# dct

> dct — fotodeveloper-dct. Use this tool when you need to manage and track coding projects, issues, and tasks across multiple projects, providing a centralized database for AI coding agents to access and update information. It solves problems of disorganized project management, lost context, and inefficient handoffs between sessions. With inputs from git and outputs to a cross-project database, use dct to streamline your coding workflow and improve collaboration.

Canonical page: https://skillsregistry.net/skills/fotodeveloper-dct  
JSON: https://api.skillsregistry.net/v1/skills/fotodeveloper-dct

## Description

Persistent memory & issue tracking for AI coding agents — todos, changelogs, plans, sprints & session handoffs in one cross-project database over MCP. Built for Claude Code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/fotodeveloper/dct)

## 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": "fotodeveloper-dct"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fotodeveloper-dct` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fotodeveloper-dct/pull`

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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