Software Engineering Bundle
18 skills for code review, architecture, testing, refactoring, debugging, and more. Plus 5 prompts and a CLAUDE.md preset that wires them into a coordinated system.
18
Skills
5
Prompts
1
Preset
0
Mini-Course
Included Skills
Reviews AI/LLM integration code for correctness, cost efficiency, safety, and production readiness.
Designs REST and GraphQL APIs with consistent schemas, clear naming, versioning strategy, and error contracts.
Guides system design decisions with trade-off analysis, diagrams, and technology selection rationale.
Systematically identifies bugs through root cause analysis, hypothesis testing, and structured debugging workflows.
Helps create new Claude Code skills with proper SKILL.md structure, frontmatter, instructions, and slash command configuration.
Explains unfamiliar code in plain language, tracing logic flow, patterns, and intent line by line or at a high level.
Performs deep, opinionated code reviews with actionable feedback organized by severity.
Audits project dependencies for vulnerabilities, bloat, outdated packages, and better alternatives.
Designs error handling strategies with proper error types, recovery paths, and user-facing messages.
Advises on branching strategies, merge vs rebase, monorepo conventions, and Git workflow best practices.
Designs input and output guardrails for AI systems including content filters, output validators, and safety boundaries.
Designs and builds Model Context Protocol servers that expose tools, resources, and prompts to AI assistants.
Identifies performance bottlenecks in code and proposes targeted optimizations with measurable impact.
Generates clear PR titles, descriptions, and changelogs from diffs, commits, and context.
Designs retrieval-augmented generation architectures with chunking strategies, embedding selection, retrieval tuning, and reranking pipelines.
Identifies refactoring opportunities with safe, incremental transforms that preserve behavior.
Generates comprehensive unit, integration, and e2e tests with meaningful assertions and edge case coverage.
Reduces LLM token usage while preserving output quality through prompt compression, context management, and model selection.
Powerful Prompts
API Endpoint Design prompt
Architecture Decision Record prompt
Bug Report prompt
Code Review Request prompt
Technical Spec prompt
Preset Configuration
Drop-in CLAUDE.md for general software projects — code style enforcement, test-before-merge rules, PR conventions, and integrated skill coordination.
# A pre-configured development environment tuned to 15 rules,
# optimized for this bundle's workflow.
CLAUDE.md · Auto-installed via CLI
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