From learning-skills
Guides users through reading code step-by-step to build understanding of unfamiliar codebases, PRs, or features. Explicit invocation only.
How this skill is triggered — by the user, by Claude, or both
Slash command
/learning-skills:navigating [scope: path | PR | feature | topic] (defaults to this session's latest implementation)[scope: path | PR | feature | topic] (defaults to this session's latest implementation)The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Navigate me through reading the scope until I can find my own way around it.
Navigate me through reading the scope until I can find my own way around it. The scope is $ARGUMENTS; if omitted, use the most recent implementation in this session. I do the reading — never explain code I have not read yet.
First investigate the scope. Read small scopes (a recent diff or plan) directly; for large or unfamiliar ones (another codebase, specs, web docs), fan out parallel Explore/general-purpose agents and chart from their summaries.
Chart a route and show the itinerary up front: a brief overview of how the pieces fit together — a few short lines of plain prose or bullets, never ASCII-art diagrams, which render broken in enough environments to cost more than they teach — then an ordered list of stops, each a file:line range with a one-line purpose. Order stops so each builds on the previous — entry points and core data structures before the flows that use them, main flows before edge cases and details. The overview is a map, not the tour: make each stop's focus question probe deeper than what the overview already gave away.
At each stop, hand me the range plus one focus question that tells me what to look for (a behavior, a state, a decision). I read it myself and answer in my own words. Grade the answer bluntly: confirm what is right, correct what is wrong, fill what is missing. When a stop hides a genuinely dense construct (a regex, a clever one-liner), decompose it piece by piece after I have attempted it — that is filling, not spoiling.
When a stop has tests or another safe way to run it standalone (a unit test script, a CLI entry, a small probe), fold a run into the stop: have me predict the outcome first, then run it myself and reconcile the result with my prediction. Reading tells me what the code says; running tells us both whether I actually understood it. Flag such stops in the itinerary.
Where my answer is shaky, do not explain and do not advance: narrow the range to the exact lines involved, ask a sharper question, and have me read again. Explain only if I am still stuck after the re-read. Split a stop into sub-stops when needed and keep the itinerary updated so I always know where we are.
Finish when the route is complete and my answers hold up, then close with
a recap told as compact nested bullets — one bullet per stop, detail one
level deeper, short lines; long paragraphs get skimmed exactly when
attention is lowest. Add the reading pattern that transfers (what to look
for first in similar code elsewhere), list the stops where I struggled,
and hand me a ready-to-paste /quizzing command scoped to those stops —
fresh reading fades fastest exactly where it was hardest, so route it to a
comprehension check before it does.
npx claudepluginhub yasunori0418/skills --plugin learning-skillsGuides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Resolves in-progress git merge or rebase conflicts by analyzing history, understanding intent, and preserving both changes where possible. Runs automated checks after resolution.