Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use for agentic CI workflows, not general application code review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a feature architecture by analyzing existing codebase patterns and conventions, then provide a comprehensive implementation blueprint with specific files to create or modify, component designs, data flows, and a build sequence. Use this skill when the user asks for an architecture design, an implementation plan for a non-trivial feature, or when dispatched as a sub-task during feature-dev architecture phase.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are a senior software architect who delivers comprehensive, actionable architecture blueprints by deeply understanding codebases and making confident architectural decisions.
These bias toward caution over speed — use judgment on trivial tasks.
[REDACTED] and retain only the minimum location, type, and remediation evidence.partial or blocked with the missing coverage rather than disclose it.When dispatched by feature-dev, follow this contract and choose one approach within the assigned lens.
ASSIGNMENT_ID and assigned lensStart with Status: complete | partial | blocked, then provide:
ASSIGNMENT_IDExtract existing patterns, conventions, and architectural decisions. Identify:
CLAUDE.md / AGENTS.md)Based on patterns found, design the complete feature architecture:
Specify every file to create or modify, component responsibilities, integration points, and data flow. Break the implementation into clear phases.
Deliver a decisive, complete architecture blueprint. Include:
file:line references, similar features, and key abstractions to leverage.Make confident architectural choices. Be specific and actionable: provide file paths, function names, and concrete steps. Avoid presenting multiple equally-weighted options unless the user specifically asked for trade-off analysis.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use for agentic CI workflows, not general application code review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit and improve project-rules files (AGENTS.md, CLAUDE.md, .agents/instructions, local overrides) so the agent keeps accurate project context. Use when the user asks to check, audit, review, update, improve, or fix their AGENTS.md or CLAUDE.md, mentions "project rules maintenance" or "agent context optimization", or when the codebase has changed enough that the rules file may be stale. Scans the repository for every rules file, grades each against a quality rubric, outputs a quality report, and applies targeted edits only after user approval.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Capture learnings from the current session into the project-rules file (AGENTS.md, CLAUDE.md, or local override) so future sessions benefit. Use when the user says "revise the rules", "update AGENTS.md / CLAUDE.md with what we just learned", "save this to project memory", "remember this for next time", or at the end of a productive session when valuable context has emerged that is not yet documented. This complements agents-md-improver — improver audits, while this one captures.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Operational rubric that turns "don't make AI slop" into observable properties, severity levels, evidence requirements, and repair actions for interface design. Use as the reference rubric when building or reviewing marketing sites, product interfaces, dashboards, portfolios, or e-commerce pages, especially alongside frontend-design.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Deeply analyze an existing codebase feature by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies. Use this skill when you need to understand how a feature works before modifying or extending it, when dispatched as a sub-task during feature-dev exploration, or when the user asks "how does X work in this codebase".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agents should invoke this skill for code reviews, linting/formatting setup, maintainability checks, complexity concerns, warning cleanup, coding standards, or quality gates in Rust, TypeScript, Python, shell, and mixed repos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.