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Atmosphere
GitHub creator profile

Atmosphere

Repository-level view of 17 collected skills across 1 GitHub repositories, including approximate occupation coverage.

skills collected
17
repositories
1
occupation fields
5
updated
2026-05-05
repository explorer

Repositories and representative skills

#001
atmosphere
17 skills3.8k759updated 2026-05-05
100% of creator
spec-test-with-frontmatter
محللو ضمان جودة البرمجيات والمختبرون

Fixture used by PromptLoaderTest to verify frontmatter stripping.

2026-05-05
ai-assistant
مطوّرو البرمجيات

Streaming chat assistant with conversation memory. Use as a general-purpose assistant for multi-turn conversations where streaming output and context retention matter.

2026-05-05
billing-agent
موظفو الفواتير والترحيل

Billing specialist for invoices, payments, refunds, and plan changes. Use when customers ask about charges, billing inquiries, or subscription management; typically reached via handoff from the support agent.

2026-05-05
classroom
منسّقو التدريس

Multi-room AI classroom where all students see AI responses simultaneously, with per-room subject focus (math, science, code, general). Use for shared-broadcast educational settings.

2026-05-05
dentist-agent
أطباء الأسنان العامون

Emergency dental assistant (Dr. Molar) for triage, first aid, and severity classification of broken/chipped/cracked teeth, delivered over web, Slack, or Telegram. Use for non-diagnostic dental guidance only.

2026-05-05
finance-agent
محللو التمويل والاستثمار

Financial analyst for startup economics — TAM/SAM/SOM, revenue projections, burn rate, runway, and break-even. Use when building financial models or evaluating investment cases.

2026-05-05
koog-assistant
السكرتيرون والمساعدون الإداريون (باستثناء القانوني والطبي والتنفيذي)

Concise general-purpose assistant powered by JetBrains Koog. Use when a brief, focused answer is preferable to long-form output.

2026-05-05
llm-judge
محللو ضمان جودة البرمجيات والمختبرون

AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity. Use when evaluating multi-agent output or implementing LLM-as-judge quality gates.

2026-05-05
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