ancoleman

61 mods across 2 repositories, 525 stars between them.

ancoleman/ai-design-components

Skill Claude CodeCodex

Displays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces. Use when showing historical events, project schedules, social feeds, notifications, audit logs, or time-based data. Provides implementation patterns for vertical/horizontal timelines, interactive…

516 8mo ago A 75 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.

516 8mo ago A 49 tokens original MIT

evaluating-llms

27

ancoleman/ai-design-components

Skill Claude CodeCodex

Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.

516 8mo ago A 50 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building…

516 8mo ago A 70 tokens original MIT

guiding-users

29

ancoleman/ai-design-components

Skill Claude CodeCodex

Implements onboarding and help systems including product tours, interactive tutorials, tooltips, checklists, help panels, and progressive disclosure patterns. Use when building first-time experiences, feature discovery, guided walkthroughs, contextual help, setup flows, or user activation features. Provides timing…

516 8mo ago A 78 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for…

516 8mo ago A 127 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Implement and maintain compliance with SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping, policy-as-code enforcement, and automated evidence collection. Use when building systems requiring regulatory compliance, implementing security controls across multiple frameworks, or automating audit preparation.

516 8mo ago A 59 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Implements drag-and-drop and sortable interfaces with React/TypeScript including kanban boards, sortable lists, file uploads, and reorderable grids. Use when building interactive UIs requiring direct manipulation, spatial organization, or touch-friendly reordering.

516 8mo ago A 54 tokens original MIT

implementing-gitops

33

ancoleman/ai-design-components

Skill Claude CodeCodex

Implement GitOps continuous delivery for Kubernetes using ArgoCD or Flux. Use for automated deployments with Git as single source of truth, pull-based delivery, drift detection, multi-cluster management, and progressive rollouts.

516 8mo ago A 49 tokens original MIT

implementing-mlops

34

ancoleman/ai-design-components

Skill Claude CodeCodex

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and…

516 8mo ago A 108 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Implements navigation patterns and routing for both frontend (React/TS) and backend (Python) including menus, tabs, breadcrumbs, client-side routing, and server-side route configuration. Use when building navigation systems or setting up routing.

516 8mo ago A 50 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing…

516 8mo ago A 76 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer…

516 8mo ago A 104 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

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.

516 8mo ago A 57 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary…

516 8mo ago B 65 tokens original MIT

implementing-tls

40

ancoleman/ai-design-components

Skill Claude CodeCodex

Configure TLS certificates and encryption for secure communications. Use when setting up HTTPS, securing service-to-service connections, implementing mutual TLS (mTLS), or debugging certificate issues.

516 8mo ago B 38 tokens original MIT

ingesting-data

41

ancoleman/ai-design-components

Skill Claude CodeCodex

Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases. Use when importing CSV/JSON/Parquet files, pulling from S3/GCS buckets, consuming API feeds, or building ETL pipelines.

516 8mo ago A 53 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

When distributing traffic across multiple servers or regions, use this skill to select and configure the appropriate load balancing solution (L4/L7, cloud-managed, self-managed, or Kubernetes ingress) with proper health checks and session management.

516 8mo ago A 51 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Guide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotency patterns, secrets…

516 8mo ago A 79 tokens original MIT

managing-dns

44

ancoleman/ai-design-components

Skill Claude CodeCodex

Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).

516 8mo ago B 63 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Manage Git branching strategies, commit conventions, and collaboration workflows. Use when choosing between trunk-based development, GitHub Flow, or GitFlow, implementing conventional commits for automated versioning, setting up Git hooks for quality gates, or organizing monorepos with clear ownership.

516 8mo ago A 60 tokens original MIT

managing-incidents

46

ancoleman/ai-design-components

Skill Claude CodeCodex

Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols. Use when setting up incident processes, designing escalation policies, or conducting post-mortems.

516 8mo ago A 54 tokens original MIT

managing-media

47

ancoleman/ai-design-components

Skill Claude CodeCodex

Implements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies…

516 8mo ago A 88 tokens original MIT

ancoleman/ai-design-components

Skill Claude CodeCodex

Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.

516 8mo ago A 60 tokens original MIT