# weekly-review

> weekly-review — testman2025-weekly-review-skill. Use this tool when you need to summarize AI session data and generate weekly review reports in Markdown format. It solves the problem of manually compiling session data and annotations, providing a concise and organized output. The tool takes AI session data and optional user annotations as input and produces a weekly review report as output.

Canonical page: https://skillsregistry.net/skills/testman2025-weekly-review-skill  
JSON: https://api.skillsregistry.net/v1/skills/testman2025-weekly-review-skill

## Description

Generates weekly review reports in Markdown format based on AI session data and optional user annotations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wohxd7t6wx)
- **Repository:** <https://github.com/testman2025/weekly-review-skill>

## 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": "testman2025-weekly-review-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/testman2025-weekly-review-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/testman2025-weekly-review-skill/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