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seb1n
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seb1n

Vista por repositorio de 103 skills recopiladas en 1 repositorios de GitHub.

skills recopiladas
103
repositorios
1
actualizado
9 ago 2026
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Repositorios principales por número de skills recopiladas, con su participación en este catálogo del creador y su variedad ocupacional.

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Repositorios y skills representativas

agent-evaluation
Desarrolladores de software

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 ago 2026
agent-observability
sin clasificar

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 ago 2026
human-in-the-loop
sin clasificar

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 ago 2026
mcp-server-building
sin clasificar

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 ago 2026
multi-agent-orchestration
sin clasificar

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 ago 2026
tool-schema-design
sin clasificar

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 ago 2026
agent-red-teaming
sin clasificar

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 ago 2026
prompt-injection-defense
sin clasificar

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 ago 2026
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