Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file.

MITAuto-check passedKnowledge Management

Install Query

skills CLI
$ npx skills add superhero-tech/super-brain --skill query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install superhero-tech/super-brain query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/superhero-tech/super-brain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/7-Skills/query .claude/skills/query && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
query
GitHub stars
160
Token cost
~909 tokens
SKILL.md length
494 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file.

  • Works in 6 steps: Find the pages → Read them → Answer → …
  • The human asks something this vault should already know
  • SKILL.md covers How to invoke, How it works, Self-check and Hard constraints
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Query is an agent skill from superhero-tech/super-brain. Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file. Use when the human asks something this vault should already know, wants a briefing or comparison built from ingested sources, or asks what the vault is missing on a topic.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Citation management. The repository describes itself as: Product Builder Second Brain - AI Product Heroes Edition 3. The licence is MIT.

When your agent uses it

  • The human asks something this vault should already know
  • Wants a briefing
  • Comparison built from ingested sources
  • Asks what the vault is missing on a topic

Example prompts

  • “Use the query skill to answer from the compiled wiki in 4-Knowledge/, with citations and a saved output file”
  • “/query”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Find the pages
  2. Read them
  3. Answer
  4. Save the output
  5. Log it
  6. Offer to file it back

What it can do on your machine

Read from SKILL.md and the folder at commit 0922a1a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Query loads about 909 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 494 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~909

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from superhero-tech/super-brain at commit 0922a1a, republished under its MIT licence (© superhero-tech). 494 words, ~909 tokens.

Download SKILL.mdSave it as .claude/skills/query/SKILL.md (or your agent's skills folder).
name
query
description
Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file. Use when the human asks something this vault should already know, wants a briefing or comparison built from ingested sources, or asks what the vault is missing on a topic.

Query

Answer from the wiki, not from memory, and keep the answer so the next question starts further along.

Write the answer and every file you produce in the language the human is using.

How to invoke

  • Any question the vault plausibly covers
  • "What do we know about X?"
  • "Compare X and Y from what I have"
  • "Write me a briefing on X"
  • /query

How it works

1. Find the pages

Read 4-Knowledge/index.md first. It is the map, and it exists so you do not have to read every page to find three.

Pick the pages that bear on the question, entity pages included when the question names a person, company or tool.

If the index promises a page that is not on disk, or you find a page the index never lists, tell the human. Both are real findings.

2. Read them

Read the pages you picked, in full. Follow [[links]] one hop out when the question sits between two topics.

3. Answer

Cite every claim with [source: page-name.md], naming the wiki page you actually read.

Where the wiki disagrees with itself, show both sides and name the sources. A > CONTRADICTION: marker is a finding to surface, not noise to smooth over.

Where the wiki is thin, say so in the answer. If you add something from outside the vault, mark it plainly as outside knowledge so the human can tell the two apart.

4. Save the output

Write 9-Outputs/[YYYY-MM-DD]-[short-slug].md:

markdown
---
question: [the question, as asked]
date: [YYYY-MM-DD]
pages: [wiki pages used]
filed_back: [page name, or: no]
---

# [Question as a title]

[The answer, with [source: page-name.md] citations]

## What this is built on
- [[Page A]] - what it contributed
- [[Page B]] - what it contributed

## Gaps
[What the wiki could not answer. The most useful section in the file: it tells
the human what to read next.]

A one-line lookup does not need a file. Say out loud that you skipped it, so the human knows this answer was not kept.

When the answer has a shape that prose flattens - a comparison across dimensions, a timeline, a distribution - offer the better format and save it beside the markdown under the same slug. The format rules are in 8-System/brain.md under Conventions.

Show full SKILL.md (190 more words)Show less
5. Log it

Append a query entry to 4-Knowledge/log.md. That file carries the format.

6. Offer to file it back

If the answer holds synthesis that is on no page yet - a comparison, a connection, a conclusion the human will want again - offer to write it into 4-Knowledge/ as a new page or a section on an existing one, then update 4-Knowledge/index.md and log it as an update.

This is the step that makes asking questions improve the wiki instead of only spending it. It is also the human's call: ask, and wait.

Self-check

  • Every claim carries a [source: ...] citation
  • The output file exists, or you said out loud that you skipped it
  • 4-Knowledge/log.md has a query entry pointing at that file
  • ## Gaps names something real rather than being left empty because it was easier
  • Anything you contributed from outside the vault is marked as such

Hard constraints

  • The markdown output is canonical. An HTML page or a deck is a view of it, never a replacement.
  • Synthesis goes back into 4-Knowledge/ only after the human agrees.
  • Sources in 5-Raw/ are read-only. Cite them and leave them as they are.

© superhero-tech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in 7-Skills/query of superhero-tech/super-brain.

Open the folder on GitHubat commit 0922a1a

Compare with similar skills

Query next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Query compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Query this skillsuperhero-tech/super-brain160—~909Automated safety check: PassMIT
Wiki Queryrohitg00/pro-workflow2.9k1 repos~554Automated safety check: PassNone
QueryHurricaHjz/second-yourself114—~2.2kAutomated safety check: PassMIT
Wiki Context PackAr9av/obsidian-wiki3.5k—~752Automated safety check: NotesMIT
Second Brain Reportundefined-ui/second-brain-os1k—~474Automated safety check: PassMIT
Second Brain Writeundefined-ui/second-brain-os1k—~480Automated safety check: PassMIT

Similar skills

  • Wiki Query

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  • Query

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  • Second Brain Report

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  • Second Brain Write

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  • Maintain Codex Wiki

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More from superhero-tech/super-brain

All 8 skills in this repo
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  • Second Brain Setup

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  • Feynman

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  • Lint

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    160 GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Youtube

    superhero-tech/super-brain

    Captures a YouTube video as a source note and a wiki page. An agent skill from superhero-tech/super-brain.

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  • Project Start

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Questions about Query

What does Query do?

Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file. Query is an agent skill from superhero-tech/super-brain. Answers from the compiled wiki in 4-Knowledge/, with citations and a saved output file.

When should I use Query?

Query fits situations like: the human asks something this vault should already know; wants a briefing; comparison built from ingested sources; asks what the vault is missing on a topic.

How do I install Query in Claude Code?

Run `npx skills add superhero-tech/super-brain --skill query -a claude-code`. Or copy the skill folder (7-Skills/query in superhero-tech/super-brain) into .claude/skills/query in your project. Claude Code loads it when a task matches its description.

How do I install Query in Codex?

Run `npx skills add superhero-tech/super-brain --skill query -a codex`. Or copy the skill folder (7-Skills/query in superhero-tech/super-brain) into .agents/skills/query in your project. Codex loads it when a task matches its description.

Can I use Query in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add superhero-tech/super-brain --skill query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/query, .gemini/skills/query, .github/skills/query and .opencode/skills/query in your project.

What does Query need to run?

SKILL.md names no scripts, command-line tools or credentials: Query is instructions for the agent only.

Does Query access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Query safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Query use?

Query is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Query use?

About 909 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Query?

Skills that share tags, products or a category with Query: Wiki Query (rohitg00/pro-workflow, 2.9k stars), Query (HurricaHjz/second-yourself, 114 stars), Wiki Context Pack (Ar9av/obsidian-wiki, 3.5k stars) and Second Brain Report (undefined-ui/second-brain-os, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Query?

superhero-tech (a GitHub organization) maintains it in superhero-tech/super-brain, which has 160 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 25, 2026.

Source: superhero-tech/super-brain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.