Performance
Performance profiling and optimization
databricks-apps
by databricks
Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.
code-review
by breaking-brake
Analyze PR diffs and generate review comments from code quality, security, and performance perspectives. Use for code reviews, quality checks, and security analysis.
code-review-large
by breaking-brake
In-depth code review for large PRs (>500 lines). Full analysis including architecture, performance, security, and maintainability.
AgentMemory Skill
by LeoYeAI
Custom: AgentMemory(db_path="/path/to/memory.db")
vercel-react-best-practices
by CloudAI-X
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
optimizing-performance
by CloudAI-X
Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when asked about performance issues.
extreme-software-optimization
by pedronauck
Profile-driven performance optimization with behavior proofs. Use when: optimize, slow, bottleneck, hotspot, profile, p95, latency, throughput, or algorithmic improvements.
hermes-ops
by chujianyun
运维 Hermes Agent 的实战 skill。适用于用户提到“运维 hermes”“排查 hermes 问题”“gateway 异常”“平台掉线”“cron 不执行”“profile 配置混乱”“skills 或 tools 不生效”“想让其他 agent 帮忙维护 hermes”时使用。基于 hermes-agent 源码和官方命令入口，优先做检查、定位、修复、验证四步，不凭感觉瞎改。
code-optimization
by bytedance
Optimize code performance through iterative improvements (max 2 rounds). Benchmark execution time and memory usage, compare against baseline implementations, and generate detailed optimization reports. Supports C++, Python, Java, Rust, and other languages.
indicator-series
by DaveSkender
Implement Series-style batch indicators with mathematical precision. Use for new StaticSeries implementations or optimization. Series results are the canonical reference—all other styles must match exactly. Focus on cross-cutting requirements and performance optimization decisions.
report-research
by numerai
Write a complete Numerai experiment report in experiment.md (abstract, methods, results tables, decisions, next steps) and generate/link the standard show_experiment plot(s). Use after running any Numerai research experiments, or when a user asks for a “full report”, “write up”, “experiment.md update”, or “generate the standard plot”.
numerai-experiment-design
by numerai
Design and manage Numerai experiments in this repo for any model idea.
learning-log
by codewithmukesh
Auto-document insights and discoveries during development sessions. Unlike MEMORY.md (corrective rules from the self-correction-loop skill), the learning log captures organic discoveries: non-obvious bugs, undocumented architecture decisions, performance findings, workarounds, and gotchas. Stored at .claude/learning-log.md. Load this skill when Claude discovers something non-obvious, finds a workaround, uncovers an undocumented decision, or when the user asks about "learnings", "discoveries", "gotchas", "what did we learn", or "document this finding".
self-correction-loop
by codewithmukesh
Self-improving correction capture system. After ANY user correction, detect it, generalize the lesson, and store it as a reusable rule in MEMORY.md. Ensures Claude's mistake rate drops over time by compounding corrections into permanent knowledge. Load this skill when a user corrects Claude's output, mentions "remember this", "don't do that again", "learn from mistakes", "update memory", or when starting a new session (to review existing rules).
weather
by aws-samples
Current weather and multi-day forecasts worldwide
plain-optimize
by dropseed
Captures and analyzes performance traces to identify slow queries and N+1 problems. Use when analyzing performance or optimizing database queries.
reddit-ads
by kostja94
When the user wants to set up, optimize, or manage Reddit Ads. Also use when the user mentions "Reddit Ads," "Promoted Posts," "subreddit targeting," "Reddit advertising," or "Reddit communities."
referral-program
by kostja94
When the user wants to plan, implement, or optimize referral program strategy. Also use when the user mentions "referral program," "referral marketing," "user referral," "refer-a-friend," "word-of-mouth growth," "referral rewards," "referral tracking," "referral code," "referral incentives," or "viral loop."
local-seo
by kostja94
When the user wants to optimize for local search, set up Google Business Profile, or build local citations. Also use when the user mentions "local SEO," "Google Business Profile," "Google Maps," "NAP," "citations," "local search," "local business," or "service area."
matlab-performance-optimizer
by matlab
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
migrate-postgres-tables-to-hypertables
by timescale
Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. Trigger when user asks to: - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration Prerequisites: Tables already identified as candidates (use find-hypertable-candidates first if needed) Keywords: migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.
react-native-best-practices
by callstackincubator
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
web-browser
by tkersey
"Use when tasks need real-browser web automation in Chrome/Chromium via CDP: open or navigate URLs, click/type/select in forms, run page JS, wait for selectors, scrape structured content, capture screenshots, validate UI flows, or run measured web-browser latency checks (bench:eval, bench:all) for perf regressions."
performance-profiling
by vudovn
Performance profiling principles. Measurement, analysis, and optimization techniques.