CognivAgent

Queries GPT-5.2 for high-reasoning code analysis, root-cause bug fixing, and complex coding questions. Provides P0-P3 prioritized analysis reports, architecture audits, and security reviews with configurable reasoning effort (none/low/medium/high/xhigh). 400K context, 128K output.

Queries Gemini 3 Flash for high-speed code analysis, generation, and complex coding questions. Provides P0-P3 prioritized analysis reports, architecture audits, and code generation with configurable thinking levels (minimal/low/medium/high). 1M context, 64K output. Pro-level intelligence at Flash pricing.

Guides users through video transcription workflow from input to output. Transcribes local video files and YouTube URLs using gpt-4o-transcribe. Use when users want to transcribe videos, audio files, YouTube content, or need help with media-to-text conversion.

Identifies and merges duplicate entities in Knowledge Graph projects. Use after extraction to consolidate duplicate entities, or when users ask about potential duplicates. Supports automatic merging for high-confidence matches and user confirmation for medium-confidence candidates.

Creates and bootstraps Knowledge Graph projects from video transcripts. Extracts entities (people, organizations, concepts) and relationships into searchable graphs. Use when users want to build a knowledge graph, extract entities, analyze connections between people/organizations, or select Option 5 after transcription.

Helps users discover patterns and insights in their Knowledge Graphs. Use when users ask about important entities, connections, patterns, or want to understand what they can do with their graph. Triggers proactively after extraction to show what's possible.

Guides users through saving generated content (summaries, notes, key points) to professionally formatted and themed files. Use when users want to save, export, or persist content generated during the session, choose Option 4 after transcription, apply styling/themes to saved content, or explicitly ask to save summaries, notes, or derived content.

Multi-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-overkill recommendations. Use when seeking architectural guidance, code review synthesis, or implementation planning.

Provides structured error handling protocol for all agent operations. Ensures users receive clear error reports, troubleshooting guidance, and actionable next steps. Use when any tool operation fails, encounters an error, or produces unexpected results.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.