Skill UI

Detect SQL injection weaknesses by running the sql-injection-detector plugin against codebases, identifying risky queries, and providing remediation guidance to secure applications.

Blueprint for designing GitHub Actions-powered CI/CD pipelines that leverage Docker multi-stage builds, Helm chart environments, ArgoCD GitOps, Kubernetes manifests, and monitoring best practices to keep deployments reliable across teams.

Performs security-focused differential review of PRs, commits, and diffs, adapting depth to repo size, tracing git history, estimating blast radius, checking coverage, and producing detailed markdown reports to stop regressions.

Guides users through business-focused Discord bot generator tasks, offering automation patterns, workflow tips, and production-ready code aligned with best practices for email, spreadsheet, and process optimizations.

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

Orchestrates PyTorch-native TorchTitan 4D parallelism (FSDP2, TP, PP, CP) for large-scale LLM pretraining, scaling from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing to boot Llama 3.1, DeepSeek V3, or custom models.

This skill provides comprehensive guidance on implementing distributed tracing using industry standards like OpenTelemetry and tools such as Jaeger/Tempo. It enables developers to monitor the end-to-end lifecycle of a request across multiple microservices. Use this skill to debug latency issues, visualize complex service dependencies, pinpoint performance bottlenecks, and accurately trace error propagation in highly distributed systems.

Provides Django testing strategies combining pytest-django, factory_boy, DRF helpers, mocking, and coverage so teams can adopt TDD workflows for models, views, serializers, and APIs.

Automates Django view generation by guiding through best practices, producing production-ready code, and validating backend-focused outputs whenever users mention related keywords or request assistance.

Automates Docker Compose setup and best-practice guidance for DevOps basics, producing production-ready configurations and validating them against common standards.

Automates Docker Hub workflows through the Composio MCP integration, letting teams list organizations, create orgs and repositories, manage members and teams, and configure image-push webhooks for predictable deployments.

Automates dockerfile authoring with best practices for DevOps basics, guiding users from containerization patterns to CI/CD-ready configurations while validating outputs against standards.