69건 · 관련도순
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.
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Prepare handoffs between engineers responsible for responding to system incidents. Organize active incidents, investigations, recent changes, and upcoming events into shift summaries, with guidance for mid-incident transfers, asynchronous updates, and checks that the incoming engineer receives alerts.
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Connect cognee to additional databases and data sources through community packages. The skill covers installing and registering adapters, importing data through connectors, configuring monitoring, and developing extension packages with examples and tests.
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Manage complex software and SaaS projects by assessing schedules, budgets, quality, risks, and team capacity. Compare priorities across projects, identify resource constraints, and turn portfolio analysis into executive reports with recommendations for decisions and follow-up.
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Create a concise sales reference comparing your product with a specific competitor. Organize product and pricing differences, strengths on both sides, responses to common objections, and win/loss patterns into a Markdown document for use during sales conversations.
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Expression Language injection playbook. Use when Java EL, SpEL, OGNL, or MVEL expressions may evaluate attacker-controlled input in Spring, Struts2, Confluence, or similar frameworks.
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Use when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
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Generate product requirements documents with optional publishing to Confluence or other wiki platforms
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Integrates with Atlassian products to manage project tracking and documentation via MCP protocol, including Jira issue management, Confluence page editing, sprint and backlog management.
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Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless pipelines.
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This skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "audit brand content", "what brand materials do we have", "find our style guide", "where are our brand docs", "do we have a style guide", "discover brand voice", "brand content audit", or "find brand assets".
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Produce a weekly/date-range recap from emails, Slack, Jira/Confluence, and vault notes. Args: [dates]. Default = this week.
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Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Requires a monitoring MCP (recommended: Datadog) and a wiki MCP (Confluence or Notion).
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Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations — including generating a diagram from existing source code, or rendering/extracting PlantUML embedded in a Markdown file to images (e.g. preparing docs for Confluence/Notion). Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).
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Use when the user wants to create a new CLAUDE.md from scratch for a repository, bootstrap project memory for a new repo, set up a repo for Claude Code for the first time, or completely rewrite an existing CLAUDE.md deemed unsalvageable. Produces a lean, high-signal file under 80 lines (120 hard cap) by scanning the repo for mechanical content (stack, commands, structure) and interviewing the user for judgment content (WHY, gotchas, out-of-scope, approval gates, testing philosophy, external docs like Confluence pages). NOT for auditing or incrementally improving an existing CLAUDE.md — that is the claude-md-improver skill's role.
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The Atlassian Rovo MCP Server bridges your Atlassian Cloud workspace with any MCP-compatible client. Search and summarize Jira issues, create tickets from natural language, update Confluence pages, and query Compass services.
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Atlassian ecosystem integration covering Jira project management, Confluence documentation, Bitbucket source control, and cross-product automation workflows
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Expression Language injection playbook. Use when Java EL, SpEL, OGNL, or MVEL expressions may evaluate attacker-controlled input in Spring, Struts2, Confluence, or similar frameworks.
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Generate diagrams of any kind from a description, ticket, spec, or file. Outputs Mermaid syntax (renders natively in GitHub, Notion, Confluence, Obsidian, Slack with apps) plus an optional single-file HTML preview that renders the diagram in the browser. Use this skill when the user says: - "draw a flowchart", "create a diagram", "visualize this flow" - "sequence diagram", "state diagram", "ER diagram", "class diagram" - "user journey", "mindmap", "timeline", "gantt", "org chart" - "sankey", "quadrant chart", "git graph" - or pastes a ticket / spec / description and asks for a visual Picks the right Mermaid diagram type for the input, asks if ambiguous, then emits clean syntax + an optional preview file.
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Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.
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Post-launch review of a shipped PRD against the brief's success metrics. Did we move the metric? What did the data actually show? Which assumptions held, which broke? Which accepted-gap decisions resolved (confirmed vs. invalidated)? What would we do differently? Triggers on "outcome review", "did it work", "post-launch review", "did we move the metric", "retro the feature", "was it worth it". Produces a Confluence outcome-review page and updates the brief + linked decisions.
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