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factorial-code-skills
factorial-code-skills contient 8 skills collectées depuis factorialco, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
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.