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Found 2,024 Skills
Transform a Webwright "Crafted CLI" (the parameterized final_script.py produced by a `webwright craft` run) into a deployed, hosted Intuned project. Use when the user wants to port, convert, host, or deploy a Webwright craft/reusable CLI to the cloud — Intuned is the hosting target — or says "turn this craft into an Intuned project", "host this on Intuned", "host this webwright on the cloud", "deploy this craft to the cloud", "run this webwright in the cloud". Faithfully maps one parameterized craft function to one Intuned `automation` API, scaffolds the project, runs it locally, deploys it, and verifies a standalone platform run.
Heuristic security scan of installed skills — prompt-injection phrases, hidden unicode instructions, credential-store access, network-pipe-to-shell and payload-smuggling patterns. Use when the user asks 'are my skills safe', wants to scan skills for prompt injection or malware patterns, or before trusting a newly installed skill. Trigger with '/janitor-security'.
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".
Parse, analyze, and process SARIF (Static Analysis Results Interchange Format) files. Use when reading security scan results, aggregating findings from multiple tools, deduplicating alerts, extracting specific vulnerabilities, or integrating SARIF data into CI/CD pipelines.
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.
Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact. Use when the user wants to add, fix, audit, or scale schema markup (JSON-LD) for rich results. This skill evaluates whether schema should be implemented, what types are valid, and how to deploy safely according to Google guidelines.
Comprehensive guide for architecting Flutter applications following MVVM pattern and best practices with feature-first project organization. Use when working with Flutter projects to structure code properly, implement clean architecture layers (UI, Data, Domain), apply recommended design patterns, and organize projects using feature-first approach for scalable, maintainable apps.
Help users assess and achieve product-market fit. Use when someone is trying to determine if they have PMF, measuring user engagement and retention, running the Sean Ellis survey, or figuring out if they should scale or keep iterating.
Help users build and scale product operations functions. Use when someone is scaling a product team, struggling with cross-functional coordination, needs to standardize product processes, or wants to improve how insights reach product teams.
Manage project dependencies across languages including npm install, package versioning, dependency conflicts, security scanning, and lock files. Use when dealing with dependencies, version pinning, semantic versioning, or resolving conflicts.
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on reliability and performance.