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Claude Skills by mouadja02
github.com/mouadja02725 skills0 installs10 views
- Gtm Ai GtmGo-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.Votes: 0GitHub stars: 10
- Gtm Board And Investor CommunicationBoard meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.Votes: 0GitHub stars: 10
- Gtm Developer EcosystemBuild and scale developer-led adoption through ecosystem programsVotes: 0GitHub stars: 10
- Gtm Enterprise Account PlanningStrategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern.Votes: 0GitHub stars: 10
- Gtm Enterprise OnboardingFour-phase framework for onboarding enterprise customers from contract to value realizationVotes: 0GitHub stars: 10
- Gtm Operating CadenceDesign meeting rhythms, metric reporting, quarterly planning, and decision-making velocity for scaling companiesVotes: 0GitHub stars: 10
- Gtm Partnership ArchitectureBuild and scale partner ecosystems that drive revenue and platform adoptionVotes: 0GitHub stars: 10
- Gtm Positioning StrategyUse when a product needs a defensible market position — defining the competitive alternative, unique attributes, the value they enable, and the segment that cares most.Votes: 0GitHub stars: 10
- Gtm Product Led GrowthBuild self-serve acquisition and expansion motionsVotes: 0GitHub stars: 10
- Gtm Technical Product PricingUse when pricing a technical product — choosing a pricing model and metric, setting tiers and packaging, usage versus seat based pricing, and aligning price with delivered value.Votes: 0GitHub stars: 10
- Create Spring Boot Java ProjectUse when scaffolding a new Spring Boot project in Java — generating the project skeleton, build file, package layout, and baseline configuration.Votes: 0GitHub stars: 10
- Create Spring Boot Kotlin ProjectUse when scaffolding a new Spring Boot project in Kotlin — generating the project skeleton, Gradle build, package layout, and baseline configuration.Votes: 0GitHub stars: 10
- Java Add Graalvm Native Image SupportGraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best practicesVotes: 0GitHub stars: 10
- Javax To Jakarta MigrationMigrate Java code from javax.* to jakarta.* namespaceVotes: 0GitHub stars: 10
- Spring Boot TestingExpert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJVotes: 0GitHub stars: 10
- Arize Ai Provider IntegrationArize AI integrations — list/create/update/delete for OpenAI/Anthropic/Azure/BedrockVotes: 0GitHub stars: 10
- Arize AnnotationArize annotations — label schema configs, review queues, human feedback workflowsVotes: 0GitHub stars: 10
- Arize DatasetAlso use when the user needs test data or evaluation examples for their model. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLIVotes: 0GitHub stars: 10
- Arize EvaluatorArize LLM judge — evaluators, hallucination/faithfulness/relevance scorers, eval runsVotes: 0GitHub stars: 10
- Arize ExperimentArize experiments — create, run, analyze. A/B eval, model comparison (GPT-4, Claude)Votes: 0GitHub stars: 10
- Arize InstrumentationArize AX tracing — 2-phase: codebase analysis → instrumentation with user confirmationVotes: 0GitHub stars: 10
- Arize LinkUse when you need a deep link into the Arize UI for a specific model, monitor, trace, or dashboard — for example to cite a finding or hand a teammate the exact view.Votes: 0GitHub stars: 10
- Arize Prompt OptimizationAlso use when the user wants to make their AI respond better or improve AI output quality. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLIVotes: 0GitHub stars: 10
- Arize TraceCovers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation with the ax CLIVotes: 0GitHub stars: 10
- Multimodal Rag ArchitectureUse when designing or auditing RAG over PDFs, images, tables, charts, equations, video frames, or heterogeneous documents where text-only chunking loses important evidence.Votes: 0GitHub stars: 10
- Nano Banana ProGemini image gen/edit via Nano Banana: text/image input, 512-4K workflows, draft→iterate→final.Votes: 0GitHub stars: 10
- Openai Image GenOpenAI Images API: batches, prompt sampler, gallery — gpt-image-1 and variants.Votes: 0GitHub stars: 10
- Openrouter Agent Migration@openrouter/sdk → @openrouter/agent — callModel, tool(), stop conditions migrationVotes: 0GitHub stars: 10
- Openrouter ImagesGenerate images from text prompts and edit existing images using OpenRouter's image generation models. Use when the user asks to create, generate, or make an image, picture, or illustration from a description, or wants to edit, modify, transform, or alter an existing image with a text prompt.Votes: 0GitHub stars: 10
- Openrouter ModelsQuery OpenRouter for available AI models, pricing, capabilities, throughput, and provider performanceVotes: 0GitHub stars: 10
- Openrouter OauthImplement "Sign In with OpenRouter" using OAuth PKCE — framework-agnostic, no SDK or client registration required. Use when the user wants to add OpenRouter login, authentication, sign-in buttons, OAuth, or AI model inference API keys for browser-based apps. No client registration, no backend, no secrets required.Votes: 0GitHub stars: 10
- Openrouter Typescript Sdkintegrating with 300+ AI models through the OpenRouter TypeScript SDK and Agent packages using the callModel patternVotes: 0GitHub stars: 10
- OracleOracle second-model review: bundle prompts/files for another AI, debug, refactor, design.Votes: 0GitHub stars: 10
- Phoenix CliPhoenix CLI — fetch/export traces, analyze errors, open coding axial coding reviewVotes: 0GitHub stars: 10
- Phoenix EvalsBuild and run evaluators for AI/LLM applications using Phoenix.Votes: 0GitHub stars: 10
- Phoenix TracingOpenInference semantic conventions and instrumentation for Phoenix AI observabilityVotes: 0GitHub stars: 10
- Qdrant Clients SdkQdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.Votes: 0GitHub stars: 10
- Qdrant Deployment OptionsUse when choosing how to run Qdrant: local mode, Docker, Qdrant Cloud, or self-hosted Kubernetes. Narrows the choice by managed ops versus full control, acceptable network latency, and prototyping versus production.Votes: 0GitHub stars: 10
- Qdrant Model MigrationGuides embedding model migration in Qdrant without downtimeVotes: 0GitHub stars: 10
- Qdrant MonitoringGuides Qdrant monitoring and observability setupVotes: 0GitHub stars: 10
- DebuggingUse when a Qdrant deployment misbehaves — slow queries, memory pressure, stuck optimizers, unhealthy shards, or failed replicas. Covers the metrics and telemetry endpoints to inspect and how to read them.Votes: 0GitHub stars: 10
- SetupUse when setting up observability for Qdrant — enabling the metrics endpoint, wiring Prometheus and Grafana, and choosing which collection, cluster, and resource metrics to watch.Votes: 0GitHub stars: 10
- Qdrant Performance OptimizationDifferent techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerationsVotes: 0GitHub stars: 10
- Indexing Performance OptimizationUse when diagnosing slow Qdrant ingestion, delayed optimizer completion, long HNSW builds, or payload-index construction.Votes: 0GitHub stars: 10
- Memory Usage OptimizationUse when diagnosing Qdrant resident-memory pressure, page-cache confusion, optimization headroom, or RAM-versus-disk placement.Votes: 0GitHub stars: 10
- Search Speed OptimizationUse when diagnosing slow Qdrant queries, low search throughput, filtered-search regressions, or optimizer interference.Votes: 0GitHub stars: 10
- Qdrant ScalingUse when a Qdrant deployment needs to scale and the strategy is not yet chosen. Start here to identify what you are scaling for — data volume, query throughput (QPS), query latency, or query volume — then routes to the matching strategy with its tradeoffs.Votes: 0GitHub stars: 10
- Minimize LatencyUse when single-query Qdrant latency is too high and throughput is not the constraint. Covers segment count matched to CPU cores, keeping quantized vectors and HNSW in RAM, and trading recall for speed via hnsw_ef.Votes: 0GitHub stars: 10
- Scaling Data VolumeUse when a Qdrant dataset outgrows a single node. Covers multi-tenant payload partitioning, sharding, vertical scaling, and sliding time windows for time-bounded data.Votes: 0GitHub stars: 10
- Horizontal ScalingUse when diagnosing Qdrant capacity limits or deciding between vertical and horizontal scaling, including node, shard, replication, resharding, tenant-isolation, and fault-tolerance tradeoffs.Votes: 0GitHub stars: 10