| name | querying-markdown |
| description | Query, filter, and transform Markdown structurally with mq — a jq-like CLI for Markdown. Use to extract headings/sections/code-blocks/links from .md files, build a table of contents, pull code blocks of a given language, slice or reshape LLM prompt/output Markdown, or batch-transform docs. Triggers on "extract sections from this markdown", "get all the code blocks", "jq for markdown", "mq", or any structural query over Markdown that grep/Read can't do cleanly. |
| metadata | {"version":"0.2.0"} |
querying-markdown
mq is "jq for Markdown" — it parses a .md file into a node stream and lets
you select, filter, and transform by structure (.h2, .code("rust"),
.link) instead of by line-matching. Reach for it when the task is structural:
"every H2 title", "all bash code blocks", "a table of contents", "strip the
frontmatter". For plain substring search, grep is still the right tool; for
code (not prose) structure, use tree-sitting.
Before you use mq: is this actually a structural task?
mq parses the whole document into a node tree before it answers, and that parse
cost is real (see Empirical findings). Most "query a
markdown file" tasks don't need it. Decide first, using the target — not the
file type:
| Your target | Use | Why |
|---|
Lines with a fixed prefix — #/## headings, > quotes, - bullets, a leading line/verse number | grep / awk | Line-matching, not structure. grep is faster and already installed. |
| A substring anywhere | grep | mq adds nothing. |
| Code structure inside fences (ASTs, symbols, call sites) | tree-sitting | mq sees the fence, not the code inside it. |
Language-filtered code blocks (.code("bash")); links as structured (text, url) (-F json '.link') | mq | grep can't filter a fenced block by language without a brittle hand-rolled fence state machine. |
| Markdown→Markdown transforms that must emit valid Markdown — demote/promote headings, rebuild a TOC with anchors, in-place edit | mq | sed doesn't know structure and will corrupt nesting/fences. |
If your task lands in a grep/awk row, do not install mq — close this skill
and use the line tool. Diagnosed 2026-06-04: a full-KJV smoke test queried
books/chapters/verses (all line-prefix structure) with mq — ~3.3 s per query
where grep is milliseconds, the same answers, and a grep post-filter still
needed on top. Wrong-shape corpus; mq's selectors earn their parse cost only on
the structural rows.
The judgment call is whether the case is actually line-prefix or only looks
it. A heading is a prefix; a heading you want demoted with its subtree, or a
match you must re-emit as valid Markdown, is structure — mq's row even when the
match looks like a prefix.
Setup
mq is a single static binary, not preinstalled. Install on first use (idempotent
— exits early if already present, ~1s, no build step):
bash /mnt/skills/user/querying-markdown/scripts/install-mq.sh
This drops the pinned mq release into /usr/local/bin. Override the version
with MQ_VERSION=vX.Y.Z.
Usage
mq 'QUERY' file.md
cat file.md | mq 'QUERY'
mq repl
A node stream flows left→right through |. Selectors (.h, .code, .link)
pick nodes; functions (to_text, slugify, map, len) transform them.
self is the current node.
mq '.h2 | to_text()' README.md
mq '.code("python") | to_text()' file.md
mq '.h.level' file.md
mq -F json '.h2 | to_text()' file.md
mq '.h2 | to_text()' file.md | wc -l
Empirical findings
Measured 2026-06-04 against a full public-domain KJV Bible (66 files, 4.28 MB).
Parse-bound, not query-bound. mq reparses the whole document on every
invocation; latency tracks document size, not selector or match count. On the
4.28 MB file every query — whether it returned 66 matches or 32,418 — ran
~3.2–3.3 s (~1.3 MB/s); on a normal-sized doc it is single-digit ms. Never loop
mq per query over a large corpus: extract once with -F json and work on the
result, or accept a constant per-call parse tax.
Selectors return nodes, not your domain concepts. .h2 over the KJV
returned 1,250 nodes — 1,184 chapter headings plus 66 eof markers the source
appended per file, while single-chapter books emitted no chapter heading at all.
.text also pulled heading text into the paragraph stream. A raw selector count
is a node count; map it to your concept with an explicit predicate
(e.g. grep -E '^[0-9]+ ' for verses) and check it against a known total before
trusting the number.
An empty result is ambiguous. Zero output means either the selector
matched nothing or mq never ran — a wrapper like time/env failed in dash,
or a malformed heredoc swallowed the command. Re-run the bare
mq 'QUERY' file.md before concluding a selector or function is broken.
(Self-inflicted 2026-06-04: a time: not found shell error read as a
to_text() defect; to_text() on code blocks works.)
Reference
Selector aliases, the built-in function library, table-of-contents and
transform recipes, in-place-edit caveats, and CLI flags live in
references/cheatsheet.md. Read it before writing a
non-trivial query — the dialect is jq-like, not jq, so the function names
differ. When unsure of syntax, mq repl gives instant feedback.
