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claudecodexCore skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Work with Flyte 2. Deploy Flyte on AWS or kind, author and run workflows, apps, agents, data, and ML workloads with the SDK, and operate your cluster through bundled MCP servers.
Plugin flyte from marketplace flyte-agent-plugins in flyteorg/flyte-agent-plugins. Commands read from the repo's manifest — 12 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
deploy-flyte-core-kindDeploy Flyte v2 on a local kind cluster with the SPLIT flyte-core chart and a locally built image — runs, actions, events, cache, dataproxy, secret, and executor each as their own Deployment, backed by in-cluster PostgreSQL + MinIO by default (Supabase / S3 / R2 optional) and reached through one Tra
deploy-flyte-kind-vmDeploy Flyte on a kind cluster onto any host — your local machine, or a fresh cloud VM (DigitalOcean, AWS EC2, or GCP Compute Engine). Provisions the VM (firewall scoped to your IP), installs Docker/kind/kubectl/helm, then runs the kind Flyte deploy on that host and tunnels access back to your machi
deploy-flyte-kindDeploy a complete Flyte stack (flyte-binary + a hosted PostgreSQL + an object store) onto a kind cluster, running on the user's own machine or a DigitalOcean VM (droplet). PostgreSQL is hosted (Supabase or external); the object store is AWS S3 or Cloudflare R2. Use when the user wants to run Flyte o
flyte-deploy-aws-coreUse when deploying Flyte v2 on AWS with the SPLIT flyte-core chart — each service (runs, actions, events, cache, dataproxy, secret, executor, app) as its own independently scalable Deployment behind an ALB, on EKS + S3 + RDS. Choose this over flyte-deploy-aws when you need to scale services independ
flyte-deploy-awsUse when deploying a Flyte v2 (flyte-binary / flyte2) cluster on AWS from scratch — provisions EKS + S3 + RDS PostgreSQL + AWS Load Balancer Controller, then helm-installs the flyte-binary chart behind an ALB, with optional TLS and Okta SSO. Trigger words: "deploy flyte", "flyte v2 on AWS", "flyte E
flyte-migrate-configMigrates Flyte 1 task configuration, container images, resources, caching, secrets, scheduling, and CLI/config-file usage to Flyte 2 equivalents. Use when migrating Flyte 1 task configuration, images, resources, secrets, scheduling, or CLI/config-file usage to Flyte 2. Trigger words include resource
flyte-migrate-control-flowMigrates Flyte 1 branching, dynamic workflows, failure handling, and fan-out to native Flyte 2 Python. Use when migrating Flyte 1 branching, dynamic workflows, failure handling, or map_task/fan-out to Flyte 2. Trigger words: conditional, @dynamic, map_task, on_failure, branching, parallelism, fan-ou
flyte-migrate-data-ioMigrates Flyte 1 data types and offloaded I/O to Flyte 2. Use when migrating Flyte 1 data types and I/O (files, directories, dataframes, dataclasses) to Flyte 2, converting FlyteFile, FlyteDirectory, or StructuredDataset to flyte.io.File, flyte.io.Dir, and flyte.io.DataFrame. Trigger words are Flyte
flyte-migrate-mlMigrates Flyte 1 machine learning code to Flyte 2 and unlocks net-new v2 patterns. Use when migrating Flyte 1 ML workloads (training, HPO, GPU/deep learning, batch inference) to Flyte 2, specifying GPU resources, or building the end-to-end pipeline pattern. Trigger words - migrate training, HPO, GPU
flyte-migrate-pluginsMaps Flyte 1 plugins and agents (flytekitplugins-*) to their Flyte 2 equivalents (flyteplugins-*), lists the v1 integrations that have no v2 plugin and what to use instead, and shows the three ways a v2 plugin attaches to a task (plugin_config on a TaskEnvironment, a standalone plugin task wrapped w
flyte-migrate-slurmMigrates Slurm (sbatch/srun) HPC workloads to Flyte 2 (the flyte Python SDK) — job scripts become typed tasks, `#SBATCH` pragmas become TaskEnvironment config, job arrays become flyte.map or asyncio.gather, and multi-node training becomes a clustered task environment. Use when porting an HPC or supe
flyte-migrate-tasks-workflowsMigrates Flyte 1 tasks and workflows to Flyte 2, where the @task, @workflow, and @dynamic decorators collapse into a single @env.task on a flyte.TaskEnvironment and a workflow becomes a task that calls other tasks. Use when the user is migrating Flyte 1 tasks/workflows to Flyte 2. Trigger words: mig
flyte-migrate-troubleshootDiagnoses and fixes errors that show up when running Flyte 1 (flytekit) code freshly migrated to Flyte 2 (flyte), such as submit-time import failures, missing depends_on between environments, pandas DataFrames that are not wrapped, exceptions that are not caught, notebooks missing from the code bund
flyte-migrateEntry-point orchestrator for porting Flyte 1 (flytekit) code to Flyte 2 (flyte). Explains the v1 to v2 shift, the terminology mapping, a recommended migration strategy, hybrid v1/v2 pipelines, and routes to sibling migration skills. Use when the user wants to migrate, port, or upgrade Flyte 1 (flyte
flyte-sdk-agentBuilds durable agents with Flyte 2 — ReAct patterns, Plan-and-Execute, LangGraph integration, PydanticAI integration, OpenAI Agents SDK integration, agent memory, MCP tool integration, skills, and agent chat UI. Use when the user wants to build AI agents, implement ReAct loops, integrate agent frame
flyte-sdk-appBuilds and serves Flyte 2 apps — FastAPI, Streamlit, vLLM, SGLang, WebSocket, and browser apps. Use when the user wants to serve a model, create a REST API, build a dashboard, deploy an LLM backend, or create a web app with Flyte. Trigger words: "app", "serve", "deploy app", "FastAPI", "Streamlit",
flyte-sdk-authorCreates Flyte 2 project scaffolds (tasks, workflows, launch plans, apps), selects patterns (map tasks, traces, dynamic workflows, conditions), and generates code from templates aligned to the user''s constraints. Use when the user wants to create or scaffold Flyte workflows, tasks, or apps from scra
flyte-sdk-dataHandles data engineering patterns: ETL pipelines, data processing, data quality checks, fanout/map tasks, conditions, dynamic workflows, and batch data transformations. Use when the user wants to build ETL pipelines, process large datasets, run data quality checks, fan out data processing tasks, or
flyte-sdk-evalBuilds minimal evaluation harnesses (unit tests + small-run workflows) and suggests ways to validate correctness and performance early. Use when the user wants to test Flyte tasks, validate pipeline outputs, set up evaluation pipelines, or write unit tests for ML/data workflows. Trigger words: "test
flyte-sdk-mlHandles ML workload patterns: model training, hyperparameter optimization, experiment tracking, model evaluation and selection, batch inference, real-time serving, and model monitoring. Use when the user wants to train models, run hyperparameter search, track experiments, evaluate models, do batch o
flyte-sdk-optimizeSuggests performance improvements (task granularity, caching, resource requests, data format changes) using observed run metadata when available. Use when the user wants to optimize workflow performance, debug slow tasks, configure caching, tune resources, or improve throughput. Trigger words: "opti
flyte-sdk-runRuns Flyte 2 workflows, interacts with runs and actions, retrieves logs and data, and manages run lifecycle. Use when the user wants to run a workflow, check run status, view logs, get run outputs, re-run a workflow, or manage runs programmatically. Trigger words: "run", "execute", "logs", "status",
flyte-sdk-shipGenerates flyte.Image specs, Dockerfiles, dependency management, image tagging strategy, and reproducible build instructions for Flyte tasks. Use when the user needs to build container images for Flyte tasks, configure custom images, manage dependencies, or set up reproducible builds. Trigger words:
flyte-sdk-typesGuides correct types, I/O, and serialization for common data (Pandas, Arrow, Parquet, images, audio, HF datasets), including data locality and storage best practices. Use when the user needs help with type annotations, data serialization, file I/O between tasks, custom type transformers, DataFrame h
start-dex-localDeploy Dex as a local in-cluster OIDC provider (IdP stand-in) for a kind-based Flyte deployment, so oauth2-proxy can be tested with no cloud account or real users. Use when the user wants to stand up Dex locally for testing Flyte authentication. For local testing only — in-memory storage, static tes
flyte-docsconnects to: https://flyte-mcp.apps.demo.hosted.unionai.cloud/flyte-mcp/mcp
flyte-clusterruns: uvx --from flyte[mcp]==2.6.10 flyte-mcp --transport stdio --tool-groups task,run,action,logs,app,trigger,project,secret,condition,identity --no-init-from-config
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Scaffold, validate, and publish new Claude Code plugins with proper structure
3 skills · 1 command · 1 agent
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Use Alibaba Open Code Review from local Codex.
2 skills
Claude Code skill for creating and presenting Slidev slidedecks
1 skill
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
12 skills · 1 MCP server · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.