Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Go programming expert including APIs, gRPC, concurrency, and best practices
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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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.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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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.
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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
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