jira
Manages JIRA issues, projects, and workflows using Atlassian MCP. Use when asked to "create JIRA ticket", "search JIRA", "update JIRA issue", "transition issue", "sprint planning", or "epic management".
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/jira/jiraskilz install SpillwaveSolutions/jira/jira --agent opencodeskilz install SpillwaveSolutions/jira/jira --agent codexskilz install SpillwaveSolutions/jira/jira --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/jiracp -r jira ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- jira
- Stars
- 1
- Forks
- 1
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 82
Agent Skill Grade
B Score: 82/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Marketing language in overview
- Missing TOC in custom_field_discovery.md
- JQL guide is oversized
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-19
Developer Feedback
I took a look at your jira skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 82/100, solid B-grade territory. This is graded against Anthropic's skill best practices. Your strongest area is Spec Compliance (13/15) — the YAML frontmatter and trigger phrases are clean. Weakest pull is Writing Style (7/10) — some marketing speak creeping in where you need pure instruction, and a few voice consistency issues.
What's Working Well
- Trigger phrase coverage is excellent. You've nailed the discovery side with specific phrases like "create JIRA ticket," "search JIRA," "sprint planning." That's exactly what makes skills discoverable.
- Reference architecture is thoughtfully layered. The hub-and-spoke pattern (382-line SKILL.md + two references) is the right call. You're delegating weight appropriately instead of bloating the main file.
- Custom field discovery methodology is genuinely useful. This isn't just JIRA documentation — it's solving a real problem that teams actually hit. The workflow-based approach to discovering custom fields is the kind of thing that makes a skill valuable beyond obvious use cases.
- Issue templates in JSON are practical. Having 10 templated examples gives people concrete starting points instead of forcing them to figure out field structure from scratch.
The Big One: Architecture Inefficiency
Your jql_guide.md is oversized at 1323 lines — that's too much weight in a single reference file. This hurts your Progressive Disclosure score (22/30) because it forces users to parse a monolithic chunk instead of navigating focused sub-documents.
The fix: Split it into topic-specific guides:
jql_basics.md— Simple queries, AND/OR operatorsjql_sprints_epics.md— Sprint/epic-specific qu...
AI-Detected Topics
Extracted using NLP analysis
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