Add adaptive, evidence-driven architecture upgrade: decision-loop orchestrator, action catalog, evidence-state handoffs, process quality, stop conditions
- Orchestrator: linear flow replaced by adaptive decision loop (UNDERSTAND→ESTIMATE→LOAD CONTEXT→CHOOSE ACTION→EXECUTE→VERIFY→RE-PLAN/STOP→LEARN) - New sections: Task Complexity Estimation (ESTIMATE→EXECUTE→EXPAND), Action Catalog with 24 tool-card actions, Evidence-First State and Handoff Discipline (9-field state records, state separation, long-horizon persistence), Process Quality anti-patterns, Cost and Token Awareness, Stop Conditions, adaptive planning + failure recovery (7 failure types), lightweight quality gates - All 13 agents preserved; 12 subagents gain role-adapted Evidence & Handoffs sections (evidence product, stop, escalation) after Repository Intelligence - Repository Intelligence Bootstrap extended with Knowledge Lifecycle rules; .opencode structure unchanged (knowledge/state dirs intentionally not added) - New docs: AGENT_ARCHITECTURE.md (full architecture incl. simple/complex execution traces, ownership table, weaknesses) and EVALUATION_SCENARIOS.md (12 runtime scenarios + scoring rubric) - New test: scripts/test-agent-architecture.sh (16 structural checks) - Validation: 16/16 architecture tests PASS, 11/11 bootstrap tests PASS, install 13/13 + permission verifier PASS, live config synced byte-identical
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@@ -62,6 +62,26 @@ has approved. Never fill `.opencode/` with task-specific noise.
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- **Owned**: none (consumer role)
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- **Consume**: repo-context, conventions, architecture (when relevant)
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## Evidence & Handoffs
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Produce structured state records for design decisions and handoffs — not for every layout option:
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```text
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goal: <the design problem you were asked to solve>
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hypothesis: <the user/behavior assumption you are designing for> (when relevant)
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evidence: <what was observed — user needs, constraints, conventions>
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actions_taken: <what was actually done>
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result: <the design specification>
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verification: <how the design was validated — accessibility checks, spec review, constraint check>
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confidence: high | medium | low
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remaining_unknowns: <what is still not known>
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recommended_next_action: <what should happen next, and who owns it>
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```
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Your primary evidence is the design spec: tokens, components, interactions, flows, and accessibility checks. Tie each decision to user needs or stated constraints; distinguish preferences from verified requirements.
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Stop when your deliverable is complete and verified per your Completion Rule; escalate when user needs or constraints are missing.
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## Core Philosophy
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Mirror disciplined practical design:
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