dot-skill
Unified meta-skill engine for distilling colleague, relationship, or celebrity characters into reusable Skills. | 统一的 meta-skill 引擎,把 colleague、relationship、celebrity 三类对象蒸馏成可复用 Skill。
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Unified meta-skill engine for distilling colleague, relationship, or celebrity characters into reusable Skills. | 统一的 meta-skill 引擎,把 colleague、relationship、celebrity 三类对象蒸馏成可复用 Skill。
Automatic conversation reflection and skill distillation for the DeepSeek Harness
Cross-session project memory for DeepSeek Harness: agent-maintained Markdown memory with progressive-disclosure topic files, digest-deduplicated injection, opt-in silent distillation, seven memory tools, and a live settings panel.
Wanjiqi (6657 live room) meme Skill for DeepSeek Harness (DSH): 22,771 real barrage memes distilled into an AI skill - wanjiqi-style barrage memes, CS x DOTA cross-memes, player roasting and casting banter. / 玩机器(6657直播间)烂梗 Skill:22771 条真实弹幕烂梗蒸馏成 AI 技能——玩机器式弹幕烂梗、CS×DOTA 双料梗、选手锐评与解说吐槽。
A DeepSeek Harness skill plugin distilled from Qian Xuesen (钱学森)'s Engineering Cybernetics (《工程控制论》) — a methodology framework for projects, engineering and research.
L1-L2-L3 three-tier memory agent harness: gate approval, zero-judgement event log, weekly distillation, TDD execution loop. Claude Code plugin and DeepSeek Harness (dsh) bundle.
DeepSeek Harness (DSH) plugin that packages a distilled bilingual guide to ComfyUI custom node development as the comfyui-node-dev skill, ready for any DSH agent to load.
DSH Web GUI 轻量记忆系统:四个大写 Markdown 文件(USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md)+ 两个动作(append 流水 / distill 沉降)。零外部依赖,只用 Node 内置模块;文件可视化、可 diff、可 git 管理。
Cross-session memory with governance, self-evolution and an approval-gated write path for DeepSeek Harness. Heat-ranked recall, environment conventions, forgetting lifecycle, supersession chains, poisoning defense, auto-distillation, and an open measurement ABI.
DSH recap plugin: distills every model request (turn:step) of a session into one sentence, appended incrementally with a cache-friendly prompt (history sentences first, new delta last). Side-effect-free for the agent loop.
dsh-memory — cited memory over DSH's lossless session log: post-session distillation into human-auditable markdown files, a compact recall index, memory_read/memory_expand tools, and a dsh-memory CLI
Zhihu (知乎) dashboard for DeepSeek Harness: hot list with trends, follow feed, post tracking, and app-idea distillation — from the UI and as native agent tools (zhihu_search/hot/answer/global_search/followees).
Local knowledge base for DeepSeek Harness: index markdown / text / code / web pages into a zero-dependency SQLite FTS5 store, retrieve snippets with sources, distill session experiences — tools kb_add, kb_add_url, kb_search, kb_stats, kb_list, kb_remember, kb_ingest_session, kb_experiences + interactive Web panel (kbquery fence).
MindMap: a DeepSeek Harness plugin that distills a conversation into persistent storylines (DEV_LOG) and renders them as an interactive map tab.
把书/长视频/播客/访谈蒸馏成可调用的 AI skills:RIA-TV++ 七阶段流水线(Adler 分析→并行提取→三重验证→RIA++ 构造→Zettelkasten 链接→压力测试→交付)。受 kangarooking/cangjie-skill(8.4k★ AGPL-3.0)启发。
Local-first automatic Wiki and Skill distillation for DeepSeek Harness
这是一套用来“蒸馏人生”的 Skill 系统。 它会把人生经历整理成一条可回看、可补充、可迭代的本地记忆链,支持访谈构建、记忆重历、角色扮演、蒸馏复盘,以及后续的查看与分享。
MiMoCode-style Zero-tool Workspace Memory Auto-Injection & Background Distillation Plugin for DeepSeek Harness
把真人蒸馏成 AI 技能:源材料(聊天/文档/邮件/截图)+ 主观描述 → 生成像 TA 一样工作的 Skill——工作能力层 + 五层人格层、公司文化/职级标签、增量演进与版本回滚。受 titanwings/colleague-skill(23.5k★ MIT)启发。
Codex-like persistent memory for DeepSeek Harness: auto-injected memory summary, raw memory tools, and per-session rollout summaries distilled into a bounded global memory file.
蒸馏主管(distillation-director):把一本书蒸馏成可执行 Agent 技能的判态制元技能(V4.1 三闸门禁制)
DSH 长期记忆插件:记忆库 + 会话蒸馏自动沉淀 + 设置面板,越用越懂你。守藏(Shoucang)单插件,panel + scheduler + 内嵌记忆技能。
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
Orbit — a reflection layer for DSH: hypothesis→task→result rings with objective done_when, rolling review, track-scoped playbooks, and weekly distillation with review gate.