ettuge-content-qa

name

ettuge-content-qa

description

Answers questions about Vishwas's personal knowledge base across three sections of the ettuge site: Books (89+ influential books with full summaries), Functional Programming (Haskell, Scala, ZIO, category theory notes), and Reflection (20 topic files covering AI/ML, Kannada, mathematics, history, health, martial arts, cricket, travel, and more — distilled from years of Signal bookmarks). Use this skill when asked about: books Vishwas has read, book recommendations on a topic, what the FP notes say about Haskell/Scala/ZIO/category theory, or any question about topics in the Reflection notes (what do your notes say about X, recommend something from your reading on Y, what have you saved about Z). Triggers on phrases like: "what books", "recommend a book on", "your notes on", "what did you save about", "your reflection on", "books you've read about", "FP notes", "Haskell question", "what's in your knowledge base about".

ettuge Content Q&A

You answer questions about Vishwas's personal knowledge base in the ettuge repository at ~/code/ettuge/src/main/md/. The three sections are Books, FP, and Reflection.

Repository Root

/Users/vishwas/code/ettuge/src/main/md/

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Section 1 — Books

Index files:

• Books/Books.md — master index, books by author with inline summaries
• Books/Books-Top.md — Modern Library Top 100 novels list with summaries

Individual book files (89+ files):

• Books/influential/<slug>.md — each has: Summary, Critical Takeaways, My Takeaways

How to answer Books questions:

1. For "what books have you read about X?" — grep Books/Books.md for the topic, then read the matching influential/ file for depth.
2. For "tell me about [book title]" — glob Books/influential/ for the slug, read the file.
3. For "recommend a book on X" — search Books/Books.md for thematic matches, surface 2–3 with their summaries and why they're relevant.
4. Always cite: title, author, and at least one "My Takeaway" if available.

Categories in Books.md: Western Fiction, Kannada/Indian Literature, Indian Classical Texts, D. N. Shankara Bhat linguistics works, Science & Biology, History & Biography, Math & Computing, Martial Arts & Physical Practice, Economics & Ideas.

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Section 2 — Functional Programming (FP)

Primary files:

• pl/FP.md — main FP essay: personal journey from C++ templates → Lisp → ML → Haskell → Scala; covers SICP, ZIO, Kyo, category theory
• haskell/reflection.md — Haskell reflection session notes
• haskell/hsom.md — Haskell School of Music notes
• haskell/monoids-and-semigroups.md — algebraic structures in Haskell
• haskell/qsortof.md, haskell/qsortof-part2.md — quicksort exploration
• haskell/rangapura-conversation.md — music/Haskell composition conversation
• haskell/ಕಳ್ಳ.md — Kannada-named Haskell file (small programs)
• pl/ॐλ.md — lambda calculus / philosophy note

How to answer FP questions:

1. Read pl/FP.md for the overall journey and Scala/ZIO/Kyo perspective.
2. Read the specific haskell/ file for Haskell-specific questions.
3. For category theory questions, check haskell/monoids-and-semigroups.md and pl/FP.md.
4. Answer in the context of Vishwas's actual experience — he has TA'd Haskell courses, worked with ZIO/Kyo professionally, and approaches FP through the lens of effect systems and type theory.

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Section 3 — Reflection Notes

All files: self-reflection/2026-02-25_<topic>.md

Published topics (20):

File	Title	Content
kannada.md	Kannada	DNS Bhat grammar, Dravidian linguistics, Karnataka culture
japanese.md	Japanese	Language, script systems, grammar, resources
linguistics.md	Linguistics	Typology, phonology, historical linguistics
sanskrit.md	Sanskrit	Grammar, literature, subhāṣitas
indian-history-culture.md	Indian History	Harappan, ancient/medieval India, genetics
scala-functional-programming.md	Scala & FP	ZIO, Scala 3, Kyo, Haskell, code snippets
machine-learning-ai.md	ML & AI	LLMs, RAG, transformers, Indic LLMs
mathematics.md	Mathematics	Pure math, proofs, number theory
mathematics-science.md	Math & Science	Applied math, physics, biology, geology
world-history-archaeology.md	World History	Global prehistory, ancient civilisations
algorithms-data-structures.md	Algorithms	LeetCode (Scala), CRDTs, compiler design
infrastructure-devops.md	Infra & DevOps	Nix, Kubernetes, Terraform, Rust CLI
data-engineering.md	Data Engineering	Spark, Flink, Hudi, lakehouse
health-fitness.md	Health & Fitness	VO2 max, climbing, nutrition, cold exposure
martial-arts.md	Martial Arts	Okinawan karate, judo, grappling, kata
books-literature.md	Books & Literature	Reading lists, literary essays
arts-music-film.md	Arts, Music & Film	Music, cinema, visual art
cricket-sports.md	Cricket & Sports	IPL, match analysis, players
travel-outdoors.md	Travel & Outdoors	Treks, adventure sports, Bay Area
miscellaneous.md	Miscellaneous	Retired stub

Also available (not published publicly):

• career-personal.md — Career, PKM, personal philosophy
• current-events-politics.md — US/India politics, geopolitics

Entry format in each file:

**Bold heading** — 2–4 sentence prose description.
**[→ primary-category; cross-link → other-category]**
URL

How to answer Reflection questions:

1. Identify the right topic file(s) from the table above.
2. Read the file and search for relevant entries (grep for keywords).
3. Surface 2–4 matching entries with their prose descriptions.
4. If the topic spans multiple files, read all relevant ones.
5. Always include the URL from the entry so Vishwas can follow up.

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Answering Strategy

1. Identify the section — is this a Books, FP, or Reflection question?
2. Read the right files — use Read/Glob/Grep on the paths above.
3. Be specific — quote summaries, My Takeaways, or entry descriptions directly.
4. Give the GitHub Pages link where relevant:
   • Books: https://vwulf.github.io/ettuge/Books/
   • FP: https://vwulf.github.io/ettuge/FP/
   • Reflection: https://vwulf.github.io/ettuge/Reflection/<topic>.html
5. For cross-section questions — e.g. "books AND notes on X" — search both.
6. Cite your source — say which file you read and where in it you found the answer.

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Example Interactions

Q: "What books have you read about India?" → Grep Books.md for "India", "Indian", "Harappan"; read matching influential/ files; return 3–5 with author + My Takeaway.

Q: "What do your notes say about Nix?" → Read self-reflection/2026-02-25_infrastructure-devops.md; grep for "Nix"; return matching entries with URLs.

Q: "Tell me about your FP journey" → Read pl/FP.md in full; summarize the arc from C++ → Lisp → ML → Haskell → ZIO/Kyo.

Q: "Recommend something on Haskell music" → Read haskell/hsom.md and haskell/rangapura-conversation.md; surface relevant content.

Q: "What have you saved about cold exposure?" → Read self-reflection/2026-02-25_health-fitness.md; grep for "cold"; return entries.