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AI EngineeringJavaScript

Contextualize

by jongwony

Contextualize is an AI Engineering skill for Claude Code, published by jongwony in epistemic-protocols.

161 stars15 forkson jongwony/epistemic-protocolsAdded 2026/09/08+1% in starsRepository updated 2026/09/08
ai-collaborationclaude-codeepistemologymetacognitionplugin
Install in seconds
Install Contextualize
Copy Contextualize into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/jongwony/epistemic-protocols/tree/main/epharmoge/skills/contextualize ~/.claude/skills/contextualize

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jongwony/epistemic-protocols.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
epharmoge/skills/contextualize/SKILL.md in jongwony/epistemic-protocols
Installs to
~/.claude/skills/contextualize
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering3670 skills

What Contextualize does

Contextualize detects when an output is technically correct but does not fit the current application context. Use it after execution to surface applicability mismatches for review, routing, or adaptation.

Contextualize is cataloged under AI Engineering on DirSkills. Contextualize comes from a repository tagged ai-collaboration, claude-code, epistemology, metacognition and plugin.

Documentation

README

Epharmoge Protocol

Detect application-context mismatch after execution through AI-guided applicability verification, where correct results that may not fit the actual context are surfaced for user judgment. Type: (ApplicationDecontextualized, AI, CONTEXTUALIZE, Result) → ContextualizedExecution.

Definition

Epharmoge (ἐφαρμογή): A dialogical act of verifying that results fit the actual application context — from Aristotle's notion of practical application — resolving the gap between technical correctness and contextual appropriateness through structured mismatch surfacing and user-directed adaptation.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Contextualize

  • What else does jongwony publish alongside Contextualize?

    Contextualize is one of 25 skills that DirSkills catalogs from jongwony/epistemic-protocols, the repository it ships in. Its siblings there include Aitesis Protocol, Analogia Protocol and Elenchus Protocol. Each one is a separate skill with its own page in this directory, installs the same way Contextualize does, and is maintained by jongwony in that same repository. The rest of the collection is listed on the jongwony/epistemic-protocols page.

  • How does Contextualize compare to other AI Engineering skills?

    Contextualize ranks #3419 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Contextualize against them. Open each page to compare what they document and how they install.

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