Official agent skill

Run Jira

Fetch a Jira issue and propose an implementation plan based on codebase analysis

OfficialApache-2.0Auto-check passedAgent Workflows

Install Run Jira

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/run-jira .claude/skills/run-jira && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .claude/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/run-jira .agents/skills/run-jira && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .agents/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/run-jira .cursor/skills/run-jira && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .cursor/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/DataDog/datadog-agent.git --path .agents/skills/run-jira

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/run-jira .gemini/skills/run-jira && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .gemini/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/run-jira .github/skills/run-jira && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .github/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DataDog/datadog-agent --skill run-jira -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DataDog/datadog-agent run-jira --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/run-jira .opencode/skills/run-jira && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "run-jira" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/run-jira into .opencode/skills/run-jira/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-jira", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: run-jira
GitHub stars: 3.8k
Token cost: ~635 tokens
SKILL.md length: 303 words
Files: 1
Skills in repo: 35
Repo updated: Oct 9, 2026
First seen: Oct 8, 2026
Licence: Apache-2.0

At a glance

Fetch a Jira issue and propose an implementation plan based on codebase analysis

Works in 5 steps: Gather Jira issue data → Summarize the issue → Fetch linked resources → …
Tasks that involve Planning
SKILL.md covers Step 1: Gather Jira issue data, Step 2: Summarize the issue, Step 3: Fetch linked resources and Step 4: Analyze the codebase, plus 1 more section
Calls gh

What it does

Run Jira is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Fetch a Jira issue and propose an implementation plan based on codebase analysis

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning and Codebase onboarding. It works with Jira, Datadog and Model Context Protocol. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Planning
Tasks that involve Codebase onboarding

Example prompts

“/run-jira”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Gather Jira issue data
Summarize the issue
Fetch linked resources
Analyze the codebase
Propose an implementation

What it can do on your machine

Read from SKILL.md and the folder at commit a706f1a. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- gh
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- datadoghq.atlassian.net
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Run Jira loads about 635 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 303 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~22
When it runs · the whole SKILL.md, loaded when a task matches: ~635

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DataDog/datadog-agent at commit a706f1a, republished under its Apache-2.0 licence (© DataDog). 303 words, ~635 tokens.

Download SKILL.mdSave it as .claude/skills/run-jira/SKILL.md (or your agent's skills folder).

name: run-jira
description: Fetch a Jira issue and propose an implementation plan based on codebase analysis
argument-hint: <JIRA-KEY e.g. ACTP-1234>
model: sonnet

Fetch the Jira issue $ARGUMENTS from the Datadog Atlassian instance and use it as the basis for a codebase analysis and implementation proposal.

Step 1: Gather Jira issue data

Use the Atlassian MCP tools to fetch the issue. Only request the fields you need to avoid huge responses:

Call mcp__atlassian__getJiraIssue with:
- cloudId: datadoghq.atlassian.net
- issueIdOrKey: $ARGUMENTS
- fields: ["summary", "description", "status", "assignee", "issuetype", "comment", "priority"]
Extract the title (summary), description, status, assignee, and comments from the response.

If the issue cannot be found, stop and inform the user.

Step 2: Summarize the issue

Present a clear summary of the Jira issue:

Key: $ARGUMENTS
Title: the issue summary
Status: current status
Assignee: who is assigned
Description: the full description
Comments: any relevant context or discussion from comments
Link: https://datadoghq.atlassian.net/browse/$ARGUMENTS

Step 3: Fetch linked resources

Scan the issue description and comments for links to external resources and fetch them for additional context:

Datadog notebooks / postmortems (app.datadoghq.com/notebook/<id>): use mcp__datadog-mcp__get_datadog_notebook with the notebook ID
GitHub PRs (github.com/.../pull/<number>): use gh pr view <number> via Bash
GitLab commits/pipelines or other URLs: use WebFetch if accessible

This step is critical — linked resources often contain the root cause analysis, timelines, and technical details that the Jira description alone does not capture.

Step 4: Analyze the codebase

Based on the issue requirements and linked resources, explore the codebase to understand:

Which files and packages are relevant
Existing patterns and conventions that should be followed
Dependencies and potential impacts

Use Glob, Grep, and Read tools extensively. For broad exploration, use the Task tool with subagent_type=Explore.

Step 5: Propose an implementation

Enter plan mode with EnterPlanMode and write a detailed implementation plan that includes:

A breakdown of the changes needed, organized by file
Any new files that need to be created
Test strategy
Potential risks or open questions

Wait for user approval before implementing.

Files

Just SKILL.md in .agents/skills/run-jira of DataDog/datadog-agent.

Open the folder on GitHubat commit a706f1a

Compare with similar skills

Run Jira next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Run Jira compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Run Jira this skillDataDog/datadog-agent	3.8k	—	~635	Automated safety check: Pass	Apache-2.0	today
Piv Plan Implementationcoleam00/skills	674	—	~4.9k	Automated safety check: Pass	MIT	yesterday
Codex with ChatGPT Planning LoopXiaoDuoYa/codex-with-chatgpt	7.1k	—	~11k	Automated safety check: Notes	MIT	8 days ago
CodegraphcontextCodeGraphContext/CodeGraphContext	4.3k	—	~675	Automated safety check: Notes	MIT	9 days ago
Agentic Tool Integrationsamugit83/redamon	3k	—	~1.3k	Automated safety check: Pass	MIT	today
Codebase SearchHelweg/open-codebase-index	216	—	~1.3k	Automated safety check: Pass	MIT	today

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Works with

Questions about Run Jira

What does Run Jira do?

Fetch a Jira issue and propose an implementation plan based on codebase analysis. Run Jira is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization.

When should I use Run Jira?

Run Jira fits situations like: tasks that involve Planning; tasks that involve Codebase onboarding.

How do I install Run Jira in Claude Code?

Run `npx skills add DataDog/datadog-agent --skill run-jira -a claude-code`. Or copy the skill folder (.agents/skills/run-jira in DataDog/datadog-agent) into .claude/skills/run-jira in your project. Claude Code loads it when a task matches its description.

How do I install Run Jira in Codex?

Run `npx skills add DataDog/datadog-agent --skill run-jira -a codex`. Or copy the skill folder (.agents/skills/run-jira in DataDog/datadog-agent) into .agents/skills/run-jira in your project. Codex loads it when a task matches its description.

Can I use Run Jira in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DataDog/datadog-agent --skill run-jira -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-jira, .gemini/skills/run-jira, .github/skills/run-jira and .opencode/skills/run-jira in your project.

What does Run Jira need to run?

Going by SKILL.md and its folder, Run Jira needs the command-line tools its instructions call (gh).

Does Run Jira access the network?

SKILL.md names 1 domain. As links in the text: datadoghq.atlassian.net. This is read from the text; nothing was executed.

Is Run Jira safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Run Jira use?

Run Jira is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Run Jira use?

About 635 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Run Jira?

Skills that share tags, products or a category with Run Jira: Piv Plan Implementation (coleam00/skills, 674 stars), Codex with ChatGPT Planning Loop (XiaoDuoYa/codex-with-chatgpt, 7.1k stars), Codegraphcontext (CodeGraphContext/CodeGraphContext, 4.3k stars) and Agentic Tool Integration (samugit83/redamon, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run Jira?

DataDog (a GitHub organization, an official publisher) maintains it in DataDog/datadog-agent, which has 3,759 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 9, 2026.

Source: DataDog/datadog-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Run Jira

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Step 1: Gather Jira issue data

Step 2: Summarize the issue

Step 3: Fetch linked resources

Step 4: Analyze the codebase

Step 5: Propose an implementation

Files

Compare with similar skills

Similar skills

More from DataDog/datadog-agent

Related

Questions about Run Jira