Loading...
Loading...
Found 134 Skills
List all tasks of the specified project
Associate two tasks (cross-project support)
Initialize TeamBition workspace configuration (credentials, parameters, common projects)
Adapt interfaces for different devices, breakpoints, platforms, and usage contexts without sacrificing core usability.
Deliver Python backends across async FastAPI and Django or Flask service styles while keeping API design, validation, auth, and service behavior explicit.
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.
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
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).
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).
Reviews and improves English text for grammar, clarity, and tone while preserving the original intent. Tailored for non-native English speakers, especially Spanish speakers. Use when proofreading emails, Slack messages, reports, meeting notes, or presentation content.
Write code using Agora SDKs (agora.io) for real-time communication. Covers RTC (video/voice calling, live streaming, screen sharing), RTM (signaling, messaging, presence), Conversational AI (voice AI agents), Cloud Recording, Server Gateway, and server-side token generation. Use when the user wants to build real-time audio/video applications, integrate Agora SDKs (Web JS/TS, React, iOS Swift, Android Kotlin/Java, Go, Python), manage channels, tracks, tokens, use RTM for messaging/signaling, record RTC sessions, or build Conversational AI with the agent-toolkit. Triggers on mentions of Agora, agora.io, RTC, RTM, video calling, voice calling, real-time communication, screen share, screen sharing, record session, record calls, Cloud Recording, Server Gateway, Linux media SDK, agora-rtc-sdk-ng, agora-rtc-react, agora-rtm, conversational AI with Agora, Agora token generation, Agora authentication, agora-agent-client-toolkit, agora-agent-client-toolkit-react, agora-agent-server-sdk, AgoraVoiceAI, AgoraClient, useConversationalAI, useTranscript, useAgentState, agent transcript, agent state hook.
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout. Prefer existing kernels and custom ops; use Triton only when no viable existing-kernel path exists. Use ad-graph-dump for AD_DUMP_GRAPHS_DIR workflows. Covers TRT-LLM paths, registry, default.yaml registration, graph validation, tests, and a review checklist — without prescribing profiling tools or throughput targets.