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seb1n
GitHub 제작자 프로필

seb1n

1개 GitHub 저장소에서 수집된 103개 skills를 저장소 단위로 보여줍니다.

수집된 skills
103
저장소
1
업데이트
2026년 8월 9일
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

agent-evaluation
소프트웨어 개발자

Design reproducible evaluations for AI agents with representative task sets, explicit rubrics, appropriate graders, baselines, regression gates, and failure analysis. Use when defining agent quality, comparing prompts or models, validating a release,…

2026년 8월 9일
agent-observability
미분류

Design privacy-aware observability for AI agents using traces, spans, structured events, metrics, cost attribution, dashboards, alerts, and investigation workflows. Use when instrumenting an agent, debugging intermittent tool or model failures, defining…

2026년 8월 9일
human-in-the-loop
미분류

Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows. Use when deciding which agent actions require review, adding approve/reject or dual-control flows, preventing unauthorized…

2026년 8월 9일
mcp-server-building
미분류

Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports, structured errors, and interoperability tests. Use when creating a new MCP server, exposing an API or data…

2026년 8월 9일
multi-agent-orchestration
미분류

Design and operate bounded multi-agent workflows with task decomposition, dependency graphs, ownership, handoff contracts, shared-state controls, approvals, recovery, and synthesis. Use when a task contains genuinely independent workstreams, specialized…

2026년 8월 9일
tool-schema-design
미분류

Design and validate model-facing tool definitions with clear names, action-oriented descriptions, bounded JSON Schema parameters, explicit side effects, safe defaults, idempotency, errors, and realistic tests. Use when creating function-calling tools, MCP…

2026년 8월 9일
agent-red-teaming
미분류

Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings. Use when defining red-team rules of engagement, assessing…

2026년 8월 9일
prompt-injection-defense
미분류

Threat-model and harden AI agents, RAG systems, assistants, and tool-using workflows against direct, indirect, stored, cross-agent, and multimodal prompt injection. Use when reviewing an agent architecture, isolating untrusted content, constraining tools and…

2026년 8월 9일
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