# docker

> Use this tool when you need to containerize applications, solving problems of inconsistent environments and dependencies across different systems. Docker takes in container configurations and code, and outputs a packaged, portable, and isolated application environment. It is ideal for use in development, testing, and deployment contexts where consistency and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/sudhans18-aegisflood-flood-prediction-community-alert-system  
JSON: https://api.skillsregistry.net/v1/skills/sudhans18-aegisflood-flood-prediction-community-alert-system

## Description

sapne dekha
ache baat hai
sapna ke so jaana
wo sahi nahi hai

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yc18a6tik6)
- **Repository:** <https://github.com/sudhans18/AegisFlood-Flood-Prediction-Community-Alert-System>

## 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": "sudhans18-aegisflood-flood-prediction-community-alert-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sudhans18-aegisflood-flood-prediction-community-alert-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sudhans18-aegisflood-flood-prediction-community-alert-system/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