feat: Add gamified learning module for critical analysis of documentation

[Keramikus-97]

Summary

Adds a new gamified_learning module that enables gamified critical analysis of technical documentation — identifying hidden assumptions, scoring analysis quality, and tracking learner progress with XP/levels/badges.

Inspired by a German-language critical analysis exercise ("Gamifiziertes Lernen") that decomposes documentation into underlying assumptions with structured evidence evaluation.

Key components:

# Core data model
Assumption(statement, category, evidence, impact_on_argument, confidence)
LearnerProfile(user_id, xp, level, challenges_completed, streak, badges)
LearningChallenge(challenge_id, title, source_text, difficulty, xp_reward)

# Main API surface
identify_assumption_indicators(text) -> list[str]  # detect assumption signals
score_analysis(assumptions, source_text) -> AnalysisResult  # score with breakdown
create_challenge(id, title, text, ...) -> LearningChallenge  # gamified wrapper
complete_challenge(profile, challenge, result) -> (profile, events)  # award XP/badges
format_analysis_markdown(result, locale="de"|"en") -> str  # output as markdown table

• estimate_difficulty() uses word count, sentence complexity, and technical vocabulary density heuristics
• Scoring weights differ by AssumptionCategory (CAUSAL=25, IMPLICIT_COMPARISON=20, etc.)
• Supports de and en locales for markdown output (matching the original German format)
• 53 new tests, overall coverage 99% (115 tests total)

Link to Devin session: https://app.devin.ai/sessions/e783b2864bf3411f8832faec6c5f93bf
Requested by: @Keramikus-97

[Keramikus-97]

Devin Review found 1 potential issue.

View 4 additional findings in Devin Review.

[github-actions]

opencode session  |  github run

[Keramikus-97]

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[Keramikus-97]

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