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Each README is written for a human audience, explaining: - What the skill does (not what format it follows) - What benefit the user gets from installing it - Quick setup and usage patterns - When to load/trigger the skill - What scripts, references, and templates it ships data-scientist already had a README — left unchanged. 48 READMEs added across all skill and bundle directories.
40 lines
1.3 KiB
Markdown
40 lines
1.3 KiB
Markdown
# Jira Issue Tracker from the Terminal
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Interact with Atlassian Jira Cloud via the REST API v3. Search issues, view details, create issues, add comments, list projects, and transition status.
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## Why Install This Skill
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When your agent loads this skill, it can **manage your entire Jira workflow** without opening a browser. That means:
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- **Search issues by project, JQL, or assignee** — find anything in your tracker
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- **View full issue details** — description, status, assignee, comments
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- **Create and update issues** — new tasks, bugs, stories from the terminal
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- **Add comments** — update threads without the web UI
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- **Transition status** — move tickets through workflows
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- **List projects** — see what's available
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## What You Get
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| Directory | Purpose |
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|-----------|---------|
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| `SKILL.md` | Complete command reference with setup and examples |
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| `scripts/jira-cli` | CLI tool for Jira REST API v3 |
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## Quick Start
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```bash
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export JIRA_EMAIL="your-email@example.com"
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export JIRA_API_TOKEN="your-api-token"
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export JIRA_SERVER="https://your-domain.atlassian.net"
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```
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API token from id.atlassian.com (free).
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## Triggers
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Load this when managing Jira issues, searching tickets, creating bugs, or tracking project work.
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## Requirements
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Python 3.8+ with `requests` library.
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