Jira CLI
Code-and-Sorts/awesome-copilot-agents
Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows.
Analyze and enhance Jira user stories with complete, implementation-ready technical detail.
Install Enrich Us
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-us --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-specs/skills/enrich-us .claude/skills/enrich-us && rm -rf skills-srcUse ~/.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/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .claude/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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 install https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-usType 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.
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-us --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-specs/skills/enrich-us .agents/skills/enrich-us && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .agents/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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.
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-us --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-specs/skills/enrich-us .cursor/skills/enrich-us && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .cursor/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git --path ai-specs/skills/enrich-us--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-us --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-specs/skills/enrich-us .gemini/skills/enrich-us && rm -rf skills-srcUse ~/.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/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .gemini/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-usInstalls 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).
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-specs/skills/enrich-us .github/skills/enrich-us && rm -rf skills-srcUse ~/.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/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .github/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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.
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended enrich-us --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-specs/skills/enrich-us .opencode/skills/enrich-us && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "enrich-us" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/enrich-us into .opencode/skills/enrich-us/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-us", 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
enrich-us- GitHub stars
- 278
- Token cost
- ~521 tokens
- SKILL.md length
- 305 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze and enhance Jira user stories with complete, implementation-ready technical detail.
- Works in 5 steps: Use Jira MCP to get the ticket details,… → You will act as a product expert with… → Understand the problem described in the… → …
- Tasks that involve User stories
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Enrich Us is an agent skill from LIDR-academy/AI4Devs-LTI-extended. Analyze and enhance Jira user stories with complete, implementation-ready technical detail.
Its SKILL.md is about 520 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 Product & Project Management, covering User stories. It works with Jira. The repository describes itself as: Repository with several experiments from live sessions. The licence is MIT.
When your agent uses it
- Tasks that involve User stories
Example prompts
- “/enrich-us”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Use Jira MCP to get the ticket details, whether it is the ticket id/number, keywords referring to the ticket or indicating status, like…
- You will act as a product expert with technical knowledge
- Understand the problem described in the ticket
- Decide whether or not the User Story is completely detailed according to product's best practices: Include a full description of the…
- If the user story lacks the technical and specific detail necessary to allow the developer to be fully autonomous when completing it…
What it can do on your machine
Read from SKILL.md and the folder at commit 9ff9a80. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Enrich Us loads about 521 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 305 words of instructions outside code blocks.
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 LIDR-academy/AI4Devs-LTI-extended at commit 9ff9a80, republished under its MIT licence (© LIDR-academy). 305 words, ~521 tokens.
Download SKILL.mdSave it as
.claude/skills/enrich-us/SKILL.md (or your agent's skills folder).- name
- enrich-us
- description
- Analyze and enhance Jira user stories with complete, implementation-ready technical detail.
- author
- LIDR.co
- version
- 1.0.0
enrich-us Skill
Use it when this workflow is required in the project.
Instructions
Please analyze and fix the Jira ticket: $ARGUMENTS.
Follow these steps:
- Use Jira MCP to get the ticket details, whether it is the ticket id/number, keywords referring to the ticket or indicating status, like "the one in progress"
- You will act as a product expert with technical knowledge
- Understand the problem described in the ticket
- Decide whether or not the User Story is completely detailed according to product's best practices: Include a full description of the functionality, a comprehensive list of fields to be updated, the structure and URLs of the necessary endpoints, the files to be modified according to the architecture and best practices, the steps required for the task to be considered complete, how to update any relevant documentation or create unit tests, and non-functional requirements related to security, performance, etc
- If the user story lacks the technical and specific detail necessary to allow the developer to be fully autonomous when completing it, provide an improved story that is clearer, more specific, and more concise in line with product best practices described in step 4. Use the technical context you will find in @documentation. Return it in markdown format.
- Save the enriched user story as a markdown file in the
tmp/folder at the project root (create the folder if it doesn't exist). Name the file<ticket-id>-enriched-us.md(e.g.,LTI-42-enriched-us.md). Thetmp/folder is already in.gitignore. - Update ticket in Jira, adding the new content after the old one and marking each section with the h2 tags [original] and [enhanced]. Apply proper formatting to make it readable and visually clear, using appropriate text types (lists, code snippets...).
- If the ticket status was "To refine", move the task to the "Pending refinement validation" column.
© LIDR-academy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ai-specs/skills/enrich-us of LIDR-academy/AI4Devs-LTI-extended.
Open the folder on GitHubat commit 9ff9a80
Compare with similar skills
Enrich Us 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Enrich Us this skillLIDR-academy/AI4Devs-LTI-extended | 278 | — | ~521 | Automated safety check: Pass | MIT | |
| Jira CLICode-and-Sorts/awesome-copilot-agents | 580 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Codemie Jira Assistantcodemie-ai/codemie-code | 294 | — | ~489 | Automated safety check: Pass | Apache-2.0 | |
| Create User Storyhuytieu/COG-second-brain | 1.3k | — | ~2k | Automated safety check: Pass | MIT | |
| Acceptance Criteria Checkshopsys/shopsys | 350 | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| 044 Planning Jirajabrena/plinth | 447 | — | ~1k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Enrich Us
What does Enrich Us do?
Analyze and enhance Jira user stories with complete, implementation-ready technical detail. Enrich Us is an agent skill from LIDR-academy/AI4Devs-LTI-extended. Analyze and enhance Jira user stories with complete, implementation-ready technical detail.
When should I use Enrich Us?
Enrich Us fits situations like: tasks that involve User stories.
How do I install Enrich Us in Claude Code?
Run `npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a claude-code`. Or copy the skill folder (ai-specs/skills/enrich-us in LIDR-academy/AI4Devs-LTI-extended) into .claude/skills/enrich-us in your project. Claude Code loads it when a task matches its description.
How do I install Enrich Us in Codex?
Run `npx skills add LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a codex`. Or copy the skill folder (ai-specs/skills/enrich-us in LIDR-academy/AI4Devs-LTI-extended) into .agents/skills/enrich-us in your project. Codex loads it when a task matches its description.
Can I use Enrich Us 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 LIDR-academy/AI4Devs-LTI-extended --skill enrich-us -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enrich-us, .gemini/skills/enrich-us, .github/skills/enrich-us and .opencode/skills/enrich-us in your project.
What does Enrich Us need to run?
SKILL.md names no scripts, command-line tools or credentials: Enrich Us is instructions for the agent only.
Does Enrich Us access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Enrich Us 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 Enrich Us use?
Enrich Us is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Enrich Us use?
About 521 tokens (SKILL.md is roughly 2.1k 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 Enrich Us?
Skills that share tags, products or a category with Enrich Us: Jira CLI (Code-and-Sorts/awesome-copilot-agents, 580 stars), Codemie Jira Assistant (codemie-ai/codemie-code, 294 stars), Create User Story (huytieu/COG-second-brain, 1.3k stars) and Acceptance Criteria Check (shopsys/shopsys, 350 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Enrich Us?
LIDR-academy (a GitHub organization) maintains it in LIDR-academy/AI4Devs-LTI-extended, which has 278 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on June 9, 2026.
Source: LIDR-academy/AI4Devs-LTI-extended on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.