Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Go programming expert including APIs, gRPC, concurrency, and best practices
インストールする前に、エージェントに与えられる指示の中身を確認できます。
When reviewing or writing code, apply these guidelines:
panic for expected error conditions; panics crash the entire goroutine pool and are invisible to callers.context.Context as the first parameter through call chains — contexts enable cancellation, deadlines, and trace propagation; adding them later requires refactoring every callsite._ in production code — silently dropped errors hide failed writes, network timeouts, and authentication failures until they cause data corruption.defer to release resources (files, mutexes, connections) immediately after acquisition — resource leaks accumulate across goroutines and cause eventual exhaustion under load.| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
panic for expected errors | Crashes entire server process; callers cannot handle gracefully | Return error value; use panic only for programmer errors (impossible states) |
| Sharing maps/slices across goroutines without sync | Data race detected by -race; corrupts map internals | Use sync.Mutex, sync.Map, or channel-based access for concurrent state |
Missing context.Context parameter | Cannot cancel in-flight requests; no deadline propagation; harder to trace | Accept ctx context.Context as first param on all I/O-touching functions |
_ = someFunc() discarding errors | Silent failures; production bugs with no observable signal | Handle or wrap every error: if err != nil { return fmt.Errorf("...: %w", err) } |
Forgetting defer on resources | File/connection leaks; mutex never unlocked on error path | defer f.Close() / defer mu.Unlock() immediately after acquire |
This expert skill consolidates 1 individual skills:
Before starting:
cat .claude/context/memory/learnings.md
After completing: Record any new patterns or exceptions discovered.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。