“app store optimization”

When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata…

**Required reading before writing or running any SQL.** Patterns for Snowflake query performance and chain-specific pitfalls.

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.

Profile-driven performance optimization with behavior proofs.

Optimize code performance through iterative improvements (max 2 rounds).

Optimize non-periodic molecular TS guesses and verify first-order saddle point from vibrational modes.

When the user wants to reduce churn, improve user engagement, or increase lifetime value.

When the user wants to improve conversion rates, run A/B tests, optimize funnels, or reduce friction.

Apply spark optimization in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation.

Use when profiling CPU hot paths, optimizing memory allocations, or enforcing static typing performance in Dart.

Optimize existing Azure resources and analyze Reservations or Savings Plans.

Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube…

Use when optimizing token usage, KV cache efficiency, or context window management for LLM agents.

Diagnose slow Elasticsearch Query DSL searches and propose measured fixes.

Makes GitHub Actions workflows faster and cheaper by separating queue delay, execution wall clock, rounded job minutes, rerun waste, and billed cost before…

Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning.

Guided journey from a working codebase grown slow and tangled to one measurably fast, cleanly bounded, and readable.

Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout…

Use when droids repeat a mistake despite guidance, skip a skill, or get steered wrong by a hook or tool: trace it to the first control-plane failure.

Intelligent system governor that continuously shadow-tests APIs for performance while enforcing strict financial and security guardrails against runaway costs.

Iteratively optimize expensive black-box objectives — such as materials properties, experimental yields, or simulation outputs — by learning from past…

When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow.

Multi-chain yield optimization via yield.xyz (StakeKit).

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations