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factorial-code-skills
factorial-code-skills contains 8 collected skills from factorialco, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use the Factorial Code CLI (fcode) for local development and cloud sync — the pull → add → dependencies:install → run → push flow, when to run each command, --force safety, worked examples, and the workspace config files (process metadata.json with webhook/form/appRole/visibility, team.json, variables.meta.json). Use when running fcode CLI commands, testing a Factorial Code process locally, deploying/syncing Factorial Code (fcode) resources to the cloud, or activating a process's webhook, form, or visibility settings.
Embed a Factorial Code process's input-parameter form on a webpage — the three embed methods (data attributes, Fcode.initForm, FcodeForm React component), driving behavior from the process return value (message/formErrors/redirect/jsCallback/nextProcessId), styling/themes, i18n, multi-step flows, and automatic file uploads to Storage. Use when embedding, configuring, styling, or wiring up submission callbacks for a Factorial Code (fcode) form.
Factorial Code platform architecture and core concepts — processes, modules, execution context, team variables, datastore, file storage, workspace structure, and naming conventions. Use when building, editing, or reasoning about any Factorial Code (fcode) process, module, or workspace; start here before writing process or module code.
Write JavaScript (Node.js v22) for Factorial Code processes and modules — the async main() entry point with module.exports = { main }, fcode.context.parameters, fcode.import(), datastore/storage/env helpers, auto-installed dependencies, and return-value formats. Use when creating or editing .js process or module code for Factorial Code (fcode).
Write Python 3.13 for Factorial Code processes and modules — the main() entry point, fcode.context.parameters, fcode.import_module(), datastore/storage/env helpers, PEP 8 / snake_case, auto-installed dependencies, and return-value formats. Use when creating or editing .py process or module code for Factorial Code (fcode).
Iterative, confirmation-driven workflow for building Factorial Code processes and modules end to end — plan-and-confirm, discovery scripts, incremental implementation validated with the run_code MCP tool, exposing processes as MCP tools, plus security and error-handling practices. Use when asked to build, automate, or integrate something on Factorial Code (fcode) and you need the recommended working method.
Reference implementations for Factorial Code — a complete marketplace payroll integration (outbound sync with file-export and API-push delivery flavors), a multi-process custom app lifecycle (multi-step setup form, webhook + schedule install, polling, uninstall), and utility processes (CSV export with signed URL + email, XML enrichment from an uploaded file). Use when building a Factorial Code (fcode) integration, custom app, or automation end to end and you want a proven, working pattern to adapt — read the matching reference before writing code.
Author Factorial Code process input-parameter schemas (parametersSchema.json) — every supported input type and validation option, with a complete annotated sample. Use when creating or editing a parametersSchema.json, or defining a Factorial Code (fcode) process's input parameters or form fields.