SQL Expert
aiskillstore/marketplace
Expert SQL query writing, optimization, and database schema design with support for PostgreSQL, MySQL, SQLite, and SQL Server.
Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL.
Install SQL Insight
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zebbern/claude-code-guide sql-insight --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sql-insight .claude/skills/sql-insight && rm -rf skills-srcUse ~/.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/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .claude/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insightType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zebbern/claude-code-guide sql-insight --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sql-insight .agents/skills/sql-insight && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .agents/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zebbern/claude-code-guide sql-insight --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sql-insight .cursor/skills/sql-insight && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .cursor/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zebbern/claude-code-guide.git --path skills/sql-insight--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zebbern/claude-code-guide sql-insight --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sql-insight .gemini/skills/sql-insight && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .gemini/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zebbern/claude-code-guide sql-insightInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sql-insight .github/skills/sql-insight && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .github/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zebbern/claude-code-guide --skill sql-insight -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zebbern/claude-code-guide sql-insight --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sql-insight .opencode/skills/sql-insight && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sql-insight" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/sql-insight into .opencode/skills/sql-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-insight", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sql-insight- GitHub stars
- 4.6k
- Token cost
- ~2.1k tokens
- SKILL.md length
- 530 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 46
- Repo updated
- First seen
- Licence
- MIT
At a glance
Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL.
- Works in 4 steps: Use the schema command to extract the… → Use the schema as context to translate… → Use the optimize command to check if the… → …
- Tasks that involve Query optimization
- SKILL.md covers Capabilities, Workflow, Quick Start and Detailed Usage, plus 5 more sections
- Runs Python scripts from its folder; calls python3 and pip
What it does
SQL Insight is an agent skill from zebbern/claude-code-guide. Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/sql_query_helper.py`).
It sits in Databases, covering Query optimization and SQL. It works with SQL, SQLite and PostgreSQL. The repository describes itself as: Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user! The licence is MIT.
When your agent uses it
- Tasks that involve Query optimization
- Tasks that involve SQL
Example prompts
- “/sql-insight”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Use the schema command to extract the database table structure
- Use the schema as context to translate the user's natural language request into SQL
- Use the optimize command to check if the generated SQL can be improved
- Use the explain command to verify the query execution plan
What it can do on your machine
Read from SKILL.md and the folder at commit 4698e3b. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
SQL Insight loads about 2.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 530 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from zebbern/claude-code-guide at commit 4698e3b, republished under its MIT licence (© zebbern). 530 words, ~2,107 tokens.
Download SKILL.mdSave it as
.claude/skills/sql-insight/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- sql-insight
- description
- Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.
- license
- MIT
sql-insight
SQL query assistant — natural language to SQL translation, query optimization analysis, and EXPLAIN plan interpretation.
Capabilities
| Feature | Description |
|---|---|
| Schema Extraction | Extracts database table structure (columns, types, indexes, foreign keys, sample data) to provide context for NL→SQL |
| Natural Language → SQL | Translates natural language descriptions into SQL queries using schema context |
| Query Optimization Analysis | Detects SQL anti-patterns based on 13 rules and provides optimization suggestions |
| EXPLAIN Interpretation | Runs EXPLAIN and interprets the query plan, identifying full table scans, missing indexes, and more |
Workflow
Natural Language → SQL
- Use the
schemacommand to extract the database table structure - Use the schema as context to translate the user's natural language request into SQL
- Use the
optimizecommand to check if the generated SQL can be improved - Use the
explaincommand to verify the query execution plan
# Step 1: Extract schema (compact mode, suitable for LLM context)
python3 scripts/sql_query_helper.py --db-path data.db schema --compact
# Step 2: Analyze SQL optimization suggestions
python3 scripts/sql_query_helper.py optimize "SELECT * FROM orders WHERE user_id = 100"
# Step 3: View EXPLAIN execution plan
python3 scripts/sql_query_helper.py --db-path data.db explain "SELECT * FROM orders WHERE user_id = 100"Quick Start
Schema Extraction
# Extract full schema (JSON format, with sample data)
python3 scripts/sql_query_helper.py --db-path data.db schema
# Compact mode (plain text, suitable for embedding in prompts)
python3 scripts/sql_query_helper.py --db-path data.db schema --compact
# Skip data sampling
python3 scripts/sql_query_helper.py --db-path data.db schema --sample-rows 0
# PostgreSQL
python3 scripts/sql_query_helper.py --db-type postgres --dsn "host=localhost dbname=mydb user=reader" schema --compactQuery Optimization Analysis
# Analyze SQL query (no database connection required, pure rule-based detection)
python3 scripts/sql_query_helper.py optimize "SELECT * FROM orders o, users u WHERE o.user_id = u.id"
python3 scripts/sql_query_helper.py optimize "SELECT name FROM users WHERE UPPER(email) LIKE '%@GMAIL.COM'"
python3 scripts/sql_query_helper.py optimize "SELECT id, (SELECT COUNT(*) FROM orders WHERE user_id = u.id) AS order_count FROM users u"EXPLAIN Interpretation
# SQLite EXPLAIN
python3 scripts/sql_query_helper.py --db-path data.db explain "SELECT * FROM orders WHERE user_id = 100"
# PostgreSQL EXPLAIN
python3 scripts/sql_query_helper.py --db-type postgres --dsn "host=localhost dbname=mydb" explain "SELECT * FROM orders WHERE user_id = 100"
# PostgreSQL EXPLAIN ANALYZE (actually executes the query for real-world data)
python3 scripts/sql_query_helper.py --db-type postgres --dsn "host=localhost dbname=mydb" explain --analyze "SELECT * FROM orders WHERE user_id = 100"Detailed Usage
Global Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
--db-type | No | sqlite | Database type: sqlite or postgres |
--db-path | For schema/explain (SQLite) | — | SQLite database file path |
--dsn | For schema/explain (PostgreSQL) | — | PostgreSQL connection string |
Subcommands
| Command | Requires Database | Description |
|---|---|---|
schema | Yes | Extract database table structure |
optimize <sql> | No | SQL query optimization analysis (pure rule-based detection) |
explain <sql> | Yes | Run EXPLAIN and interpret the plan |
schema Parameters
| Parameter | Default | Description |
|---|---|---|
--sample-rows, -n | 3 | Number of sample rows per table (0 to skip sampling) |
--compact | false | Compact text output (suitable for embedding in prompts) |
explain Parameters
| Parameter | Default | Description |
|---|---|---|
--analyze | false | Use EXPLAIN ANALYZE (PostgreSQL only; actually executes the query) |
Optimization Rules
The optimize command detects the following 13 SQL anti-patterns:
| Rule | Severity | Description |
|---|---|---|
| avoid-select-star | warning | Avoid SELECT *; explicitly list column names |
| unbounded-query | info | Missing WHERE and LIMIT clauses |
| leading-wildcard-like | warning | LIKE '%...' causes index to be bypassed |
| or-condition | info | OR conditions may prevent index usage |
| not-in-subquery | warning | NOT IN (subquery) has poor performance |
| scalar-subquery | warning | Scalar subqueries in SELECT execute row-by-row |
| function-on-column | warning | Functions on columns in WHERE prevent index usage |
| implicit-join | info | Implicit joins (comma-separated tables) are less readable |
| distinct-usage | info | DISTINCT may mask JOIN duplication issues |
| order-without-limit | info | ORDER BY without LIMIT |
| deep-nesting | warning | Deeply nested subqueries |
| having-without-group | warning | HAVING without GROUP BY |
| not-equal-filter | info | != conditions cannot effectively use indexes |
Show full SKILL.md (168 more words)Show less
EXPLAIN Interpretation Items
| Check | Applicable Database | Description |
|---|---|---|
| Full table scan | SQLite / PostgreSQL | Detects Seq Scan / SCAN TABLE |
| Auto temporary index | SQLite | SQLite auto-creates a temporary index, indicating a missing permanent index |
| Covering index | SQLite / PostgreSQL | Index contains all queried columns; no table lookup needed |
| Disk sort | PostgreSQL | Sort operation spills to disk |
| Nested loop join | PostgreSQL | Nested loop joins on large tables have poor performance |
| Row estimate deviation | PostgreSQL (ANALYZE) | Estimated rows differ from actual rows by more than 10x |
Output Examples
schema --compact
-- Database: sqlite
-- users (1500 rows): id INTEGER PK, name TEXT, email TEXT, age INTEGER, created_at TEXT
-- IDX(unique): idx_users_email on (email)
-- orders (8200 rows): id INTEGER PK, user_id INTEGER, amount REAL, status TEXT, created_at TEXT
-- FK: user_id -> users.id
-- IDX: idx_orders_user_id on (user_id)optimize
{
"sql": "SELECT * FROM orders o, users u WHERE o.user_id = u.id",
"issues": [
{
"severity": "warning",
"rule": "avoid-select-star",
"message": "Avoid SELECT *: only select the columns you need to reduce I/O and network transfer",
"suggestion": "Replace SELECT * with an explicit list of required column names"
},
{
"severity": "info",
"rule": "implicit-join",
"message": "Uses implicit join (comma-separated tables), which is less readable and error-prone",
"suggestion": "Use explicit JOIN ... ON syntax for better readability and maintainability"
}
]
}explain (SQLite)
{
"db_type": "sqlite",
"query": "SELECT * FROM orders WHERE user_id = 100",
"plan": [
{"id": 2, "parent": 0, "detail": "SEARCH orders USING INDEX idx_orders_user_id (user_id=?)"}
],
"interpretation": [
{
"severity": "ok",
"type": "index-search",
"detail": "Index lookup: idx_orders_user_id",
"suggestion": "Index lookup is efficient"
}
]
}Safety Mechanisms
- Read-only connections: SQLite uses
?mode=ro; PostgreSQL usesSET SESSION READ ONLY - SQL whitelist: Only allows statements starting with SELECT / WITH / EXPLAIN
- Dangerous keyword blocking: INSERT, UPDATE, DELETE, DROP, and 30+ other keywords are blocked
- Multi-statement blocking: Semicolon-separated multiple SQL statements are rejected
- Identifier escaping: Table names are double-quote escaped to prevent SQL injection
Dependencies
- Python 3.8+ (
sqlite3is a built-in module) - PostgreSQL support requires:
pip install psycopg2-binary - The
optimizecommand requires no database connection and has zero external dependencies
© zebbern, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/sql-insight of zebbern/claude-code-guide.
- SKILL.md
- LICENSE
- scripts/sql_query_helper.py
Open the folder on GitHubat commit 4698e3b
Compare with similar skills
SQL Insight 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| SQL Insight this skillzebbern/claude-code-guide | 4.6k | — | ~2.1k | Automated safety check: Pass | MIT | |
| SQL Expertaiskillstore/marketplace | 430 | — | ~3.4k | Automated safety check: Pass | None | |
| SQL ToolkitLeoYeAI/openclaw-master-skills | 2.2k | — | ~3k | Automated safety check: Pass | MIT | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT | |
| PostgreSQL Documentation Reference2025Emma/vibe-coding-cn | 23k | 1 repos | ~19k | Automated safety check: Pass | MIT | |
| Squixeduardofuncao/squix | 273 | — | ~784 | Automated safety check: Pass | MIT |
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Questions about SQL Insight
What does SQL Insight do?
Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. SQL Insight is an agent skill from zebbern/claude-code-guide. Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL.
When should I use SQL Insight?
SQL Insight fits situations like: tasks that involve Query optimization; tasks that involve SQL.
How do I install SQL Insight in Claude Code?
Run `npx skills add zebbern/claude-code-guide --skill sql-insight -a claude-code`. Or copy the skill folder (skills/sql-insight in zebbern/claude-code-guide) into .claude/skills/sql-insight in your project. Claude Code loads it when a task matches its description.
How do I install SQL Insight in Codex?
Run `npx skills add zebbern/claude-code-guide --skill sql-insight -a codex`. Or copy the skill folder (skills/sql-insight in zebbern/claude-code-guide) into .agents/skills/sql-insight in your project. Codex loads it when a task matches its description.
Can I use SQL Insight 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 zebbern/claude-code-guide --skill sql-insight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sql-insight, .gemini/skills/sql-insight, .github/skills/sql-insight and .opencode/skills/sql-insight in your project.
What does SQL Insight need to run?
Going by SKILL.md and its folder, SQL Insight needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
Does SQL Insight access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is SQL Insight 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does SQL Insight use?
SQL Insight is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does SQL Insight use?
About 2.1k tokens (SKILL.md is roughly 8.4k 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 SQL Insight?
Skills that share tags, products or a category with SQL Insight: SQL Expert (aiskillstore/marketplace, 430 stars), SQL Toolkit (LeoYeAI/openclaw-master-skills, 2.2k stars), SQL Database Support for pREST (prest/prest, 4.6k stars) and PostgreSQL Documentation Reference (2025Emma/vibe-coding-cn, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SQL Insight?
zebbern (a GitHub user) maintains it in zebbern/claude-code-guide, which has 4,648 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 7, 2026.
Source: zebbern/claude-code-guide on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.