jira-assistant
Manage Jira issues via Atlassian MCP. Search, create, update, transition status, and handle sprint tasks with auto-detected workspace configuration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
291 skills found
Manage Jira issues via Atlassian MCP. Search, create, update, transition status, and handle sprint tasks with auto-detected workspace configuration.
Automates the synchronization of new infographic templates by updating project documentation, gallery mappings, and AI playground prompts.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.
Persistent task memory and workflow synchronization for Claude Code using Beads, enabling multi-session project management and context preservation.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.