Natural
NPC-Worldwide/npcpy
Render the provided prompt template with Jinja context and send it to the active NPC's LLM.
Edit or improve the AI system prompt used in DBX Studio's AI chat.
$ npx skills add Dbxstudio/dbx-studio --skill system-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Dbxstudio/dbx-studio system-prompt --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/Dbxstudio/dbx-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/system-prompt .claude/skills/system-prompt && 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 "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .claude/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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/Dbxstudio/dbx-studio/tree/main/skills/system-promptType 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 Dbxstudio/dbx-studio --skill system-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Dbxstudio/dbx-studio system-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dbxstudio/dbx-studio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/system-prompt .agents/skills/system-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .agents/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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 Dbxstudio/dbx-studio --skill system-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Dbxstudio/dbx-studio system-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dbxstudio/dbx-studio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/system-prompt .cursor/skills/system-prompt && 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 "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .cursor/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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/Dbxstudio/dbx-studio.git --path skills/system-prompt--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 Dbxstudio/dbx-studio --skill system-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Dbxstudio/dbx-studio system-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dbxstudio/dbx-studio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/system-prompt .gemini/skills/system-prompt && 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 "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .gemini/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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 Dbxstudio/dbx-studio system-promptInstalls 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 Dbxstudio/dbx-studio --skill system-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Dbxstudio/dbx-studio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/system-prompt .github/skills/system-prompt && 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 "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .github/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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 Dbxstudio/dbx-studio --skill system-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Dbxstudio/dbx-studio system-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dbxstudio/dbx-studio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/system-prompt .opencode/skills/system-prompt && 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 "system-prompt" agent skill from https://github.com/Dbxstudio/dbx-studio/tree/main/skills/system-prompt into .opencode/skills/system-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-prompt", 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.
system-promptEdit or improve the AI system prompt used in DBX Studio's AI chat.
System Prompt is an agent skill from Dbxstudio/dbx-studio. Edit or improve the AI system prompt used in DBX Studio's AI chat. Invoke when the user wants to change how the AI responds, its tone, tool usage order, or response format.
Its SKILL.md is about 770 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 AI & LLM Engineering, covering Prompt engineering. It works with SQL. The repository describes itself as: Free Open-source AI SQL client that helps developers and data teams explore databases using natural language. The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9592eb7. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
System Prompt loads about 773 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 179 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.
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.
The full file from Dbxstudio/dbx-studio at commit 9592eb7, republished under its Apache-2.0 licence (© Dbxstudio). 179 words, ~773 tokens.
.claude/skills/system-prompt/SKILL.md (or your agent's skills folder).There are two system prompts in this project:
File: apps/api/src/routes/ai-stream.ts
Lines: ~132–172 (with schema) and ~176–202 (without schema)
Variable: contextPrompt (built inline, not a constant)
callAnthropicWithTools, callOpenAIWithTools)File: apps/api/src/orpc/routers/ai/providersWithTools.ts
Variable: SYSTEM_PROMPT_WITH_TOOLS (top of file)
You are a SQL assistant...
## Tools Available ← list 5 tools
## Response Style ← 5 rules: be direct, show results, use tools, minimal explanation, SQL format
## Examples ← 2-3 concrete input/output examples
## Context ← dynamic schema from generateSQLPrompt()
Schema: "<schema>"
## User Query ← the actual user message## Tools Available section in sync with actual tools in tools.ts## Examples realistic to real user queries${enhancedPrompt} injection must stay — it contains live schema contextSchema: "${schema || 'public'}" line — it scopes queriesBoth prompts now follow this unified structure:
You are DBX Studio's AI assistant — expert SQL analyst and data explorer.
## Tools Available (ordered by when to use)
1. read_schema / get_table_schema — FIRST, when schema is unknown
2. execute_query / execute_sql_query — run SELECT/WITH queries
3. get_table_data / select_data — preview or filter rows
4. get_table_stats — distributions and row counts
5. generate_chart / generate_bar_graph — visualization
6. describe_table / get_enums — column details, enum values
## Response Rules
1. Results first — answer before explaining
2. Always use tools — never guess schema or data
3. Tool order matters (schema → query → chart)
4. Show SQL only when asked — use ```sql with UPPERCASE
5. Format numbers clearly — **bold** key values
6. No filler words
## Chart Selection Guide
[line / bar / pie / scatter / histogram guidance]
## Query Safety
[SELECT/WITH only, always LIMIT, quote identifiers]
## Context / Schema (streaming only)
{enhancedPrompt}
Schema: "{schema}"
## User Query
{query}© Dbxstudio, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/system-prompt of Dbxstudio/dbx-studio.
Open the folder on GitHubat commit 9592eb7
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Dbxstudio/dbx-studio, which our catalogue first saw on October 7, 2026.
System Prompt 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 |
|---|---|---|---|---|---|---|
| System Prompt this skillDbxstudio/dbx-studio | 103 | 1 repos | ~773 | Automated safety check: Pass | Apache-2.0 | |
| NaturalNPC-Worldwide/npcpy | 1.5k | — | ~161 | Automated safety check: Pass | MIT | |
| Hugging Face Datasetssickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 617 | 15 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT |
NPC-Worldwide/npcpy
Render the provided prompt template with Jinja context and send it to the active NPC's LLM.
sickn33/agentic-awesome-skills
Create and manage datasets on Hugging Face Hub. An agent skill from sickn33/agentic-awesome-skills.
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Piebald-AI/tweakcc
Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.
MoizIbnYousaf/ai-agent-skills
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.
Dbxstudio/dbx-studio
Reference for all AI tools available in DBX Studio's AI chat system.
Dbxstudio/dbx-studio
Systematic database and table profiling for DBX Studio. An agent skill from Dbxstudio/dbx-studio.
Dbxstudio/dbx-studio
Chart and visualization generation for DBX Studio. An agent skill from Dbxstudio/dbx-studio.
Dbxstudio/dbx-studio
Expert SQL query generation for DBX Studio. An agent skill from Dbxstudio/dbx-studio.
Works with
Categories
Edit or improve the AI system prompt used in DBX Studio's AI chat. System Prompt is an agent skill from Dbxstudio/dbx-studio. Edit or improve the AI system prompt used in DBX Studio's AI chat.
System Prompt fits situations like: wants to change how the AI responds; tool usage order; response format.
Run `npx skills add Dbxstudio/dbx-studio --skill system-prompt -a claude-code`. Or copy the skill folder (skills/system-prompt in Dbxstudio/dbx-studio) into .claude/skills/system-prompt in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Dbxstudio/dbx-studio --skill system-prompt -a codex`. Or copy the skill folder (skills/system-prompt in Dbxstudio/dbx-studio) into .agents/skills/system-prompt in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dbxstudio/dbx-studio --skill system-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-prompt, .gemini/skills/system-prompt, .github/skills/system-prompt and .opencode/skills/system-prompt in your project.
SKILL.md names no scripts, command-line tools or credentials: System Prompt is instructions for the agent only.
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.
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.
System Prompt is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 773 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with System Prompt: Natural (NPC-Worldwide/npcpy, 1.5k stars), Hugging Face Datasets (sickn33/agentic-awesome-skills, 47k stars), Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars) and Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Dbxstudio (a GitHub organization) maintains it in Dbxstudio/dbx-studio, which has 103 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 3, 2026.
Source: Dbxstudio/dbx-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.