nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products. Use when you need to query Jira issues, search Confluence, or interact with Atlassian services programmatically. Requires Docker and valid Jira API credentials.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install atakanermis/atlassian-mcpInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
The MCP Atlassian server provides programmatic access to Jira and other Atlassian services through the Model Context Protocol. Run it in Docker with your Jira credentials to query issues, manage projects, and interact with Atlassian tools.
Pull and run the container with your Jira credentials:
docker pull ghcr.io/sooperset/mcp-atlassian:latest
docker run --rm -i \
-e JIRA_URL=https://your-company.atlassian.net \
-e JIRA_USERNAME=your.email@company.com \
-e JIRA_API_TOKEN=your_api_token \
ghcr.io/sooperset/mcp-atlassian:latest
With script (faster):
Run the bundled script with your API token:
JIRA_API_TOKEN=your_token bash scripts/run_mcp_atlassian.sh
https://company.atlassian.net)Once running, the MCP server exposes Jira tools for use. Reference the container as an MCP source in your Clawdbot config to query issues, create tasks, or manage Jira directly from your agent.
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# MCP Atlassian ## Overview The MCP Atlassian server provides programmatic access to Jira and other Atlassian services through the Model Context Protocol. Run it in Docker with your Jira credentials to query issues, manage projects, and interact with Atlassian tools. ## Quick Start Pull and run the container with your Jira credentials: ```bash docker pull ghcr.io/sooperset/mcp-atlassian:latest docker run --rm -i \ -e JIRA_URL=https://your-company.atlassian.net \ -e JIRA_USERNAME=your.email@company.com \ -e JIRA_API_TOKEN=your_api_token \ ghcr.io/sooperset/mcp-atlassian:latest ``` **With script (faster):** Run the bundled script with your API token: ```bash JIRA_API_TOKEN=your_token bash scripts/run_mcp_atlassian.sh ``` ## Environment Variables - **JIRA_URL**: Your Atlassian instance URL (e.g., `https://company.atlassian.net`) - **JIRA_USERNAME**: Your Jira email address - **JIRA_API_TOKEN**: Your Jira API token (create in [Account Settings → Security](https://id.atlassian.com/manage-profile/security/api-tokens)) ## Using MCP Atlassian with Clawdbot Once running, the MCP server exposes Jira tools for use. Reference the container as an MCP source in your Clawdbot config to query issues, create tasks, or manage Jira directly from your agent. ## Resources ### scripts/ - **run_mcp_atlassian.sh** - Simplified runner script with credential handling
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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