Trigger.dev Configuration
papermark/papermark
Configures Trigger.dev projects through trigger.config.ts, with build extensions for Prisma, Playwright, Puppeteer, FFmpeg, Python and system packages.
Run set-based INSERT, UPDATE and DELETE against Mendix entities through OQL statements, which the runtime supports and Studio Pro cannot author.
$ npx skills add mendixlabs/mxcli --skill mendix-bulk-oql-dml -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mendixlabs/mxcli mendix-bulk-oql-dml --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/mendixlabs/mxcli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .claude/skills/mendix-bulk-oql-dml && 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 "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .claude/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dmlType 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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mendixlabs/mxcli mendix-bulk-oql-dml --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mendixlabs/mxcli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .agents/skills/mendix-bulk-oql-dml && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .agents/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mendixlabs/mxcli mendix-bulk-oql-dml --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mendixlabs/mxcli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .cursor/skills/mendix-bulk-oql-dml && 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 "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .cursor/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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/mendixlabs/mxcli.git --path .claude/skills/packs/mendix-bulk-oql-dml--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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mendixlabs/mxcli mendix-bulk-oql-dml --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mendixlabs/mxcli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .gemini/skills/mendix-bulk-oql-dml && 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 "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .gemini/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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 mendixlabs/mxcli mendix-bulk-oql-dmlInstalls 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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mendixlabs/mxcli.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .github/skills/mendix-bulk-oql-dml && 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 "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .github/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mendixlabs/mxcli mendix-bulk-oql-dml --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mendixlabs/mxcli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/packs/mendix-bulk-oql-dml .opencode/skills/mendix-bulk-oql-dml && 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 "mendix-bulk-oql-dml" agent skill from https://github.com/mendixlabs/mxcli/tree/main/.claude/skills/packs/mendix-bulk-oql-dml into .opencode/skills/mendix-bulk-oql-dml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mendix-bulk-oql-dml", 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.
mendix-bulk-oql-dmlRun set-based INSERT, UPDATE and DELETE against Mendix entities through OQL statements, which the runtime supports and Studio Pro cannot author.
Mendix Bulk Oql Dml is an agent skill from mendixlabs/mxcli. Run set-based INSERT, UPDATE and DELETE against Mendix entities through OQL statements, which the runtime supports and Studio Pro cannot author. Use when a microflow would otherwise retrieve a large list and loop — applying rules across a table, copying a year of records, staging and promoting an import, archiving, backfilling a column — or when a nested retrieve-loop-commit is the reason a screen or a scheduled job is slow.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `pack.yaml`, `references/gotchas.md` and `references/patterns.md`).
It sits in Backend & APIs, covering Background jobs. The repository describes itself as: Mendix cli tool, a headless way to work with Mendix projects. Enables Mendix projects for use with 3rd party agentic coding tools like Claude Code and Copilot. Includes a… The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 20a6c89. 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 (its code samples are java and bash).
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.
Mendix Bulk Oql Dml loads about 1.4k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 715 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 mendixlabs/mxcli at commit 20a6c89, republished under its Apache-2.0 licence (© mendixlabs). 715 words, ~1,384 tokens.
.claude/skills/mendix-bulk-oql-dml/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.The Mendix runtime executes OQL statements, not just queries. Three calls, all
in com.mendix.public-api.jar:
com.mendix.core.Core.createOqlStatement(String) // -> OqlStatement
OqlStatement.setVariable(name, value) // -> OqlStatement, chainable
OqlStatement.execute(IContext) // -> int rows affectedStudio Pro has no activity for this, so the only way to reach it is a Java action.
mdl/oql-dml-actions.mdl is three of them, authored in
MDL with inline Java, ready to apply to any project:
| Action | Use |
|---|---|
OQL_Execute(Statement) | One statement, no variables. Returns rows affected, throws on failure. |
OQL_ExecuteWith(Statement, Name/Value/Type ×4) | Same, with up to four bound, typed variables. |
OQL_Try(Statement) | Returns OK rows=N or ERR … instead of throwing. For probing, not for production paths. |
mxcli exec .claude/skills/mendix-bulk-oql-dml/mdl/oql-dml-actions.mdl -p MyApp.mprEach statement type arrived in a different runtime release, and the last one is recent enough that "it works on my app" is not transferable:
| Statement | Available from |
|---|---|
DELETE | 11.1.0 |
UPDATE | 11.3.0 — associations 11.4.0 |
INSERT … SELECT | 11.6.0 — associations 11.7.0 |
INSERT … VALUES | 11.13.0 |
Pin the runtime version deliberately before building on this.
Use it when the work is a set and nobody is looking at the rows: applying rules over a table, copying a year of records, promoting a staged import, archiving, backfilling a new column. One statement replaces a retrieve of every match into memory, a loop, and a commit per object.
Do not use it for a single object a user is editing. And know what it skips — this is the thing to say out loud before choosing it:
A statement runs in the database, inside the calling microflow's transaction. It does not pass through the object cache, so no event handlers fire, no validation rules run, an object already retrieved keeps its old values, and a client holding one is not refreshed.
If the entity's correctness depends on a before-commit handler, either move that logic into the statement or do not use a statement.
A grid over rows a statement just rewrote keeps showing the old ones, because nothing told the client. The pattern that fixes it, used on both screens in this project:
where [Batch = $currentObject/Batch]).commit $Context refresh;.Refreshing the context re-runs the grid's query. Without step 3 the screen is quietly wrong, which is worse than obviously wrong.
Full statements, from three working use cases, are in
references/patterns.md:
UPDATE per rule, in order. The precedence
lives in the WHERE clause: each statement only touches rows still unclaimed,
so a later rule cannot take a row an earlier one took. No flags, no loop.INSERT … SELECT per month. Idempotent by deleting the
target window first, in the same transaction.UPDATE per check stamping a reason on the failures,
then promote the survivors with a single INSERT … SELECT. The rejects stay
behind with their reason, which is the whole argument for a loader table.Read references/gotchas.md. Four things cost real time
here, and one of them wrote bad data:
null in a WHERE matches nothing — in both
spellings, with no error. A validation written that way passes every row.INSERT … SELECT. Two association paths both
end in /id and collide as Duplicate column name: ID, naming a column that
is not in your statement.Ledger.Order_Customer,
not Order_Customer.substring. String surgery has to be done by the caller, which is why
"copy a year" is twelve statements rather than one.The grammar is not discoverable from the model, so find out by running. Use
OQL_Try with statements whose WHERE cannot match, from a microflow that logs
each result, and read the log. Sixteen statements in one pass is what mapped the
matrix in references/patterns.md.
Two warnings if you use the after-startup microflow as the harness, both learned the hard way: a statement that throws there takes the whole app down, and the action is one transaction, so a failure at the end rolls back everything before it — including work whose log lines already said it succeeded.
© mendixlabs, 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
SKILL.md and 4 other files (references) in .claude/skills/packs/mendix-bulk-oql-dml of mendixlabs/mxcli.
Open the folder on GitHubat commit 20a6c89
Mendix Bulk Oql Dml 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 |
|---|---|---|---|---|---|---|
| Mendix Bulk Oql Dml this skillmendixlabs/mxcli | 128 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Trigger.dev Configurationpapermark/papermark | 9.2k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| AI Model NodejsTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| Trigger.dev Realtimepapermark/papermark | 9.2k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| NubaseOtterMind/Nubase | 623 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 |
papermark/papermark
Configures Trigger.dev projects through trigger.config.ts, with build extensions for Prisma, Playwright, Puppeteer, FFmpeg, Python and system packages.
FoundatioFx/Foundatio
A skill your agent uses when working with Foundatio infrastructure abstractions for .NET -- caching, queuing, messaging, file storage, distributed locking, or background jobs.
TencentCloudBase/CloudBase-AI-Toolkit
A skill your agent uses for Node.js backend AI via @cloudbase/node-sdk (=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration.
papermark/papermark
Shows how to subscribe to Trigger.dev task runs from the backend and from React for progress indicators, live dashboards, AI response streams and approval waits.
OtterMind/Nubase
A skill your agent uses when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets…
papermark/papermark
Guides building durable background tasks, scheduled jobs and queues with Trigger.dev, including retries, waits, idempotency and concurrency limits.
mendixlabs/mxcli
Push OData query options into the SQL of a Mendix resource served by a read microflow, so $filter, $orderby, $top, $skip, $count and the key lookup reach the database instead of being silently…
mendixlabs/mxcli
Chart a Mendix app with Vega-Lite through a pluggable widget that takes the specification and the data as separate properties, so the model emits rows and never assembles a chart payload.
mendixlabs/mxcli
Author Mendix AI agent documents in MDL — Model, Knowledge Base, Consumed MCP Service and Agent, with variables, tools and multi-line prompts.
mendixlabs/mxcli
Define event-driven APIs over Kafka with Mendix business event services — publish and subscribe contracts, CREATE/DROP/DESCRIBE.
mendixlabs/mxcli
Search the Mendix Catalog platform service registry (catalog.mendix.com) from the CLI to find services published across an organisation.
mendixlabs/mxcli
Stand up an HTTP endpoint you control instead of a live third-party API, and point the Mendix app at it — Prism from an OpenAPI contract, a constant swap, or a forward proxy.
Categories
Run set-based INSERT, UPDATE and DELETE against Mendix entities through OQL statements, which the runtime supports and Studio Pro cannot author. Mendix Bulk Oql Dml is an agent skill from mendixlabs/mxcli. Run set-based INSERT, UPDATE and DELETE against Mendix entities through OQL statements, which the runtime supports and Studio Pro cannot author.
Mendix Bulk Oql Dml fits situations like: A microflow would otherwise retrieve a large list and loop — applying rules across a table; copying a year of records; staging and promoting an import; backfilling a column —.
Run `npx skills add mendixlabs/mxcli --skill mendix-bulk-oql-dml -a claude-code`. Or copy the skill folder (.claude/skills/packs/mendix-bulk-oql-dml in mendixlabs/mxcli) into .claude/skills/mendix-bulk-oql-dml in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mendixlabs/mxcli --skill mendix-bulk-oql-dml -a codex`. Or copy the skill folder (.claude/skills/packs/mendix-bulk-oql-dml in mendixlabs/mxcli) into .agents/skills/mendix-bulk-oql-dml 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 mendixlabs/mxcli --skill mendix-bulk-oql-dml -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mendix-bulk-oql-dml, .gemini/skills/mendix-bulk-oql-dml, .github/skills/mendix-bulk-oql-dml and .opencode/skills/mendix-bulk-oql-dml in your project.
SKILL.md names no scripts, command-line tools or credentials: Mendix Bulk Oql Dml 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.
Mendix Bulk Oql Dml 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 1.4k tokens (SKILL.md is roughly 5.5k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mendix Bulk Oql Dml: Trigger.dev Configuration (papermark/papermark, 9.2k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars), AI Model Nodejs (TencentCloudBase/CloudBase-AI-Toolkit, 1.1k stars) and Trigger.dev Realtime (papermark/papermark, 9.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mendixlabs (a GitHub organization) maintains it in mendixlabs/mxcli, which has 128 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 7, 2026.
Source: mendixlabs/mxcli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.