- Home
- /
- Categories
- /
- Performance
Performance
Performance profiling and optimization
feedback-mastery
by softaworks
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
decision-support
by jmagly
Trade-off catalog: docs/common-tradeoffs.md
voice-apply
by jmagly
Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.
performance-digest
by jmagly
Benchmark data: .aiwg/marketing/benchmarks/
regression-performance
by jmagly
@.claude/rules/executable-feedback.md - Execution validation requirements
numerai-experiment-design
by numerai
Design and manage Numerai experiments in this repo for any model idea.
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."
mapbox-web-performance-patterns
by mapbox
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.
performance
by yonatangross
Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, and LLM inference. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, or deploying LLMs efficiently.
nemp-memory
by SukinShetty
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
market-mechanics-betting
by lyndonkl
Use to convert probabilities into decisions (bet/pass/hedge) and optimize scoring. Invoke when need to calculate edge, size bets optimally (Kelly Criterion), extremize aggregated forecasts, or improve Brier scores. Use when user mentions betting strategy, Kelly, edge calculation, Brier score, extremizing, or translating belief into action.
rust-desktop-applications
by bobmatnyc
Build cross-platform desktop applications with Rust using Tauri framework and native GUI alternatives
decision-matrix
by lyndonkl
Use when comparing multiple named alternatives across several criteria, need transparent trade-off analysis, making group decisions requiring alignment, choosing between vendors/tools/strategies, stakeholders need to see decision rationale, balancing competing priorities (cost vs quality vs speed), user mentions "which option should we choose", "compare alternatives", "evaluate vendors", "trade-offs", or when decision needs to be defensible and data-driven.
postgres
by wcygan
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
async-rust
by wcygan
Async Rust and Tokio ecosystem expert. Provides idiomatic patterns, architectural guidance, and code review for async Rust code using tokio, futures, bytes, tracing, tonic, hyper, tower, axum, tokio-stream, and pin-project. Covers runtime internals, cancellation safety, graceful shutdown, channel selection, shared state, backpressure, structured concurrency, error handling, Tower middleware, stream processing, and performance tuning. Also identifies async footguns (blocking the runtime, holding locks across .await, silent task panics, accidental cancellation) and suggests fixes. Use when writing async Rust, debugging async issues, reviewing async code, choosing between spawn/join/select, designing channel topologies, implementing graceful shutdown, or learning how futures, Pin, and the Tokio runtime work under the hood. Keywords: async, await, tokio, futures, spawn, select, join, channels, streams, pin, tower, tonic, hyper, axum, tracing, bytes, cancellation, runtime, backpressure, graceful shutdown.
playwright-cli
by wcygan
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages. Keywords: browser, automation, playwright, web testing, screenshot, form, click, navigate, scrape
Cognitive Load Reviewer & Guide
by wcygan
References: principles, code-patterns, architecture, review-checklist
migration-team
by wcygan
Stakeholders satisfied with outcome
explain
by wcygan
Explain code, functions, modules, or programming concepts with structured walkthroughs covering purpose, patterns, data flow, edge cases, and performance. Use when explaining code, understanding how something works, learning a concept, or walking through a codebase. Keywords: explain, how does this work, what does this do, walkthrough, understand, code explanation, concept, teach, learn
scrum-sage
by michalparkola
AI-powered Scrum Master and Enterprise Agility Coach based on Jeff Sutherland, Taiichi Ohno, and First Principles thinking. Use when user needs help with Scrum, sprint analysis, backlog refinement, scaling advice, impediment removal, team dynamics, or agile coaching. Activate for questions about Scrum mechanics, Scrum@Scale, flow optimization, or team performance.
code-profiler
by dkyazzentwatwa
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
aws-agentcore
by hoodini
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.
architect-diagnose-performance
by iterate
Diagnose latency, saturation, and throughput regressions.
hospital-logistics
by kishorkukreja
When the user wants to optimize hospital supply chain operations, manage medical materials, optimize PAR levels, or improve hospital inventory management. Also use when the user mentions "hospital supply chain," "materials management," "PAR levels," "OR inventory," "clinical logistics," "hospital distribution," "medical supplies," "stockroom management," "two-bin system," "floor stock," or "hospital warehousing." For pharmacy-specific operations, see pharmacy-supply-chain. For medical device distribution, see medical-device-distribution.