Chdb Datastore
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit.
$ npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks-solutions/ai-dev-kit general-quality --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/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.test/eval-criteria/general-quality .claude/skills/general-quality && 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 "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .claude/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-qualityType 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 databricks-solutions/ai-dev-kit --skill general-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks-solutions/ai-dev-kit general-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.test/eval-criteria/general-quality .agents/skills/general-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .agents/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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 databricks-solutions/ai-dev-kit --skill general-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks-solutions/ai-dev-kit general-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.test/eval-criteria/general-quality .cursor/skills/general-quality && 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 "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .cursor/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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/databricks-solutions/ai-dev-kit.git --path .test/eval-criteria/general-quality--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 databricks-solutions/ai-dev-kit --skill general-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks-solutions/ai-dev-kit general-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.test/eval-criteria/general-quality .gemini/skills/general-quality && 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 "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .gemini/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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 databricks-solutions/ai-dev-kit general-qualityInstalls 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 databricks-solutions/ai-dev-kit --skill general-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.test/eval-criteria/general-quality .github/skills/general-quality && 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 "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .github/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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 databricks-solutions/ai-dev-kit --skill general-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks-solutions/ai-dev-kit general-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.test/eval-criteria/general-quality .opencode/skills/general-quality && 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 "general-quality" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/general-quality into .opencode/skills/general-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "general-quality", 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.
general-qualityGeneral response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit.
General Quality is an agent skill from databricks-solutions/ai-dev-kit. General response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability, clarity, and hallucination detection.
Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Databricks. The repository describes itself as: Databricks Toolkit for Coding Agents provided by Field Engineering.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b059fd0. 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.
General Quality loads about 358 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 162 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 162 words (~358 tokens).
“When evaluating any Claude Code agent trace, check these dimensions:”
Just SKILL.md in .test/eval-criteria/general-quality of databricks-solutions/ai-dev-kit.
Open the folder on GitHubat commit b059fd0
General Quality 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 |
|---|---|---|---|---|---|---|
| General Quality this skilldatabricks-solutions/ai-dev-kit | 1.9k | — | ~358 | Automated safety check: Pass | Custom licence | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Dbt Databricks PR Readydatabricks/dbt-databricks | 379 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Bump CLI Compatibility Manifestdatabricks/cli | 404 | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Databricks CLI SDK Bumpdatabricks/cli | 404 | — | ~2k | Automated safety check: Notes | Custom licence |
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
databricks/dbt-databricks
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
databricks/cli
Updates the Databricks CLI's cli-compat.json with new AppKit and Agent Skills versions and opens a pull request for the change.
databricks/cli
Bumps the databricks-sdk-go dependency in the Databricks CLI together with its pinned OpenAPI spec SHA, then regenerates the files that depend on them.
mondoohq/mql
Upgrade an mql provider's vendored SDKs (all providers or a named subset), audit the new versions for breaking changes and fix call sites while keeping shipped MQL fields backwards-compatible, check…
databricks-solutions/ai-dev-kit
Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit.
databricks-solutions/ai-dev-kit
Python development guidance with code quality standards, error handling, testing practices, and environment management.
databricks-solutions/ai-dev-kit
Evaluates whether the agent selected appropriate MCP tools instead of shell workarounds.
databricks-solutions/ai-dev-kit
SQL evaluation criteria for Databricks. An agent skill from databricks-solutions/ai-dev-kit.
Works with
General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit. General Quality is an agent skill from databricks-solutions/ai-dev-kit. General response quality evaluation.
Run `npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a claude-code`. Or copy the skill folder (.test/eval-criteria/general-quality in databricks-solutions/ai-dev-kit) into .claude/skills/general-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a codex`. Or copy the skill folder (.test/eval-criteria/general-quality in databricks-solutions/ai-dev-kit) into .agents/skills/general-quality 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 databricks-solutions/ai-dev-kit --skill general-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/general-quality, .gemini/skills/general-quality, .github/skills/general-quality and .opencode/skills/general-quality in your project.
SKILL.md names no scripts, command-line tools or credentials: General Quality 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.
General Quality has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 358 tokens (SKILL.md is roughly 1.4k 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 General Quality: Chdb Datastore (vemetric/vemetric, 394 stars), Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Dbt Databricks PR Ready (databricks/dbt-databricks, 379 stars) and Bump CLI Compatibility Manifest (databricks/cli, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
databricks-solutions (a GitHub organization) maintains it in databricks-solutions/ai-dev-kit, which has 1,938 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 13, 2026.
Source: databricks-solutions/ai-dev-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.