Agent skill

Uui GitHub Issue Workflow

by epam in epam/UUI

Fetches GitHub issues from URLs and creates implementation plans for UUI.

MITAuto-check passedAgent Workflows

Install Uui GitHub Issue Workflow

skills CLI
$ npx skills add epam/UUI --skill uui-github-issue-workflow -a claude-code

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

GitHub CLI
$ gh skill install epam/UUI uui-github-issue-workflow --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/epam/UUI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/github-issue-workflow .claude/skills/uui-github-issue-workflow && 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/

Facts

Skill name
uui-github-issue-workflow
GitHub stars
248
Token cost
~1.5k tokens
SKILL.md length
614 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Fetches GitHub issues from URLs and creates implementation plans for UUI.

  • Works in 2 steps: Analysis (always run first) → Implementation (only after user confirms)
  • The user provides a GitHub issue link (github.com/.../issues/N)
  • SKILL.md covers Trigger, Phase 1: Analysis (always run…, Phase 2: Implementation (only… and Edge Cases, plus 1 more section
  • Reaches github.com

What it does

Uui GitHub Issue Workflow is an agent skill from epam/UUI. Fetches GitHub issues from URLs and creates implementation plans for UUI. Use when the user provides a GitHub issue link (github.com/.../issues/N), asks to plan work from an issue, or implement/fix an issue by URL.

Its SKILL.md is about 1.5k 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. It works with GitHub and Model Context Protocol. The repository describes itself as: React-based components and accelerators library built by EPAM Systems. The licence is MIT.

When your agent uses it

  • The user provides a GitHub issue link (github.com/.../issues/N)
  • Asks to plan work from an issue
  • Implement/fix an issue by URL

Example prompts

  • “Use the uui-github-issue-workflow skill to fetch GitHub issues from URLs and creates implementation plans for UUI”
  • “/uui-github-issue-workflow”

Workflow steps

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

  1. Analysis (always run first)
  2. Implementation (only after user confirms)

What it can do on your machine

Read from SKILL.md and the folder at commit fd11393. 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 (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Uui GitHub Issue Workflow loads about 1.5k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 614 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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 epam/UUI at commit fd11393, republished under its MIT licence (© epam). 614 words, ~1,537 tokens.

Download SKILL.mdSave it as .claude/skills/uui-github-issue-workflow/SKILL.md (or your agent's skills folder).
name
uui-github-issue-workflow
description
Fetches GitHub issues from URLs and creates implementation plans for UUI. Use when the user provides a GitHub issue link (github.com/.../issues/N), asks to plan work from an issue, or implement/fix an issue by URL.

GitHub Issue Workflow

When the user provides a GitHub issue URL or asks to plan work from an issue, follow this two-phase workflow. Always run Phase 1 first; only proceed to Phase 2 after the user confirms.

Trigger

Apply this skill when the user:

  • Pastes a GitHub issue URL (e.g. https://github.com/epam/UUI/issues/123)
  • Asks to "plan", "implement", or "fix" an issue by link
  • References an issue with a github.com/.../issues/N or .../pull/N URL

Phase 1: Analysis (always run first)

Run Phase 1 to analyze scope before implementation. Do not implement yet. Limit exploration; produce a short analysis and stop.

1. Parse the URL

Extract from the URL:

  • owner — e.g. epam from github.com/epam/UUI/issues/123
  • repo — e.g. UUI
  • issue_number — e.g. 123

Supported patterns:

  • https://github.com/{owner}/{repo}/issues/{number}
  • https://github.com/{owner}/{repo}/pull/{number} (PRs are issues; use issue_number from URL)

If the URL is invalid or cannot be parsed, ask the user to provide a valid github.com/.../issues/N URL.

2. Fetch Issue Content (Dual Path)

Always try GitHub MCP first. Only fall back to WebFetch if MCP is unavailable.

Step 1: Check for GitHub MCP server

Browse the MCP tool descriptors folder to find a GitHub MCP server. Look for server folders that contain GitHub-related tools (e.g. get_issue, issue_read, get-issue). Common server names: github, github-mcp, github-mcp-server.

If a GitHub MCP server is found, read its tool descriptor to get the exact tool name and parameters, then call it:

CallMcpTool
  server: <discovered GitHub MCP server name>
  toolName: <issue read tool from descriptor>
  arguments: { owner, repo, issue_number }
  • MCP returns structured JSON with title, body, labels, state, etc.
  • If the call succeeds, use the response directly.

Step 2: Fall back to WebFetch (only if MCP is not available or fails)

If no GitHub MCP server is configured, or the MCP call fails:

  • Use WebFetch with the full issue URL
  • Parse the returned content (markdown/HTML) to extract:
    • Issue title (from page heading or title element)
    • Issue description/body
    • Labels or type indicators if visible
3. Produce Short Analysis (Phase 1 only)

Based on the issue content, produce a concise analysis:

SectionContent
SummaryTitle, type (bug/feature/refactor/docs), 2–4 key points from description
Affected AreasPackage(s), likely files or components (high-level; no deep codebase exploration yet)
Complexity Estimatesmall / medium / large — based on description scope
Proposed Approach1–2 sentences on how to fix or implement
Show full SKILL.md (258 more words)Show less
4. Stop and Ask for Confirmation

Do not create a full implementation plan or make any code changes.

Present the analysis and ask:

"Here's my analysis. Proceed with full implementation? Any changes to scope or approach?"

Wait for the user to confirm or request changes. Only after explicit confirmation (e.g. "yes", "proceed", "go ahead") move to Phase 2.


Phase 2: Implementation (only after user confirms)

Run Phase 2 only when the user has approved the analysis or provided adjustments.

1. Create Full Implementation Plan

Produce a structured plan with these sections:

SectionContent
Issue SummaryTitle, type (bug/feature/refactor/docs), key points from description
Branch NameFollow pr-contributing: fix/123-description for bugs, feature/456-description for features. Use kebab-case for the description part.
Affected AreasPackage(s) (e.g. uui, uui-components), likely files, components
Implementation StepsOrdered tasks. For component work, follow components patterns (wrapping vs new, withMods, file paths).
TestingUnit tests (unit-testing), E2E/screenshot tests if UI changes (e2e-testing)
DocumentationIf API changes: examples, Property Explorer (documentation)
Pre-PR ChecklistFrom pr-contributing: tests, lint, bundle size, changelog
2. Output Format (Phase 2)

Use this template:

markdown
## Implementation Plan: #[issue_number] [Title]

### Summary
- **Type:** [bug|feature|refactor|docs]
- **Key points:** [bullet points from description]

### Branch
`fix/123-description` / `feature/456-description`

### Affected Areas
- Package: ...
- Files: ...

### Steps
1. ...
2. ...

### Testing
- Unit: ...
- E2E: (if UI changes)

### Documentation
- (if API changes)

### Checklist
- [ ] yarn test
- [ ] yarn test-update (if UI)
- [ ] yarn test-e2e (if UI)
- [ ] yarn eslint, yarn stylelint
- [ ] yarn track-bundle-size
- [ ] changelog.md
3. Execute Implementation

After presenting the plan, proceed with implementation steps as approved by the user.

Edge Cases

CaseAction
Invalid URLAsk for a valid github.com/.../issues/N URL
PR URL (/pull/N)**Extract issue_number from URL; MCP issue_read works for PRs in many setups. Otherwise use web fetch.
MCP call failsProceed immediately with web fetch (WebFetch tool); do not retry MCP.

References

© epam, 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 .cursor/skills/github-issue-workflow of epam/UUI.

Open the folder on GitHubat commit fd11393

Compare with similar skills

Uui GitHub Issue Workflow 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.

Uui GitHub Issue Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Uui GitHub Issue Workflow this skillepam/UUI248—~1.5kAutomated safety check: PassMIT
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Codex with ChatGPT Planning LoopXiaoDuoYa/codex-with-chatgpt7.1k—~11kAutomated safety check: NotesMIT
Helmor CLIdohooo/helmor1.3k—~1.3kAutomated safety check: PassApache-2.0
Spec Driven Developzhu1090093659/deepseek-pp1.9k—~6.9kAutomated safety check: PassApache-2.0
Ask NavigatorYeachan-Heo/oh-my-claudecode40k—~4.1kAutomated safety check: PassMIT

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Categories

Questions about Uui GitHub Issue Workflow

What does Uui GitHub Issue Workflow do?

Fetches GitHub issues from URLs and creates implementation plans for UUI. Uui GitHub Issue Workflow is an agent skill from epam/UUI. Fetches GitHub issues from URLs and creates implementation plans for UUI.

When should I use Uui GitHub Issue Workflow?

Uui GitHub Issue Workflow fits situations like: the user provides a GitHub issue link (github.com/.../issues/N); asks to plan work from an issue; implement/fix an issue by URL.

How do I install Uui GitHub Issue Workflow in Claude Code?

Run `npx skills add epam/UUI --skill uui-github-issue-workflow -a claude-code`. Or copy the skill folder (.cursor/skills/github-issue-workflow in epam/UUI) into .claude/skills/uui-github-issue-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Uui GitHub Issue Workflow in Codex?

Run `npx skills add epam/UUI --skill uui-github-issue-workflow -a codex`. Or copy the skill folder (.cursor/skills/github-issue-workflow in epam/UUI) into .agents/skills/uui-github-issue-workflow in your project. Codex loads it when a task matches its description.

Can I use Uui GitHub Issue Workflow 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 epam/UUI --skill uui-github-issue-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uui-github-issue-workflow, .gemini/skills/uui-github-issue-workflow, .github/skills/uui-github-issue-workflow and .opencode/skills/uui-github-issue-workflow in your project.

What does Uui GitHub Issue Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Uui GitHub Issue Workflow is instructions for the agent only.

Does Uui GitHub Issue Workflow access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Uui GitHub Issue Workflow 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 Uui GitHub Issue Workflow use?

Uui GitHub Issue Workflow 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 Uui GitHub Issue Workflow use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Uui GitHub Issue Workflow?

Skills that share tags, products or a category with Uui GitHub Issue Workflow: Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars), Codex with ChatGPT Planning Loop (XiaoDuoYa/codex-with-chatgpt, 7.1k stars), Helmor CLI (dohooo/helmor, 1.3k stars) and Spec Driven Develop (zhu1090093659/deepseek-pp, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Uui GitHub Issue Workflow?

epam (a GitHub organization) maintains it in epam/UUI, which has 248 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 29, 2026.

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