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Found 534 Skills
Turn any MCP, OpenAPI, or GraphQL server into a CLI at runtime with zero codegen, saving 96-99% of tokens wasted on tool schemas
Interactive setup guide for using Infisical as a secret management tool in your projects. Helps users integrate Infisical into local development (CLI), Docker containers (build-time and runtime secret injection), CI/CD pipelines (GitHub Actions, GitLab CI), Kubernetes (Operator + CRDs), and application code (Node.js, Python, Go, Java, .NET, Ruby SDKs). Also walks through choosing and configuring machine identity auth methods (Universal Auth, AWS Auth, Kubernetes Auth, OIDC, etc.). Use this skill whenever someone asks about: using Infisical, injecting secrets, infisical run, infisical init, connecting their app to Infisical, Docker secrets, Kubernetes secrets operator, machine identity setup, SDK initialization, CI/CD secret injection, or 'how do I get my secrets into my app'.
Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural anomalies depending on what signals are present. Walks the span tree from symptom to root cause. Use when user says "what's wrong with my app", "why is my eval failing", "analyze errors", "root cause analysis", "diagnose failures", or wants to understand production failure patterns.
Performance review and testing: evaluate Core Web Vitals, page load times, bundle sizes, runtime performance, resource optimization, and rendering efficiency with browser-based measurement and benchmarking.
Execute and monitor Harness pipeline runs via MCP tools. Find pipelines, provide runtime inputs, trigger executions, monitor progress, handle approvals, retry failures, and abort running or stuck executions. Use when asked to run a pipeline, execute a deployment, trigger a build, start a pipeline, deploy a service, check execution status, approve a pipeline, or abort/stop/interrupt executions. Trigger phrases: run pipeline, execute pipeline, deploy, start build, trigger pipeline, check execution, approve deployment, retry failed pipeline, abort execution, stop pipeline, interrupt execution, kill stuck pipeline.
Root-cause investigation for bugs, regressions, suspicious runtime behavior, failed automations, and unexpected outcomes.
Review Java code for language and runtime conventions: concurrency, exceptions, try-with-resources, API versioning, collections and Streams, NIO, and testability. Language-only atomic skill; output is a findings list.
Learn unfamiliar implementation patterns and fill in missing pieces when building features in a specific environment (e.g., data fetching in a particular runtime). Use when you need to discover or confirm patterns for an unimplemented area; implementation uses erudita and osgrep.
Next.js App Router frontend stack workflow: Server Components-first, Prisma server-only (Node runtime), Tailwind + shadcn/ui, TanStack Query, React Hook Form + Zod, and conventions for work under frontend/. Use when implementing or refactoring UI, routes, data fetching, mutations, or forms in this stack.
Java 21 language and runtime patterns for modern, safe code. Trigger: When writing Java 21 code using records, sealed types, or virtual threads.
Create software-engineering planning artifacts with triaged depth: future-state runtime call stacks, future-state runtime call stack review, and implementation planning/progress for all sizes, plus proposed design docs for medium/large scope. Includes requirement clarification, call-stack review, and iterative refinement.
Use when you need to apply Java secure coding best practices — including validating untrusted inputs, defending against injection attacks with parameterized queries, minimizing attack surface via least privilege, applying strong cryptographic algorithms, handling exceptions securely without exposing sensitive data, managing secrets at runtime, avoiding unsafe deserialization, and encoding output to prevent XSS. Part of the skills-for-java project