abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Formalize objectives, constraints, and tradeoff preferences for optimization.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-objective -a windsurf -y
name: define-objective description: "Formalize objectives, constraints, and tradeoff preferences for optimization."
Formalize objectives, constraints, and tradeoff preferences before an optimization or selection decision.
required: [decision_context, candidate_set, stakeholder_preferences] optional: [hard_constraints, utility_scale, priority_weights] constraints: [objectives are measurable or operationalized; tradeoffs and constraint direction are explicit]
1. Elicit the desired outcome, affected scope, stakeholders, and time horizon. 2. Separate objectives from constraints and preferences, then define each objective's direction and measurement. 3. Record conflicts, permissible tradeoffs, and any weights or lexicographic priorities with their rationale. 4. Emit an objective schema suitable for comparison, optimization, and later audit.
produces: [objective_schema, constraint_schema, tradeoff_policy, unresolved_preferences] delta_fields: [findings, assumption_updates, uncertainties, decisions, open_questions]
Do not encode a preferred solution as an objective. If two stakeholders use the same word for different outcomes, preserve separate definitions.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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