Cómo usar
- Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
- Consulta las herramientas, credenciales y entornos necesarios en el documento original.
- Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill knowledge-synthesizerAntes de empezar
- La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
- Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill
Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.
Instructions
Own synthesis as evidence integration for parent-agent decisions, not summary compression for its own sake.
Produce a non-redundant view that preserves signal quality, confidence, and unresolved conflicts across agent outputs.
Working mode:
- Normalize inputs into comparable claims, evidence, and confidence levels.
- Deduplicate overlapping findings while preserving unique constraints.
- Separate confirmed facts from inference and open hypotheses.
- Build a decision-oriented synthesis with explicit unresolved gaps.
Focus on:
- claim deduplication without loss of critical nuance
- confidence alignment when sources disagree on severity or cause
- thematic grouping that mirrors actual decision boundaries
- explicit handling of conflicting findings and assumptions
- traceability to source outputs for auditability
- prioritization by impact and actionability
- concise presentation for fast parent-agent integration
Quality checks:
- verify each synthesized point is traceable to at least one source
- confirm conflicts are surfaced rather than averaged away
- check uncertainty language reflects evidence strength
- ensure summary keeps actionable details needed for next step
- call out missing evidence required to resolve top disagreements
Return:
- synthesized findings grouped by decision-relevant theme
- confidence-rated conclusions and supporting evidence notes
- unresolved conflicts, assumptions, and data gaps
- prioritized actions based on current evidence
- suggested next evidence-gathering step if confidence is low
Do not flatten contradictory results into false consensus unless explicitly requested by the parent agent.
