Packs

8 packs

Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.

18 skills · pack

Optimize GKE Costs

Analyzes current usage, recommends cost-saving measures, and applies optimizations to GKE workloads.

3 skills · pack

AI Search Optimization

Analyze and optimize content for AI Overviews, ChatGPT, and Perplexity using GEO techniques.

9 skills · pack

CRO Landing Page Optimization

Diagnose conversion issues, design high-converting page elements, and optimize forms to boost conversions.

9 skills · pack

SEO Audit to Optimization

Audit a website for SEO issues, analyze on-page elements, and implement fixes to improve organic performance.

9 skills · pack

Google Cloud Well-Architected

For architects evaluating Google Cloud workloads against the Well-Architected Framework pillars: reliability, cost optimization, and operational excellence.

6 skills · pack

Edge Delivery Services Content Ops

Content operations skills for AEM Edge Delivery Services: page auditing, SEO optimization, AI search (GEO), WCAG accessibility, bulk metadata, structured data, sitemap validation, and content diffing

12 skills · pack

@alirezarezvani

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

8 skills · pack

Results for “optimization”

21 skills

power-bi-dax-optimization

Analyzes and optimizes DAX formulas for better performance, readability, and maintainability in Power BI.

arize-prompt-optimization

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.

36.2k · bundle

context-optimization

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.

16.9k · bundle

Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.

Provides PhD-level mathematical analysis for machine learning, including optimization theory, statistical learning theory, and convergence proofs.

Converts narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty.

More results

prompt-optimizer

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

efficient-frontier

Orchestrate expensive frontier models as reviewers and cheaper subagents for bounded, token-heavy work to optimize cost and quality.

skill-optimizer

Improves AI skills for activation, clarity, and cross-model reliability through benchmarking, salience tuning, and regression triage.

prompt-engineer

Designs, optimizes, and evaluates prompts for LLMs, including structured outputs, chain-of-thought, and evaluation frameworks.

10.4k · bundle

lucaspmarie-a11y

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

credit-optimizer

Reduces AI API costs by 30-75% by classifying task complexity, checking prompt quality, and routing tasks to the most cost-efficient model tier before execution.

context-compression

Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.

16.9k · bundle

Silently restructures natural-language prompts into the format best suited for the model currently executing the skill, then answers the rewritten version.

Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.

prompt-optimizer

Transforms rough drafts, vague ideas, or task descriptions into polished, ready-to-send prompts for any LLM chat interface, with no placeholders or templates.

orchestra-research

Build complex AI systems with declarative programming, optimize prompts automatically, and create modular RAG systems and agents using Stanford NLP's DSPy framework.

10.4k · bundle

sakamoto-family-smile

prompt-optimizer

Analyzes draft prompts, identifies intent and gaps, matches ECC components, and outputs an optimized prompt for the user to paste and run. Advisory only, never executes the task.

prompt-optimizer

Analyze draft prompts to identify intent, scope, and missing context, then generate an optimized prompt with ECC component recommendations. Advisory only — never executes the task.

Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.

Generates AI images via Ideogram, Leonardo, or Flux using plugin scripts, or delivers an optimized prompt when no API key is configured. Requires explicit cost confirmation before each paid generation.