JIRA Context

SkillFiles & storage

Fetches a JIRA issue via a configured MCP server and distills it into a structured task file at docs/jira/<KEY>.md that downstream skills auto-detect. Analyzes the codebase to surface missing criteria, scope, and risks; optionally writes an analysis comment or implementation tickets back to JIRA after explicit confirmation. Re-runs reconcile the local file instead of regenerating. Guides MCP setup if none is configured.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the JIRA Context skill

What this skill tells your AI

The instructions your AI receives, as published by oprogramadorreal/optimus-claude in skills/jira/SKILL.md and read by ahel’s review.

Fetch a JIRA issue, distill it into a structured task file, analyze the codebase against it, and optionally enrich the issue in JIRA. Works with any JIRA MCP server (Atlassian Rovo, sooperset/mcp-atlassian, or generic).

Safety

Steps 1–3.5 (including the refresh path) perform no MCP writes; local file writes are permitted. MCP writes are allowed only in Step 5 after explicit user confirmation. The MCP Safety section of jira-context-extraction.md is the single source of truth for which tools the skill may call and at which gate.

Language

Content written back to JIRA MUST stay in the issue's original language — never translate it to English. All local files (docs/jira/*.md) and all user-facing output are in English; translate as needed while distilling.

Step 1: Detect JIRA MCP Server

Read $CLAUDE_PLUGIN_ROOT/skills/jira/references/jira-context-extraction.md and follow its Detection Procedure. Server detected → record the server name and tool prefix, continue. None detected under Codex → stop and ask the user to configure a compatible JIRA MCP server in Codex, then re-run this skill; the bundled setup configures Claude Code only. Otherwise read $CLAUDE_PLUGIN_ROOT/skills/jira/references/jira-setup.md and follow it; if the user skips setup, stop.

Step 2: Find the Issue

If the user provided an issue key inline, validate it: the entire input must match ^[A-Z][A-Z0-9]+-\d+$ (e.g., PROJ-123). Ask for a corrected key if invalid, then continue to Step 3.

If no key was provided, ask the user (AskUserQuestion) whether to enter a key, search their assigned open issues, or browse by project:

  • Assigned issues — JQL: assignee = currentUser() AND resolution = Unresolved ORDER BY updated DESC
  • By project — ask for the project key and validate it against ^[A-Z][A-Z0-9]{1,9}$ before interpolating (JQL injection guard), then JQL: project = {KEY} AND resolution = Unresolved ORDER BY updated DESC

Present at most 10 results as a numbered list (KEY — Summary [Type, Priority]) and let the user pick.

Step 3: Fetch Issue Context

Follow the Fetch Procedure in jira-context-extraction.md (read in Step 1): issue details, linked issues and subtasks, recent comments, sprint context. Handle failures per its Error Handling table — on 401/403/404, report the specified message and stop.

Step 3.5: Detect Prior Run

If docs/jira/<ISSUE-KEY>.md exists at the project root, read $CLAUDE_PLUGIN_ROOT/skills/jira/references/jira-refresh.md and follow the Refresh Procedure instead of Step 4 — it owns its own routing on completion. Otherwise continue.

Step 4: Distill into Structured Task

Assemble the fetched data into the Structured Output Format from jira-context-extraction.md — the single source for section names. Omit sections with no data. If the issue's acceptance criteria use Given/When/Then phrasing, preserve it verbatim in each entry — /optimus:brainstorm reformats those into ### Scenario: blocks.

Present the structured task and confirm with the user, iterating on requested adjustments. Then save it to docs/jira/<ISSUE-KEY>.md and report the path:

---
source: jira
issue: [ISSUE-KEY]
date: [YYYY-MM-DD]
description-refresh-date: [YYYY-MM-DD]
---

[The full structured task — Goal, Acceptance Criteria, Context, Key Decisions]

Step 5: Analyze Against Codebase

Read $CLAUDE_PLUGIN_ROOT/skills/jira/references/jira-codebase-analysis.md and follow the Analysis Procedure using the Goal and the ORIGINAL Acceptance Criteria from the task file (exclude items tagged (from codebase analysis) — prior enrichment, not source criteria). Present the Impact Summary.

Verify with ToolSearch that the detected server's add-comment tool named in the MCP Safety permitted-write table (addCommentToJiraIssue for Rovo, jira_add_comment for sooperset) is in the runtime tool list — do not probe for other comment-like tools. Then ask the user (AskUserQuestion) how to use the findings:

  • Update JIRA and local context (offer only if the add-comment tool is available) — enrich the local file and post an analysis comment to JIRA
  • Update local context only — enrich docs/jira/<ISSUE-KEY>.md only
  • Skip — proceed without changes

On either update choice, run the Task File Update procedure first — the local file is the single source of truth. On the JIRA branch, then post the comment per the JIRA Comment Format, translated to the issue's original language if it isn't English; comments are append-only, so no further confirmation is needed. If the tool call fails at runtime, inform the user and keep the local update.

Complex scope, JIRA branch only: if the Scope Assessment is Complex and the user chose "Update JIRA and local context", read $CLAUDE_PLUGIN_ROOT/skills/jira/references/jira-implementation-tickets.md and follow it to optionally spawn implementation tickets — it has its own confirmation gate defaulting to no JIRA writes.

Step 6: Recommend Next Step

Route by issue type and the Step 5 Scope Assessment (fall back to acceptance-criteria count when inconclusive). If the user has no feature branch yet, also mention /optimus:commit branch. The recommended skill gathers its own context, so suggest a fresh conversation for it.

  • Tech debt / refactoring (issue type, labels like tech-debt/refactor, or a goal that restructures code without changing behavior) → recommend /optimus:refactor.
  • Simple (assessment simple, or 1–3 criteria in a single component) → recommend /optimus:tdd — it auto-detects docs/jira/<ISSUE-KEY>.md.
  • Complex (assessment complex, or 7+ criteria, multiple components, architecture/migration concerns, unclear design) → recommend /optimus:brainstorm — it auto-detects the task file.
  • Medium (between the two) → offer a plan-mode prompt: read $CLAUDE_PLUGIN_ROOT/skills/jira/references/plan-mode-prompt.md and follow it. If the user declines, recommend /optimus:tdd as for Simple.

Signals

GitHub stars
73
Forks
13
Last commit
Sep 2026

ahel review

  • S4info
    community integration — published by oprogramadorreal, not jira

Automated review, not a security audit. Ruleset v1.

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skill
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jira-oprogramadorreal
Source
github.com/oprogramadorreal/optimus-claude