管线管理内核（pipeline-kernel）：单向任务链的任务板/台账/注册表/巡检/播种/打包/自愈。v0.9.0：rc.8 削薄工程（依赖对齐 rc.8、DshAgentRuntime 窄收口、webServer inject、domain/changed 统一失效、契约测试、CI 全量门禁；业务语义与入口冻结）。

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

Independent, unofficial CLI to edit CapCut and JianYing projects — subtitles, timing, speed, volume, templates, cut long-form to shorts. No API needed, reads draft_content.json directly. Not affiliated with ByteDance.

Deep reading & summarization workflow for books/papers/videos/web — plugin parsers, MapReduce deep-read, JSON Schema output, Obsidian-ready (DSH)

NotebookLM does the research, Claude writes the content. Research → Synthesis → Content Creation → Publishing. Claude Code Skill + MCP Server.

Loki Mode by Autonomi. Autonomous spec-to-product system: takes a PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief to a deployed app via the RARV-C closure loop with 8 quality gates. Provider-agnostic (Claude Code, OpenAI Codex, Cline, Aider).

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.

MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).

A self-evolving Claude Code plugin. Context routing, memory bootup, smart delegation, self-correction — out of the box.

SRE thinking applied to Claude Code, based on Boris Cherny's Q&A. It enforces a strict 4-stage pipeline with gates between each step. You literally cannot skip verification. You cannot ship without approval.

Multi-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — TWO agent presets in one install: vibe-math-v1 (classic pipeline: brainstorm → solver iteration → multi-verifier debate → Verified) and vibe-math-v2 (new probability

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

Run your Calaf recruiting book from chat: firms, people, pipeline, calendar, notes, and prep.

🐳 The Everything-Plugin Quant OS — AI-native & DSH-native: 46 tools, 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET pipeline. Methods open, secrets internal.

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.