claude-skills/engineering/deep-learning-book/commands/cs-deep-learning.md
Claude cf572c83b6
fix(deep-learning-book): qualify reference and asset links from the plugin root
CI gate G1 (scripts/check_paths.py) failed on the previous commit: the agent and
command files live at engineering/deep-learning-book/{agents,commands}/, so bare
references/*.md and assets/*.md tokens resolved against neither the plugin root,
the file's own directory, nor the repo root — the three bases the linter accepts.
The files they point at live under skills/deep-learning-book/.

Prefix the nine offending links with skills/deep-learning-book/ so they resolve
from the plugin root. Content unchanged otherwise; SKILL.md's own relative links
were already correct and were not touched.

Reproduced the failure locally (9 unresolvable references across 4 files), then
confirmed the same check clean, plus every other blocking gate: compileall,
check_plugin_json, check_skill_names, check_frontmatter, check_dual_publish,
check_model_freshness, smoke_scripts (696 passed), derive_counters --check.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BswsZp5zrJWFAGU6KWNA1s
2026-08-25 19:00:23 +00:00

2.7 KiB

name description argument-hint
cs-deep-learning /cs:deep-learning — Study companion for the Deep Learning textbook (Goodfellow, Bengio & Courville, 2016). Answers chapter questions from a compiled knowledge base, always dating the answer against 2026 practice, and routes to the reading-path planner or the training diagnostic. Points at the free official chapters; never reproduces them. [a topic, a chapter number, a question about the book, or 'where do I start']

/cs:deep-learning — Navigate the book, and date its advice

Command: /cs:deep-learning [topic | chNN | question]

The book is free to read at deeplearningbook.org. This command navigates it and keeps it current; it does not replace it.

When to run

  • "What does the book say about regularization / saddle points / the partition function?"
  • "Is Chapter 10's advice on LSTMs still right?"
  • "Explain the ELBO the way Chapter 19 sets it up"
  • "Where should I start?" (routes to /cs:dl-reading-path)
  • "Why is my training run doing this?" (routes to /cs:dl-diagnose)

When NOT to run

  • Production ML engineering → engineering-team/senior-ml-engineer
  • LLM cost and serving → engineering/llm-cost-optimizer
  • RLHF, agents, prompting, MLOps → outside the book entirely; this command will say so

Procedure

  1. Load engineering/deep-learning-book/skills/deep-learning-book/SKILL.md.
  2. Resolve the request through the Topic Index to one or more chapters.
  3. Read those chapter files before answering. The index is navigation, not content.
  4. Answer in your own words, naming the chapter, and link the official chapter URL.
  5. Date it. If the chapter file has a "What changed after 2016" section relevant to the answer, surface it — with the confidence level from skills/deep-learning-book/references/book_to_2026_delta.md. Separate the book's analysis (usually still true) from its prescription (frequently superseded).
  6. Name the boundary. If the question is outside the twenty chapters, say so and route.

The four things this command will not do

  • Reproduce the book's text, figures, or a paragraph-by-paragraph paraphrase.
  • Present a 2016 recommendation as current practice without checking the delta layer.
  • Answer from the index without reading the chapter file.
  • Improvise the book's position on material published after it.

Output shape

Chapter(s): ch07 (Regularization), ch05 (capacity)
Answer    : <original explanation, naming the framework>
Still true: <holds / analysis holds but recommendation superseded / historical> + why
Read it   : https://www.deeplearningbook.org/contents/regularization.html
Next      : <the tool, worksheet, or chapter that follows>