Skill profile

spec-to-backlog

Automatically convert Confluence specification documents into structured Jira backlogs with Epics and...

What this skill does for you

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.

Quoted from the skill description in the pinned source

Who made it

Publisheratlassian

Repositoryatlassian-mcp-server

Installs289as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the spec-to-backlog skill from atlassian/atlassian-mcp-server.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: eb9a5956a7ac6380c731c725a8382da53ad6d980. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: eb9a5956a7ac6380c731c725a8382da53ad6d980. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: eb9a5956a7ac6380c731c725a8382da53ad6d980. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/atlassian/atlassian-mcp-server
Pinned skill file: View source at revision
Revision: eb9a5956a7ac6380c731c725a8382da53ad6d980
Package hash: sha256:5c6a8ca87fc59a7721400bdb19980fc6e3603e91a3c8041c42e1a0dd2a4d79ed
Licence: Apache-2.0