Show HN: 자체 통합 코드를 작성하는 CLI
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{'이벤트': '📰', '머신러닝/연구': '📰', '하드웨어/반도체': '📰', '취약점/보안': '📰', '기타 AI': '📰', 'AI 딜': '📰', 'AI 모델': '📰', 'AI 서비스': '📰', 'discount': '📰', 'news': '📰', 'review': '📰', 'tip': '📰'} AI 모델
#ai 모델
#anthropic
#claude
#ai 터미널
#kagora
#다중 ai
#채팅 관리
요약
Superglue CLI는 한 번의 설치로 35개 이상의 AI 에이전트에서 작동하며, 명령어 처리, 인증, 디버깅 및 배포 기능을 제공합니다. 이 도구는 프로젝트별 설정 파일을 통해 에이전트가 사용 방법을 동적으로 학습할 수 있도록 지원합니다. 또한 보안 자격 증명 보호와 상세한 디버깅 옵션을 포함하여 개발자가 안전하고 효율적으로 시스템을 통합할 수 있는 모범 사례를 제시합니다. 에이전트 호환성이 없는 경우를 대비해 LLM 친화적인 문서 형식도 함께 제공합니다.
왜 중요한가
본문
sg command, handle auth, build tools, and debug failures. Install once, works across 35+ agents. Installing the CLI Setup Interactive setup:sg system list — if you see fetch failed or auth errors, double-check your API key and endpoint. Installing the Skill The skill gives your AI agent full CLI knowledge — commands, auth patterns, tool schemas, debugging, and deployment. Install once and the agent references it automatically.Universal Install (all agents) -g -a : Agent-Specific Install - Claude Code - Codex - Cursor From the Anthropic marketplace:Or load from local install: What the Skill Provides - All CLI commands with flags, options, and usage patterns - Authentication patterns — credential placeholders, OAuth flows, header formats - Tool configuration schema — step configs, data selectors, transforms, pagination - Debugging workflows — common errors, --include-step-results ,sg system call for isolation - Deployment patterns — SDK, REST API, webhooks (via references/integration.md ) - Specialized references for databases, file servers, and transforms (loaded on demand) Adding Project-Specific Context The skill teaches the AI how to use superglue. Add a section to your project’s AI config file (CLAUDE.md , AGENTS.md , or .cursorrules ) so it knows to use the skill and discover your setup dynamically: Best Practices Always test systems before building tools Have the agent runsg system call to verify auth and see the actual response shape before constructing a tool config: Use --include-step-results when debugging Shows the raw API response from each step — pinpoints whether the issue is auth, the endpoint, or a transform: Never paste secrets into chat Use--sensitive-credentials when creating systems via the CLI so secrets are prompted securely: LLM-Readable Documentation For agents that don’t support skills, we provide full docs in LLM-friendly formats: If your tool can fetch URLs — give it the URL. If it requires file uploads — download llms-full.txt and upload directly. Support & Resources - skills.sh — Install the superglue skill for any AI agent - CLI Reference — Full command documentation - Discord Community — Get help from other developers - GitHub Issues — Report bugs or request features