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Jira tempo skill

Skill sanderch/jira-tempo-skill

Parse a Jira activity RSS/Atom feed and estimate hours spent per Jira ticket per day. Use this skill when the user wants to: (1) extract activity events (date, ticket, action, description) from a Jira activity feed file into a structured CSV, (2) estimate time spent per ticket based on activity volume and type, or (3) prepare a time-tracking report from Jira activity for Tempo or similar timesheet tools. Expects activity.txt downloaded from the Jira activity stream API.From its SKILL.md

Install
npx -y skills add sanderch/jira-tempo-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.4 KB, 522 tokens by cl100k_base, as published. Nobody here has run it

Jira Tempo

Parse a Jira activity feed into structured CSVs, then estimate hours spent per ticket per day.

Setup

The input file activity.txt is the raw Jira activity RSS/Atom feed. The easiest way to get it is directly from the browser:

  1. Log in to Jira in your browser.
  2. Open this URL (replace <your-jira-domain> and <username>): 
    https://<your-jira-domain>/activity?maxResults=500&streams=user+IS+<username>&os_authType=basic
  3. The browser will display raw XML. Save the page as activity.txt (File → Save As → All Files / Plain Text) in the repo folder.

Alternatively, use curl:

curl -u <username>:<password> -o activity.txt \
  "https://<your-jira-domain>/activity?maxResults=500&streams=user+IS+<username>&os_authType=basic"

Workflow

Step 1 — Parse the feed

python scripts/parse_activity.py [input] [output]
# Defaults: activity.txt -> activity_parsed.csv

Outputs one row per activity event: date, ticket, title, activity_type, description.

Activity types: Created, Updated, Commented, Status -> <name>, Created / Posted.

Step 2 — Estimate hours

python scripts/estimate_hours.py
# Reads: activity_parsed.csv -> Writes: time_estimates.csv

Groups by (date, ticket). Points per event:

Activity typePoints
Created2.0
Status -> *1.5
Commented1.0
Updated / Created / Posted0.5

estimated_hours = clamp(total_points × 0.5, min=0.5, max=4.0) rounded to nearest 0.5 h.

To tune weights, edit the WEIGHTS dict at the top of scripts/estimate_hours.py.

Output columns

time_estimates.csv: date, ticket, title, estimated_hours, activity_count, activity_breakdown

activity_parsed.csv: date, ticket, title, activity_type, description

What ships with it: 4 files

11.3 KB alongside SKILL.md, 2 of them executable

scripts/

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