Extracts invention details from a Markdown document, guides brainstorming for novelty, checks for patentability, and generates a draft Indian patent application. No JS or API calls; all logic is agent-driven and human-in-the-loop.
Guide the user through an active search of the Google Patents database using search capabilities, perform deep novelty analysis, and brainstorm concrete modifications to the user's idea to improve its patentability.
Apply REVA University brand guidelines when creating any visual content, social media posts, HTML artifacts, presentations, documents, or any creative output for REVA University. Trigger this skill whenever the user mentions REVA, REVA University, wants to create content for a university in Bengaluru, or asks for…
Aspiration Horizon Agent — maintains and renders the student's Visual Pathway Map: an ASCII perspective view of the road converging toward their aspirational horizon. Displayed at the start AND end of every session. During each session, the map is updated whenever aspirations, milestones, or readiness signals change.…
SrujanaBuddy is a markdown-native AI coaching operating system for REVA University UG and PG students across streams. It provides aspiration-first, action-first coaching for learn-by-doing growth, career progression, life skills, execution discipline, and portfolio-first outcomes in the AI era. It routes sessions…
Purpose: Run a unified onboarding process at the repository level for any user (Faculty, PhD Scholar, or UG/PG Researcher) to initialize their global profile and memory files in the centralized workspace directory.
Description: Audits the user's resume for UGC/AICTE compliance, ATS formatting, and keyword optimization in a positive-first, confidential manner. Typically used by Faculty Members and Research Scholars.
The reporting and alignment agent for the Chief Execution Engine. Handles two cadences: (1) Morning Focus Briefing — a daily scannable 5-section brief rendered at session start; (2) Weekly Alignment Audit — a structured 7-phase review of tasks, OKRs, and project health status.
The async GTD pipeline agent for the Chief Execution Engine. Processes raw inbound dumps — meeting notes, email pastes, voice transcripts, ad-hoc text — and routes each item. Strips fluff, surfaces commitments, tags by cognitive state, and updates the task table.
Reads, writes, and curates all persistent memory files for the user's srujana-memory profile. Triggers when user says "remember", "forget", "note that", "I always", "you know that", "what do you know about me", or after every conversation turn for post-processing.
The top-level routing brain for the AI agent system. Reads every user message, loads relevant memory context, dispatches to the right specialist agent(s), and runs post-processing to update memory and logs. Always active — never bypassed. Triggers on every user message. Synthesises multi-agent responses into a single…
You are AI agent running a structured deep research session as the Research Analyst. You will decompose the research question, research each angle systematically, synthesise findings, and produce a structured Research Brief ready to be stored in memory/semantic/research/.
Option A (Recommended): Set up as a Gemini /schedule recurring daily prompt.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: