Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsprocess message special WhatsApp Business
Custom MCP bridge for structured message processing, session management, and stateful caching.
Free
process message special WhatsApp Business
Example session with this skill installed
Ejecuta el skill personalizado a medida con el texto 'procesar informe anual' para la sesión user_123.
- Read your context and instructions
- Compiled the process message special
{
"ok": true,
"data": {
"status": "processed",
"report_id": "REP-2024-X",
"summary": "Annual report data analyzed and stored."
},
"error": null
}
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
LLM agents often lack a standardized way to interface with custom backend operations, leading to messy prompt loops and inconsistent data handling. Developers need a predictable bridge between natural language requests and structured execution without manual parsing overhead.
What it does
- Standardizes calls to the
process_messageMCP tool using structured JSON envelopes. - Manages conversational state and token isolation via session identifiers.
- Handles errors gracefully using pre-defined codes like
RATE_LIMITEDandMISSING_PARAM. - Integrated caching mechanism to reduce redundant processing and upstream latency.
- Ensures offline execution for operations that do not require external network access.
Frameworks & tools
MCP (Model Context Protocol), JSON, and local MCP server environments.
Why this beats prompting it yourself
Direct prompting often fails to maintain state or handle complex error codes reliably. This skill provides a schema-first approach that forces the agent to return valid JSON results while managing session memory across multiple turns, something raw prompts struggle to do consistently.
Use cases
- Executing custom internal business logic through a unified MCP interface.
- Maintaining user-specific state and data cursors in long-running agent chats.
- Building reliable wrappers for sensitive operations that require strict error reporting.
- Reducing latency by serving repeated identical requests from the built-in cache.
Known limitations
Requires an active MCP server running the process_message tool. State is only maintained as long as the MCP server remains operational.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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