tough-tongue/ttai-community
Community-supported skills for Tough Tongue AI: build PM, consulting-case, system design, and MBA mock interviews, negotiation practice, slide-driven scenarios, and the study guides that go with them.
Turn a consulting case (casebook PDF page range, case doc, or pasted text) into an interviewer-led Tough Tongue AI mock case interview with a polished exhibit deck: builds the deck with the Gamma MCP connector, pauses for the user's published Google Slides embed link, then creates the scenario with slide-cued interview flow, hidden answer keys, a phase-by-phase study guide, and a weighted rubric. Use when the user says "turn this case into a case interview", "build a consulting case scenario", "mock case interview for Case N", "interviewer-led case with exhibits", or hands over a casebook case to practice.
Turn a case-interview practice case (from a Kindle workbook, PDF casebook, or pasted text) into a detailed, phase-by-phase Word study guide: original notes and reference answers, plus any exhibit or graph recreated as a real chart. Use when the user asks for a study guide, notes, or write-up of a specific casebook case ("make notes on Case 4", "do the same for Case 7", "turn this case into a study guide").
Research an MBA program's application essays (written prompts, video essays, optional and reapplicant essays) across the school's own site and blog, admissions officers on record, applicant-reported question banks, and the major admissions consultants (Aringo, Stacy Blackman, mbaMission, Vantage Point, Leland, Menlo, Clear Admit, Accepted, Personal MBA Coach, Sam Weeks, Stratus), then produce a single tiered, source-tagged markdown guide. Use this whenever the user names a business school and asks for an essay guide, essay research, video essay questions, "what does the adcom look for", "make a guide like the Kellogg one", or anything about MBA application essays for a specific school, even if they do not say "guide" or "skill".
Turn a two-party negotiation case file (public facts + each side's private brief, optionally a hidden compatible-interest twist) into a Tough Tongue AI negotiation scenario. The AI plays a guarded counterpart with a resistance and phased-disclosure pattern; the student plays the other side. Use when the user provides an MBA-style negotiation case, a case study PDF/note, or says "turn this case into a negotiation scenario", "Ugli Orange style scenario", or "two-party negotiation exercise".
Research a named MBA school and create a Tough Tongue AI one-way video essay / video interview practice scenario (AI is a recording, not an interviewer). Authors timer-safe ai_instructions, applicant-facing user_instructions with answer frameworks, AdCom rubrik plus hand-authored processed_rubrik, avatar, and analysis wiring. Use when the user says "MBA video essay", "MBA video interview practice", "Kellogg/Sloan/Yale/INSEAD video prompts", "create video essay for <school>", or provides a school plus format notes.
Turn any PM interview case study (pasted text, URL, or blog/book excerpt) into a Tough Tongue AI mock-interview scenario. Classifies the case into one of six PM question types (Product Design, Product Strategy, Analytical, Execution, Technical, Behavioral), authors a full reference solution following that type's approach, and creates the scenario with ttai:create_scenario. Use when the user says "turn this case into a scenario", "make a PM scenario", "build a PM interview scenario", "PM mock interview for...", or pastes a PM case question or case study.
Build or convert a Tough Tongue AI scenario around an embedded Google Slides deck: generate the deck with the Gamma connector, pause for the user's published Google Slides embed link, then wire the scenario with a slide map the agent can navigate. Use whenever the user wants a slide-driven or slide-specific scenario, says "use slides instead of cards", "the card is not interesting", "create slides for this scenario", "embed this deck", or hands over a Google Slides /pubembed link for a scenario — even if they don't say "skill" or name the two-step process.
Turn system design interview material (YouTube transcripts, articles, book chapters, notes, URLs) into a complete Tough Tongue AI system design mock interview in the two-surface format: an interviewer-controlled notepad plus a candidate-owned architecture board. Authors the study guide, interviewer brain, hint ladder, and rubric, then creates the scenario with ttai:create_scenario. Use when the user says "create a system design interview", "turn this into a system design scenario", "new SDI for <question>", "board interview for <question>", or feeds interview prep material and asks for a scenario.
Build system design interview materials for a named problem (e.g. "Design Twitter Search", "Design a Rate Limiter", "Design Uber") from source books such as Alex Xu's System Design Interview and Grokking the System Design Interview, filling gaps with web research. Produces (1) a student-facing study guide — problem, why it is asked, real-world use, requirements, worked estimation, API/data model, architecture diagrams, deep dives, trade-off tables, practice questions with hint ladders, self-assessment checklist, glossary — rendered to a styled PDF, and (2) an interviewer-facing scenario context pack usable as input to a Tough Tongue AI (or similar) mock-interview scenario. Use this skill whenever the user asks for a reading guide, study material, context pack, scenario pack, interview prep doc, or "make a PDF like the last one" for any system design topic, mentions Xu/Grokking chapters, or wants to turn a system design chapter into an AI interview scenario — even if they don't say "guide" or "PDF".