Jira
CheckedThis skill integrates Jira into your workflows, allowing you to manage and interact with Jira issues directly from your chat interface for streamlined project tracking.
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 davila7/claude-code-templates --skill jira -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
davila7
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 davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 4 files, 1,138 lines
About this skill
jira by davila7
What it does
This skill enables AI agents to interact directly with Jira, allowing them to create, update, and manage issues within your project management workflow. It bridges the gap between natural language commands and Jira's backend systems for streamlined task handling.
When to use it
- Automating repetitive ticket creation based on meeting notes or code commit messages.
- Updating issue statuses or adding comments when an AI agent completes a specific development task.
- Querying existing tickets to provide agents with context about ongoing bugs or feature requests.
- Generating and assigning new tasks to team members during sprint planning sessions.
Key capabilities
- Create new Jira issues from natural language descriptions.
- Update existing issue fields such as status, priority, and description.
- Add comments and attachments to specific tickets.
- Search and retrieve issue details using flexible query parameters.
Example prompts
- "Create a high-priority bug ticket for the login page timeout error reported in yesterday's deployment."
- "Update issue PROJ-123 to 'In Progress' and assign it to Sarah Jenkins."
- "Search for all open tasks related to the Q4 marketing campaign and list their current statuses."
Tips & gotchas
Ensure your AI agent has valid API credentials with appropriate permissions before attempting to modify issues. Complex Jira workflows may require specific field mappings that aren't automatically inferred from generic descriptions, so be explicit about required data when creating tickets.