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dkmqflx

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• 48 skills
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• 3 hours ago last updated

1. ▌
   Swarm · dkmqflx bundle

   Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
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   AWS Cdk · dkmqflx bundle

   Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
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   AWS Iam · dkmqflx

   Verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Use alongside documentation when working with IAM roles, policies, STS, or Organizations. Do NOT use for non-IAM authorization like Cognito user-pool policies or app-level RBAC.
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4. ▌
   Langgraph CLI · dkmqflx

   INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.
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   AWS Serverless · dkmqflx bundle

   Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge Scheduler, Lambda layers, Durable Functions, durable execution, checkpoint-and-replay, and production readiness. Use when the user mentions Lambda, API Gateway, Step Functions, SAM templates, CDK serverless stacks, DynamoDB stream triggers, SQS event sources, cold starts, timeouts, 502/504 errors, throttling, concurrency, CORS, Powertools, Durable Functions, durable execution, checkpoint-and-replay, or any event-driven architecture on AWS, even if they don't say "serverless." Do NOT use for EC2, ECS/Fargate containers, or Amplify hosting.
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6. ▌
   Deep Agents Core · dkmqflx

   INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
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   Deep Agents Memory · dkmqflx

   INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
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   Querying Data Lake · dkmqflx bundle

   Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
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9. ▌
   Langgraph Persistence · dkmqflx

   INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
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10. ▌
    Exploring Data Catalog · dkmqflx bundle

    Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).
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11. ▌
    Langgraph Fundamentals · dkmqflx

    INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
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    Creating Data Lake Table · dkmqflx bundle

    Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
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    Finding Data Lake Assets · dkmqflx bundle

    Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path. Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table).
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    Ingesting Into Data Lake · dkmqflx bundle

    Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
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15. ▌
    Deep Agents Orchestration · dkmqflx

    INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
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    AWS Messaging And Streaming · dkmqflx

    Guides use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when implementing messaging and streaming patterns.
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17. ▌
    Langgraph Human In The Loop · dkmqflx

    INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
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18. ▌
    Storing And Querying Vectors · dkmqflx bundle

    Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
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19. ▌
    AWS Billing And Cost Management · dkmqflx bundle

    Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.
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20. ▌
    Open Pr · dkmqflx

    Push the current branch and open a pull request against the detected base branch, with an AI-drafted title and body confirmed by the user before creating. Use when the user wants to open, create, or submit a PR — phrases like "PR 올려줘", "PR 열어줘", "PR 만들어줘", "open a PR", "create a pull request", "submit for review", "/open-pr". Do NOT use to review, comment on, or update an existing PR.
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21. ▌
    Worktree · dkmqflx bundle

    Create a new git worktree on a fresh branch and switch into it before starting work. Use when the user asks to start a task in a new worktree, work in isolation from the main checkout, or invokes "/worktree" — phrases like "워크트리 만들어줘", "새 브랜치 파서 작업해줘", "worktree에서 작업 시작". Do NOT use for removing or cleaning up an existing worktree.
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22. ▌
    Turborepo · dkmqflx bundle

    Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.
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23. ▌
    Branch Done · dkmqflx

    Delete the current feature branch and switch back to the base branch after opening a PR. Use when the user has just opened a PR and wants to clean up — phrases like "PR 올렸으니 정리해줘", "브랜치 정리해줘", "정리하고 돌아가줘", "clean up this branch", "delete feature branch", "/branch-done". Do NOT use inside a git worktree — that is the worktree-done skill.
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    Commit Each · dkmqflx

    Split the current git changes (working tree + staged) into one commit per logical unit of work. Use when the user asks to commit changes separately by task — phrases like "각각 커밋해줘", "작업별로 커밋", "변경사항 분리해서 커밋", "split commits", "commit by task", "/commit-each".
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25. ▌
    Agents Build · dkmqflx bundle

    Use when adding capabilities to an existing agent project — memory, app integration, VPC, multi-agent, migration, model changes, browser, code interpreter, or resource removal. Triggers on: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "auth to call agent", "streaming responses", "VPC", "VPC connectivity", "VPC error", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "after import", "migration issue", "framework for migration", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "resource-based policy on memory". Not for connecting to external APIs via Gateway — use agents-connect. Not for scaffolding a new project — use agents-get-started. Not for CLI/dev server errors — use agents-debug. Strands vs LangGraph in a migration context routes here.
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26. ▌
    Fsd Scaffold · dkmqflx bundle

    Scaffold FSD (Feature-Sliced Design) folder structure and files when writing code for a Next.js project. Use when the user asks to implement a new feature or entity — creates missing directories and files following FSD conventions before writing any code.
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27. ▌
    Start Branch · dkmqflx

    Create a new git branch with an appropriate name for the current task and switch to it immediately — no new worktree directory, just a branch. Use when the user wants to start work on a fresh branch from the current position — phrases like "브랜치 만들어줘", "새 브랜치에서 작업 시작", "start a new branch", "create a branch for this", "작업 브랜치 파줘", "/start-branch". Do NOT use when the user explicitly wants a worktree (separate directory).
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28. ▌
    Langchain RAG · dkmqflx

    INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
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29. ▌
    Nestjs Config · dkmqflx bundle

    NestJS configuration and environment management best practices. Use when configuring a NestJS app — ConfigModule, environment variables, typed config, or env validation. Triggers on ConfigModule, ConfigService, process.env, registerAs, or .env handling.
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30. ▌
    Worktree Done · dkmqflx

    Remove the current git worktree, switch the main checkout to the base branch, and delete the feature branch. Use when the user has finished work started with the worktree skill (or `/worktree`) and wants to clean up — phrases like "워크트리 정리해줘", "워크트리 삭제해줘", "clean up this worktree", "remove worktree", "/worktree-done". Do NOT use from the main checkout (not a worktree) — that is the branch-done skill.
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31. ▌
    Nestjs Testing · dkmqflx bundle

    NestJS testing best practices (unit and e2e). Use when writing or reviewing NestJS tests — Test.createTestingModule, mocking providers, controller/service unit tests, or e2e with supertest. Triggers on TestingModule, createTestingModule, overrideProvider, or supertest.
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32. ▌
    Fastapi Testing · dkmqflx bundle

    FastAPI testing best practices. Use when writing or reviewing tests for a FastAPI app — TestClient, dependency_overrides, async httpx clients. Triggers on TestClient, AsyncClient, ASGITransport, dependency_overrides, or pytest test files for FastAPI endpoints.
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    Nestjs Database · dkmqflx bundle

    NestJS database and ORM best practices (TypeORM, Prisma, Mongoose). Use when integrating a database in NestJS — repositories, entities, migrations, transactions, or query performance. Triggers on TypeOrmModule, @InjectRepository, PrismaService, @Entity, migrations, or N+1 queries.
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34. ▌
    Nestjs Security · dkmqflx bundle

    NestJS security hardening best practices. Use when securing a NestJS app — security headers, rate limiting, CORS, secrets, and input hardening. Triggers on helmet, ThrottlerModule, enableCors, CSRF, rate limiting, or production security review.
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35. ▌
    Fastapi Security · dkmqflx bundle

    FastAPI security and authentication best practices. Use when implementing or reviewing auth in FastAPI — OAuth2PasswordBearer, get_current_user dependencies, router-level auth, password hashing, token endpoints. Triggers on OAuth2PasswordBearer, OAuth2PasswordRequestForm, get_current_user, or Depends-based auth.
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36. ▌
    Testing Patterns · dkmqflx bundle

    Vitest testing patterns for this project. Automatically applied when writing unit/integration tests for components, custom hooks, Server Actions, and utility functions.
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    Nestjs Modules Di · dkmqflx bundle

    NestJS module organization and dependency injection best practices. Use when writing or reviewing NestJS modules, providers, or DI wiring. Triggers on @Module, @Injectable, provider registration, injection scopes, dynamic modules, or circular dependencies.
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38. ▌
    Nestjs Controllers · dkmqflx bundle

    NestJS controller and routing best practices. Use when writing or reviewing NestJS controllers, route handlers, DTOs, or request/response handling. Triggers on @Controller, @Get/@Post, route params, DTOs, serialization, or API versioning.
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39. ▌
    Nestjs Guards Auth · dkmqflx bundle

    NestJS guards, authentication, and authorization best practices. Use when implementing or reviewing auth in NestJS — guards, JWT/Passport strategies, RBAC, route protection. Triggers on CanActivate, AuthGuard, JwtStrategy, @Roles, @Public, or Reflector.
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40. ▌
    Framework Selection · dkmqflx

    INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
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41. ▌
    Managed Deep Agents · dkmqflx

    INVOKE THIS SKILL when creating, running, or operating a Managed Deep Agent against the LangSmith /v1/deepagents private-preview REST API. Covers the agent → MCP server → thread → streamed run flow, tool/interrupt configuration, and the agent file tree (AGENTS.md, skills/, subagents/, tools.json).
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42. ▌
    Nestjs Interceptors · dkmqflx bundle

    NestJS interceptors best practices. Use when writing or reviewing NestJS interceptors — response transformation, logging, timeouts, or caching around handlers. Triggers on NestInterceptor, intercept(), CallHandler, map(), or @UseInterceptors.
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43. ▌
    Nestjs Caching Queues · dkmqflx bundle

    NestJS caching and background-job queue best practices. Use when adding caching or async job processing to NestJS — CacheModule, cache-manager, Redis, or BullMQ/Bull queues. Triggers on CacheModule, @InjectQueue, @Processor, cache TTL, or background jobs.
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44. ▌
    Start Branch From Dev · dkmqflx

    Sync the local dev branch to the latest remote, then create a new well-named branch from it and switch to it. Use when the user wants to start fresh work based on dev — phrases like "dev에서 브랜치 만들어줘", "dev 기준으로 작업 시작", "dev 기반 브랜치", "start from dev", "branch off dev", "/start-branch-from-dev". Do NOT use when branching from the current position is fine — use /start-branch for that.
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45. ▌
    Fastapi Best Practices · dkmqflx bundle

    Use when writing, reviewing, or refactoring FastAPI code — endpoints, APIRouter, query/path parameters, dependencies (Depends), Pydantic request/response models, error handling, async def vs def, lifespan events, streaming, background tasks, settings, middleware, or CORS. Triggers on FastAPI backend work, route design, or API code review. For auth/security see fastapi-security; for tests see fastapi-testing.
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46. ▌
    Nestjs Validation Pipes · dkmqflx bundle

    NestJS validation and pipes best practices. Use when validating or transforming request input in NestJS — DTO validation, ValidationPipe, class-validator/class-transformer, or custom pipes. Triggers on ValidationPipe, @IsString/@IsEmail, ParseIntPipe, whitelist, or transform.
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47. ▌
    Nestjs Exception Filters · dkmqflx bundle

    NestJS exception handling and filters best practices. Use when handling errors in NestJS — throwing HTTP exceptions, custom exception classes, or global exception filters. Triggers on HttpException, BadRequestException, @Catch, ExceptionFilter, or error response shape.
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48. ▌
    Nestjs Performance Logging · dkmqflx bundle

    NestJS performance and logging/observability best practices. Use when optimizing a NestJS app's throughput or adding structured logging, health checks, or graceful shutdown. Triggers on FastifyAdapter, compression, pino logger, health checks, Terminus, or graceful shutdown.
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