Drizzle Orm
growupanand/ConvoForm
Type-safe SQL ORM for TypeScript with zero runtime overhead. An agent skill from growupanand/ConvoForm.
Build or review Bun fullstack TypeScript code with Drizzle-backed SQL.
$ npx skills add databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databuddy-analytics/Databuddy typescript-bun-drizzle-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/databuddy-analytics/Databuddy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/bun-fullstack .claude/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .claude/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstackType 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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databuddy-analytics/Databuddy typescript-bun-drizzle-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databuddy-analytics/Databuddy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/bun-fullstack .agents/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .agents/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databuddy-analytics/Databuddy typescript-bun-drizzle-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databuddy-analytics/Databuddy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/bun-fullstack .cursor/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .cursor/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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/databuddy-analytics/Databuddy.git --path .agents/skills/bun-fullstack--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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databuddy-analytics/Databuddy typescript-bun-drizzle-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databuddy-analytics/Databuddy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/bun-fullstack .gemini/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .gemini/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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 databuddy-analytics/Databuddy typescript-bun-drizzle-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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databuddy-analytics/Databuddy.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/bun-fullstack .github/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .github/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-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 databuddy-analytics/Databuddy typescript-bun-drizzle-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databuddy-analytics/Databuddy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/bun-fullstack .opencode/skills/typescript-bun-drizzle-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 "typescript-bun-drizzle-quality" agent skill from https://github.com/databuddy-analytics/Databuddy/tree/main/.agents/skills/bun-fullstack into .opencode/skills/typescript-bun-drizzle-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typescript-bun-drizzle-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.
typescript-bun-drizzle-qualityBuild or review Bun fullstack TypeScript code with Drizzle-backed SQL.
Typescript Bun Drizzle Quality is an agent skill from databuddy-analytics/Databuddy. Build or review Bun fullstack TypeScript code with Drizzle-backed SQL. Use for backend or cross-layer changes touching API/domain logic, schema or query design, migrations, runtime/type debugging, and boundary validation between contracts, business rules, and persistence.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/drizzle-patterns.md`, `references/examples/api-boundary.md` and `references/examples/drizzle-transaction.md`).
It sits in Databases, covering ORMs and data access. It works with TypeScript and SQL. The repository describes itself as: Open-source product analytics for startups: track visitors, events, funnels, and goals without cookies, and ask Databunny, the built-in AI analyst. Uptime, feature flags, and… The licence is AGPL-3.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c942138. 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.
Shell commands in SKILL.md call:
bunFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
orm.drizzle.teambun.shzod.devturbo.buildFrom 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.
Typescript Bun Drizzle Quality loads about 1.8k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 881 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 databuddy-analytics/Databuddy at commit c942138, republished under its AGPL-3.0 licence (© databuddy-analytics). 881 words, ~1,834 tokens.
.claude/skills/typescript-bun-drizzle-quality/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this as an umbrella fullstack skill for Bun + TypeScript + Drizzle work.
For slop-reduction/refactor passes focused on deleting custom helpers/types/assertions, use
../desloppify/SKILL.md alongside this skill.
Deliver production-grade code by optimizing for:
Always follow repository-level agent rules (for example AGENTS.md) when they are stricter than this skill.
In this repository, enforce these defaults while using this skill:
try/catch where practical; prefer explicit control flowelse; prefer early returnsany and broad assertionsBun.file() where practicalChoose the track before coding:
If multiple tracks apply, run App/API first, then Data layer, then Integration checks.
Before coding, pin down:
If context is missing, ask only for blocking details. Otherwise proceed with explicit assumptions.
Distill practices into the target repository instead of assuming fixed commands or structure.
Before implementation or review:
Do not assume naming conventions like test:unit or test:e2e; infer from scripts and workflow usage.
Treat test design and test execution as first-class implementation work.
Use this decision flow:
test is guarded (for example intentionally fails), do not run tests from rootTechnical expectations for Bun repositories:
bun test, --watch, --preload, --timeout, path filters)Do not mark work complete unless one of these is true:
For deeper guidance, read references/testing-patterns.md.
For copyable boundary snippets, read references/examples/integration-boundary-test.md.
Prefer:
unknown + schema validation for untrusted inputAvoid:
any unless unavoidable and scoped with justificationas assertions that bypass type checksUse Zod (or equivalent) to enforce runtime contracts at process boundaries.
For copyable handler patterns, read references/examples/api-boundary.md.
Use Bun-native patterns when they simplify runtime behavior:
Bun.file, Bun.writeKeep Node compatibility shims only when required by dependencies or deployment targets.
When touching schema, models, or queries:
For deeper patterns, read references/drizzle-patterns.md.
For copyable transaction/query patterns, read references/examples/drizzle-transaction.md.
When a change crosses boundaries, explicitly validate:
Use the review rubric in references/quality-checklist.md to structure findings.
For end-to-end mapping examples, read references/examples/fullstack-flow.md.
Use this as the canonical output template for this skill:
Keep output concise and concrete. Avoid generic "looks good" conclusions without evidence.
Use official docs when clarifying edge behavior:
© databuddy-analytics, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in .agents/skills/bun-fullstack of databuddy-analytics/Databuddy.
Open the folder on GitHubat commit c942138
Typescript Bun Drizzle 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 |
|---|---|---|---|---|---|---|
| Typescript Bun Drizzle Quality this skilldatabuddy-analytics/Databuddy | 1.2k | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Drizzle Ormgrowupanand/ConvoForm | 102 | 1 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Drizzle Orm Expertdavila7/claude-code-templates | 32k | 3 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Database Schemaalinaqi/maggy | 707 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Drizzle Ormericrisco/rsc-harness | 174 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Prisma Ormericrisco/rsc-harness | 174 | — | ~3k | Automated safety check: Pass | MIT |
growupanand/ConvoForm
Type-safe SQL ORM for TypeScript with zero runtime overhead. An agent skill from growupanand/ConvoForm.
davila7/claude-code-templates
Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration.
alinaqi/maggy
Schema awareness - read before coding, type generation, prevent column errors
ericrisco/rsc-harness
A skill your agent uses when modeling data or querying with Drizzle ORM in TypeScript — pgTable schema in .ts, type-safe select/insert/relational queries, drizzle-kit migrations.
ericrisco/rsc-harness
A skill your agent uses when modeling data or writing type-safe queries with Prisma ORM in TypeScript — schema.prisma, prisma.config.ts, the generated Prisma Client, and Prisma Migrate, including…
supabase/supabase
A skill your agent uses whenever code will build, return, fetch, or execute SQL that runs against a user's real Postgres database — even when the request reads like an ordinary feature or bug fix…
databuddy-analytics/Databuddy
Integrate Databuddy analytics using the SDK, REST API, or MCP.
databuddy-analytics/Databuddy
Build multi-platform chat bots with Chat SDK (chat npm package).
databuddy-analytics/Databuddy
Help external users integrate Databuddy into their own apps.
databuddy-analytics/Databuddy
Design, implement, and review software using vertical slices (feature-first architecture) instead of horizontal layers.
databuddy-analytics/Databuddy
Work inside the Databuddy monorepo for internal implementation, debugging, review, and refactoring.
databuddy-analytics/Databuddy
A skill your agent uses whenever the Databuddy MCP server is available and the user wants analytics, errors, vitals, investigations, flags, links, annotations, funnels, or goals queried or changed.
Works with
Categories
Build or review Bun fullstack TypeScript code with Drizzle-backed SQL. Typescript Bun Drizzle Quality is an agent skill from databuddy-analytics/Databuddy. Build or review Bun fullstack TypeScript code with Drizzle-backed SQL.
Typescript Bun Drizzle Quality fits situations like: cross-layer changes touching API/domain logic; runtime/type debugging; boundary validation between contracts.
Run `npx skills add databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a claude-code`. Or copy the skill folder (.agents/skills/bun-fullstack in databuddy-analytics/Databuddy) into .claude/skills/typescript-bun-drizzle-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databuddy-analytics/Databuddy --skill typescript-bun-drizzle-quality -a codex`. Or copy the skill folder (.agents/skills/bun-fullstack in databuddy-analytics/Databuddy) into .agents/skills/typescript-bun-drizzle-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 databuddy-analytics/Databuddy --skill typescript-bun-drizzle-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/typescript-bun-drizzle-quality, .gemini/skills/typescript-bun-drizzle-quality, .github/skills/typescript-bun-drizzle-quality and .opencode/skills/typescript-bun-drizzle-quality in your project.
Going by SKILL.md and its folder, Typescript Bun Drizzle Quality needs the command-line tools its instructions call (bun).
SKILL.md names 4 domains. As links in the text: orm.drizzle.team, bun.sh, zod.dev and turbo.build. 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.
Typescript Bun Drizzle Quality is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k 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 3.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Typescript Bun Drizzle Quality: Drizzle Orm (growupanand/ConvoForm, 102 stars), Drizzle Orm Expert (davila7/claude-code-templates, 32k stars), Database Schema (alinaqi/maggy, 707 stars) and Drizzle Orm (ericrisco/rsc-harness, 174 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
databuddy-analytics (a GitHub organization) maintains it in databuddy-analytics/Databuddy, which has 1,188 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 9, 2026.
Source: databuddy-analytics/Databuddy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.