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Development

Performs a rigorous architectural code review including ADR compliance, test coverage, architectural patterns, and security analysis. Outputs a structured review document with APPROVED/REDIRECT/BLOCKED status. Helpful for ensuring changes align with architectural decisions and quality standards.

Development

Install the official Obelisk CLI and then install the Obelisk agent skill. Use for initial setup or repair when the 'obelisk' command is missing.

Development

Strategic DDD guide for splitting the domain into bounded contexts, defining ubiquitous language, and creating business modules. Tactical patterns follow Clean Architecture.

Development

Retrieves comprehensive context about GitHub Pull Requests including metadata, file changes, and code diffs. This helps understand PR scope and changes before reviewing, plan subagent task delegation based on changed files, and check merge readiness such as merge conflicts and CI state.

Development

Turn a plain-English request into a bounded JARVIS work packet (intent, risk, owner gates, allowed files, verification, rollback) without executing anything.

Security

This skill covers implementing Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use it to enforce network segmentation, configure pod security standards, or set up least-privilege access controls.

Content

Generates timestamped show notes, key takeaways, and formatted transcripts from podcast episodes. Use for podcast summaries, timestamps, and repurposing content.

Testing

Automated assistance for testing keyboard navigation in frontend applications. Covers React, Vue, CSS, and accessibility.

Development

Implement rate limit handling, exponential backoff with retries, and idempotency for Perplexity API.

Content

Check markdown files for spelling errors, British English compliance, and writing quality before publication.

Data & AI

Design or audit empirical evaluations for ESEC/FSE, covering real subjects, fair baselines, SE statistics, mixed-methods rigor, and LLM contamination.

Data & AI

Guide to selecting and optimizing embedding models for vector search applications, including model comparison and code templates.