mcpbeat Sign in

Second Brain Query Agent Skill

> Answer questions against the knowledge base wiki. Use when the user asks a question about their collected knowledge, wants to explore connections between topics, says "what do I know about X", or wants to search their wiki.

715 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
651
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/NicholasSpisak/second-brain --skill second-brain-query

The instruction itself

12 sections, as written by the author

Second Brain — Query

Answer questions by searching and synthesizing knowledge from the wiki.

Search Strategy

1. Start with the index

Read wiki/index.md to identify relevant pages. Scan all category sections (Sources, Entities, Concepts, Synthesis) for entries related to the question.

2. Use qmd for large wikis

If qmd is installed (check with command -v qmd), use it for search:

qmd search "query terms" --path wiki/

This is especially useful when the wiki has grown beyond ~100 pages where scanning the index becomes inefficient.

3. Read relevant pages

Read the wiki pages identified by the index or search. Follow [[wikilinks]] to pull in related context from linked pages. Read enough pages to give a thorough answer, but don't read the entire wiki.

4. Check raw sources if needed

If the wiki pages don't fully answer the question, check relevant source summaries in wiki/sources/ for additional detail. Only go to files in raw/ as a last resort.

Synthesize the Answer

Format

Match the answer format to the question:

  • Factual question → direct answer with citations
  • Comparison → table or structured comparison
  • Exploration → narrative with linked concepts
  • List/catalog → bulleted list with brief descriptions

Citations

Always cite wiki pages using [[wikilink]] syntax. Example:

> According to [[Source - Article Title]], the key finding was X. This connects to the broader pattern described in [[Concept Name]], which [[Entity Name]] has also explored.

Offer to save valuable answers

If the answer produces something worth keeping — a comparison, analysis, new connection, or synthesis — offer to save it:

> "This comparison might be useful to keep in your wiki. Want me to save it as a synthesis page?"

If the user agrees:

  • Create a new page in wiki/synthesis/ with proper frontmatter
  • Add an entry to wiki/index.md under Synthesis
  • Append to wiki/log.md: ## [YYYY-MM-DD] query | Question summary

Conventions

  • Search the wiki first. Only go to raw sources if the wiki doesn't have the answer.
  • Cite your sources. Every factual claim should link to the wiki page it came from.
  • Valuable answers compound. Encourage saving good analyses back into the wiki.
  • Use [[wikilinks]] for all internal references. Never use raw file paths.
  • /second-brain-ingest — process new sources into wiki pages
  • /second-brain-lint — health-check the wiki for issues

Other skills for the same job

different authors, same section of the catalogue
Receipt Scanner Master
by ComeOnOliver
×1

Master receipt scanning operations including parsing, debugging, enhancing accuracy, and database integration. Use when working with receipts, images, OCR issues, expense categorization, or troubleshooting receipt uploads.

13k tokens
Receipt Scanning Tools
by ComeOnOliver
×1

This skill helps you work with the receipt scanning tools in the nonprofit_finance_db project. It includes manual entry tools, automated OCR scanning, and database integration for tracking receipts...

8k tokens
Wiki Query
by AgriciDaniel

Answer an explicitly vault-scoped question from an Obsidian wiki without changing it. Use when the user selects the vault as the evidence source: query the wiki, query quick, query deep, explain from the wiki, summarize the vault, find in wiki, search the wiki, or based on the wiki. Do not route ordinary general-knowledge questions here.

1k tokens
Cloudbase Document Database In Wechat Miniprogram
by TencentCloudBase

Use CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.

14k tokens
Cloudbase Document Database In Wechat Miniprogram
by aiskillstore

Use CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.

27k tokens
Time Ledger
by lingxling

Natural-language time tracking: parse what the user says they did into Activity/Minutes/Date rows in their own Notion database — asking instead of guessing when unsure.

2k tokens
Bio Entrez Fetch
by BioTender-max

Retrieve records from NCBI databases using Biopython Bio.Entrez (EFetch, ESummary). Use when downloading sequences, fetching GenBank/GenPept records, getting document summaries, parsing nested XML, navigating GI deprecation, choosing between rettype+retmode combinations, and parsing into Biopython SeqRecord/SwissProt objects. Covers nucleotide, protein, gene, pubmed, sra, gds, taxonomy, snp, clinvar.

6k tokens scripts
Dailymed Query
by BioTender-max

> Query DailyMed for FDA drug label / package insert information. Use whenever the user asks about drug labeling, SPL documents, prescribing information, NDC codes, or needs to look up current FDA-approved drug details by name or NDC. Supports single entity or batch queries.

3k tokens scripts

How to use it

Copy the folder

Take nicholasspisak/second-brain-query from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.