Adversarial second-opinion code review of the current pull request, run by an LLM from a DIFFERENT model family than the one that wrote the code. Same-family review (the coding agent reviewing its own work) shares blind spots; this skill breaks that echo chamber by handing the PR to a configurable out-of-family reviewer (Anthropic Opus, Google Gemini, OpenAI GPT, or anything on OpenRouter) and surfacing a strict verdict (clean / advisories_only / blocker) with findings and missed requirements. Optionally pulls the ticket / acceptance criteria from a Plane, Linear, or Jira MCP server (or a linked GitHub issue) so the reviewer checks the diff against the actual contract. Trigger whenever the user asks to "adversarially review this PR", "get a second opinion on this branch", "review my PR with a different model", "have Gemini/Opus/GPT review this", "out-of-family code review", or wants an independent model to check a pull request before merge. Also trigger for: "cross-check this diff with another model", "run ad
Sentiment-driven market analysis skill that mines Reddit communities to understand how a specific persona perceives a product or feature, then runs a structured PRO vs. AGAINST agent debate grounded in real community data, and produces a ranked minimum feature list to convert skeptics. Trigger whenever the user asks "Would [persona] be interested in [product/feature]?", "What would it take to convince [audience] to adopt [X]?", "What are the blockers for [user type] to buy [product]?", or wants persona-driven Reddit sentiment analysis, product-market fit research, market validation, or a debate between advocates and skeptics. Also trigger for: "run a sentiment analysis on Reddit about X", "what does Reddit think about Y", "debate pros and cons of Z for [persona]".