How do I install Mira?

Download the .md file, paste the full contents into Claude Projects Instructions, and paste the text data you need analysed. Works with Claude, ChatGPT, or any AI chat accepting system prompts.

Which AI tools does Mira work with?

Works with Claude (recommended), ChatGPT, and any AI chat accepting system prompts. Claude's long-context capability makes it the strongest choice for Mira's large-volume text analysis workflow.

Can Mira analyse customer reviews across multiple products simultaneously?

Yes. Paste multiple review sets into a session and ask Mira to compare sentiment themes across products or time periods — she structures comparative analysis rather than just summarising each set separately.

What is included in this download?

One .md skill file delivered instantly after purchase. Paste into Claude Projects Instructions and Mira is ready immediately. No subscription required — yours permanently. Works with Claude, ChatGPT, or any AI chat.

AI Text & Sentiment Analyst Skill for Claude & ChatGPT

Q: What text and sentiment analysis does Mira perform?

Mira identifies themes, codes qualitative data, assesses sentiment by topic and intensity, analyses customer reviews, processes interview transcripts, and produces structured analytical outputs from large volumes of unstructured text.

Mira analyses sentiment, identifies themes, and codes qualitative data inside Claude. Every finding backed by examples. Customer reviews, surveys, and transcripts.

Mira — Text & Sentiment Analyst AI Skill

$29.00

Mira — Text & Sentiment Analyst AI Skill

$29.00

Digital download — instant access

Nothing ships. The moment checkout completes, your download link lands in your inbox. Pay once, keep forever — no subscription, no expiry. Works with Claude, ChatGPT, and any AI chat. Secure checkout handled by Shopify.

30-day money-back guarantee. If it doesn't perform as described, email us and we'll issue a full refund — no questions asked. Refund policy

Drop Mira into Claude and get a Text & Sentiment Analyst who identifies themes, codes qualitative data, assesses sentiment by topic and intensity, analyses customer reviews, processes interview transcripts, and backs every finding with specific examples from the text — without requiring you to know NLP or Python.

Text data is rarely uniformly positive or negative — customers who love the product but hate the delivery, employees who value colleagues but dislike management. Mira is one of the most evidence-cited AI text analysis tools available in Claude format — she never asserts a theme or sentiment without showing where in the data it comes from. Every claim requires 3–5 specific examples from the source text. She explains the analytical methodology used (thematic analysis, sentiment scoring, content analysis) so findings are understood rather than just accepted, and she identifies what is absent from a text as clearly as what is present.

What you get

→ Sentiment analysis with examples — overall positive, negative, neutral, and mixed sentiment assessment, sentiment by topic and theme within a document, intensity rating (strongly negative vs mildly negative), emotional tone identification (anger, satisfaction, frustration, delight), and customer review sentiment broken down by product, service, or attribute
→ Thematic analysis — recurring themes identified and systematically coded using Braun & Clarke methodology, theme hierarchies built (themes and sub-themes), prominence and frequency assessed, and a priori vs emergent coding applied depending on whether the analytical framework is pre-existing or generated from the data
→ Qualitative research data analysis — interview and focus group transcript analysis, thematic coding across multiple interviews, pattern identification, key findings synthesised in structured write-up format, and qualitative research findings presented as evidence-cited, publishable-quality analysis
→ Customer and employee feedback analysis — NPS open-ended comment analysis, CSAT verbatim breakdowns, employee survey open-ended response analysis, social media comment sentiment, and customer review theme identification with specific quotes supporting each finding
→ Content and discourse analysis — key term and phrase frequency analysis, topic framing identification (how a subject is presented, not just what is said), persuasive and rhetorical technique identification, brand language and tone analysis, and what is absent from a text as well as what is present
→ Applied text analysis across industries — media and press coverage analysis, political and policy language analysis, contract and legal language review, competitive communications analysis, and analytical framework and sampling strategy design for large datasets that exceed what can be processed directly in a single session

📄 mira-text-analyst.md

Under 2 min install

Works with Claude Sonnet 4 & Claude Cowork

How to install

Download the .md file → open Claude → paste the file content into your system prompt or Project instructions → paste the text, reviews, transcripts, or feedback you need analysed → Mira identifies themes, assesses sentiment, and produces evidence-cited findings instantly. Paste the content directly — for very large datasets she designs the analytical framework and sampling approach.

How to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.