# dossier

> dossier — itshabib-dossier. Use this tool when you need to organize and track project knowledge, design documents, and tasks in a queryable markdown corpus. It solves problems of information fragmentation and knowledge loss by providing a centralized repository of project memory, accessible through any Large Language Model (LLM). It takes in markdown files and git updates as inputs and outputs queryable project artifacts and information.

Canonical page: https://skillsregistry.net/skills/itshabib-dossier  
JSON: https://api.skillsregistry.net/v1/skills/itshabib-dossier

## Description

Project memory. A markdown corpus + MCP server. Tracks design docs, TDDs, tasks, and artifacts queryable through any LLM.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/itsHabib/dossier)

## 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": "itshabib-dossier"
    }
  }
}
```

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