dotfiles/dot_config/opencode/skills/ce-report-bug/SKILL.md
Report a bug in the compound-engineering plugin
npx skillsauth add pkking/dotfiles ce-report-bugInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Report bugs encountered while using the compound-engineering plugin. This skill gathers structured information and creates a GitHub issue for the maintainer.
Ask the user the following questions using the platform's blocking question tool: AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini, ask_user in Pi (requires the pi-ask-user extension). Fall back to numbered options in chat only when no blocking tool exists in the harness or the call errors (e.g., Codex edit modes) — not because a schema load is required. Never silently skip the question:
Question 1: Bug Category
Question 2: Specific Component
Question 3: What Happened (Actual Behavior)
Question 4: What Should Have Happened (Expected Behavior)
Question 5: Steps to Reproduce
Question 6: Error Messages
Automatically gather environment details. Detect the coding agent platform and collect what is available:
OS info (all platforms):
uname -a
Plugin version: Read the plugin manifest or installed plugin metadata. Common locations:
~/.config/opencode/plugins/installed_plugins.json.codex/plugins/ or project configAgent CLI version: Run the platform's version command:
claude --versioncodex --versionIf any of these fail, note "unknown" and continue — do not block the report.
Create a well-structured bug report with:
## Bug Description
**Component:** [Type] - [Name]
**Summary:** [Brief description from argument or collected info]
## Environment
- **Plugin Version:** [from plugin manifest/registry]
- **Agent Platform:** [e.g., Claude Code, Codex, Copilot, Pi, Kilo]
- **Agent Version:** [from CLI version command]
- **OS:** [from uname]
## What Happened
[Actual behavior description]
## Expected Behavior
[Expected behavior description]
## Steps to Reproduce
1. [Step 1]
2. [Step 2]
3. [Step 3]
## Error Messages
[Any error output]
## Additional Context
[Any other relevant information]
---
*Reported via `/ce-report-bug` skill*
Use the GitHub CLI to create the issue:
gh issue create \
--repo EveryInc/compound-engineering-plugin \
--title "[compound-engineering] Bug: [Brief description]" \
--body "[Formatted bug report from Step 3]" \
--label "bug,compound-engineering"
Note: If labels don't exist, create without labels:
gh issue create \
--repo EveryInc/compound-engineering-plugin \
--title "[compound-engineering] Bug: [Brief description]" \
--body "[Formatted bug report]"
After the issue is created:
Bug report submitted successfully!
Issue: https://github.com/EveryInc/compound-engineering-plugin/issues/[NUMBER]
Title: [compound-engineering] Bug: [description]
Thank you for helping improve the compound-engineering plugin!
The maintainer will review your report and respond as soon as possible.
gh CLI is not installed or not authenticated: prompt the user to install/authenticate firstThis skill does NOT collect:
Only technical information about the bug is included in the report.
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.