jira-creator

Create JIRA issues (stories, bugs, epics, spikes, tasks) quickly using standardized templates and optional AI-enhanced descriptions

---

⚡ Quick Start (Under 30 Seconds)

1. Create your config file and enable autocomplete

mkdir -p ~/.bashrc.d
cat <<EOF > ~/.bashrc.d/jira.sh
export JIRA_JPAT="your_jira_personal_access_token"
export JIRA_AI_PROVIDER=openai
export JIRA_AI_API_KEY=sk-...
export JIRA_AI_MODEL="gpt-4o-mini"
export JIRA_URL="https://issues.redhat.com"
export JIRA_PROJECT_KEY="AAP"
export JIRA_AFFECTS_VERSION="aa-latest"
export JIRA_COMPONENT_NAME="analytics-hcc-service"
export JIRA_PRIORITY="Normal"
export JIRA_BOARD_ID=21125
export JIRA_EPIC_FIELD="customfield_12311140"
export JIRA_ACCEPTANCE_CRITERIA_FIELD="customfield_12315940"
export JIRA_BLOCKED_FIELD="customfield_12316543"
export JIRA_BLOCKED_REASON_FIELD="customfield_12316544"
export JIRA_STORY_POINTS_FIELD="customfield_12310243"
export JIRA_SPRINT_FIELD="customfield_12310940"
export JIRA_VOSK_MODEL="/home/daoneill/.vosk/vosk-model-small-en-us-0.15"

# Enable autocomplete
eval "$(/usr/local/bin/rh-issue --_completion | sed 's/rh_jira.py/rh-issue/')"
EOF

source ~/.bashrc.d/jira.sh

2. Link the command-line tool wrapper

chmod +x jira_creator/rh-issue-wrapper.sh
sudo ln -s $(pwd)/jira_creator/rh-issue-wrapper.sh /usr/local/bin/rh-issue

3. Run it

rh-issue create story "Improve onboarding experience"

---

🧪 Usage & Commands

Commands

add-comment

Add a comment to a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • -t, --text: Comment text. If not provided, an editor will open for you to enter your comment.
  • --no-ai: Skip AI text improvement.

• Example:

  jira-cli add-comment PROJ-123 -t "This issue is resolved."

add-flag

Add a flag to a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli add-flag PROJ-123

add-to-sprint

Add an issue to a sprint and optionally assign it.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • sprint_name (required): The name of the sprint.
  • -a, --assignee: Assignee username. Defaults to the current user if not specified.

• Example:

  jira-cli add-to-sprint PROJ-123 "Sprint 1" -a username

assign

Assign a Jira issue to a user.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • assignee (required): Username of the person to assign the issue to.

• Example:

  jira-cli assign PROJ-123 username

block

Mark a Jira issue as blocked.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • reason (required): The reason for blocking the issue.

• Example:

  jira-cli block PROJ-123 "Waiting for approval."

blocked

List blocked issues.

• Arguments:

  • --user: Filter by assignee (username).
  • --project: Project key override.
  • --component: Component name override.

• Example:

  jira-cli blocked --user username

change

Change issue type.

• Arguments:

  • issue_key (required): The Jira issue id/key.
  • new_type (required): New issue type.

• Example:

  jira-cli change PROJ-123 "Bug"

clone-issue

Create a copy of an existing Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key to clone (e.g., PROJ-123).
  • -s, --summary-suffix: Suffix to add to the cloned issue summary (default: ' (Clone)').

• Example:

  jira-cli clone-issue PROJ-123 -s " (Clone)"

create-issue

Create a new Jira issue using templates.

• Arguments:

  • type (required): Type of issue to create.
  • summary (required): Issue summary/title.
  • -e, --edit: Open editor to modify the description before submission.
  • --dry-run: Preview the issue without creating it.
  • --no-ai: Skip AI text improvement.

• Example:

  jira-cli create-issue "Task" "Implement new feature" --edit

edit-issue

Edit a Jira issue description.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • --no-ai: Skip AI text improvement.
  • --lint: Run interactive linting on the description.

• Example:

  jira-cli edit-issue PROJ-123 --lint

list-issues

List issues from a project with various filters.

• Arguments:

  • -p, --project: Project key (uses the JIRA_PROJECT_KEY env if not specified).
  • -c, --component: Filter by component name.
  • -a, --assignee: Filter by assignee username.
  • -r, --reporter: Filter by reporter username.
  • -s, --status: Filter by status.
  • --summary: Filter by summary containing text.
  • --blocked: Show only blocked issues.
  • --unblocked: Show only unblocked issues.
  • --sort: Sort by field(s), comma-separated.
  • -m, --max-results: Maximum number of results (default: 100).

• Example:

  jira-cli list-issues -p "PROJ" --status "Open" --sort "priority"

open-issue

Open a Jira issue in your web browser.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli open-issue PROJ-123

remove-flag

Remove a flag from a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli remove-flag PROJ-123

search

Search for issues using JQL (Jira Query Language).

• Arguments:

  • jql (required): JQL query string (e.g., 'project = ABC AND status = Open').
  • -m, --max-results: Maximum number of results to return (default: 50).

• Example:

  jira-cli search "project = ABC AND status = Open" -m 20

set-acceptance-criteria

Set the acceptance criteria for a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • acceptance_criteria (required): The acceptance criteria (can be multiple words).

• Example:

  jira-cli set-acceptance-criteria PROJ-123 "Acceptance criteria must be met."

set-priority

Set the priority of a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • priority (required): Priority level to set.

• Example:

  jira-cli set-priority PROJ-123 "High"

set-status

Set the status of a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • status (required): The status to transition to.

• Example:

  jira-cli set-status PROJ-123 "In Progress"

set-summary

Set the summary of a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • summary (required): The new summary text for the issue.

• Example:

  jira-cli set-summary PROJ-123 "Updated issue summary"

unassign

Remove the assignee from a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli unassign PROJ-123

unblock

Remove the blocked status from a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli unblock PROJ-123

validate-issue

Validate a Jira issue against quality standards.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).
  • --no-ai: Skip AI-powered quality checks.
  • --no-cache: Skip cache and force fresh validation.

• Example:

  jira-cli validate-issue PROJ-123 --no-ai

view-issue

View detailed information about a Jira issue.

• Arguments:

  • issue_key (required): The Jira issue key (e.g., PROJ-123).

• Example:

  jira-cli view-issue PROJ-123

view-user

View detailed information about a Jira user.

• Arguments:

  • account_id (required): The user's account ID or username.

• Example:

  jira-cli view-user username

vote-story-points

Vote on story points.

• Arguments:

  • issue_key (required): The Jira issue id/key.
  • points (required): Number of story points to vote.

• Example:

  jira-cli vote-story-points PROJ-123 5

---

🤖 AI Provider Support

You can integrate different AI providers by setting the JIRA_AI_PROVIDER environment variable.

For model management, you can use Ollama:

mkdir -vp ~/.ollama-models
docker run -d -v ~/.ollama-models:/root/.ollama -p 11434:11434 ollama/ollama

✅ OpenAI

export JIRA_AI_PROVIDER=openai
export JIRA_AI_API_KEY=sk-...
export JIRA_AI_MODEL=gpt-4  # Optional

🦙 LLama3

docker compose exec ollama ollama pull LLama3
export JIRA_AI_PROVIDER=LLama3
export JIRA_AI_URL=http://localhost:11434/api/generate
export JIRA_AI_MODEL=LLama3

🧠 DeepSeek

docker compose exec ollama ollama pull deepseek-r1:7b
export JIRA_AI_PROVIDER=deepseek
export JIRA_AI_URL=http://localhost:11434/api/generate
export JIRA_AI_MODEL=http://localhost:11434/api/generate

🖥 GPT4All

pip install gpt4all
export JIRA_AI_PROVIDER=gpt4all
# WIP

🧪 InstructLab

export JIRA_AI_PROVIDER=instructlab
export JIRA_AI_URL=http://localhost:11434/api/generate
export JIRA_AI_MODEL=instructlab
# WIP

🧠 BART

export JIRA_AI_PROVIDER=bart
export JIRA_AI_URL=http://localhost:8000/bart
# WIP

🪫 Noop

export JIRA_AI_PROVIDER=noop

---

🛠 Dev Setup

pipenv install --dev

Testing & Linting

make test
make lint
make super-lint

---

⚙️ How It Works

• Loads field definitions from .tmpl files located in the templates/ directory
• Uses TemplateLoader to generate Markdown descriptions
• Optionally applies AI cleanup for improved readability and structure
• Sends issues to JIRA via REST API (or performs dry runs)

---

📜 License

This project is licensed under the Apache License