Create GitHub Issue knowledge entries. TRIGGERS - share knowledge, document solution, create how-to, add to knowledge base.
How this skill is triggered — by the user, by Claude, or both
Slash command
/github-issues-operations:creating-knowledge-entriesThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
One-shot knowledge capture with full automation.
One-shot knowledge capture with full automation.
Activate this skill when user says:
Just paste what you want to share (any format is fine):
Critical: Do NOT ask user about types, categories, or labels. User shares freely, AI decides everything autonomously.
Process user input completely autonomously:
See REFERENCE.md for complete automation pipeline.
✅ Created Issue #{number}!
📋 What I decided:
─────────────────────────────────────────
Title: "{AI-extracted-title}"
Type: {type-emoji} {type-name}
Labels: {label1, label2, label3}
(based on existing repo labels)
Format: Structured with sections
{auto-generated-sections}
Related: Linked to #{n1}, #{n2}
─────────────────────────────────────────
🔗 {issue-url}
Search: gh search issues "{keywords}" --label={primary-label}
Input:
tmux is great for persistent sessions. ctrl-b d to detach and
tmux attach to reattach. Useful when ssh connections drop.
Output: Formatted GitHub Issue:
gh CLI (issue creation)gh-models extension (AI labeling, title extraction)jq (JSON processing)Content too short (< 20 chars):
I need more content to create a useful knowledge entry.
Could you provide at least a sentence or two?
API fails:
⚠️ Couldn't create issue automatically. Here's the formatted content:
[formatted markdown shown]
Create manually: gh issue create --title "..." --body-file content.md
For detailed automation pipeline, templates, and examples, see REFERENCE.md.
Repository: https://github.com/terrylica/claude-code-skills-github-issues
npx claudepluginhub terrylica/claude-code-skills-github-issues --plugin github-issues-operationsCreates, edits, and verifies skills using a test-driven development approach with pressure scenarios and subagents.