GitHub
fe-design
Enforce a precise, minimal design system inspired by Linear, Notion, and Stripe. Use this skill when building dashboards, admin interfaces, or any UI that needs Jony Ive-level precision - clean, modern, minimal...
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部署与运维 AI 技能
发现 部署与运维 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
i18n-patterns
Internationalization patterns for Lingx. Type-safe translations with Lingx SDK, ICU MessageFormat, key naming conventions, and extraction. Use when adding translations, reviewing i18n code, or troubleshooting t...
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GitHub
interview
This skill should be used when the user asks to "interview me about the plan", "validate my implementation plan", "review my design decisions", "question my architecture choices", or when finishing plan mode be...
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GitHub
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
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GitHub
target-fe-architecture
Target frontend architecture for Lingx. Progressive FSD Hybrid combining Next.js App Router with Feature-Sliced Design layers. Use when implementing frontend features, reviewing code, or making architectural de...
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GitHub
testing-patterns
Testing best practices for Lingx. Unit tests with Vitest, integration tests with Prisma, E2E tests with Playwright. Use when writing tests, reviewing test code, or setting up test infrastructure.
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GitHub
tracing-inlining-decisions
Shows inlining decisions during compilation with call tree and reasons for inline/don't-inline. Use to verify critical calls are inlined, understand why inlining failed (too large, recursive, boundary), and opt...
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GitHub
detecting-deoptimizations
Traces deoptimization events where execution falls back from compiled code to interpreter. Use to detect deoptimization loops, unstable assumptions, and type instability. Zero transfers in steady-state is the g...
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GitHub
tracing-execution-counts
Counts exact execution frequencies (not time) at function/statement level. Shows interpreted vs compiled execution split. Use to verify functions compile (>95% compiled), understand control flow patterns, and v...
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GitHub
fetching-truffle-documentation
Fetches information from official GraalVM, Truffle, and Graal compiler documentation for API guidance, performance optimization, compiler flags, profiling, specializations, Bytecode DSL, Truffle DSL, partial ev...
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GitHub
profiling-with-cpu-sampler
Time-based sampling profiler showing WHERE execution time is spent (wall-clock time, not frequency). Provides histogram with self/total time, compilation tiers (T0/T1/T2), and flame graphs. Use as FIRST step to...
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GitHub
implementing-performance-fixes
[PHASE 4] Implements and validates fixes for verified theories. Entry: PERFORMANCE_THEORIES.md has a verified theory. Outputs: Code fix, BENCHMARK_BASELINE.md new column, theory marked fixed/fix-failed. Next: L...
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GitHub
optimizing-truffle-performance
[ORCHESTRATOR] Runs full performance optimization loop for Truffle languages. Entry: User wants to optimize performance. Process: Determines current state, executes appropriate phase (1→2→3→4), loops until perf...
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GitHub
profiling-memory-allocations
Experimental allocation profiler tracking memory allocations at guest-language level. Shows allocation sites, object types, and memory pressure patterns. Use to identify allocation-heavy locations, find unneces...
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GitHub
detecting-performance-warnings
Detects optimization barriers during Truffle compilation. Identifies virtual calls, non-constant stores, unresolved type checks, and TruffleBoundary issues that prevent peak performance. Reports exact source lo...
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GitHub
analyzing-compiler-graphs
Dumps and analyzes Graal IR compiler graphs showing optimization decisions. Use BGV format with bgv2json/seafoam to inspect escape analysis, boxing removal, inlining decisions, and call node types. Reveals what...
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GitHub
generating-performance-theories
[PHASE 2] Analyzes code to identify optimization opportunities. Entry: BENCHMARK_BASELINE.md exists AND (no PERFORMANCE_THEORIES.md OR all theories fixed). Outputs: PERFORMANCE_THEORIES.md. Next: PHASE 3 (verif...
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GitHub
verifying-performance-theories
[PHASE 3] Proves theories with profiling tools. Entry: PERFORMANCE_THEORIES.md has unverified theories. Outputs: Theory marked verified/falsified. Next: PHASE 4 (implementing-performance-fixes) when one theory...
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GitHub
tracing-compilation-events
Logs every compilation event with timing, tier (T1/T2), success/failure, and invalidation reasons. Use to verify hot code is compiling, diagnose compilation failures/bailouts, track recompilation cycles, and un...
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GitHub
establishing-benchmark-baseline
[PHASE 1] Creates benchmark suite and performance expectations. Entry: No BENCHMARK_BASELINE.md exists. Outputs: BENCHMARK_BASELINE.md, benchmark files. Next: PHASE 2 (generating-performance-theories).
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GitHub
commit
Generate English commit message with emoji prefix and push. Use when user wants to commit and push changes, or uses /commit.
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GitHub
yaml-validator
Comprehensive YAML syntax validation, error fixing, and schema validation for various formats (GitHub Actions, Docker Compose, Kubernetes, GitLab CI). Use when Claude needs to: (1) Validate YAML syntax, (2) Che...
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GitHub
presentation-builder
Creates professional PowerPoint presentations from content using HTML/CSS slides. Can also read and analyze existing PPTX files. Use when the user asks to create slides, build a presentation, generate a deck, m...
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GitHub
reflect
Analyze conversation to extract reusable engineering rules. Use when user says 'reflect', 'remember this', 'learn from this', or after receiving corrections/feedback.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。