# poke-conduit

> Use this tool when you need to manage multiple agents and streamline backend operations for the Poke MCP client. It solves problems related to backlog management, council deliberation, and reminder systems, providing a durable and production-shaped solution. The poke-conduit tool takes in client requests and agent inputs, outputting organized backlogs, deliberation outcomes, and timely reminders.

Canonical page: https://skillsregistry.net/skills/kevinnguyen805-poke-conduit  
JSON: https://api.skillsregistry.net/v1/skills/kevinnguyen805-poke-conduit

## Description

A production-shaped, durable multi-agent backend for the Poke MCP client, providing backlog management, council deliberation, and proactive reminders.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdkqwjq3uk)
- **Repository:** <https://github.com/kevinnguyen805/poke-conduit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kevinnguyen805-poke-conduit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevinnguyen805-poke-conduit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevinnguyen805-poke-conduit/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt