/map — Literature-Thesis Mapping Skill
SkillDev toolsShow or update the mapping between literature and thesis chapters — which sources support which arguments. Use for tracking coverage.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /map — Literature-Thesis Mapping Skill skill
What this skill tells your AI
The instructions your AI receives, as published by yha9806/academic-writing-toolkit in .claude/skills/map/SKILL.md and read by ahel’s review.
Purpose
Build and display a mapping matrix showing which literature sources support which thesis chapters. Identify coverage gaps where chapters lack sufficient source support.
Trigger Words
This skill activates on: map, show mapping, coverage, which sources, /map.
Workflow
-
Scan all notes files in
literature/reading_notes/using Glob (*_NOTES.md). For each file, extract:- Author and title (from the
# Reading Notes:heading) Statusfield valueRelevancefield value- All rows from the
## Thesis Connectionstable
- Author and title (from the
-
Scan chapter files in
chapters/to get the list of chapters and their section headings. -
Build the mapping matrix. Rows are sources (sorted alphabetically by author), columns are chapters (Ch1 through Ch8 or however many exist).
- Mark each cell with the connection type if a mapping exists (e.g.,
supports,challenges,extends). - Leave cells empty if no connection.
- Mark each cell with the connection type if a mapping exists (e.g.,
-
Identify coverage gaps. Flag any chapter that has fewer than 3 mapped sources as "under-covered".
-
Add the progress dashboard. Count chapter words deterministically with
node .claude/skills/map/scripts/count-words.mjs --base-dir . --json(never estimate word counts by reading), compare against the per-chapter targets inCLAUDE.md, and count notes files byStatusvalue (reading / completed / integrated). -
Output the mapping and dashboard.
Output Format
## Literature-Thesis Mapping -- {YYYY-MM-DD}
### Matrix
| Source | Status | Ch1 | Ch2 | Ch3 | Ch4 | Ch5 | Ch6 | Ch7 | Ch8 |
|--------|--------|-----|-----|-----|-----|-----|-----|-----|-----|
| Smith (2024) | integrated | | supports | supports | | | | | |
| Jones (2021) | integrated | extends | supports | supports | extends | | | | |
| Lee (2019) | completed | | | supports | | | challenges | | challenges |
### Coverage Summary
| Chapter | Mapped Sources | Status |
|---------|---------------|--------|
| Ch1 | {N} | OK / Under-covered |
| Ch2 | {N} | OK / Under-covered |
### Under-covered Chapters
{List chapters with < 3 sources, with suggestions for which completed-but-not-yet-mapped notes might fill the gap.}
Saving the Matrix
If the user says "save" or "export mapping", write the matrix to literature/mapping_matrix.md using Edit (if the file exists) or Write (if creating new). Include a timestamp header.
Gap Threshold
- Under-covered: fewer than 3 mapped sources per chapter.
- This threshold can be adjusted if the user specifies a different minimum.
Constraints
- Read-only by default. Only modify files if the user explicitly asks to save the matrix.
- No emoji in output.
- No hardcoded chapter count. Detect chapters dynamically from the
chapters/directory. - Source names use the format
{Author} ({Year})for readability. - Connection types are derived from the
Connection Typecolumn in notes files. If a notes file lacks the table or fails the contract lint (npm --prefix guards run lint:notes -- {file}whenguards/is present), list it under "Unparseable notes files" instead of inferring cells — a broken file must surface as an error, never as a guessed mapping. - Word counts come from the bundled counter, never from model estimation. It counts whitespace-delimited words, including Markdown tokens, as the former
wc -winstruction did; continuous Chinese text is not counted character by character.
Signals
- GitHub stars
- 38
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
map-yha9806- Source
- github.com/yha9806/academic-writing-toolkit