Promptify

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.

Optimises SEO and technical foundations for Next.js App Router apps, covering sitemaps, robots, meta tags, structured data, canonical URLs, redirects, indexing policy, hreflang and internationalisation, Core Web Vitals, programmatic SEO, security headers, privacy/consent, and error-page resilience. Use when asked to "improve SEO", "add a sitemap", "fix meta tags", "add structured data", "set canonical URLs", "set up redirects", "fix soft 404s", "add hreflang", "add security headers", "add cookie consent", "improve Core Web Vitals", "audit SEO", or "build SEO pages at scale". Performs no visual redesigns; for visual direction use ui-design, for page-level UI quality use ui-audit, for writing the article itself use the external ghostwriter skill with platform blog. Does not cover llms.txt or AI-agent readability; research current specs for that work.

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

CI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.

Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.