— · MIT
AI made building cheap. It didn't make deciding cheap. Mycelium is a Claude Code harness that makes your agent run discovery and weigh evidence before it writes code. It earns the right to start. Built for software, courses, AI tools, and services.
— · MIT
本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.(support deepseek harness plugin)
— · MIT
You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, helping AI agents build with up-to-date web context.
v1.4.2 · MIT
Multi-registry skill discovery and installation for AI coding agents — search 9 sources, score, paginate, and install agent skills with security labels
— · no license
PM skill for Claude Code, Codex, Cursor, and Windsurf: diagnose SaaS metrics, critique PRDs, plan roadmaps, run discovery, and coach PM career transitions.
v1.0.1 · no license
Read AFMR failure modes and discover scoped attestation and lift-evidence contracts.
v1.0.2 · no license
AI influencer search on TikTok, Instagram, YouTube. Deinai MCP token required; credits per result.
v0.2.1 · no license
SKILL-02 (not SKILL-01): AI influencer search on TikTok, Instagram & YouTube. sk_live_ token.
v0.4.0 · MIT
Find DSH plugins inside the agent — live GitHub dsh-plugin topic search, star-ranked / 会话内搜索发现 DSH 插件
v0.3.1 · Apache-2.0
ClearAI is a native DSH plugin that brings the Epistemic Loop to DeepSeek Harness.
v0.8.0 · MIT
The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
v0.1.0 · Apache-2.0
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
v1.2.0 · MIT
AI-powered resume & cover letter generator with dual ATS + HR scoring. Works for any profession. Claude Code plugin.
v0.3.0 · MIT
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
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.
— · MIT
A comprehensive collection of Model Context Protocol (MCP) servers
— · BSD-3-Clause
帮 DSH 搜索、安装并验证插件的 Skill|A DSH skill that finds, installs, and verifies GitHub plugins
v1.0.0 · no license
AI-orchestration dotfiles for developers who want leverage. Parallelize agents, enforce principles, and self-heal your stack for 100x throughput. Built to version the AI era.
v18.11.0 · MIT
AAS Core: complete local skill discovery, agent-owned selection, stack validation, and planning, backed by 2,610+ agentic skills.
v0.2.63 · MIT
DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.
— · MIT
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Prod
— · MIT
Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.
v0.0.0 · Apache-2.0
Toward Autonomous Scientific Discovery
— · MIT
Find Reddit threads where people are genuinely asking for what you offer, then draft short, genuinely helpful replies — disclosing your affiliation honestly and naming your product only when it truly answers the question. Two moves: discovery — scan the right subreddits for real needs (recommendatio