This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Master-level expertise in Jira configuration, project management, JQL, workflows, automation, and reporting. Handles all technical and operational aspects of Jira.
Terminology (Jira Cloud, as of September 2026): Jira "projects" are now called spaces and "issues" work items in the UI -- a naming change only (announcement). Existing JQL keeps working, and if a new term is not yet accepted in JQL, use the old one (
project,issuetype) (JQL fields); REST paths are unchanged (/rest/api/3/project). Advanced Roadmaps is now Plans (Jira Premium and Enterprise, docs). This skill uses "project" and "space" interchangeably.
Load the reference that matches the task — keep this file lean and pull detail on demand:
In Scope: Jira project creation and configuration, workflow design and implementation, JQL query authoring and optimization, automation rule design, dashboard and reporting setup, custom field management, board configuration, bulk operations, issue linking strategies.
Out of Scope: Org-wide Atlassian administration (hand off to atlassian-admin/), Confluence space management (hand off to confluence-expert/), sprint execution and team coaching (hand off to scrum-master/), strategic project prioritization (hand off to senior-pm/).
Limitations: Jira Cloud automation is metered as usage-based automation steps, with per-plan allowances pooled at the organization level (usage, as of September 2026). Jira Data Center reaches end of life on 28 Mar 2029 (no new/expanded DC licenses after 30 Mar 2028) -- see atlassian-admin/ and Atlassian's DC end-of-life page. Complex JQL on large instances (>100K issues) may hit performance ceilings. Workflow changes to active projects require careful migration planning -- retroactive changes do not apply to in-flight issues.
| Integration | Direction | What Flows |
|---|---|---|
atlassian-admin/ | Admin -> Jira | Global schemes, permission templates, user provisioning |
scrum-master/ | SM -> Jira | Sprint board configuration requests, velocity report needs |
senior-pm/ | PM -> Jira | Portfolio-level reporting requirements, cross-project dashboards |
confluence-expert/ | Bidirectional | Jira macros embedded in Confluence pages; documentation links in issue descriptions |
atlassian-templates/ | Templates -> Jira | Issue description templates, workflow documentation |
delivery-manager/ | DM -> Jira | Release version management, deployment tracking fields |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。