Map knowns, unknowns, values, and reversibility to structure decision spaces.
npx skills add https://github.com/TylerGarlick/abraxas --skill kairos
Please help me install this Agent Skill. Skill: kairos Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/kairos Command: npx skills add https://github.com/TylerGarlick/abraxas --skill kairos
This Skill prevents AI from prematurely offering recommendations by forcing a structured analysis of decision spaces, ensuring all relevant factors like knowns, unknowns, values, and reversibility are explicitly mapped.
Use the kairos skill to frame the decision about whether to accept the job offer in Seattle.
High-intent search queries and answers about installing and using this skill.
Structuring a decision space requires mapping knowns, unknowns, stakeholder values, and option reversibility before analysis. This approach prevents premature recommendations by ensuring a comprehensive understanding of choice architecture.
Risk assessment mapping systematically documents available facts alongside information gaps to frame choices. Articulating stakeholder values and trade-offs clarifies priorities before evaluating the reversibility of each potential option.
Evaluating reversibility measures the ease of undoing each potential choice during decision framing. Assessing whether a path can be easily reversed helps calibrate risk tolerance and prevents premature commitments.
Structured thinking prevents premature recommendations by forcing a complete analysis of the decision space. Options mapping ensures all relevant factors are explicitly evaluated before any strategic choice is finalized.
Decision analysis integrates with Krisis for ethical deliberation and Agon for adversarial testing. These integrations provide comprehensive validation by challenging choice architecture through ethical and adversarial frameworks.
A structured decision framing process is needed for consequential choices like critical career moves. It maps decision scope, timeline, and stakeholder values to prevent premature commitments when facing high-impact options.
yu13130122297Identify uncertainties in research framing, datasets, metrics, and baselines.
mrapSpawn parallel agents to critique competing approaches and build consensus.
Fantasia1999Stress-test business plans and decisions with structured adversarial frameworks.
yin52133Analyze structured inputs to produce evidence-based conclusions with risk and confidence.
