— · MIT
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files c
v0.6.8 · MIT
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
v1.0.0 · MIT
Type-correct, brand-aware HTML deck builder for Claude Code. Pitch, sales, launch, keynote, all-hands. PDF and PPTX import.
— · no license
Governance standard and reference toolset for LLM-maintained knowledge corpora
— · no license
Governance standard and reference toolset for LLM-maintained knowledge corpora
v0.14.0 · MIT
Token-saving proxy for Claude Code: renders bulky context (system prompt, tool docs, old history) as dense PNGs to cut input tokens. Runs on Node and Cloudflare Workers.
— · Apache-2.0
电子发票整理与报销准备工具:从邮箱批量收集 PDF/OFD/XML 发票,OCR 识别、分类归档并生成 Excel 汇总;提供 Windows/macOS 桌面版与 DSH 插件。
v0.3.6 · Apache-2.0
Give DeepSeek Harness a real office environment. Univer Office Plugin brings spreadsheets, docs, slides, canvases, relational tables, and more into one runtime — with connected data, validation, versioned changes, and isolated worktrees for multi-agent collaboration.
v0.20.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
— · MIT
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
— · no license
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc
— · MIT
When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "reso
— · MIT
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution,
v0.3.19 · Apache-2.0
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 buil
v0.5.2 · MIT
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models
— · MIT
Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning.
v0.2.1 · MIT
Incident-derived guardrail hooks and a plan→implement→verify→crosscheck delivery loop for Claude Code. Hook cost measured; 35 bats tests.
v4.0.0 · Apache-2.0
A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
v1.0.1 · MIT
Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.
v0.4.2 · MIT
DeepSeek Flow — Markdown-first visual workflow plugin for DeepSeek Harness with executable Boolean gate semantics, two-way canvas sync, and AI review/optimization.
v2.0.0 · Apache-2.0
AI 编译纯文本小说工作台 for the dsh web GUI: import a novel outline (docx/text), plan volumes & chapters with LLM, generate chapter by chapter (3000-4000 chars each), auto AI review & book audit, and export the full book as Markdown/TXT into your chosen output fold
— · MIT
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
v0.4.1 · no license
向模型暴露 MinerU 文档解析工具,将 PDF/图片/DOCX/PPTX/XLSX 转为结构化 Markdown/JSON | Exposes MinerU document-parsing tools to the model, converting PDF/images/DOCX/PPTX/XLSX into structured Markdown/JSON
— · Apache-2.0
A MCP server that supports mainstream eBook formats including EPUB, PDF and more. Simplify your eBook user experience with LLM.