Skills should interconnect with each other rather than operate independently; output of one feeds another.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• A skill should do its work and stop, avoiding performative complexity and multi-stage flows when single-pass suffices.claim0.826
• A skill works at multiple reinforcing scales: individual command, skill invocation, and user project.claim0.822
• Parallel sub-tasks within skills and across skill families should produce parallel outputs for legibility.claim0.820
• Skills that occasionally produce unexpected output may be more useful than perfectly predictable skills.claim0.786
• The ability to recruit participants to complete tasks may be a central competency of collective intelligence that works across scales, from cells to swarms.claim0.777
  Identifies recruitment as a cross-scale hallmark of collective intelligence.
• What is the quality they have in common?question0.772
  Question asked about the six big projects to identify shared features of living process buildings.
• Organised structure of relationships between parts, sufficient to exhibit information integration and collective action, can be produced via fully-distributed unsupervised learning.claim0.771
  Central claim from connectionist models: complex coordination emerges without centralized control or external teacher.
• Fewer concepts must be learned if all tools share a unified underlying modelclaim0.766
  Kay argues that presenting draw, spreadsheet, and text as instances of the same rectangle/rule abstraction reduces cognitive load versus separate systems.