Coze
Official siteLow-code agent workflow platform for fast automation delivery.
OpenWhen a new GitHub issue is created, automatically use the Copilot SDK to generate a summary, suggest labels, and comment on the issue, boosting developer productivity.
Generate a concise summary and a list of suggested labels for GitHub issue {issue_id} in repository {repo_name}. Issue title: {issue_title}. Issue body: {issue_body}. Output JSON with fields: summary, labels, comment. If the SDK fails, output a fallback comment explaining the issue.This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.
{issue_id}Unique identifier of the GitHub issue
Filling hint: replace this with your real business context.
{repo_name}Repository name, e.g., owner/repo
Filling hint: replace this with your real business context.
{issue_title}Title of the issue
Filling hint: replace this with your real business context.
{issue_body}Body text of the issue
Filling hint: replace this with your real business context.
Fill variables below to generate a ready-to-run prompt in your browser.
{issue_id}Unique identifier of the GitHub issue
{repo_name}Repository name, e.g., owner/repo
{issue_title}Title of the issue
{issue_body}Body text of the issue
Generated Prompt Preview
Generate a concise summary and a list of suggested labels for GitHub issue {issue_id} in repository {repo_name}. Issue title: {issue_title}. Issue body: {issue_body}. Output JSON with fields: summary, labels, comment. If the SDK fails, output a fallback comment explaining the issue.Teams that need faster development output with more stable prompt quality.
Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.
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1. Trigger via GitHub webhook or API to capture issue_id, repo_name, issue_title, issue_body.
2. Call the Copilot SDK issue processing endpoint with the captured variables and receive a JSON response.
3. Parse the response to extract summary, labels, and comment.
4. Use the GitHub API to update the issue: add the suggested labels and post the comment.
5. Cache the response in Redis or a file system for future reference.
6. If the SDK call fails, execute the fallback logic in step 4 using keyword matching to generate a simple comment.
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