Alptuğ Harun

Audits third-party Agent Skills, MCP-adjacent skill packs, and installable AI-agent instructions before installation. Use when a user wants to install, recommend, fork, adapt, or trust a skill for Claude Code, Codex, Gemini CLI, Cursor, or another Agent Skills-compatible runtime.

Rewrites AI-sounding, generic, repetitive, or over-polished content into a natural human voice while preserving facts, intent, brand positioning, and platform fit. Use for captions, scripts, articles, social posts, website copy, and editorial drafts.

Turns public or user-provided social comments into evidence-backed audience intelligence: recurring questions, objections, pain points, buying signals, vocabulary, content gaps, and testable content ideas. Use for voice-of-customer research, comment mining, audience research, product-demand research, FAQ discovery, and content planning.

Researches GitHub and open-source demand signals, buyer clarity, recurring-use potential, distribution fit and monetization paths to identify commercially promising products, services, reports or Agent Skills. Use when the user asks what could make money, what to productize, what to sell, or which repository opportunity deserves commercial investment.

Converts one source asset into platform-native content for Instagram, Pinterest, LinkedIn, short-form video, blogs, newsletters, and other channels while preserving the core insight and changing execution for each platform.

Orchestrates creator and social-media work across research, trend analysis, Reels, Pinterest, repurposing, influencer fit, brand voice, and digital visibility. Use when the user asks for an end-to-end creator workflow or is unsure which specialized skill to use.

Researches GitHub discovery signals, fast-rising repositories, repository-search supply, Agent Skill gaps, packaging patterns and monetization opportunities. Use when the user asks what is trending on GitHub, what people appear to want, how to earn more stars, or what useful Agent Skill to build next.

Evaluates creators and influencer partnerships using audience fit, content fit, engagement quality, brand safety, sponsorship history, deliverables, usage rights, attribution, and expected business value. Use for creator shortlists, sponsorship reviews, influencer campaigns, and UGC partner selection.

Turns permitted Google Maps, Places, Places Aggregate and user-owned Business Profile signals into market, content, creator-location, sponsorship and agency insights. Use for local-business research, local content gaps, venue scouting, market-density questions, GBP performance analysis or human-reviewed local partnership discovery.

Researches Google Maps, Places, Business Profile, geospatial AI, MCP, ChatGPT, Claude and Agent Skill opportunities to identify under-served map workflows. Use when the user asks what Maps-related product, skill, automation or repository to build next.

Reviews Google Maps, Places, Street View and Business Profile workflow designs for scraping, storage, caching, attribution, ownership and data-use risks. Use before implementing or publishing a map-data automation, lead workflow, local-intelligence tool or Maps-based Agent Skill.

Converts a validated open-source or Agent Skill opportunity into a staged monetization plan covering free core value, services, hosted SaaS, paid reports, GitHub Sponsors, Marketplace distribution and premium companion products. Use after demand or user value has been established and the user asks how to turn the project into revenue.

Builds evidence-aware Pinterest keyword maps, seasonal opportunity clusters, board architecture, pin concepts, visual-series plans, and website traffic paths. Use for Pinterest research, visual search, trend planning, pin systems, and Pinterest-to-site growth.

Researches Pinterest Trends, seasonality, visual-search opportunities, Pinterest automation tools and destination-fit gaps to identify evidence-backed Pin clusters and growth opportunities. Use when the user asks what to publish on Pinterest, what is rising, what Pinterest automation to build, or how to turn Pinterest discovery into website traffic.

Turns a content idea, trend, article, product, or research insight into a platform-native short-form vertical video plan with hook, spoken script, shot list, visual direction, edit rhythm, CTA, cover, and measurement criteria.

Converts evidence-backed trend signals, outlier posts, audience language, and competitor patterns into original platform-native content tests without copying a source's unique expression. Use after trend research, creator teardown, comment mining, or outlier analysis.

Finds and deconstructs recent high-performing social content, outliers, formats, hooks, audience reactions, and emerging opportunities. Use when the user asks what is trending, viral, overperforming, worth copying structurally, or likely to become a content opportunity.