Discover Tools skills, compare source repositories and read the instructions for each workflow.
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...
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.
Plan, design, and govern a portfolio of reports, dashboards, and data products for clinical laboratories (biochemistry, pathology, clinical microbiology, molecular diagnostics). Use when lab managers and data s...
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...
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...
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...
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...
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...
[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...
[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...
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...
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...
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...
[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...
[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...
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...
[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).
Generate English commit message with emoji prefix and push. Use when user wants to commit and push changes, or uses /commit.
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...
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...
Analyze conversation to extract reusable engineering rules. Use when user says 'reflect', 'remember this', 'learn from this', or after receiving corrections/feedback.
Guidelines for identifying the appropriate AI persona (Flash, Sonnet, Pro) for a given task.
Gather design feedback from AI consultants (Gemini and Codex). Use for architecture decisions, design review, or when you want multiple expert perspectives on SENTINEL development. (project)
Deploy Codex or Gemini as working agents to implement tasks. Use when you want another AI to actually write code, not just review. (project)
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.