iiRecord
Agentic AI Atlas · premortem-red-team-analysis
lib-process:scientific-discovery--premortem-red-team-analysisa5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--premortem-red-team-analysis

Structured · live

premortem-red-team-analysis json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:scientific-discovery--premortem-red-team-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "premortem-red-team-analysis",
    "description": "Anticipate failure modes through adversarial thinking - Guides teams through premortem and\nred team analysis to identify potential failures before they occur by imagining future failure scenarios.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/premortem-red-team-analysis.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Klein, G. (2007). Performing a Project Premortem. Harvard Business Review\n- Zenko, M. (2015). Red Team: How to Succeed by Thinking Like the Enemy\n- Kahneman, D. (2011). Thinking, Fast and Slow"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/premortem-red-team-analysis', {\n  plan: { name: 'Product Launch', timeline: '6 months', budget: '$2M' },\n  assumptions: ['Market demand exists', 'Team can deliver on time', 'Competitors won\\'t react'],\n  adversaries: ['Competitor A', 'Regulatory changes']\n});",
    "usesAgents": [
      "hypothesis-generator"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--premortem-red-team-analysis",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}