16 results
The dsh-plugin-guide knowledge base plus the dsh-plugin-dev CLI toolchain: official docs, Cordis primer, community deep-dives, and battle-tested pitfalls registered as an on-demand agent skill, with a scaffolder, static checker, and pack verifier for building DSH plugins.
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
Global skill hub for dsh: aggregates Claude Code, project, and .skill-package skills into ~/.dsh/skills with reference/copy import and slash-menu usage
DeepSeek Harness plugin (Cordis toolset) for reading, searching, and editing a local Obsidian vault, with optional Local REST API integration.
AI 系统的数据层：把 18 种来源（文档站/GitHub/PDF/视频/Notebook/Wiki…）转成结构化知识资产，导出到 22 种目标（Claude/Gemini/OpenAI/RAG 管道/编码助手）；AI 驱动项目扫描生成配置。受 yusufkaraaslan/Skill_Seekers（14k★ MIT）启发。
科学技能包：100+ 科学数据库查询（PubChem/UniProt/ClinicalTrials/FRED…）、文献综述与证据有界假设生成、实验方案设计、同行评审回复、基金写作、方法验证（ICH/USP/CLSI）、论文级图表。受 K-Dense-AI/scientific-agent-skills（33.9k★ MIT）启发。
DeepSeek Harness plugin: Nocturne Memory client — automated long-term memory (boot/read/search/create/update) backed by your own Nocturne MCP server.
Plugin recommender for DeepSeek Harness: search and rank DSH plugins from an embedded marketplace catalog by need description, category and tags, with match reasons, plus a live catalog refresh from the awesome-dsh-plugin README
RAG 检索增强生成：向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents（38k★ MIT）启发。
源码驱动开发：每个框架决策都要官方文档背书，不凭记忆实现，验证并引用来源。受 addyosmani/agent-skills（88k★ MIT）启发。
SQL 优化模式：EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents（38k★ MIT）启发。
DeepSeek Harness plugin for progressive, source-grounded deep research, writing, and learning: steerable checkpoints and citations verified against retrieved sources
DSH web plugin: Skill Cockpit panel in Settings. See all skills (system/project/pool) with Chinese notes, search, enable/disable/delete/import, local test-fire scoring, and per-skill usage stats to spot zombie skills.
仓库知识图谱：把代码/PDF/Markdown/截图/白板照片提取概念关系建图——god nodes/惊人连接/建议问题、EXTRACTED/INFERRED/AMBIGUOUS 边标签、71.5x token 节省、wiki 导航、--watch 自动同步、git hook。受 safishamsi/graphify（48.7k★）启发。
跨会话持久记忆压缩系统：生命周期 hooks 自动捕获工具观察、生成语义摘要、3 层检索工作流（search→timeline→get_observations，~10x token 节省）、渐进披露、私有标签、混合搜索。受 thedotmack/claude-mem（86k★ Apache-2.0）启发。
SQL 优化模式：EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents（38k★ MIT）启发。