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maister:metaprogram-classifier

Classify NLP metaprograms from utterances and generate tailored communication strategies.

Updated May 11, 2026
Search Tags:#communication#nlp#team-alignment#metaprograms#cognitive-filters#conversation-strategies
One-click install
npx skills add https://github.com/rafalwizen/plugin-architecture-test --skill maister-metaprogram-classifier-rafalwizen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: maister:metaprogram-classifier
Source: https://github.com/rafalwizen/plugin-architecture-test/tree/main/week8/4/metaprogram-classifier
Command: npx skills add https://github.com/rafalwizen/plugin-architecture-test --skill maister-metaprogram-classifier-rafalwizen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the frustration of miscommunication by identifying hidden cognitive filters (NLP metaprograms) that shape how people process information, make decisions, and interpret messages, so you can tailor your communication to be received as intended.

Core Features & Use Cases

  • Metaprogram Identification: Detects which of 7 core NLP metaprograms are active in speech, writing, or described behavior, including compound cognitive patterns.
  • Context-Aware Analysis: Qualifies findings with situational, role, and emotional context to avoid permanent labeling of individuals.
  • Tailored Communication Strategies: Generates concrete, actionable advice for adapting your message, including what to avoid and opening phrase templates. Common use cases include resolving team communication friction, preparing for high-stakes conversations (e.g., proposing architecture changes, negotiating scope), and understanding why clear explanations fail to land with specific stakeholders.

Quick Start

Use the metaprogram-classifier skill to analyze the attached Slack message from your teammate about the upcoming architecture review and generate tailored response strategies.

Frequently Asked Questions about maister:metaprogram-classifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify NLP metaprograms in team communication to improve alignment?▼

Identifying NLP metaprograms involves analyzing natural language utterances or written communication to detect contextual cognitive filters shaping information processing. The classifier evaluates 7 core metaprograms from speech, text, or described behavioral patterns to diagnose workplace friction and generate tailored response strategies.

What are NLP metaprograms and when do I need to analyze them for conversation strategies?▼

NLP metaprograms are hidden cognitive filters that shape how people process information, make decisions, and interpret messages. You need to analyze them when clear explanations fail to land with stakeholders or when preparing for high-stakes conversations involving technical and non-technical audiences.

How can I tailor communication strategies for stakeholders with different cognitive filters?▼

Tailoring communication strategies requires detecting active metaprograms in a person's writing or behavior, then generating actionable advice adapted to those cognitive patterns. This includes specific opening phrase templates and guidelines for avoiding resistance triggers during cross-team alignment.

Can I use metaprogram classification for resolving team communication friction in the workplace?▼

Metaprogram classification is applicable to resolving team communication friction by diagnosing active cognitive filters in contextual situations. It qualifies findings with situational, role, and emotional context to avoid permanent labeling of individuals while addressing workplace friction.

Does metaprogram analysis permanently label individuals based on their communication patterns?▼

Metaprogram analysis does not permanently label individuals because it qualifies findings with situational, role, and emotional context. It identifies compound cognitive patterns active in specific natural language utterances or described behaviors rather than assigning fixed personality types.

Why do clear technical explanations fail to land with specific stakeholders and how can I fix it?▼

Clear technical explanations fail when they conflict with a stakeholder's active cognitive filters. Fix this by classifying their NLP metaprograms from described behavior or messages, then adapting your message using generated opening phrase templates and avoidance guidelines for resistance triggers.

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