SQL Queries
phuryn/pm-skills
Generate SQL queries from natural language descriptions. An agent skill from phuryn/pm-skills.
DataBrain intelligence data query assistant. An agent skill from infometa/workbuddyskills.
Install Databrain Intelligence
$ npx skills add infometa/workbuddyskills --skill databrain-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills databrain-intelligence --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .claude/skills/databrain-intelligence && 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 "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .claude/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligenceType 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 infometa/workbuddyskills --skill databrain-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills databrain-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .agents/skills/databrain-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .agents/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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 infometa/workbuddyskills --skill databrain-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills databrain-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .cursor/skills/databrain-intelligence && 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 "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .cursor/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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/infometa/workbuddyskills.git --path experts/databrain-agent-v2/skills/databrain-intelligence--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 infometa/workbuddyskills --skill databrain-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills databrain-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .gemini/skills/databrain-intelligence && 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 "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .gemini/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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 infometa/workbuddyskills databrain-intelligenceInstalls 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 infometa/workbuddyskills --skill databrain-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .github/skills/databrain-intelligence && 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 "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .github/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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 infometa/workbuddyskills --skill databrain-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills databrain-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/databrain-agent-v2/skills/databrain-intelligence .opencode/skills/databrain-intelligence && 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 "databrain-intelligence" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/databrain-agent-v2/skills/databrain-intelligence into .opencode/skills/databrain-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-intelligence", 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
databrain-intelligence- GitHub stars
- 344
- Token cost
- ~8k tokens
- SKILL.md length
- 3,241 words
- Files
- 62 (incl. scripts, references)
- Skills in repo
- 212
- Repo updated
- First seen
- Licence
- None found
At a glance
DataBrain intelligence data query assistant. An agent skill from infometa/workbuddyskills.
- Works in 4 steps: Understand & Load Reference → 5 — Resolve Entity IDs → SQL Generation → …
- Keywords: intelligence
- SKILL.md covers Hard Constraints, Core Tools, Workflow and BigQuery SQL Quick Reference, plus 2 more sections
- Calls python
What it does
Databrain Intelligence is an agent skill from infometa/workbuddyskills. DataBrain intelligence data query assistant. Translates natural language questions into executable BigQuery SQL for the intelligence domain: market data (Sensortower, Alinea Analytics [Steam raw default], MScience, GSD, Ampere, NPD; Gamalytic legacy), streaming data (Streamhatchet), Steam live CCU (fetchsteamccu.py + warehouse spider/Alinea), Roblox CCU rankings & anomaly detection, mini game rankings (微信/抖音/Facebook小游戏榜单), report metadata (external & internal research reports), platform coverage statistics…
Its SKILL.md is about 8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 64 other files, including scripts and reference files.
It sits in Databases, covering Data warehousing, Database schema design and Anomaly detection. It works with SQL and Google BigQuery. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Keywords: intelligence
- Tasks that involve Data warehousing
- Tasks that involve Database schema design
Example prompts
- “/databrain-intelligence”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Understand & Load Reference
- 5 — Resolve Entity IDs
- SQL Generation
- Execute & Fix
What it can do on your machine
Read from SKILL.md and the folder at commit 75a5ad9. 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/, which the agent can run.
Shell commands in SKILL.md call:
python
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
Databrain Intelligence loads about 8k tokens when it runs, and up to ~88k if it reads all its reference files. Until then it costs about 244 tokens; SKILL.md has 3,241 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,241 words (~8,007 tokens).
“Translate natural language questions about game market intelligence into executable BigQuery SQL using the DataLab HTTP API.”
- name
- databrain-intelligence
Files
SKILL.md and 61 other files (scripts, references) in experts/databrain-agent-v2/skills/databrain-intelligence of infometa/workbuddyskills.
- SKILL.md
- examples/alinea_queries.sql
- examples/benchmark/distribution_stats.sql
- examples/benchmark/filtered_benchmark.sql
- examples/benchmark/metric_discovery.sql
- examples/benchmark/single_game_benchmark.sql
- examples/benchmark/topn_games.sql
- examples/intelligence_queries.sql
- examples/sensortower/country_revenue_share.sql
- examples/sensortower/country_topn_revenue.sql
- examples/sensortower/fallback_entity_name.sql
- examples/sensortower/lifetime_revenue.sql
- examples/sensortower/macro_region_share.sql
- examples/sensortower/monthly_trend.sql
- examples/sensortower/multi_country_trend.sql
- examples/sensortower/platform_pivot.sql
- examples/sensortower/retention_lifetime.sql
- examples/sensortower/retention_per_platform.sql
- … and 44 more
Open the folder on GitHubat commit 75a5ad9
Compare with similar skills
Databrain Intelligence 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 |
|---|---|---|---|---|---|---|
| Databrain Intelligence this skillinfometa/workbuddyskills | 344 | — | ~8k | Automated safety check: Pass | None | |
| SQL Queriesphuryn/pm-skills | 27k | — | ~907 | Automated safety check: Pass | MIT | |
| Databricks Dbsqldatabricks/databricks-agent-skills | 345 | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| SQL Prodavila7/claude-code-templates | 32k | 9 repos | ~1.9k | Automated safety check: Pass | MIT | |
| dbt Snowflake to BigQuery Translatorgoogle/skills | 21k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Schema Explorationtimescale/pg-aiguide | 1.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Databricks Dbsql
databricks/databricks-agent-skills
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities.
SQL Pro
davila7/claude-code-templates
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques.
- Official
dbt Snowflake to BigQuery Translator
google/skills
Translates Snowflake dbt SQL models into standardized BigQuery SQL, keeping Jinja constructs and tracking progress in a migration tasks file.
Schema Exploration
timescale/pg-aiguide
Explore an existing PostgreSQL database before answering questions about its data or writing SQL.
Modeler
sidequery/sidemantic
Build, validate, and manage semantic models using Sidemantic.
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Questions about Databrain Intelligence
What does Databrain Intelligence do?
DataBrain intelligence data query assistant. An agent skill from infometa/workbuddyskills. Databrain Intelligence is an agent skill from infometa/workbuddyskills. DataBrain intelligence data query assistant.
When should I use Databrain Intelligence?
Databrain Intelligence fits situations like: keywords: intelligence; tasks that involve Data warehousing; tasks that involve Database schema design.
How do I install Databrain Intelligence in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill databrain-intelligence -a claude-code`. Or copy the skill folder (experts/databrain-agent-v2/skills/databrain-intelligence in infometa/workbuddyskills) into .claude/skills/databrain-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Databrain Intelligence in Codex?
Run `npx skills add infometa/workbuddyskills --skill databrain-intelligence -a codex`. Or copy the skill folder (experts/databrain-agent-v2/skills/databrain-intelligence in infometa/workbuddyskills) into .agents/skills/databrain-intelligence in your project. Codex loads it when a task matches its description.
Can I use Databrain Intelligence 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 infometa/workbuddyskills --skill databrain-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databrain-intelligence, .gemini/skills/databrain-intelligence, .github/skills/databrain-intelligence and .opencode/skills/databrain-intelligence in your project.
What does Databrain Intelligence need to run?
Going by SKILL.md and its folder, Databrain Intelligence needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Databrain Intelligence 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 Databrain Intelligence 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 Databrain Intelligence use?
No licence was found for Databrain Intelligence or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Databrain Intelligence use?
About 8k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 80k tokens, read only when the agent opens those files.
What are the alternatives to Databrain Intelligence?
Skills that share tags, products or a category with Databrain Intelligence: SQL Queries (phuryn/pm-skills, 27k stars), Databricks Dbsql (databricks/databricks-agent-skills, 345 stars), SQL Pro (davila7/claude-code-templates, 32k stars) and dbt Snowflake to BigQuery Translator (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databrain Intelligence?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.