Agent skills for Claude Desktop

Generate OpenShift enhancement proposal markdown from Jira epic or feature content

Generate or edit images through Google's Gemini image API using environment-provided credentials, explicit output paths, and reproducible…

Generate realistic mock/seed data for PostgreSQL/Prisma models.

Generate comprehensive PR descriptions following repository templates

Create optimized project-context.md for AI agent consistency.

Use when creating or updating module question imports for Blackboard from Course/Modules/* content and requiring auto-gradable…

Generates draft requirements from Simulink models.

Generates robustness check code and formats results as a combined table.

Generate a customized precommit runner for any ecosystem.

Generate comprehensive technical stack documentation from codebase analysis

Optimizes brand entity authority, citation frequency, and factual accuracy within Large Language Models (LLMs) including OpenAI ChatGPT…

Creates algorithmic music composition systems using procedural generation, Markov chains, L-systems, and neural approaches for ambient…

Evaluates product specifications and project roadmaps from an executive perspective to optimize feature scope, user value, and execution…

Validates end-to-end data synchronization, user permissions, and state propagation across mobile, web, and backend surfaces.

Monitors post-release mobile deployments, tracks crash rates and ANRs, and verifies key smoke flows during staged rollouts.

Diagnoses, fixes, and re-verifies mobile app bugs across Flutter and React Native with rigorous regression testing on target devices.

Performs read-only mobile app quality assurance and generates detailed bug reproduction reports for Flutter and React Native projects.

Guides product discovery interviews to clarify problem definitions, challenge assumptions, and identify minimum viable starting points.

Evaluates UI/UX design plans, user flows, UI states, responsiveness, and accessibility before frontend implementation.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks.

Graph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants…