971 results
Standalone DeepSeek Harness plugin: continual harness self-evolution. The agent persists and refines reusable prompt notes, memories, skill contracts, and subagent specs through small evidence-backed edits, with automatic refinement gates, rollback, and prompt injection.
DeepSeek Harness-native publicity toolkit: turn any long-form source into a source-grounded, platform-native promotion matrix.
Browser4 skills bundle for DeepSeek Harness — AI-native browser automation (browser4-cli) for autonomous agents, intelligent extraction, and large-scale web automation. Registers the Browser4 skills (browser4-cli, browser4-experience, browser4-plugin, scent-miner) into the DSH skill registry.
全网最强 DeepSeek Harness 插件商场：全量收录 GitHub #dsh-plugin 生态插件，五维实用评分雷达图，智能搜索（AI 理解需求）、智能安装/更新/卸载（AI 装前审查+装后诊断）、一键批量更新、编辑精选与个性化推荐，自带 Skills 工具与 dsh-mall 技能，中英多语言界面。
DSH skills manager + SkillHub marketplace: manage user-level/per-workspace skills and search/install skills from SkillHub in a Web UI panel
Bridge Claude Code's memory, skills, and configuration into DeepSeek Harness — zero migration, full compatibility
DSH 插件：全模式工具失败自动实录——把原生工具、PTC(Code Mode) run_code、代码内嵌工具调用的失败按错因去重计数，自动写入 skill 的机器维护区段，越用越少错。Auto-record tool failures from every execution mode into a skill's machine-maintained section (dedup + counts).
Local PDF, Office, image, and OCR document intelligence for DeepSeek Harness.
Self-evolving memory + skill lifecycle for DeepSeek Harness. Cross-session memory with zero-token deterministic recall (bigram-Jaccard fused with FTS5 BM25 via RRF), a tiered approval gate, and reinforcement that strengthens what you repeat. Procedural knowledge crystallizes into SKILL.md files that refine in place and are curated through an active-stale-archived lifecycle (reversible archive, pre-op backups, rollback, never deletes). Includes background per-turn review, anti-bloat convergence for both skills and memory, an auto-grown user profile, and a web settings page.
思维导图模式（dsh-mindmap）：把课件（PPT/PDF/Word）与电子书按「组胚思维导图」范例整理成打印级 HTML 复习思维导图——A3 横向、每主干知识点一页、大括号式横向布局、宋体大字不溢出、右侧留白笔记区、封面总览 + 交互式测试题。附带 mindmap-builder skill 与 mm_generate 工具。
Installable dsh bundle for the dsh-octo heterogeneous-agent orchestration skill
dsh 定时任务插件：在左侧栏“新会话”下方提供“定时任务”入口，支持 cron 定时执行 shell / python / nodejs 脚本、skills 与自定义 agent 任务，可对接 chicheng-push 与 messaging-core 推送通知、成功后自动归档会话，移动端适配
Generate and review portable Function, MCP, and Agent Skill packages from existing code.
SummerSec personal Agent Skills monorepo and DeepSeek Harness profile bundle; version mirrors multi-platform plugin manifests.
AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
Self-contained Trellis workflow trigger for DeepSeek Harness: per-turn breadcrumb injection via agent/pre-step, a bundled skill provider, and DSH-native task/phase state resolution. No Trellis AGPL code is vendored; workflow semantics are rewritten and licensed MIT.
为 dsh（DeepSeek Harness）开发扩展时使用——创建 agent preset（角色化 Agent）、插件 bundle、接入 MCP server、网页端 UI 组件。用户说"给 dsh 做个插件/做个 Agent/加个工具/接 MCP/自定义模式"等时使用。提供 dshdev 脚手架 CLI 与官方文档导航；官方教程是唯一权威，本 skill 只做路径决策与脚手架。
创建、运行和续玩仅限虚构成年人的沉浸式互动叙事，支持完整随机开局、张力引擎、身份与处境生成、NPC独立决策、时间推进、事件队列、世界追算和可恢复存档。仅当用户明确要求创建或续玩此类叙事，以及其存档、开局或世界推演时使用；不用于无关的总结、存档、角色扮演或世界推演。
Stable, editable PPTX generation for AI agents — semantic IR in, native DrawingML out
Modular AI research/engineering skill pack for DeepSeek Harness — security audit, paper workflows, dev workflow, storage analysis. Installable via dsh plugin add.
Inspect and manage the live instruction chain and project skills for the current dsh session, with in-place creation and editing — what you see is what the model gets
DSH 视频创作技能插件：注册 Remotion 官方移植技能（React 编程式视频：动画/音频/字幕/3D/图表/字体，38 个规则文件），安装即用。
微信官方 ilink 机器人网关绑定+通知+监听+上报（ClawBot）：扫码绑定、微信在线/断线状态、自动通知开关、批准/选择提醒、微信消息监听并自动处理、webhook 上报
ECC (227k-star operator system) skills for DeepSeek Harness — progressive port of 274 curated single-file skills (agentic engineering, evaluation, testing, patterns, vertical domains, docs). Adapted from affaan-m/ECC (MIT)