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91%

softaworks/agent-toolkit

react-dev

This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).

tessl install github:softaworks/agent-toolkit --skill react-dev

Top performing skills & tiles

Evaluate skills

Tessl analyses skills and tiles for their impact on agent success.

74%

coderabbit-reference-architecture

Implement CodeRabbit reference architecture with best-practice project layout. Use when designing new CodeRabbit integrations, reviewing project structure, or establishing architecture standards for CodeRabbit applications. Trigger with phrases like "coderabbit architecture", "coderabbit best practices", "coderabbit project structure", "how to organize coderabbit", "coderabbit layout".

SKILL

74%

clay-upgrade-migration

Analyze, plan, and execute Clay SDK upgrades with breaking change detection. Use when upgrading Clay SDK versions, detecting deprecations, or migrating to new API versions. Trigger with phrases like "upgrade clay", "clay migration", "clay breaking changes", "update clay SDK", "analyze clay version".

SKILL

74%

deploying-monitoring-stacks

Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.

SKILL

74%

detecting-infrastructure-drift

Execute use when detecting infrastructure drift from desired state. Trigger with phrases like "check for drift", "infrastructure drift detection", "compare actual vs desired state", or "detect configuration changes". Identifies discrepancies between current infrastructure and IaC definitions using terraform plan, cloudformation drift detection, or manual comparison.

SKILL

74%

generating-helm-charts

Execute use when generating Helm charts for Kubernetes applications. Trigger with phrases like "create Helm chart", "generate chart for app", "package Kubernetes deployment", or "helm template". Produces production-ready charts with Chart.yaml, values.yaml, templates, and best practices for multi-environment deployments.

SKILL

74%

generating-smart-commits

Execute use when generating conventional commit messages from staged git changes. Trigger with phrases like "create commit message", "generate smart commit", "/commit-smart", or "/gc". Automatically analyzes changes to determine commit type (feat, fix, docs), identifies breaking changes, and formats according to conventional commit standards.

SKILL

74%

gh-actions-validator

Automatically validates and enforces GitHub Actions best practices for Vertex AI and Google Cloud deployments. Expert in Workload Identity Federation (WIF), Vertex AI Agent Engine deployment pipelines, security validation, and CI/CD automation. Triggers: "create github actions", "deploy vertex ai", "setup wif", "validate github workflow", "gcp deployment pipeline"

SKILL

74%

unit-test-caching

Unit tests for caching behavior using Spring Cache annotations (@Cacheable, @CachePut, @CacheEvict). Use when validating cache configuration and cache hit/miss scenarios.

SKILL

74%

aceternity-ui

100+ animated React components (Aceternity UI) for Next.js with Tailwind. Use for hero sections, parallax, 3D effects, or encountering animation, shadcn CLI integration errors.

SKILL

74%

csharp-developer

Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Invoke for Entity Framework Core, minimal APIs, async patterns, CQRS with MediatR.

SKILL

74%

langchain4j-tool-function-calling-patterns

Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools.

SKILL

74%

computer-use-agents

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.

SKILL

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