Export And Analyze Jira Data
CheckedHelps with analysis, data as part of building frontend UIs and user experiences workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dawiddutoit/custom-claude --skill export-and-analyze-jira-data -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
dawiddutoit
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned dawiddutoit/custom-claude at 17b45a90a6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 17b45a90a6
- Scanned
- 2 files, 695 lines
About this skill
What it does
This skill allows AI agents to export data from Jira, a popular project management tool. It can then analyze this exported data to identify trends, bottlenecks, or areas for improvement within projects and workflows. The agent can process the data into various formats like CSV or JSON for further analysis.
When to use it
- Project Health Assessment: Quickly assess the health of ongoing projects by analyzing issue resolution times and assignee workload.
- Bottleneck Identification: Pinpoint recurring bottlenecks in a development pipeline based on issue status transitions.
- Reporting & Insights: Generate reports summarizing key project metrics like average sprint velocity or bug counts.
- Workflow Optimization: Identify inefficiencies within Jira workflows by analyzing the time spent in each stage.
Key capabilities
- Jira data export
- Data analysis
- CSV and JSON output formats
Example prompts
- "Export all issues from project 'XYZ' created in the last month and analyze their resolution times."
- "Give me a CSV report of all open bugs assigned to team members, sorted by priority."
- "Analyze Jira data for project 'ABC' and identify any recurring bottlenecks in the workflow."
Tips & gotchas
- Requires appropriate API credentials and permissions within your Jira instance.
- The skill’s effectiveness depends on the quality and completeness of the exported Jira data.