Claude Skills

Frameworks for technical interviews and salary negotiation. Use for behavioral interview prep (STAR method), technical interview communication, offer evaluation, and compensation negotiation strategies.

Building promotion cases, brag documents, tracking wins, and self-advocacy for career advancement. Use when preparing for promotions, documenting accomplishments, or building your case for advancement.

Author and validate AsyncAPI 3.0 specifications for event-driven API design, message brokers, and async communication patterns

Canonical specification format reference. Use when understanding the canonical spec schema, field requirements, provider-agnostic specification structure, or validating specifications against the schema.

Design and manage API contracts before implementation using OpenAPI and AsyncAPI specifications for contract-first development

Central authority for specification-driven development. Use when working with requirements, specifications, acceptance criteria, or any spec-driven workflow. Provides navigation to specialized skills and delegates to docs-management for official documentation.

GitHub Spec Kit 5-phase workflow. Use when following the Constitution → Specify → Plan → Tasks → Implement cycle. Provides phase guidance, file templates, and workflow orchestration.

Use when implementing distributed tracing, understanding trace propagation, or debugging cross-service issues. Covers OpenTelemetry, span context, and trace correlation.

Use when designing edge computing architectures, serverless at edge, or distributed compute strategies. Covers edge functions, compute placement decisions, Cloudflare Workers, Lambda@Edge, and edge-native patterns.

Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.

Use when planning GameDay exercises, designing failure scenarios, or conducting chaos drills. Covers GameDay preparation, execution, and follow-up.

Use when designing idempotent APIs, handling retries safely, or preventing duplicate operations. Covers idempotency keys, at-most-once semantics, and duplicate prevention.

Use when designing incident management processes, creating runbooks, or establishing on-call practices. Covers incident lifecycle, communication, and postmortems.

Use when designing Internal Developer Platforms (IDPs), building platform teams, or improving developer experience. Covers platform engineering principles, Backstage, portal design, and platform team structures.

Use when implementing observability strategy, correlating signals, or designing monitoring systems. Covers the three pillars (logs, metrics, traces) and their integration.

Use when defining SLOs, selecting SLIs, or implementing error budget policies. Covers reliability targets, SLI selection, and error budget management.

Use when designing real-time data processing systems, choosing stream processing frameworks, or implementing event-driven architectures. Covers Kafka, Flink, and streaming patterns.

Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.

Use when designing security architectures, implementing zero trust principles, or evaluating security posture. Covers never trust always verify, microsegmentation, identity-based access, and ZTNA patterns.

Guide creation of AI Developer Workflows (ADWs) that combine deterministic orchestration code with non-deterministic agents. Use when building automated development pipelines, designing AFK agent systems, or implementing the PITER framework.

Assess organizational doctrine and universally useful patterns

Analyze component evolution and movement patterns

Design gateway scripts as entry points for agentic coding. Use when creating CLI entry points for agents, designing subprocess-based agent invocation, or building script interfaces for agentic workflows.

Set up Git worktrees for agent parallelization with isolated environments. Use when setting up parallel agent execution, creating isolated environments per agent, or enabling concurrent development workflows.