distilly
Distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.
30 results
Distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.
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
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.
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 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。
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.
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
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。
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。
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).
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
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.
Session distillation memory plugin for DeepSeek Harness: distills completed turns into durable knowledge entries surfaced as memory-<slug> skills
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。
Noteboard for the dsh web GUI: a workspace-wide infinite canvas of Markdown sticky notes (.noteboard/), with multi-canvas layouts, tag rearrange, conversation text capture, and an AI distill path.
dsh 插件 · 团队知识库:离线知识共享(FDE 盒子场景),浏览/全文检索/加工入口;raw 入料自动入队、bot 会话串行蒸馏成文(Karpathy LLM Wiki 模式:raw 不可变 / 两步加工 / log 流水 / 月度 lint)。
dsh plugin fork of the-missing-semester-skills: 29 agent skills distilled from MIT's The Missing Semester (2026), all 9 lectures.