3 Commits

Author	SHA1	Message	Date
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	b6df3d19fd	feat: add automated PDCA loop, domain adapters, cost tracking, DAG renderer ... - skills/run: automated PDCA execution loop with --start-from, --dry-run - skills/artifact-routing: inter-phase artifact protocol with context injection - skills/act-phase: structured review→fix pipeline with cycle feedback - skills/domains: domain adapter system (writing, code, research) - skills/cost-tracking: per-agent cost estimation, budget enforcement - lib/archeflow-dag.sh: ASCII DAG renderer from JSONL events - lib/archeflow-report.sh: updated with DAG section, cycle diff, --dag/--summary flags	2026-04-03 11:20:14 +02:00
Christian Nennemann	1753e69a9f	feat: add process logging with DAG-based event sourcing ... Event-sourced orchestration logging: JSONL events with parent relationships form a DAG for causal reconstruction of agent flows. Includes bash event emitter (jq-based) and markdown report generator.	2026-04-03 11:06:02 +02:00