Packs
8 packs@dotnet
Dotnet Msbuild
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
18 skills · pack
curated
Optimize GKE Costs
Analyzes current usage, recommends cost-saving measures, and applies optimizations to GKE workloads.
3 skills · pack
curated
AI Search Optimization
Analyze and optimize content for AI Overviews, ChatGPT, and Perplexity using GEO techniques.
9 skills · pack
curated
CRO Landing Page Optimization
Diagnose conversion issues, design high-converting page elements, and optimize forms to boost conversions.
9 skills · pack
curated
SEO Audit to Optimization
Audit a website for SEO issues, analyze on-page elements, and implement fixes to improve organic performance.
9 skills · pack
curated
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
@adobe
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
Agenthub
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 skillsteamwork
Creates and manages AI agent teams for complex engineering tasks, with model routing, cost optimization, and performance evaluation.
10
ai-product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
arbor
Run autonomous optimization loops that iteratively improve artifacts against evaluators using hypothesis tree refinement, without overfitting.
30.2k · bundle
cuopt-user-rules
Guides users through installing, configuring, and calling the NVIDIA cuOpt SDK for routing and optimization problems, with emphasis on clarifying requirements and safe execution.
2.2k · bundle
arbor
Runs an autonomous optimization loop that iteratively improves an artifact against an objective and evaluator using Hypothesis Tree Refinement, with subagent executors in isolated git worktrees.
253 · bundle
cuopt-skill-evolution
Detects generalizable learnings from problem-solving interactions and proposes skill updates to improve future performance.
2.2k · bundle
More results
iterative-retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
concept-analyzer
Analyzes Claude Code features to uncover advanced usage patterns, best practices, and real-world applications, producing a structured guide.
2
efficient-frontier
Orchestrate expensive frontier models as reviewers and cheaper subagents for bounded, token-heavy work to optimize cost and quality.
3.4k · bundle
llm-models
Access 100+ LLMs including Claude, Gemini, Kimi, and GLM via the inference.sh CLI with automatic fallback and cost optimization.
584
model-router
Routes AI model requests to the optimal provider based on task, cost, latency, and capability requirements, managing multi-provider LLM deployments.
10
ai-md
Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.
42.4k
tilegym-cutile-python
Write high-performance GPU kernels using cuTile's tile-based programming model with validation and optimization, including deep agent orchestration for complex multi-kernel tasks.
2.2k · bundle
dspy
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
cuopt-routing-api-python
Solve vehicle routing problems (TSP, VRP, PDP) using NVIDIA cuOpt's Python API with cost matrices, time windows, capacity constraints, and pickup-delivery pairs.
2.2k · bundle
autobrowse
Builds reliable browser automation skills by iteratively running a browsing task, reading the trace, and improving the navigation strategy until it passes consistently.
1 · bundle
cuopt-developer
Modify, build, test, debug, and contribute to the NVIDIA cuOpt codebase (C++/CUDA, Python, server, CI). Includes guidance for solver internals, pull requests, DCO signoff, and code conventions.
2.2k · bundle
reasoning-trace-optimizer
Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.
16.9k · bundle
tokenwise
Auto-routes Claude Code subtasks to the cheapest capable model (Haiku/Sonnet/Opus), logs token costs, and A/B tests tiers to validate savings against real workloads.
42.4k
model-route
Recommends the optimal Claude model tier (Opus, Sonnet, or Haiku) for a given task by analyzing reasoning depth, blast radius, domain expertise, output length, and correctness cost, and suggests parallelization opportunities.
0
self-improvement-loops
Designs and governs recursive self-improvement loops where an agent mines its own failures and proposes edits to its own harness, prompts, or workflow, covering acceptance gates, diversity preservation, and the optimization ladder.
16.9k · bundle