Tenferro Issue Intake
SkillDocs & knowledgeCreate or refine tenferro-rs GitHub issues through a step-by-step intake workflow. Use for bug reports, feature requests, design discussion issues, documentation issues, article-topic issues, and when a user proposes a new feature PR that must be redirected to an issue first. Do not use for implementation work.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Tenferro Issue Intake skill
What this skill tells your AI
The instructions your AI receives, as published by tensor4all/tenferro-rs in .agents/skills/tenferro-issue-intake/SKILL.md and read by ahel’s review.
Follow ai/contribution-workflows/issue-intake.md as the canonical workflow.
Read that file before drafting. Ask the user only for missing judgment calls or facts that cannot be discovered from the repository or GitHub state.
Keep the interaction incremental:
- Classify the issue type.
- Collect the goal and current friction.
- Gather reproduction details or use-case details.
- Apply the contribution scope gate.
- Draft title, body, acceptance criteria, and provenance notes.
- Wait for confirmation before creating the issue unless the user explicitly asked for direct creation.
Signals
- GitHub stars
- 77
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
tenferro-issue-intake- Source
- github.com/tensor4all/tenferro-rs