一键导入
dream-consolidate
Use when a scheduled or manual Dream Loop pass should refresh ACTIVE.md, strengthen LEARNINGS.md, and drain unresolved inbox signal.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use when a scheduled or manual Dream Loop pass should refresh ACTIVE.md, strengthen LEARNINGS.md, and drain unresolved inbox signal.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when a task needs controlled capability discovery and adoption across official plugins, local skills, and trusted GitHub projects.
Use when active work produces a memory-worthy signal. Direct-land explicit strong signal into ACTIVE.md or LEARNINGS.md when the destination is clear; use inbox only for unresolved inferred signal.
| name | dream-consolidate |
| description | Use when a scheduled or manual Dream Loop pass should refresh ACTIVE.md, strengthen LEARNINGS.md, and drain unresolved inbox signal. |
Use during off-hours or explicit maintenance. It refines public memory and resolves leftover uncertainty.
inbox/ACTIVE.mdLEARNINGS.mdARCHIVE/ when needed for lineageinbox/ immediatelyACTIVE.md entriesLEARNINGS.md with validated winning routesRefresh ACTIVE.md for hot, temporary, or immediately behavior-changing guidance.
Strengthen LEARNINGS.md for reusable winning routes with clear evidence.
Keep only inferred, ambiguous, weak, or still-competing signal in inbox/.
Auto-land from inbox/ only when the item survived one automation cycle, has no contradictory source or reviewer objection, has source trace, is executable, and has a clear destination.
Archive routes that are no longer hot, replaced, unsupported by evidence, rejected, or still unpromotable after review.
Before promoting a candidate into LEARNINGS.md, check:
If the evidence is real but still weak, keep the item in inbox/ or stage it as a proposal. Do not promote it just because it is plausible.
For judgment-heavy changes, produce a staged proposal with accepted edits, rejected candidates, target layer, evidence, reviewer/subagent notes, and rollback notes. Staging is not a public memory layer; it is an audit checkpoint before changing ACTIVE.md or LEARNINGS.md.
AGENTS.md; report any needed AGENTS.md change to the user before or while applying itAGENTS.md changes proposal-first and human-reviewedReport files read/changed, ACTIVE.md and LEARNINGS.md decisions, validation-gate evidence, staged proposals if any, rejected alternatives, reviewer or subagent resolution, archive actions, and remaining gaps.