Pre-build reality check. Scans GitHub, HN, npm, PyPI, and Stack Overflow for existing competitors before you build. Use when starting a new project, evaluating a side project idea, or doing a build-vs-buy decision.
Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality checks.
Turns concrete tasks from seven fixed public sources into a one-off or daily feed of interesting complete-task Agent ideas. Use when the user wants Agent ideas from Upwork-style marketplaces or chinese-independent-developer, especially when every source must contribute three concise, unseen ideas without validation or…
Walk the clerk.com market map — competitors, substitutes, segments, buyers and the evidence behind every claim. Use when asked who competes with clerk.com, for a battlecard, an ecosystem overview, why an entity is on this map, or how much of it to trust. Every answer should carry the note's receipts.
Map the market around any company from its domain alone — competitors, substitutes, the infrastructure it sits on, the directories that list it, the publications that cover it and the communities its buyers argue in — with a source and a reason on every entry. Use this skill whenever someone wants a competitive…
Research-backed business strategy advisor using MBA frameworks — no MBA required. Use when users discuss business viability, revenue models, market opportunity, pricing, competitive analysis, growth planning, or any business problem that needs structured thinking. Also trigger when users mention frameworks by name…
End-to-end feature pipeline with ONE human gate before code — Research (grilling rounds + parallel code scouts; a raw concept is stress-tested before convergence), then autonomous Plan → Implement → Review — top-tier planning over mapped context, cheap workers in parallel waves, a verifier per wave, an independent…
Spec-driven feature work in 4 phases — Specify, Design, Tasks, Execute — sized by complexity; atomic tasks and commits, Execute delegated to workers in waves plus an independent Verifier. Triggers on "specify/discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision"…
Write a crash course — a study document, like a short documentary — about a concept, either one registered as debt in .learning/DEBT.md (e.g. "/crash-course DEBT-007") or any topic the user names ("/crash-course event sourcing", "explain properly what this backoff you added actually is", "make me study material on…
Research a rough or consequential request, turn it into a clear brief, compare realistic options, test key assumptions, choose a next step, and produce the files needed to act. Use when a product, feature, system, technology, business, communication, or visual request still needs discovery, evidence, validation, a…
Industry research assistant for general AI agents. Use for industry overviews, industry question decomposition, company or product positioning, industry maps, lifecycle assessment, information source selection, profitability analysis, valuation logic, prosperity indicators, PEST analysis, competitive structure, risk…
Run customer-voice and competitor research through the Adlicio remote MCP server at https://mcp.tryadlicio.com/mcp. Use to scrape comments or reviews from Reddit, YouTube, Amazon, TikTok, Instagram, Trustpilot, app stores, Steam, Hacker News, Quora, Blind, Shopify and other public pages; to search Reddit, YouTube and…
Research what real people say about a topic, product, company, or problem by finding Reddit discussions and extracting structured comments or reviews from supported community platforms. Use for customer-voice research, pain-point mining, sentiment and theme analysis, competitive intelligence, objection discovery…
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MIT
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