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duckdb-docs

Search DuckDB and DuckLake documentation and blog posts.

Skill by duckdb

IndexedMIT★ 610
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/duckdb-duckdb-docs

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About

Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.

Use cases: documents, writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/duckdb-docs

Tools it pre-approves 1

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Bash

What's inside

Skill name
duckdb-docs
Description
Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.
License
MIT
Allowed tools
Bash
Instructions
143 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves any shell command

Files (1)

  • SKILL.md

SKILL.md (first lines)

You are helping the user find relevant DuckDB or DuckLake documentation.

Query: `$@`

Follow these steps in order.

## Step 1 — Check DuckDB is installed

```bash
command -v duckdb
```

If not found, delegate to `/duckdb-skills:install-duckdb` and then continue.

## Step 2 — Ensure required extensions are installed

```bash
duckdb :memory: -c "INSTALL httpfs; INSTALL fts;"
```

If this fails, report the error and stop.

## Step 3 — Choose the data source and extract search terms

The query is: `$@`

### Data source selection

There are two search indexes available:

| Index | Remote URL | Local cache filename | Versions | Use when |
|-------|-----------|---------------------|----------|----------|
| **DuckDB docs + blog** | `https://duckdb.org/data/docs-search.duckdb` | `duckdb-docs.duckdb` | `lts`, `current`, `blog` | Default — any DuckDB question |
| **DuckLake docs** | `https://ducklake.select/data/docs-search.duckdb` | `ducklake-docs.duckdb` | `stable`, `preview` | Query mentions DuckLake, catalogs, or DuckLake-specific features |

Both indexes share the same schema:

| Column | Type | Description |
|--------|------|-------------|
| `chunk_id` | `VARCHAR` (PK) | e.g. `stable/sql/functions/numeric#absx` |
| `page_title` | `VARCHAR` | Page title from front matter |
| `section` | `VARCHAR` | Section heading (null for page intros) |
| `breadcrumb` | `VARCHAR` | e.g. `SQL > Functions > Numeric` |
| `url` | `VARCHAR` | URL path with anchor |
| `version` | `VARCHAR` | See table above |
| `text` | `TEXT` | Full markdown of the chunk |

By default, search **DuckDB docs** and filter to `version = 'lts'`. Use different versions when:

- The user explicitly asks about `current`/nightly features → `version = 'current'`
- The user asks about a blog post or wants background/motivation → `version = 'blog'`
- The user asks about DuckLake → search the DuckLake index with `version = 'stable'`
- When unsure, omit the version filter to search across all versions.

### Search terms

If the input is a **natural language question** (e.g. "how do I find the most frequent value"), extract the key technical terms (nouns, function names, SQL keywords) to form a compact BM25 query string. Drop stop words like "how", "do", "I", "the".

If the input is already a **function name or technical term** (e.g. `arg_max`, `GROUP BY ALL`), use it as-is.

Use the extracted terms as `SEARCH_QUERY` in the next step.

## Step 4 — Ensure local cache is fresh

The cache lives at `$HOME/.duckdb/docs/CACHE_FILENAME` (where `CACHE_FILENAME` is `duckdb-docs.duckdb` or `ducklake-docs.duckdb` per Step 3).

First, ensure the directory exists:

```bash
mkdir -p "$HOME/.duckdb/docs"
```

Then check whether the cache file exists and is fresh (≤2 days old):

```bash
CACHE_FILE="$HOME/.duckdb/docs/CACHE_FILENAME"
if [ -f "$CACHE_FILE" ]; then
    MTIME=$(stat -f %m "$CACHE_FILE" 2>/dev/null || stat -c %Y "$CACHE_FILE")
    CACHE_AGE_DAYS=$(( ( $(date +%s) - MTIME ) / 86400 ))
else
    CACHE_AGE_DAYS=999
fi
echo "Cache age: $CACHE_AGE_DAYS days"
```

**If `CACHE_AGE_DAYS` ≤ 2** → skip to Step 5.

**Otherwise** (stale or missing) → fetch the index:

```bash
duckdb -c "
LOAD httpfs;
LOAD fts;
ATTACH 'REMOTE_URL' AS remote (READ_ONLY);
ATTACH '$HOME/.duckdb/docs/CACHE_FILENAME.tmp' AS tmp;
COPY FROM DATABASE remote TO tmp;
" && mv "$HOME/.duckdb/docs/CACHE_FILENAME.tmp" "$HOME/.duckdb/docs/CACHE_FILENAME"
```

Replace `REMOTE_URL` and `CACHE_FILENAME` per Step 3. If the fetch fails (network error), report the error and stop.

## Step 5 — Search the docs

```bash
duckdb "$HOME/.duckdb/docs/CACHE_FILENAME" -readonly -json -c "
LOAD fts;
SELECT
    chunk_id, page_title, section, breadcrumb, url, version, text,
    fts_main_docs_chunks.match_bm25(chunk_id, 'SEARCH_QUERY') AS score
FROM docs_chunks
WHERE score IS NOT NULL
  AND version = 'VERSION'
ORDER BY score DESC
LIMIT 8;
"
```

Replace `CACHE_FILENAME`, `SEARCH_QUERY`, and `VERSION` per Step 3. Remove the `AND version = 'VERSION'` line if searching across all versions.

From duckdb/duckdb-skills, MIT.

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Stars
610
Forks
37
Open issues
4
Last commit (this folder)
Apr 1, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

duckdb-docs skill. Agent Mart. https://agentmart.dev/skills/duckdb-duckdb-docs (last updated 2026-10-24)