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pevd950 AI Skills

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Browse published AI skills maintained by pevd950. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

agent-instruction-maintenance

pevd950

Review, update, and synchronize agent instructions and configs across Codex and Claude (and optionally VS Code/Copilot); use when creating or refactoring agent prompts, skills, or chatmodes (trigger keywords: a...

GitHub

pr-feedback

pevd950

Triage and address PR review feedback and CI failures with minimal diffs; use when asked to respond to review comments or fix CI (trigger keywords: PR feedback, review comments, CI failure).

GitHub

backlog-planner

pevd950

Create or refine backlog items with clear scope and acceptance criteria using the gh CLI; use when planning work, writing tickets, or breaking down epics (trigger keywords: backlog, issue, ticket, epic, roadmap...

GitHub

debug-triage

pevd950

Systematically reproduce, diagnose, and fix bugs; use when debugging failures, crashes, or test errors (trigger keywords: debug, bug, failure, crash, flaky test).

GitHub

swiftui-ui-patterns

pevd950

Best practices and example-driven guidance for building SwiftUI views and components. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens, or needing componen...

GitHub

code-janitor

pevd950

Clean up codebases by removing dead code, simplifying logic, and reducing tech debt; use when asked to refactor for simplicity, delete unused code, or tidy dependencies (trigger keywords: cleanup, refactor, tec...

GitHub

code-review

pevd950

Review code changes for correctness, security, tests, and architecture; use for code review or PR review requests (trigger keywords: code review, review changes, PR review, security review).

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.