dsh-run2skill
Turn explicit DSH session experience into reviewable native Skills
25 results
Turn explicit DSH session experience into reviewable native Skills
DSH Web内目前最无感的消息撤回、重编辑插件,原版体验,兼容性强,功能简单可开关,设置丰富,现代化轻量ui框架。The most seamless message recall & re-edit plugin for DSH Web — native experience, strong compatibility, simple toggles, rich settings, modern lightweight UI. DSH Web で最もシームレスなメッセージ撤回・再編集プラグイン——ネイティブ体験、高い互換性、シンプルなトグル、充実した設定、モダンで軽量な UI。
dsh plugin that turns the iterate skill into an autonomous closed-loop harness with quality command center and experience bank (v3.3). Features: plan -> parallel review xN -> atomic fixes -> validate -> loop -> auto-stop, plus dry-run pure-review mode, qu
Better input experience for DeepSeek Harness: voice input, AI polishing, prompt optimization, and local file input / file-to-Markdown
DeepSeek Harness UX walkthrough plugin: persona-driven source-code UX review for React (TypeScript/JavaScript) and Vue 3 projects, with change-triggered automatic walkthroughs
DeepSeek Harness plugin that connects to a PowerContext Server over HTTP for recall, memory, handoff, experience, and skills.
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.
Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.
Installable DeepSeek Harness plugin and reference implementation for the Agent Experience Network and AEXP 0.1
Task planning with experience muscle-memory for DeepSeek Harness: condition-reflex recall of past solutions + LLM-driven capability matching + auto-persisted lessons. Zero keys, zero hard-coded paths.
Native DeepSeek Harness plugin marketplace for discovering, filtering, installing, and managing community DSH plugins.
Long-term mathematics research guidance for DeepSeek Harness: literature and annotatable tools, reusable research experience, session continuity, and optional Lean verification, synced from four parent plugins.
Experience Memory for DeepSeek Harness
经验库(更有经验的DeepSeek):实时采集/打标队列/半自动+全自动空闲派活/位置索引/10本试验经验技能书+benchmark数据。适配 meow-memory 教训层。host 半 esbuild 自包含产物 + export default 插件形态。
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).
Fill dead waiting time: while a long task runs, surface one small, true, topic-relevant fun fact — never touching the agent's context or result.
dsh-experience-flywheel · DSH 经验飞轮插件 — agent cross-session experience memory + dual-acceptance gates (auto query/inject via agent/pre-step middleware; exit-1 gate scripts)
Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.
DSH plugin: model reasoning levels plus CLI request mimic, with a unified Daily Optimization settings section.
Portable Git repository service and DSH client experience
DSH 全局经验插件(骨架):自动探测本地依赖/便捷路径/网络/磁盘并沉淀为跨会话环境档案,订阅 session/event 折叠每会话统计,把低开销摘要注入每轮系统提示,env_profile 工具按需查全量——减少重复探测、加快会话、降低 token 消耗。
Mobile experience suite for the DeepSeek Harness web UI — responsive reading layout, composable glass skinning, workspace-scoped file browsing/upload, and session-state healing. Zero package dependencies.
Network & proxy assistant for DeepSeek Harness (dsh): one-shot GitHub connectivity check, system proxy status, proxy port probing, full diag chain (DNS/TCP/HTTP) and hosts-file conflict scan — built from real-world China-network experience.
The official Strudel REPL experience for DeepDeck with a sandboxed runtime and AI-assisted live coding