-design-components 333
deploying-on-gcp Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.
ancoleman/ai-design-components 333
designing-sdks Design production-ready SDKs with retry logic, error handling, pagination, and multi-language support. Use when building client libraries for APIs or creating developer-facing SDK interfaces.
ancoleman/ai-design-components 333
designing-layouts Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints. Use when structuring app layouts, building responsive designs, or creating complex page structures.
ancoleman/ai-design-components 333
administering-linux Manage Linux systems covering systemd services, process management, filesystems, networking, performance tuning, and troubleshooting. Use when deploying applications, optimizing server performance, diagnosing production issues, or managing users and security on Linux servers.
ancoleman/ai-design-components 333
implementing-search-filter Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.
ancoleman/ai-design-components 333
ai-data-engineering Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
ancoleman/ai-design-components 333
siem-logging Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance. Use when implementing centralized security logging, writing detection rules, or meeting audit requirements across cloud and on-premise infrastructure.
ancoleman/ai-design-components 333
shell-scripting Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
ancoleman/ai-design-components 333
close-issue Close a GitHub or GitLab issue with a summary comment
desplega-ai/agent-swarm 335
review-offered-task Review a task that has been offered to you and decide whether to accept or reject it
desplega-ai/agent-swarm 335
swarm-chat Effective communication within the agent swarm using internal Slack
desplega-ai/agent-swarm 335
start-leader Start the Agent Swarm Leader
desplega-ai/agent-swarm 335
start-worker Start an Agent Swarm Worker
desplega-ai/agent-swarm 335
swarm-local-e2e Guide for running local E2E tests with API server, Docker lead/worker containers, task creation, log verification, UI dashboard, and cleanup
desplega-ai/agent-swarm 335
work-on-task Work on a specific task assigned to you in the agent swarm
desplega-ai/agent-swarm 335
user-management How to manage the user registry — creating users for new Slack/GitHub/GitLab identities, managing aliases, resolving users across platforms. Use when a new human interacts with the swarm or when user identity needs updating.
desplega-ai/agent-swarm 335
todos Handle the agent personal todos.md file
desplega-ai/agent-swarm 335
implement-issue Implement a GitHub issue or GitLab issue and create a PR/MR
desplega-ai/agent-swarm 335
create-pr Create a pull request (GitHub) or merge request (GitLab) from the current branch
desplega-ai/agent-swarm 335
respond-github Respond to a GitHub issue/PR or GitLab issue/MR
desplega-ai/agent-swarm 335
review-pr Review a pull request (GitHub) or merge request (GitLab) and provide detailed feedback
desplega-ai/agent-swarm 335
investigate-sentry-issue Investigate and triage a Sentry error issue
desplega-ai/agent-swarm 335