perplexity
Perplexity AI research assistant with real-time web search, source citations, and optimized UK-centric prompts. Access live web data, current events, market research, and comprehensive analysis backed by verified sources.
Perplexity AI research assistant with real-time web search, source citations, and optimized UK-centric prompts. Access live web data, current events, market research, and comprehensive analysis backed by verified sources.
Reviews watchOS code for app lifecycle, complications (ClockKit/WidgetKit), WatchConnectivity, and performance constraints. Use when reviewing code with import WatchKit, WKExtension, WKApplicationDelegate, WCSession, or watchOS-specific patterns.
Process and manipulate images with format conversion (PNG→JPG→WebP→GIF), resizing, cropping, filtering, batch operations, and image metadata extraction. Use for thumbnail generation, image optimization, format conversion, watermarks, and bulk image processing tasks.
Reviews WidgetKit code for timeline management, view composition, configurable intents, and performance. Use when reviewing code with import WidgetKit, TimelineProvider, Widget protocol, or @main struct Widget.
Browser automation, web scraping, and visual testing with Playwright on Display :1. Use for navigating web pages, clicking elements, filling forms, taking screenshots, executing JavaScript, and visual verification of web applications. Visual access available via VNC on port 5901.
Summarize web content including YouTube videos with semantic topic links for Logseq and Obsidian. Uses Z.AI service (port 9600) for cost-effective summarization. Supports markdown, plain text, and note-taking formats.
Use when there are 2+ consecutive failures, repeated errors, or the work feels stuck - pauses implementation, switches to root-cause investigation, gathers evidence, and resumes only after a verified plan and options
Use this skill to start work on a GitHub issue. It synthesizes all relevant context (specs, retrospective, issue details) using the Gemini CLI to generate a step-by-step implementation plan, then creates a feature branch to begin work. Triggers include "start work on issue
Use this skill when dealing with complex commits involving multiple change types, when unsure how to split changes into atomic commits, when determining appropriate scope for a commit, when writing commit body for non-trivial changes, or when the user asks about commit best practices, semantic versioning impact, or conventional commit format details.
Use when user says "brainstorm", "let's design", "help me think through", "I have an idea", "before I start coding", "explore approaches", or wants to refine rough ideas into designs through collaborative questioning.
Systematic problem-solving techniques for stuck-ness. Techniques: simplification cascade (complexity spirals), collision-zone thinking (innovation blocks), meta-pattern recognition (recurring issues), inversion exercise (assumption constraints), scale game (uncertainty). Actions: simplify, analyze, recognize patterns, invert assumptions, scale thinking. Keywords: problem solving, complexity spiral, innovation block, stuck, simplification, meta-pattern, assumption inversion, scale uncertainty, breakthrough thinking, root cause, systematic analysis, Microsoft Amplifier, debugging approach, creative solution. Use when: complexity spiraling, hitting innovation blocks, seeing recurring patterns, constrained by assumptions, uncertain about scale, generally stuck on problems.
Comprehensive incident response skill for security incident detection, containment, investigation, and recovery. Includes alert triage, severity classification, evidence collection, root cause analysis, and post-incident documentation with automated playbook execution.
Use when user asks "what does this codebase do", "explain the architecture", "how does this project work", "analyze this repo", "understand the code", or wants to learn how an unfamiliar codebase is structured.
Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
Manages GitLab commits. Use for listing, creating, reverting, or querying commit details/diffs/comments. Triggers: commit history, changes, reversions.
Use to analyze failures in GitHub pipelines or jobs.
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
Business process analysis, requirements documentation, and workflow optimization for retail, supply chain, and technology organizations
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.