5 Commits

Author	SHA1	Message	Date
Christian Nennemann	8837a359ac	refactor: simplify memory and shadow-detection skills ... Trim verbose implementation details that duplicate what the bash helper scripts already handle. Memory skill: 278 -> 120 lines. Shadow detection skill: 180 -> 66 lines. All essential protocols, tables, and commands preserved; removed redundant algorithm descriptions, multiple examples, and narrative prose.	2026-04-06 20:42:47 +02:00
Christian Nennemann	dd82944529	feat: add memory injection audit trail for effectiveness tracking	2026-04-04 08:30:31 +02:00
Christian Nennemann	19f8f76232	feat: add memory, convergence, colette bridge, templates, progress, effectiveness, git integration ... - skills/memory: cross-run learning from recurring findings + lib/archeflow-memory.sh - skills/convergence: oscillation detection + early termination in multi-cycle runs - skills/colette-bridge: auto-inject voice profiles, personas, characters from colette.yaml - skills/templates: workflow/team/archetype gallery with init/save/share - skills/progress: live .archeflow/progress.md during runs - skills/effectiveness: per-archetype signal-to-noise + cost efficiency scoring - skills/git-integration: auto-branch per run, commit per phase, rollback support	2026-04-03 11:40:04 +02:00
Christian Nennemann	60cdedeec1	chore: remove memory skill — duplicates native Claude Code CLAUDE.md and MEMORY.md	2026-04-02 18:38:29 +00:00
Christian Nennemann	cccaf86995	refactor: replace 3-Sets diagnostic with focused attention filters and memory ... 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)	2026-04-02 18:36:10 +00:00