🎯

jira-pm

🎯Skill

from oimiragieo/agent-studio

VibeIndex|
What it does

jira-pm skill from oimiragieo/agent-studio

jira-pm

Installation

pnpmRun with pnpm
pnpm run memory:init
pnpmRun with pnpm
pnpm run memory:embeddings
pnpmRun with pnpm
pnpm install
Node.jsRun Node.js server
node .claude/tools/verify-ship-readiness.mjs --workflow-id <workflow_id> --json
Node.jsRun Node.js server
node .claude/tools/verify-agent-integration.mjs --workflow-id <workflow_id> --expected-agents core --json

+ 1 more commands

πŸ“– Extracted from docs: oimiragieo/agent-studio
1
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Last UpdatedJan 29, 2026

Skill Details

SKILL.md

Jira project management and issue tracking integration

Overview

Jira PM (Project Management) - Provides integration with Atlassian Jira for issue tracking, project management, and workflow automation. Enables 90%+ context savings over direct MCP integration.

  • Issue management: search, create, update, transition
  • Project discovery and metadata retrieval
  • Sprint management and issue tracking
  • Comment management on issues
  • JQL-based advanced queries

Environment Variables

Required:

  • JIRA_URL - Base URL of your Jira instance (e.g., https://yourcompany.atlassian.net)
  • JIRA_API_TOKEN - API token for authentication (generate at Jira Account Settings β†’ Security β†’ API Tokens)
  • JIRA_USER_EMAIL - Email address associated with the API token

Optional:

  • JIRA_DEFAULT_PROJECT - Default project key for operations (e.g., PROJ)
  • JIRA_API_VERSION - API version (default: 3)

  1. Authentication: All requests use Basic Auth with JIRA_USER_EMAIL and JIRA_API_TOKEN
  2. Progressive Disclosure: Load only necessary issue fields to minimize API calls
  3. Validation: Verify project keys and issue keys before operations
  4. Error Handling: Gracefully handle rate limits, authentication errors, and invalid inputs

Issues

| Tool | Description | Confirmation Required |

| ---------------- | ---------------------------------- | --------------------- |

| search | Search issues using JQL | No |

| get-issue | Get detailed issue information | No |

| create-issue | Create a new issue | Yes |

| update-issue | Update existing issue fields | Yes |

| transition | Change issue status/workflow state | Yes |

Projects

| Tool | Description |

| ----------------- | -------------------------------- |

| list-projects | List all accessible projects |

| project-info | Get detailed project information |

Sprints

| Tool | Description |

| ----------------- | --------------------------------------- |

| active-sprint | Get currently active sprint for a board |

| sprint-issues | List all issues in a specific sprint |

Comments

| Tool | Description |

| ---------------- | --------------------------------- |

| get-comments | Retrieve all comments on an issue |

| add-comment | Add a comment to an issue |

Common Workflows

Issue Creation:

  1. List projects to find correct project key
  2. Get project info to understand issue types
  3. Create issue with appropriate fields
  4. Add comment if needed

Sprint Management:

  1. Get active sprint for board
  2. List sprint issues
  3. Update issue status using transitions
  4. Add comments for status updates

Issue Search:

  1. Use JQL for targeted searches (e.g., project = PROJ AND status = "In Progress")
  2. Retrieve issue details for specific issues
  3. Update issues based on search results

JQL Query Examples

Common Queries:

```jql

# Issues assigned to current user

assignee = currentUser()

# Open issues in specific project

project = PROJ AND status != Done

# Issues created this week

created >= startOfWeek()

# High priority bugs

type = Bug AND priority = High

# Issues in current sprint

sprint in openSprints()

# Recently updated issues

updated >= -7d

# Overdue issues

duedate < now() AND status != Done

```

Primary Agent: pm (Product Manager)

  • Use Case: Project backlog management, sprint planning, requirement tracking
  • Common Operations: Create issues, update priorities, manage sprints

Secondary Agent: developer

  • Use Case: Issue tracking during development, status updates
  • Common Operations: Search assigned issues, transition issues, add comments

Supporting Agent: qa

  • Use Case: Bug tracking, test case management
  • Common Operations: Create bug reports, update test results, search defects

Common Error Scenarios

Authentication Errors:

  • Missing or invalid API token
  • Expired credentials
  • Insufficient permissions

Rate Limiting:

  • Too many API requests in short period
  • Implement exponential backoff

Invalid Inputs:

  • Non-existent project keys
  • Invalid issue types
  • Invalid transition IDs

Network Errors:

  • Connection timeouts
  • Unreachable Jira instance

  1. Use JQL Efficiently: Craft precise JQL queries to reduce result sets and API calls
  2. Cache Metadata: Store project keys, issue types, and transitions locally
  3. Verify Before Create: Always verify project and issue type before creating issues
  4. Use Transitions: Respect workflow states when changing issue status
  5. Batch Operations: Group related API calls when possible
  6. Handle Errors Gracefully: Provide clear error messages and recovery suggestions
  7. Respect Rate Limits: Implement backoff strategies for high-volume operations

Search Issues:

```bash

# Using JQL to find issues

search "project = PROJ AND status = 'In Progress'"

```

Create Issue:

```bash

# Create a new story

create-issue --project PROJ --type Story --summary "Implement user authentication" --description "Add OAuth2 authentication flow"

```

Update Issue:

```bash

# Update issue priority

update-issue --key PROJ-123 --priority High

```

Transition Issue:

```bash

# Move issue to "In Progress"

transition --key PROJ-123 --status "In Progress"

```

Get Sprint Issues:

```bash

# List issues in active sprint

active-sprint --board-id 42

sprint-issues --sprint-id 123

```

Add Comment:

```bash

# Add progress update

add-comment --key PROJ-123 --comment "Completed authentication implementation, ready for review"

```

Context Optimization

This skill uses progressive disclosure to minimize context usage:

  1. Lazy Loading: Only load issue details when explicitly requested
  2. Field Selection: Request only necessary fields from Jira API
  3. Caching: Store frequently accessed metadata (projects, issue types)
  4. Streaming: Not supported - all responses are complete payloads
  5. Pagination: Automatically handle large result sets

Context Savings: 90%+ compared to loading full Jira MCP server

Jira REST API Endpoints Used

  • /rest/api/3/search - JQL search
  • /rest/api/3/issue/{issueKey} - Get/update issue
  • /rest/api/3/issue - Create issue
  • /rest/api/3/issue/{issueKey}/transitions - Transition issue
  • /rest/api/3/project - List projects
  • /rest/api/3/project/{projectKey} - Get project details
  • /rest/agile/1.0/board/{boardId}/sprint - Get sprints
  • /rest/agile/1.0/sprint/{sprintId}/issue - Get sprint issues
  • /rest/api/3/issue/{issueKey}/comment - Get/add comments

See [Jira REST API Documentation](https://developer.atlassian.com/cloud/jira/platform/rest/v3/) for full reference.

Memory Protocol (MANDATORY)

Before starting:

Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md

> ASSUME INTERRUPTION: If it's not in memory, it didn't happen.