Antigravity Agent
c24165b8bc
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2.9 KiB
2.9 KiB
id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
| id | title | category | status | verification_status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | created_at | updated_at | review_reason | merge_history | tags | raw_sources | applied_in | github_commit | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| sql-avg | SQL Avg | Database | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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SQL Avg
🎯 한 줄 통찰 (One-line insight)
AVG() returns a numeric column's mean, ignoring NULLs, and doubles as a comparison baseline when nested as a subquery in a WHERE clause. [S1]
🧠 핵심 개념 (Core concepts)
- AVG() function — returns the average value of a numeric column; ignores NULL values. [S1]
- Syntax —
SELECT AVG(column_name) FROM table_name WHERE condition;. [S1] - AVG() with GROUP BY — returns the average per group. [S1]
🧩 추출된 패턴 (Extracted patterns)
- AVG() as a subquery baseline —
WHERE Price > (SELECT AVG(Price) FROM Products)uses AVG() inside a subquery to compare each row against the overall average — a reusable pattern for "above/below average" filters. [S1]
📖 세부 내용 (Details)
- Basic average:
SELECT AVG(Price) FROM Products;. [S1] - With WHERE:
SELECT AVG(Price) FROM Products WHERE CategoryID = 1;. [S1] - With alias:
SELECT AVG(Price) AS [average price] FROM Products;. [S1] - Above-average filter via subquery:
SELECT * FROM Products WHERE Price > (SELECT AVG(Price) FROM Products);. [S1] - With GROUP BY:
SELECT AVG(Price) AS AveragePrice, CategoryID FROM Products GROUP BY CategoryID;. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — "평균 이상/이하" 필터링은 실무 리포트에서 흔한 패턴이다. [S1]
💻 코드 패턴 (Code patterns)
Above-average filter using AVG() as subquery (SQL):
SELECT * FROM Products
WHERE Price > (SELECT AVG(Price) FROM Products);
✅ 검증 상태 및 신뢰도
- 상태: draft
- 검증 단계: conceptual
- 출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
- 신뢰 점수: 0.90
- 중복 검사 결과: 신규 생성 (New discovery)
🔗 지식 그래프 (Knowledge Graph)
- 상위/루트: SQL Tutorial
- 관련 개념: SQL Aggregate Functions, SQL Group By, SQL Where
- 참조 맥락: 평균값 계산 및 평균 대비 비교 필터링의 기본 함수.
📚 출처 (Sources)
- [S1] W3Schools — SQL AVG() Function — https://www.w3schools.com/sql/sql_avg.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL AVG() Function" page (Astra wiki-curation, P-Reinforce v3.1 format).