PrakharMNNIT
@PrakharMNNIT
Public Skills
Tech Tutor (Ren Nakamura Persona)
by PrakharMNNIT
Intuition-first tech mentor who makes complex concepts click through visuals, analogies, and the 6-layer explanation framework. Use this skill when the user asks to "explain", "tutor", "teach", "mock interview", or needs intuition regarding DSA, System Design, or AI/ML.
transcript-pipeline
by PrakharMNNIT
This skill should be used when the user asks to "process this transcript", "convert lecture to notes", "run transcript pipeline", "generate class tutorial from Zoom captions", "validate transcript coverage", or "enrich class resources" (Notion/Canva/Drive links) for bootcamp notes.
lecture-alchemist
by PrakharMNNIT
"Transform raw lecture transcripts (Zoom, YouTube, etc.) into structured, retention-optimized study notes. Use when the user provides a lecture transcript, class recording text, or asks to process/convert lecture notes. Handles WebDev, AI/ML, Web3, DSA, and general tech domains. Produces hierarchical topic breakdowns, cleaned code artifacts, intuition builders, flashcards, spaced repetition plans, and actionable study materials. Trigger phrases: 'process this transcript', 'convert lecture to notes', 'lecture notes', 'transcript to study material', 'Lecture Alchemist'."
transcribe-refiner
by PrakharMNNIT
"Clean and reconstruct raw auto-generated captions (Zoom, YouTube, Teams, Google Meet, Otter.ai, etc.) into readable, coherent transcripts. Use when the user provides raw caption files (.txt, .vtt, .srt), meeting transcripts with timestamps and speaker tags, or asks to clean up/refine a transcript. Handles: timestamp removal, speaker tag normalization, filler word removal, broken sentence reconstruction, transcription error correction, paragraph formation. Preserves every piece of substantive content while removing noise. Trigger phrases: 'clean this transcript', 'refine captions', 'fix this transcript', 'process Zoom captions', 'clean up meeting notes'."
svg-logo-designer
by PrakharMNNIT
"Elite SVG logo design intelligence. Creates professional hand-crafted SVG logos, brand marks, icons, wordmarks, lettermarks, emblems, abstract marks, and visual identities. Uses a rigorous multi-phase discovery interview (2-3 rounds) to extract brand DNA, emotional tone, and design intent before generating. Produces multiple concepts with layout variations, full color systems, design tokens (CSS custom properties, JSON, Figma-ready specs), and optimized SVG using advanced techniques (gradients, masks, filters, blend modes, animations). Self-evaluates every concept against a 7-criterion quality rubric. Structured iterative refinement loop. Use when creating logos, brand marks, icons, symbols, visual identities, wordmarks, lettermarks, emblems, mascot marks, scalable vector branding, brand guidelines, or design systems from logos."
idea-capturer
by PrakharMNNIT
Provides a structured system for capturing fleeting thoughts, developing raw ideas into actionable concepts, and organizing your creative thinking.
concept-cartographer
by PrakharMNNIT
"Generate visual concept maps, flowcharts, architecture diagrams, and relationship diagrams from structured notes or technical content using Mermaid syntax. Use when the user has lecture notes, study materials, or technical documentation and wants visual diagrams to aid understanding. Produces multiple diagram types: concept hierarchy maps, process flowcharts, architecture diagrams, comparison matrices, timeline diagrams, and mind maps. Trigger phrases: 'create diagrams from notes', 'visualize concepts', 'concept map', 'make flowcharts', 'diagram this', 'visual notes'."
chronicle
by PrakharMNNIT
"Personal journal intelligence that transforms raw, unorganized thoughts into structured diary entries with psychological analysis. Use when the user provides journal entries, diary text, stream-of-consciousness writing, voice memo transcriptions, or asks to process daily thoughts into a structured format. Produces narrative entries, gratitude extraction, multi-level psychological analysis (surface/medium/clinical), health pattern flags, therapeutic micro-actions, and bridge-to-tomorrow planning. Trigger phrases: 'journal entry', 'diary entry', 'process my thoughts', 'Chronicle', 'daily reflection', 'write up my day'."
constellation-team
by PrakharMNNIT
Coordinate a cross-functional star-team workflow (Product Manager, Principal Engineer, Backend, Frontend, QA/Security, DevOps) with mandatory architecture and code-review checkpoints. Use when a request needs end-to-end product delivery, multi-role collaboration, or explicit role-based outputs (PM/PE/Backend/Frontend/QA/DevOps), or when the user asks for "star team", "cross-functional", "full lifecycle", or "multi-role" planning.
backend-principle-eng-python-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for Python services and data systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
backend-principle-eng-java-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for Java services and distributed systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
backend-principle-eng-javascript-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for JavaScript services. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
backend-principle-eng-typescript-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for TypeScript services. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
backend-principle-eng-nodejs-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for Node.js runtime systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
backend-principle-eng-python-ml-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for Python AI/ML systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale ML services and pipelines. Focus: data quality, reproducibility, reliability, performance, security, observability, model evaluation, MLOps."
backend-principle-eng-cpp-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for C++ systems and performance-critical services. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, memory safety, latency, reliability, observability, scalability, operability."
frontend-pe
by PrakharMNNIT
ACTIVATION TRIGGER. Use this skill when the user demands "Ultrafrontend", "High-End UX", "Awwwards Style", or world-class UI design. This skill enforces a design-first workflow with zero-compromise aesthetics.
backend-pe
by PrakharMNNIT
Distinguished Principal Engineer backend/system architecture skill. Use when the user demands "BackendPE", "Supermode", "Antigravity", or requests high-performance, unlimited-context, world-class backend and distributed systems design. This skill maximizes depth, rigor, and production readiness.