GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
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.
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.
mq 'QUERY' file.md # query a file
cat file.md | mq 'QUERY' # query stdin
mq repl # interactive REPL — use to test syntax fast
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 # every H2 as plain text
mq '.code("python") | to_text()' file.md # all python code blocks
mq '.h.level' file.md # heading depth per heading
mq -F json '.h2 | to_text()' file.md # results as JSON
mq '.h2 | to_text()' file.md | wc -l # count matches (reliable idiom)
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.)
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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when choosing a subagent's model or effort, when choosing how to escalate a failed attempt, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
日本語の概要は準備中です。原文の説明を表示しています。
Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
日本語の概要は準備中です。原文の説明を表示しています。
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
日本語の概要は準備中です。原文の説明を表示しています。
Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
日本語の概要は準備中です。原文の説明を表示しています。