Spec To Backlog
by atlassianeb9a5956a7acNo license1K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.
Add to a SourceWeft workspace
- Open the skill in your dashboard and add it to a workspace.
- Enable it for the chats that should use it.
This skill is instructions only: it ships no scripts to execute.
Add to SourceWeftYou will be asked to sign in first, then taken straight to this skill.
Ask your agent to install it
Paste this prompt into Claude Code, Codex, Cursor or another agent that can run commands — or into SourceWeft chat. The agent reads this skill's install guide, shows you its source, license and scripts, and installs it with the SourceWeft CLI once you agree.
Read https://sourceweft.com/skills/gh-atlassian-atlassian-mcp-server-spec-to-backlog/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.Install it yourself from a terminal
For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.
npx @sourceweft/cli skills install gh-atlassian-atlassian-mcp-server-spec-to-backlogAdd --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).
Upstream installer — not verified by SourceWeft
The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.
npx skills add https://github.com/atlassian/atlassian-mcp-server/tree/eb9a5956a7ac6380c731c725a8382da53ad6d980/skills/spec-to-backlogSource and attribution
Source:atlassian/atlassian-mcp-serverinskills/spec-to-backlogat commiteb9a595
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from atlassian/atlassian-mcp-server
Triage Issue
atlassian
Triages bug reports and error messages by searching Jira for duplicates and helping file or comment on issues.
Search Company Knowledge
atlassian
Searches Confluence, Jira and internal docs in parallel and synthesizes cited answers about company systems and processes.
Jira Sprint Dashboard
atlassian
Create a visual Jira sprint dashboard from Jira project, space, sprint, board, filter, JQL, work item keys, or Jira URL data. Use when the user asks for a Jira sprint dashboard, standup dashboard, sprint review, delivery review, engineering manager dashboard, WIP review, planning view, closeout view, or a visual snapshot of Jira work that is more useful than a flat report. Use the richest dashboard format supported by the current agent, such as Cursor Canvas, an interactive artifact, HTML, or Markdown.
Capture Tasks From Meeting Notes
atlassian
Extracts action items with assignees from meeting notes and creates assigned Jira tasks.
More in Productivity & Workflow
Notion Spec To Implementation
openai
Turns Notion specs into implementation plans, linked tasks, and progress updates inside Notion.
Azuresql Db Feedback
microsoft
Turns a skill or container problem into a complete, redacted GitHub issue draft for user confirmation.
Writing Plans
obra
Writes detailed, task-by-task implementation plans from a spec before coding begins.
Use Case Specification
awslabs
Guides a multi-turn conversation to produce a use case specification document for model customization.
Planning
awslabs
Guides intent discovery and produces a step-by-step plan for model customization workflows, saving it as PLAN.md.
Directory Management
awslabs
Sets up and organizes a project directory structure and resolves project naming before work begins.