# used-tempon

> Use this tool when you need to efficiently log time spent on tasks in Jira using natural language inputs. It solves the problem of manual time tracking by allowing users to quickly record time via Claude Desktop or OpenCode. The tool accepts natural language descriptions as input and outputs logged time in Tempo, streamlining time tracking and project management workflows.

Canonical page: https://skillsregistry.net/skills/lettfeti-used-tempon  
JSON: https://api.skillsregistry.net/v1/skills/lettfeti-used-tempon

## Description

Enables logging time to Tempo (Jira time tracker) via natural language in Claude Desktop or OpenCode.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/azdvi36wrr)
- **Repository:** <https://github.com/lettfeti/used-tempon>

## 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": "lettfeti-used-tempon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lettfeti-used-tempon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lettfeti-used-tempon/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