Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use for multi-step / ambiguous / end-to-end work — refactor a whole module, drive a vague ticket to a verified result, plan+build+verify a migration; coordinates the reasoning chain across skills.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The primary coordination mechanism of the Reasoning Discipline Protocol
(roadmap L6). It is behavioral glue — like subagent-orchestration
and feature-planning — that sequences the
discipline so it acts as one system instead of a buffet of optional steps. It
composes the underlying skills/rules; it never re-implements them, and it
adds no new flow (it is invoked within discovery/implementation, honoring
src/flows/README.md).
Engage per rdp-gate: skip on trivial
tasks; on a strong-reasoning host run light / as suggestion (it self-
coordinates); on a standard host run the full chain.
Scope (eval-calibrated, L6): engage only for interdependent multi-step work — multiple steps whose ordering and handoffs matter (schema → API → job → UI; a staged migration; a cross-cutting refactor). Not for single-turn analysis (explain / name / yes-no / pick-X-or-Y / one-shot edit): there the ordered chain is a no-op and only adds tokens.
Do NOT use for trivial / linear / fully-specified tasks or single-turn analysis (the gate filters these), and do not let it duplicate the work of the skills it coordinates.
Why scoped (L6, 2026-06-22). A controlled distributed-vs-orchestrated eval (N=16, independent rater) found the ordered chain gains +19.2% on multi-step work but −1.1% (a no-op) on single-turn reasoning. The standard host classifies multi-step vs single-turn at gate time with 16/16 accuracy, and a misclassification degrades gracefully (wrong arm is still functional). The revert trigger is a re-run of
tests/reasoning-layer-eval(the eval is the telemetry — this is a no-runtime package); RDP flip conditions are judged per-mechanism, never on a univariate aggregate. Evidence:tests/reasoning-layer-eval/RESULTS-L6-largeN-2026-06-22.md.
Each link delegates to the artifact that owns it (no duplication):
think-before-action § Environment grounding);
seed the read from the repo slot of the
context-spine when present.improve-before-implement § Intent inference).notes-first-reasoning).complexity-first-planning); dispatch
independent subtasks async (subagent-orchestration § RDP),
auto-triggered by the delegation-policy rule
(gates on the emergency incident switch + host manifest — always-on
orchestration carries no per-layer on/off setting).verify-before-complete).adversarial-review § RDP).If the orchestrator does not fire (gate off, or the host skips it), the individual skills/rules still apply on their own triggers — the discipline degrades gracefully to the distributed extensions rather than disappearing. The orchestrator's value is coherence (the links happen in order, with handoffs), not exclusivity.
The task's actual deliverable, produced through the chain (analysis before action — grounding and the load-bearing-unknown resolution precede any edit):
think-before-action) silently forks the
behavior; the two copies then drift. Always delegate, never re-implement.WHEN to use this
WHEN NOT to use this
rdp-gate filters these.think-before-action,
verify-before-complete) instead of the
whole chain.frontier-reasoning-operating-profile.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
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Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
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Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
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Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
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