Lakshya Maharshi
Community@LakshyaMaharshi
I'm a Fullstack Developer and Data Analyst
Agent Skills by Lakshya Maharshi
Showing 3 vetted skills indexed across 1 GitHub repositories.
LakshyaMaharshidissertation-planner
Plans dissertation chapter structure, argument beats, and literature engagement from existing source material.
LakshyaMaharshiplagiarism-checker
Scans song lyrics for phrases matching existing songs using web search and LLM knowledge.
LakshyaMaharshihumanizer
Rewrite text to remove AI writing patterns and add natural voice.
Frequently Asked Questions About Lakshya Maharshi
FAQPage SchemaWhat tasks can I accomplish with Lakshya Maharshi's skills?▼
You can plan dissertation chapter structure and argument arcs, scan song lyrics against existing tracks using web search before release, and humanize text by removing AI-isms and restoring authentic voice. Each skill is user-invocable with simple arguments like chapter-id or album-name.
Who should use these writing and research skills?▼
Graduate students and researchers structuring dissertations, songwriters and producers verifying lyric originality before release, and writers or editors refining prose voice. The skills suit anyone needing academic planning, plagiarism screening, or natural-sounding text revision.
How do I invoke the plagiarism-checker skill?▼
Pass an album-name and optional track-slug as arguments. The skill runs with the sonnet model at high effort, using Read, Glob, Grep, WebSearch, WebFetch, and the bitwize-music-mcp integration to detect phrases matching existing songs.
Are these skills free and open source?▼
The humanizer skill is MIT-licensed, authored by Siqi Chen and ported by Hermes Agent, with source at github.com/blader/humanizer. It supports Linux, macOS, and Windows. Licensing for dissertation-planner and plagiarism-checker is not specified in the manifest.
What prerequisites do these skills require?▼
The plagiarism-checker requires web search and fetch access plus the bitwize-music-mcp integration. The humanizer runs cross-platform on Linux, macOS, and Windows. The dissertation-planner only needs a chapter-id argument; no additional dependencies are listed in the manifest.