Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill decompose-and-or-goalPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
decompose-and-or-goal
Purpose
Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
Input contract
required: [top_goal, constraints]
optional: [actor_profile, obstacle_report, existing_subgoals]
constraints: [branch semantics, dependencies, and leaf criteria must be explicit]Procedure
- Split the goal into necessary AND conditions and alternative OR paths.
- Recurse until each leaf has an observable result or executable action.
- Attach actors, dependencies, constraints, and unresolved feasibility to each branch.
- Preserve shared subgoals as DAG nodes rather than duplicating them.
If the AND/OR decomposition is complete enough to test necessity and coverage, consider validate-goal-tree as the next tactic.
Output contract
produces: [goal_dag, branch_semantics, executable_leaves, dependency_edges, feasibility_questions]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]Quality gates
- Every leaf traces to the top goal.
- AND/OR labels and dependency directions are unambiguous.
- Cycles and duplicate shared nodes are flagged.
Failure and counterexamples
Do not split prose into labels without changing testability, and do not treat alternatives as simultaneous requirements.
Provenance map
resolved: north-star-crystallization-and-or-decompose

