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SylphxAI

operability

by SylphxAI

🚀 AI development platform with MEP architecture - stop writing prompts, start building with 90% less typing

4🍴 3📅 Jan 8, 2026

SKILL.md


name: operability description: Operations - deployment, rollback, feature flags. Use for ops tooling.

Operability Guideline

Tech Stack

  • Workflows: Upstash Workflows + QStash
  • Cache: Upstash Redis
  • Platform: Vercel

Non-Negotiables

  • Dead-letter handling must exist and be operable (visible, replayable)
  • Side-effects (email, billing, ledger) must be idempotent or safely re-entrant
  • Drift alerts must have remediation playbooks

Context

Operability is about running the system in production — not just building it. Systems fail. Jobs get stuck. State drifts. The question is: when something goes wrong, can an operator fix it without deploying code?

Consider the operator experience during an incident. What tools do they have? What runbooks exist? Can they safely retry failed jobs? Can they detect and fix drift?

Driving Questions

  • What happens when a job fails permanently?
  • How would an operator know something is stuck?
  • Can failed workflows be safely replayed without duplicating side-effects?
  • What drift can occur between systems, and how would we detect it?
  • What's the rollback plan if a deploy breaks something critical?
  • What runbooks exist, and what runbooks should exist but don't?

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

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+20
LICENSE

ライセンスが設定されている

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説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
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3ヶ月以内に更新

+5
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10回以上フォークされている

0/5
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オープンIssueが50未満

+5
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+5
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1つ以上のタグが設定されている

+5

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