一键在 Manus 中运行任何 Skill

nt-chat-session-reflection

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更新时间2026年6月26日 11:39

Use when the user asks for a full retrospective or analysis of an AI-assisted work session, chat history, agent run, long task, profiling data, slow progress, repeated failures, weak tool/subagent use, context loss, planning gaps, quality risks, or process improvements. Produces one comprehensive evidence-based session review with bottlenecks, causes, better workflow, and concrete changes for future runs.

安装

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。

在 Manus 中运行

来源

d954mas

d954mas/game-67-idle

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在 Manus 中运行

nt-chat-session-reflection

Codex-discoverable instructions live in .codex/skills/nt-chat-session-reflection/SKILL.md. Read that file and follow it.

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Use for the items catalog CLI, ownership API, reason tags, quarantine/reconcile, or items state and migrations.

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Use for layout-affecting in-game UI work in this repository: new or changed HUDs, game screens, modal/dialogue sheets, menus, bottom navigation, responsive PC/phone layout, floating layers, clipping/scrolling/overflow, hit targets, or visual proof for a changed game UI surface. Forces a short widget/mode inventory before non-trivial edits so agents reuse existing Neotolis UI APIs. Skip for pure copy tweaks, asset swaps, or runtime automation tasks that do not change layout.

2026-07-150

nt-asset-image-generation

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Use ONLY after a source-first search (shared asset library + free CC0/OFL sources) finds no fit, to generate real raster art for AI Studio asset workflows: fake shots, icon/source sheets, sprites, UI art, or source images for later asset tools. Generation is the last resort, not the default. Prefer Codex CLI imagegen via `codex exec` and `scripts/codex_imagegen.sh`; use Antigravity/agy CLI only as fallback. Owns raster creation only; nt-asset-workflow coordinates asset tools, catalog/intake handoff, and ai_studio/quality visual acceptance.

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Use when starting or revising a game concept, first GDD, visual GDD, fake gameplay shot, gameplay loop, design pillars, reference pack, implementation handoff, or design-source cleanup for a specific game. Also use when converting loose ideas into scoped first playable requirements, gameplay data, UI flow, risks, and next implementation steps.

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