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dotnet-senior

Senior-level .NET development guidance for architecture, code review, scaffolding, EF Core, ASP.NET Core, Blazor, and MAUI targeting .NET 8 and .NET 10. Provides opinionated best practices, modern C# idioms, security hardening, performance optimization, and testing strategies at a staff/senior engineer level. Trigger patterns (match any variation): .NET / dotnet / dot net / .net / C# / csharp / c sharp / c-sharp / ASP.NET / aspnet / asp.net core / Entity Framework / EF Core / ef core / Blazor / MAUI / maui / NuGet / nuget / Clean Architecture + .NET / CQRS + .NET / DDD + .NET / {review, scaffold, create, design, architect, optimize, migrate} + {C#, .NET, dotnet, csharp} / "dotnet new" / "dotnet build" / "dotnet test" / "dotnet publish" / ".NET best practices" / "C# patterns" / "senior .NET" / ".NET architecture"

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hideki5123/agent-skill-set

실행 점수 미검증

설치 방법 보기

포함된 파일(7)

  • SKILL.md4.1 KB
  • agents/dotnet-senior.md12.3 KB
  • references/architecture-patterns.md15.9 KB
  • references/dotnet10-knowledge.md14.9 KB
  • references/dotnet8-knowledge.md11.6 KB
  • references/review-checklist.md8.0 KB
  • references/team-roles.md6.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

.NET Senior Development Skill

This skill delegates to the dotnet-senior:dotnet-senior subagent (@agent-dotnet-senior:dotnet-senior), which carries the full role definition, constraints, and senior-level review/scaffolding/EF/ASP.NET guidance.

How to invoke

When invoked, hand the user's request off to the subagent so the role's system prompt, constraints, and judgment criteria apply. Example:

@agent-dotnet-senior:dotnet-senior <user request>

The subagent system prompt covers:

  • Modern C# idioms (primary constructors, collection expressions, pattern matching, records) and version targeting (.NET 8 LTS / .NET 10).
  • Architecture pattern selection (Minimal API, Clean Architecture, DDD, CQRS, Modular Monolith) with trade-off explanation.
  • Senior-level code review checklist (correctness, security, performance, maintainability, modern idioms).
  • Project scaffolding (solution layout, essential NuGet packages, dotnet CLI commands).
  • EF Core, ASP.NET Core, performance, error handling, and testing patterns.

When to skip the subagent

Only skip the subagent and answer inline if the user's request is purely a one-line factual lookup (e.g., "what's the default port for Kestrel?") where the full role context adds no value. Otherwise, delegate.

Version-specific references

The subagent reads version knowledge bases on demand. The skill's references/ directory ships:

  • references/dotnet8-knowledge.md — .NET 8 (LTS) features and APIs
  • references/dotnet10-knowledge.md — .NET 10 features and .NET 8 migration
  • references/architecture-patterns.md — pattern descriptions and templates
  • references/review-checklist.md — full code review checklist
  • references/team-roles.md — perspectives for architecture team review

These files are shared between the skill and the subagent. The subagent's working directory is the caller's project, not this plugin's install location, so a bare relative Read does not resolve — the subagent locates its own directory first via a cache-path glob (see "Locating your reference files" in agents/dotnet-senior.md) before reading any reference file.

Retrospective

After completing a /dotnet-senior flow, reflect on the entire execution:

  1. Were there mid-session corrections, rejected outputs, plan changes, or errors?
  2. Ask the user: "Quick feedback on this run? (1-5 rating, note any issues, or press enter to skip)"
  3. If the user provides feedback OR if corrections/issues occurred: a. Create feedback/ if it does not exist. b. Read or create feedback/log.md (header: # Feedback Log + blank line + <!-- Append new entries at the top. Do not edit previous entries. -->). c. Prepend a new entry: 
    ## <ISO-8601 timestamp>
- **Skill Version**: <version from this file's frontmatter>
- **Task**: <brief description>
- **Outcome**: success | partial-success | failure | error
- **Rating**: <N>/5 (or "—" if not provided)
- **Corrections**: <mid-session corrections, or "none">
- **Issues**: <specific problems, or "none">
- **User Note**: <user's verbatim feedback, or "—">
---
  4. If the user skips AND no corrections or issues occurred, end without recording.

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같은 저장소의 스킬

adversarial-panel

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Run a multi-model adversarial mutual review with facilitator synthesis: 2+ panelists (different model families where possible — use codex-server / codex-cli for the external-family seat) independently answer, adversarially critique each other across rounds, and the main session acts as facilitator, synthesizing agreements, live disagreements, and calibrated confidence into one answer. Use ONLY on high-stakes, hard-to-reverse claims, designs or decisions, and only when the user EXPLICITLY asks to debate or adversarially review with multiple models — "discuss with Opus and Codex", "red-team this", "devil's advocate", 敵対的レビュー, 相互レビュー, 多モデル討論, 議論させて. A full run costs ~6 subagent/CLI dispatches: state the panel size and round count and get a go-ahead before launching. Where the Workflow tool is available, run the panel as a Workflow (judge-panel / adversarial-verify) instead of ad-hoc fan-out. Do NOT self-trigger on a bare "are you sure?" — that is a cue to OFFER the panel, not to run it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

agent-swarm

무료

Orchestrate multiple coding-agent sessions (Claude Code, Codex, Gemini) over the mcp_agent_mail MCP server, observe their progress on a recurring auto-loop, and prevent inconsistencies (file/edit conflicts and contradictory decisions) between concurrent tasks. Auto-manages the agent-mail server, derives the shared room key from the git repo, and runs either as the orchestrator/observer or as a participating worker. Handles the operational details (server startup, room key, reservation conventions) so the user does not have to remember them. Use when coordinating several agent sessions on different tasks at once, watching a swarm of sessions for conflicts, or wiring already-running sessions into a shared coordination room. Trigger phrases: "agent-swarm", "/agent-swarm", "orchestrate agents", "orchestrate multiple claude sessions", "coordinate sessions", "watch for conflicts between agents", "observe the swarm", "prevent inconsistency between sessions", "multi-agent observe", "複数セッションを協調", "エージェント協調", "セッション間の不整合監視", "スウォーム監視", "複数のClaudeを束ねて".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

agents-init

무료

Generate AGENTS.md (cross-tool agent context — Codex CLI, Aider, Cursor, etc.) and wire CLAUDE.md as a symlink so Claude Code reads the same file. Delegates content generation to Claude's built-in /init when needed, then renames + symlinks. Idempotent. Triggers — /agents-init, "generate agents.md", "create agents.md", "share claude and codex context", "set up agents file", "init agents", "agents-init", "cross-tool agent context", "wire claude and agents".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

chrome-use

무료

Drive an already-running, LOGGED-IN Chromium browser on macOS via AppleScript — navigate, click, fill forms, scroll, and extract page content from the user's REAL session, with the browser left open and NO profile copy and NO restart. Use when the task needs the existing logged-in session (cookies, auth, current tabs) reused as-is. Trigger phrases: "chrome-use", "ブラウザから取得", "ログイン済みの Chromeで", "ブラウザを操作して", "このページ読んで", "Xのスレッド読んで", "ログインしたまま取得", "自分のセッションでスクレイプ", "read this page in my browser", "scrape with my session", "drive my chrome", "execute JS in my (logged-in) browser", "automate my logged-in browser". Chromium family (Chrome default; Brave/Edge/Arc/Vivaldi via --app). NOT for isolated/throwaway automation where login reuse is unneeded — use playwright-cli for that. macOS only.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

codex-cli

무료

Run OpenAI Codex CLI from the terminal for batch / one-shot `codex exec` invocations with output captured to an `-o` file. Use for fire-and-forget runs, scripted CI, code review batches (`codex review`), and resuming a specific session by id (`codex exec resume`). Always use this skill instead of `mcp__codex__codex` and `mcp__codex__codex-reply` MCP tools — CLI is faster and more capable. For streaming UX, multi-turn dialogues that need live state, structured (JSON schema) output, attaching images, or programmatic event handling → **use codex-server instead**. codex-server uses the user's ChatGPT subscription via Codex App Server and decoupled async invocation that bypasses the Bash 2-minute timeout entirely. Trigger patterns (batch-only — chat/streaming triggers belong to codex-server): codex-cli / codex CLI / codex exec / codex review / codex resume / codex fork / batch + {codex, gpt} / one-shot + {codex, gpt} / non-interactive + codex / codex {to a file, -o, output file, captured output} / CI + {codex, gpt} / scripted + {codex, gpt} / fork codex session / resume codex session by id

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

codex-server

무료

Run OpenAI Codex via the Codex App Server (JSON-RPC-over-stdio) for streaming multi-turn chat sessions with persistent threads, structured output, image input, and rich event streams. Default entry point for ChatGPT/GPT/Codex-like conversations from the terminal. Uses the user's ChatGPT subscription (Plus / Pro / Team) exclusively via `codex login` — never consumes OPENAI_API_KEY billing, by design. Implementation: TypeScript on deno with npm:@openai/codex-sdk; spawns the existing system codex binary. Decoupled async invocation: every turn returns turn-id in <1 s; the actual SDK work runs in a detached worker that streams to per-turn files under ~/.codex-server/turns/<turn-id>/ — Bash's 2-min timeout never applies. Prefer this over codex-cli for streaming UX, multi-turn dialogues that need live state, structured (JSON schema) output, attaching images, or programmatic event handling. Use codex-cli only for one-shot batch invocations that pre-capture to an -o file. For OpenAI Platform API calls specifically (embeddings, image generation, audio, moderation, batches, files) — not open-ended chat — use openai-cli instead; that path bills OPENAI_API_KEY, this one uses the ChatGPT subscription. Trigger patterns (match any variation): codex / codex-server / codex app server / codex app-server / openai / open ai / OpenAI / chatgpt / chat gpt / ChatGPT / GPT / ask gpt / chat with gpt / gpt session / codex session / streaming chat / multi-turn chat / multi turn chat / second opinion / cross-check / cross check / ai pair programming / another AI / external AI / ask another model / get GPT's take / what does openai think / show me what gpt thinks / structured output from gpt / json schema gpt / resume codex thread / continue codex conversation / continue codex session / /codex-server

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hideki5123/agent-skill-set22026년 10월 21일 업데이트

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