automate-whatsapp
by gokapsoThe automate-whatsapp skill helps you build WhatsApp automations in Kapso with triggers, workflow graphs, functions, integrations, and database-backed state. Use this automate-whatsapp guide for workflow automation, install steps, and practical usage when you need repeatable event-driven WhatsApp handling.
This skill scores 84/100, which means it is a solid directory candidate: users can see a real WhatsApp automation workflow, enough operational detail to understand how an agent should trigger it, and strong supporting references/scripts that reduce guesswork. It is worth installing if you need WhatsApp workflow automation in the Kapso ecosystem, though users should expect some platform-specific setup.
- Explicit WhatsApp automation scope with triggers, workflow CRUD, executions, functions, integrations, and database operations.
- Strong operational scaffolding: valid frontmatter, substantial SKILL.md content, 11 H2 sections, and 58 scripts plus reference docs for execution context, function contracts, triggers, and integrations.
- Concrete workflow guidance with code examples and repository-linked references, which improves triggerability and reduces ambiguity versus a generic prompt.
- Installation is more platform-dependent than self-contained: the skill assumes Kapso CLI/auth or API environment variables, so it is not plug-and-play.
- The excerpt shows solid structure, but the overall listing still depends on users understanding Kapso-specific workflow and function contracts rather than a broadly standardized WhatsApp API.
Overview of automate-whatsapp skill
What automate-whatsapp does
The automate-whatsapp skill helps you build WhatsApp automations in Kapso with workflows, triggers, functions, app integrations, and databases. It is aimed at users who need more than a chat prompt: you want a repeatable automation that reacts to WhatsApp events, routes logic, stores state, and can be edited or deployed with less trial and error.
Best fit for workflow automation
Use this automate-whatsapp skill if your job is to turn WhatsApp messages or events into structured actions such as support intake, lead qualification, button-driven routing, or API-backed follow-up. It is especially useful when you need the automate-whatsapp skill to handle both conversation flow and the underlying workflow graph, not just generate copy.
Why it is different
The main value is operational: it covers install, local workflow editing, execution context, function contracts, and integration setup with real repository support files. That means automate-whatsapp is more decision-useful than a generic prompt because it gives you the contract details that usually block first success, such as payload shapes, node expectations, and where to inspect examples.
How to Use automate-whatsapp skill
Install automate-whatsapp
For a Kapso-based setup, install the automate-whatsapp skill in your skills directory and confirm you have access to the Kapso CLI and a project link. A typical starting point is:
npx skills add gokapso/agent-skills --skill automate-whatsapp
If you are working outside a linked project, check whether you can still use the API path; if not, the skill will be less effective without a project context.
What input it needs
The automate-whatsapp usage pattern works best when you provide four things up front: the WhatsApp goal, the trigger type, the intended branch logic, and any external state you need to read or write. Strong inputs look like: “Create a WhatsApp intake workflow that starts on inbound_message, asks two qualification questions, stores lead status in D1, and sends different replies for qualified vs unqualified users.” Weak inputs like “make a WhatsApp bot” force the skill to guess too much.
Files to read first
Start with SKILL.md, then inspect references/workflow-overview.md, references/triggers.md, references/execution-context.md, and references/function-contracts.md. For implementation patterns, preview assets/workflow-customer-support-intake-agent.json, assets/workflow-interactive-buttons-decide-function.json, and assets/functions-example.json. If you are integrating external systems, read references/app-integrations.md and references/databases-reference.md early.
Practical workflow
Use the automate-whatsapp skill guide in this order: confirm the workflow shape, map the trigger and variables, choose whether logic belongs in a function node or decide node, then validate the runtime contract before editing. If you are modifying an existing project, prefer kapso link, kapso pull, edit locally, then kapso build and kapso push so you can review the graph before deployment.
automate-whatsapp skill FAQ
Is automate-whatsapp only for WhatsApp chatbots?
No. The automate-whatsapp skill is for WhatsApp-driven workflow automation, which can include support flows, button routing, function calls, database updates, and app integrations. If you only need a one-off chat response, a plain prompt may be enough; if you need reliable workflow behavior, this skill is a better fit.
Do I need Kapso to use automate-whatsapp?
Yes, Kapso is the intended ecosystem. The skill assumes Kapso concepts such as workflows, executions, triggers, functions, and optional D1-backed state. If your stack does not use Kapso, install may still be informative, but implementation will not map cleanly.
Is it beginner-friendly?
Beginner-friendly for workflow builders, yes, but not for users who want zero setup. The automate-whatsapp skill is easiest when you can follow a repository, inspect examples, and provide a concrete automation spec. Beginners usually get stuck when they omit trigger details, variable names, or the desired next-edge behavior.
When should I not use it?
Do not use automate-whatsapp if you need a generic WhatsApp marketing broadcast tool, a pure no-code CRM, or a simple prompt wrapper. It is most valuable when the outcome depends on structured automation logic, execution context, and editable workflow artifacts.
How to Improve automate-whatsapp skill
Give the skill tighter workflow specs
The best way to improve automate-whatsapp results is to specify the trigger, edge cases, and success criteria before asking for implementation. Include message examples, expected branches, required stored fields, and the exact external action you want. That reduces guesswork in routing and makes the output easier to deploy.
Match inputs to the runtime contract
Many failures come from vague variable names or invalid assumptions about payloads. Use the documented execution context and function contracts, and name variables the way you want them consumed in nodes, such as lead_score, handoff_needed, or phone_number_id. For automate-whatsapp usage, this is often the difference between a working graph and a rewrite.
Iterate from a concrete repo example
If the first output is close but incomplete, compare it against the repository examples and references instead of rewriting from scratch. The most useful improvement loop is: choose a sample workflow JSON, mirror its node structure, then adjust only the trigger, variables, and edge labels for your use case.
