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PythonReactSEOPDF

Skills IA research llm ai

Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: research llm ai
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GitHub

skill-creator

semicolon-devteam

SEMO Skill 생성 가이드 및 자동화. Use when: (1) 새 Skill 생성 요청, (2) Skill 구조 초기화, (3) Skill 검증 필요, (4) Skill 패키징. Anthropic Skills 표준 기반.

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GitHub

request-test

semicolon-devteam

QA 테스트 요청 스킬. Use when (1) 태스크카드 테스트 요청, (2) QA 담당자 할당, (3) 테스트 범위 지정, (4) Slack 알림 전송.

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GitHub

create-command

semicolon-devteam

Create SEMO slash commands following Claude Code conventions. Use when (1) need to add new /SEMO:command, (2) creating interactive workflows triggered by slash commands, (3) packaging command-based operations.

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GitHub

package-validator

semicolon-devteam

SEMO 패키지 구조 및 Sub-Agent 최적화 규칙 검증. Use when (1) Agent/Skill 추가/수정/삭제 후 검증, (2) CLAUDE.md 업데이트 후 일관성 확인, (3) 버저닝 전 품질 게이트, (4) Sub-Agent 최적화 규칙 준수 감사.

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GitHub

llm-optimization

Soborbo

Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.

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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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PythonReactWeb3FastAPILLM-Ops