Abstract Fig

AidaShika/personal-agent-dossier

当你要把一个 AI agent 的职能、反职责、定时任务和长期记忆导出成平台无关的档案、从档案导入或还原一个 agent、检查两份档案是否漂移，或为你的平台写导出导入适配器时使用。用户也常这样说：把这个助手的活和记忆打包带走、我要换平台了、这个 bot 不用了把它的工作交接出去、两份档案对一下看哪儿对不上；pack up this agent and move it to another platform、I'm switching agents, take its memory with it；このボットの引き継ぎをして、別のプラットフォームに引っ越したい、記憶ごと持っていって；이 봇 더 안 쓰니까 인수인계해줘、플랫폼 옮길 거야 기억까지 챙겨서 내보내줘。不用于：导出聊天记录、agent 之间的实时通信协议（如 A2A）类问题。

buluslan/amazon-keyword-strategy

由 buluslan（公众号:新西楼.AI）研发的亚马逊关键词库搭建 + 打法分析 Skill。 反查出词 → 标品/非标品判别 → 词根六分类，把几百个关键词变成一份可执行的广告作战图—— 每个词都带打法（主攻 / 截流 / 否定），区别于一次性关键词报告的数据罗列。 数据源无关：适配器按环境可用性切换，没有数据源上传词表照样跑。 更多跨境电商 AI 实战内容，请关注公众号「新西楼.AI」。 Builds an executable Amazon keyword battle plan from competitor/own ASINs or a raw keyword list: auto-fetches and classifies keywords, judges standard vs non-standard products, outputs precise/negative word tables with PPC strategy. Trigger whenever the user mentions 搭关键词库、新品建词库、关键词调研、反查建库、 PPC 选词、标品/非标品打法、关键词分层、否定词建立、关键词打法分析 — in any language; 中文用户说这些词时同样适用（即使用户没明说要调用）。

jason201385-commits/positioning-companion

AI 時代的自助定位與反向驗證工具。用好惡、夢想年、既有能力、財務與安全條件，判斷適合做內容、改善工作流、留在本業放大優勢，或暫不定位；輸出可驗證的定位卡與不用新產品的替代方案。當使用者說「幫我定位」「我在 AI 時代能做什麼」「我該往哪走」「選方向」「我需要做內容或產品嗎」時使用。

quantskills/skill-pandaai-factor-online

Set up pandaai-cli, log in to PandaAI, and mine, backtest, and iterate quantitative factors on the platform. Use when an agent needs to onboard a user to the PandaAI factor competition, install or log in to pandaai-cli, look up available fields and operators, write or debug factor formulas, run and batch factor analyses, or interpret IC / group-return / turnover results on portable agent platforms such as Claude Code, Cursor, OpenClaw, or Codex-style skill systems.

gbasin/clanker-discipline

Catches state bloat, grab-bag models, and mutation ambiguity from AI coding agents. Use when reviewing state types, boolean flags, optional-field models, or mutable data patterns.

royashbrook/hush

Use whenever an agent needs to STORE, GENERATE, or USE a secret such as an API token, signing key, or password. Hush has one hard rule: the agent never sees plaintext, so it never enters chat, transcripts, stdout, logs, the clipboard, or a temp file. A user-provided value enters once through a hidden prompt; a strong random value can be generated directly into the OS-backed store. Hush later injects it straight into a consumer through an environment variable or stdin, never prints it, and deliberately has no plaintext get command. Trigger on "store this token", "save this key", "add it to the