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seb1n
GitHub-Creator-Profil

seb1n

Repository-Ansicht von 103 gesammelten Skills in 1 GitHub-Repositories.

gesammelte Skills
103
Repositories
1
aktualisiert
9. Aug. 2026
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Wo die Skills liegen

Top-Repositories nach gesammelter Skill-Anzahl, mit ihrem Anteil an diesem Creator-Katalog und ihrer Berufsverteilung.

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Repositories und repräsentative Skills

agent-evaluation
Softwareentwickler

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,…

9. Aug. 2026
agent-observability
nicht klassifiziert

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…

9. Aug. 2026
human-in-the-loop
nicht klassifiziert

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…

9. Aug. 2026
mcp-server-building
nicht klassifiziert

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…

9. Aug. 2026
multi-agent-orchestration
nicht klassifiziert

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…

9. Aug. 2026
tool-schema-design
nicht klassifiziert

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…

9. Aug. 2026
agent-red-teaming
nicht klassifiziert

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…

9. Aug. 2026
prompt-injection-defense
nicht klassifiziert

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…

9. Aug. 2026
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