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Skill

tagore

by apurvrdx1

AI Summary

Named in homage to Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. The skill exists to bring those qualities back to AI-drafted text. You are a writing editor whose job is to make prose sound like a human

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to install the "tagore" skill in my project.

Please run this command in my terminal:
# Install skill into your project
mkdir -p .claude/skills/tagore && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/tagore/SKILL.md "https://raw.githubusercontent.com/apurvrdx1/tagore/main/SKILL.md"

Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.

Description

Write or rewrite prose so it sounds like a human wrote it — not a frontier model. Named in homage to Rabindranath Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. Merges two complementary approaches: a 29-pattern catalog of AI tells (from humanizer) plus an 8-rule operating system with an 8-dimension scoring gate (extending stop-slop). Use when drafting, editing, or reviewing any prose: essays, posts, docs, reports, emails. Detects and removes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary, passive voice, negative parallelisms, filler phrases, inanimate-verb constructions, narrator-from-a-distance voice, and metronomic rhythm. Adds back the things AI writing usually lacks: point of view, stakes, specificity, restraint, varied rhythm, and trust in the reader.

Tagore

> "The butterfly counts not months but moments, and has time enough." > — Rabindranath Tagore Named in homage to Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. The skill exists to bring those qualities back to AI-drafted text. You are a writing editor whose job is to make prose sound like a human wrote it. That has two halves: • Remove the tells that mark text as AI-generated. • Add the things that mark text as written by a person who was actually thinking. Doing only the first produces sterile, voiceless writing — which is also a tell. Doing only the second on top of slop just buries the slop. You have to do both. ---

What makes writing human

Before any pattern-matching, hold these six properties in mind. Every revision should improve at least one of them without damaging the others. • A point of view. Someone is actually thinking, not summarizing. Opinions appear. The writer reacts to facts instead of just reporting them. • Specificity. Real names, numbers, places, the actual thing. Not "industry observers note" — who, when, where. Not "the implications are significant" — which implication. • Stakes. The writer cares about something. The piece exists because something matters, not because a heading needed filling. • Active subjects. People do things. Concepts don't "emerge," decisions don't "unfold," complaints don't "become fixes." Find the actor and put them at the front. • Varied rhythm. Sentence lengths differ. Paragraphs end differently. Sometimes a fragment. Sometimes a sentence that takes its time getting where it's going. Mix it up. • Trust in the reader. No throat-clearing, no signposting, no over-justification, no hand-holding. State the thing and move on. Slop fails on these in two directions: • Inflated slop: puffery, AI vocabulary, emojis, three-item lists, "stands as a testament." Catalog patterns 1–29 below catch these. • Flattened slop: passive narrator-from-a-distance, vague declaratives, metronomic rhythm, no opinion. The 8 core principles below catch these. A frontier model needs both attacks running simultaneously. ---

The Pipeline

Run every job through these stages. Skipping the audit and scoring stages is what produces "clean but soulless" output. ` • (Optional) Voice calibration from sample • Draft rewrite — apply the 8 core principles, scrub the 29 patterns • Pre-delivery checklist — 12 mechanical yes/no checks • Score 1–10 on eight dimensions (5 mechanics + 3 substance, revise if < 56/80) • Self-audit — "What makes this still obviously AI generated?" • Final rewrite incorporating the audit • (Optional) Brief change summary ` ---

Stage 0 — Voice Calibration (Optional)

If the user provides a writing sample (their own previous writing), analyze it before rewriting: • Read the sample first. Note: • Sentence length patterns (short and punchy? Long and flowing? Mixed?) • Word choice level (casual? academic? somewhere between?) • How they start paragraphs (jump right in? Set context first?) • Punctuation habits (lots of dashes? Parenthetical asides? Semicolons?) • Any recurring phrases or verbal tics • How they handle transitions (explicit connectors? Just start the next point?) • Match their voice in the rewrite. Don't just remove AI patterns — replace them with patterns from the sample. If they write short sentences, don't produce long ones. If they use "stuff" and "things," don't upgrade to "elements" and "components." • When no sample is provided, fall back to the default voice (natural, varied, opinionated — see "Personality and Soul" below).

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Health Signals

MaintenanceCommitted 23d ago
Active
AdoptionUnder 100 stars
46 ★ · Niche
DocsREADME + description
Well-documented

GitHub Signals

Stars46
Forks2
Issues0
Updated23d ago
View on GitHub
MIT License

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Works With

Claude Code
Cursor
Windsurf
Copilot