Sigil: Scope Interview
SkillDev toolsUse when: interviewing a greenfield idea, brownfield repository, or mixed project scope into a structured discovery baseline.
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 Sigil: Scope Interview skill
What this skill tells your AI
The instructions your AI receives, as published by cyberalchemyai/arcanum in arcana/scope-interview/SKILL.md and read by ahel’s review.
- distinguish observed, stated, hypothesized, decided, and unresolved content,
- cite repository evidence when available,
- document in-scope and out-of-scope boundaries,
- record blocker decisions or blocked status,
- make hypotheses falsifiable,
- avoid implementation planning before the baseline is stable,
- return a readiness verdict with concrete next actions.
- treating user hopes as observed facts,
- inspecting code so broadly that the interview never starts,
- producing implementation tasks before scope is understood,
- hiding out-of-scope boundaries,
- omitting counter-positions for central assumptions,
- marking readiness while blocker decisions remain unresolved.
## Scope Interview Result
- Mode: greenfield | brownfield | auto
- Scope: <scope>
- Evidence inspected: <summary>
- Discovery artifacts: <paths>
- Decisions recorded: <count>
- Blockers: <count>
- Verdict: ready for planning | needs more discovery | blocked on scope gate | blocked on decisions
- Next actions: <ordered list>
Signals
- GitHub stars
- 25
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
scope-interview- Source
- github.com/cyberalchemyai/arcanum