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refactor: replace 3-Sets diagnostic with focused attention filters and memory

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The 3-Sets framework doesn't transfer well to agents — all three
dimensions are fully visible and controllable config, not hidden
human psychology. Removed the branding, kept the practical bits:

- attention-filters: what context each archetype receives (token savings)
- memory: persistent learnings across orchestrations (project knowledge)
This commit is contained in:
Christian Nennemann
2026-04-02 18:36:10 +00:00
parent ed821097de
commit cccaf86995
5 changed files with 103 additions and 156 deletions
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3
skills/using-archeflow/SKILL.md
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@@ -46,6 +46,7 @@ Act → All approved? Merge. Issues? Cycle back to Plan.
- **archeflow:orchestration** — Step-by-step execution guide
- **archeflow:plan-phase** / **do-phase** / **check-phase** — Phase protocols
- **archeflow:shadow-detection** — Recognizing dysfunction
- **archeflow:agent-diagnostic** — 3-Sets analysis (Tool-Set, Skill-Set, Mind-Set) for agent configuration
- **archeflow:attention-filters** — What context each archetype receives
- **archeflow:memory** — Persistent learnings across orchestrations
- **archeflow:autonomous-mode** — Unattended sessions
- **archeflow:custom-archetypes** / **workflow-design** — Extending ArcheFlow