Claude Skills by thedixitjain

'Implement Shopify app reference architecture with Remix, Prisma session storage, and the official app template patterns. Use when setting up a new Shopify app, structuring a Remix-based project, or configuring Prisma session storage for production. Trigger with phrases like \"shopify architecture\", \"shopify app structure\", \"shopify project layout\", \"shopify Remix template\", \"shopify app design\". '

'Optimize Shopify theme performance for Core Web Vitals (LCP, CLS, INP). Use when diagnosing slow page loads, fixing lazy-loaded hero images, profiling Liquid render times, or optimizing image delivery. Trigger with phrases like \"shopify theme performance\", \"shopify core web vitals\", \"shopify lcp\", \"shopify liquid profiler\", \"shopify image optimization\". '

'Upgrade Shopify API versions and migrate from REST to GraphQL with breaking change detection. Use when upgrading API versions, migrating from deprecated REST endpoints, or handling Shopify''s quarterly API release cycle. Trigger with phrases like \"upgrade shopify\", \"shopify API version\", \"shopify breaking changes\", \"migrate REST to GraphQL\", \"shopify deprecation\". '

Use when designing or auditing the evaluation of a SIGGRAPH / TOG paper, covering head-to-head comparisons against the strongest prior method, ablations, performance/timing reporting with hardware, image/geometry quality metrics, perceptual and user studies, and matching the evidence to the graphics claim shape.

Use when designing or auditing ACM SIGMETRICS evaluations, covering theorem-plus-validation rigor, stating and testing modeling assumptions, analysis-vs-simulation agreement, real workloads and traces, fairly tuned baselines, statistics and confidence intervals for stochastic systems, learning guarantees, measurement provenance, and matching evidence to the shape of each performance claim.

Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent and prior-version overlap.

Use when deciding whether a computer-systems performance project belongs at ACM SIGMETRICS or should be routed to IMC, SIGCOMM/NSDI/OSDI, INFOCOM, a learning venue (NeurIPS/ICML), or a performance journal (Performance Evaluation/TON/QUESTA), and when picking the right SIGMETRICS track (Theory / Measurement & Applied Modeling / Learning / Operational Systems).

Use when planning an ACM SIGMETRICS project timeline across the three rolling deadlines (summer/fall/winter), from venue fit through abstract registration, submission, shepherding, the one-shot revision round, POMACS publication, and presentation, with backward-planning offsets for a performance-evaluation paper and honest handling of the rolling-deadline cadence and the 12-month resubmission bar.

Review all changed files for reuse, quality, and efficiency, then fix any issues found. Spawns three parallel review agents and aggregates findings into actionable fixes.

Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes.

Parallel 4-agent cleanup of recent code changes.

Deep simplification pass over a target's files. Use when the user invokes /simplify-stuff or asks to simplify files, docs, skills, or plugins (simplify, semplifica).

Code simplification for high-complexity files. Targets deep nesting, copy-paste patterns, god functions, and files over 200 lines.

Profile and analyze the initialization (compile) phase of a Simulink model. Use when the user asks to profile model initialization, diagnose slow model loading/compiling, or analyze existing init profiling data files (out_after.mat, perfTracer.mat, profilerResults.mat, modelCompileDiary.txt).

Analyze Simulink Profiler results to find simulation bottlenecks or compare two profiler sessions to identify regressions. Use when asked to profile a Simulink model, analyze profiler data, find what is slow, or compare simulation performance between two runs or releases.

Runs the Simulink Solver Profiler and analyzes the results. Run when the user asks to run the Simulink solver profiler and when the user asks for advice on solver issues or performance issues in Simulink.

When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking. Also use when the user mentions \"sitemap,\" \"site map,\" \"visual sitemap,\" \"site structure,\" \"page hierarchy,\" \"information architecture,\" \"IA,\" \"navigation design,\" \"URL structure,\" \"breadcrumbs,\" \"internal linking strategy,\" \"website planning,\" \"what pages do I need,\" \"how should I organize my site,\" or \"site navigation.\" Use this whene...

Plan or restructure website hierarchy, navigation, URL patterns, breadcrumbs, and internal linking. Use when mapping pages, sections, and site structure, but not for XML sitemap auditing or schema markup.

Expert multi-AI code review with inline PR comments — use for thorough quality and security analysis

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior

Self-evolving skill optimization via SkillOpt-paper-grounded text-space optimizer.

Build features with tests-before-code rigor — use for new features needing test coverage

Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, or integrating skill QA into CI.

Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like 'make my agent better the more I use it', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule offline self-optimization. Drives the skillopt_sleep engine: harvest past sessions -> mine recurring tasks -> replay offline -> consolidate validated...

Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like 'make my agent better the more I use it', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule background self-optimization. Drives the skillopt_sleep engine: harvest past sessions -> mine recurring tasks -> replay through a selected backend ->...

../../../engineering/chaos-engineering/skills/chaos-engineering/SKILL.md

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

Smart change detection, auto branch naming, and streamlined commit/PR workflow

'Choose and implement Snowflake architecture blueprints: data lakehouse, data mesh, data sharing, and Snowpark-native patterns for different scales. Use when designing Snowflake data platforms, choosing between architectures, or implementing data sharing and Snowpark patterns. Trigger with phrases like \"snowflake architecture\", \"snowflake lakehouse\", \"snowflake data mesh\", \"snowflake data sharing\", \"snowflake Snowpark\". '

'Collect Snowflake debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support cases, or collecting diagnostic information from QUERY_HISTORY and ACCOUNT_USAGE. Trigger with phrases like \"snowflake debug\", \"snowflake support bundle\", \"snowflake diagnostic\", \"snowflake query history\", \"snowflake troubleshoot\". '

'Execute Snowflake incident response with triage, rollback, and postmortem using real SQL diagnostics. Use when responding to Snowflake outages, investigating query failures, or running post-incident reviews for pipeline failures. Trigger with phrases like \"snowflake incident\", \"snowflake outage\", \"snowflake down\", \"snowflake on-call\", \"snowflake emergency\". '

'Optimize Snowflake query performance with clustering, materialized views, caching, and query profiling. Use when queries are slow, analyzing QUERY_HISTORY for bottlenecks, or optimizing warehouse utilization and data scanning. Trigger with phrases like \"snowflake performance\", \"optimize snowflake\", \"snowflake slow query\", \"snowflake clustering\", \"snowflake query profile\". '

'Implement Snowflake reference architecture with medallion pattern and Snowflake-native design. Use when designing a new Snowflake data platform, setting up bronze/silver/gold layers, or establishing architecture standards for a Snowflake deployment. Trigger with phrases like \"snowflake architecture\", \"snowflake medallion\", \"snowflake best practices layout\", \"snowflake data platform design\". '

'Upgrade Snowflake drivers, handle breaking changes, and migrate between editions. Use when upgrading snowflake-sdk or snowflake-connector-python versions, migrating between Snowflake editions, or handling deprecations. Trigger with phrases like \"upgrade snowflake\", \"snowflake migration\", \"snowflake breaking changes\", \"update snowflake driver\", \"snowflake version\". '

Use when organizing the back matter of a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission — there is no supplementary channel, so appendix architecture inside the single no-page-limit PDF does the supplement's job; covers front/back matter split, appendix ordering, and external-archive references.

Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

Run the SPARC Pseudocode and Architecture phases (2 and 3) — write algorithm pseudocode, design module boundaries and API contracts, then implement

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.

>- Statistical Process Control (SPC) — select the correct control chart, interpret out-of-control signals using Western Electric rules, calculate and interpret Cp, Cpk, Pp, Ppk. Use when setting up SPC for a new characteristic, interpreting control chart signals, responding to special cause variation, or auditing SPC implementation. Covers AIAG SPC 2nd edition and IATF 16949 §8.3.3.

'Collect diagnostic information for Speak API issues: auth verification, audio format validation, session inspection, and network testing. Use when implementing debug bundle features, or troubleshooting Speak language learning integration issues. Trigger with phrases like \"speak debug bundle\", \"speak debug bundle\". '

'Incident response for Speak API outages: triage, fallback to offline mode, and recovery procedures. Use when implementing incident runbook, or managing Speak language learning platform operations. Trigger with phrases like \"speak incident runbook\", \"speak incident runbook\". '

'Migrate between language learning platforms, import student progress, and transition from legacy speech APIs. Use when implementing migration deep dive, or managing Speak language learning platform operations. Trigger with phrases like \"speak migration deep dive\", \"speak migration deep dive\". '

'Optimize Speak API latency with audio preprocessing, response caching, and connection pooling. Use when implementing performance tuning, or managing Speak language learning platform operations. Trigger with phrases like \"speak performance tuning\", \"speak performance tuning\". '

'Handle Speak API rate limits with exponential backoff, request queuing, and optimization strategies. Use when implementing rate limits features, or troubleshooting Speak language learning integration issues. Trigger with phrases like \"speak rate limits\", \"speak rate limits\". '

'Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like \"speak reference architecture\", \"speak reference architecture\". '

'Upgrade Speak SDK versions, migrate between language learning platforms, and handle API version changes. Use when implementing upgrade migration features, or troubleshooting Speak language learning integration issues. Trigger with phrases like \"speak upgrade migration\", \"speak upgrade migration\". '

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.