SQL Queries
killvxk/pm-skills-zh
将自然语言描述转化为 SQL 查询语句。支持 BigQuery、PostgreSQL、MySQL 及其他方言。可从上传的结构图或文档中读取数据库结构。适用于编写 SQL、构建数据报表、探查数据库，或将业务问题转化为查询语句。
Generate SQL queries from natural language descriptions. An agent skill from phuryn/pm-skills.
Install SQL Queries
$ npx skills add phuryn/pm-skills --skill sql-queries -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install phuryn/pm-skills sql-queries --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/phuryn/pm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .claude/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .claude/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queriesType 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 phuryn/pm-skills --skill sql-queries -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install phuryn/pm-skills sql-queries --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/phuryn/pm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .agents/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .agents/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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 phuryn/pm-skills --skill sql-queries -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install phuryn/pm-skills sql-queries --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/phuryn/pm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .cursor/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .cursor/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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/phuryn/pm-skills.git --path pm-data-analytics/skills/sql-queries--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 phuryn/pm-skills --skill sql-queries -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install phuryn/pm-skills sql-queries --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/phuryn/pm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .gemini/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .gemini/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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 phuryn/pm-skills sql-queriesInstalls 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 phuryn/pm-skills --skill sql-queries -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/phuryn/pm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .github/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .github/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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 phuryn/pm-skills --skill sql-queries -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install phuryn/pm-skills sql-queries --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/phuryn/pm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/pm-data-analytics/skills/sql-queries .opencode/skills/sql-queries && 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-queries" agent skill from https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries into .opencode/skills/sql-queries/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-queries", 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-queries- GitHub stars
- 27k
- Token cost
- ~907 tokens
- SKILL.md length
- 356 words
- Files
- 1
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate SQL queries from natural language descriptions. An agent skill from phuryn/pm-skills.
- Works in 4 steps: Understand Your Database Schema → Process Your Request → Generate Optimized Query → …
- Building data reports
- SKILL.md covers Purpose, How It Works, Usage Examples and Key Capabilities, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
SQL Queries is an agent skill from phuryn/pm-skills. Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
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 Databases, covering SQL, Data warehousing and Database schema design. It works with SQL, Google BigQuery, MySQL and PostgreSQL. The repository describes itself as: PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth. The licence is MIT.
When your agent uses it
- Building data reports
- Exploring databases
- Translating business questions into queries
Example prompts
- “/sql-queries”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 8607e3b. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
productcompass.pm
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 Queries loads about 907 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 356 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from phuryn/pm-skills at commit 8607e3b, republished under its MIT licence (© phuryn). 356 words, ~907 tokens.
Download SKILL.mdSave it as
.claude/skills/sql-queries/SKILL.md (or your agent's skills folder).- name
- sql-queries
- description
- Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
SQL Query Generator
Purpose
Transform natural language requirements into optimized SQL queries across multiple database platforms. This skill helps product managers, analysts, and engineers generate accurate queries without manual syntax work.
How It Works
Step 1: Understand Your Database Schema
- If you provide a schema file (SQL, documentation, or diagram description), I will read and analyze it
- Extract table names, column definitions, data types, and relationships
- Identify primary keys, foreign keys, and indexing strategies
Step 2: Process Your Request
- Clarify the exact data you need to retrieve or analyze
- Confirm the SQL dialect (BigQuery, PostgreSQL, MySQL, Snowflake, etc.)
- Ask for any additional requirements (filters, aggregations, sorting)
Step 3: Generate Optimized Query
- Write efficient SQL that leverages your database structure
- Include comments explaining complex logic
- Add performance considerations for large datasets
- Provide alternative approaches if applicable
Step 4: Explain and Test
- Explain the query logic in plain English
- Suggest how to test or validate results
- Offer tips for performance optimization
- If you want, generate a test script or sample data
Usage Examples
Example 1: Query from Schema File
Upload your database_schema.sql file and say:
"Generate a query to find users who signed up in the last 30 days
and had at least 5 active sessions"Example 2: Query from Diagram Description
"Here's my database: Users table (id, email, created_at), Sessions table
(id, user_id, timestamp, duration). Generate a query for average session
duration per user in January 2026."Example 3: Complex Analysis Query
"Create a BigQuery query to analyze our revenue by region and customer tier,
including year-over-year growth rates."Show full SKILL.md (168 more words)Show less
Key Capabilities
- Multi-Dialect Support: Works with BigQuery, PostgreSQL, MySQL, Snowflake, SQL Server
- File Reading: Reads schema files, SQL dumps, and data documentation
- Query Optimization: Suggests indexes, partitioning, and performance improvements
- Explanation: Breaks down queries for learning and documentation
- Testing: Can generate test queries and sample data scripts
- Script Execution: Create executable SQL scripts for your database
Tips for Best Results
- Provide context: Share your database schema or structure
- Be specific: Clearly describe what data you need and any filters
- Mention database: Specify which SQL dialect you're using
- Include constraints: Mention data volume, time ranges, and performance needs
- Request format: Ask for the query result format if you need specific output
Output Format
You'll receive:
- SQL Query: Production-ready SQL code with comments
- Explanation: What the query does and how it works
- Performance Notes: Optimization tips and considerations
- Test Script (if requested): Sample data and validation queries
Further Reading
© phuryn, 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 pm-data-analytics/skills/sql-queries of phuryn/pm-skills.
Open the folder on GitHubat commit 8607e3b
Compare with similar skills
SQL Queries 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 Queries this skillphuryn/pm-skills | 27k | — | ~907 | Automated safety check: Pass | MIT | |
| SQL Querieskillvxk/pm-skills-zh | 167 | — | ~423 | Automated safety check: Pass | MIT | |
| Agent SQL Proxiaoyuge886/aigc | 198 | — | ~315 | Automated safety check: Pass | MIT | |
| SQL Query Explainermohitagw15856/pm-claude-skills | 1.4k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Chdb SQLvemetric/vemetric | 394 | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Golang Databaseunxed/f4 | 240 | 2 repos | ~2.9k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about SQL Queries
What does SQL Queries do?
Generate SQL queries from natural language descriptions. An agent skill from phuryn/pm-skills. SQL Queries is an agent skill from phuryn/pm-skills. Generate SQL queries from natural language descriptions.
When should I use SQL Queries?
SQL Queries fits situations like: building data reports; exploring databases; translating business questions into queries.
How do I install SQL Queries in Claude Code?
Run `npx skills add phuryn/pm-skills --skill sql-queries -a claude-code`. Or copy the skill folder (pm-data-analytics/skills/sql-queries in phuryn/pm-skills) into .claude/skills/sql-queries in your project. Claude Code loads it when a task matches its description.
How do I install SQL Queries in Codex?
Run `npx skills add phuryn/pm-skills --skill sql-queries -a codex`. Or copy the skill folder (pm-data-analytics/skills/sql-queries in phuryn/pm-skills) into .agents/skills/sql-queries in your project. Codex loads it when a task matches its description.
Can I use SQL Queries 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 phuryn/pm-skills --skill sql-queries -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-queries, .gemini/skills/sql-queries, .github/skills/sql-queries and .opencode/skills/sql-queries in your project.
What does SQL Queries need to run?
SKILL.md names no scripts, command-line tools or credentials: SQL Queries is instructions for the agent only.
Does SQL Queries access the network?
SKILL.md names 1 domain. As links in the text: productcompass.pm. This is read from the text; nothing was executed.
Is SQL Queries 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 SQL Queries use?
SQL Queries 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 SQL Queries use?
About 907 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 SQL Queries?
Skills that share tags, products or a category with SQL Queries: SQL Queries (killvxk/pm-skills-zh, 167 stars), Agent SQL Pro (xiaoyuge886/aigc, 198 stars), SQL Query Explainer (mohitagw15856/pm-claude-skills, 1.4k stars) and Chdb SQL (vemetric/vemetric, 394 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SQL Queries?
phuryn (a GitHub user) maintains it in phuryn/pm-skills, which has 26,809 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on September 14, 2026.
Source: phuryn/pm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.