478 boosters for "du" — open source, verified from GitHub, ready to install
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
检测和改写中文 AI 生成文本的完整工具链。可独立运行（统一 CLI 或独立脚本），也可作为 LLM prompt 指南使用。 所有脚本在 目录下，纯 Python，无依赖。 v3.0 所有阈值都基于 HC3-Chinese 300+300 人类/AI 样本的 Cohen's d 校准：
"name": "human-compiler", "description": "Compile humans into AI agents through deep interviews. Conducts comprehensive behavioral interviews, analyzes work artifacts via MCP tools, and generates installable Claude Code plugins that embody a person's decision-making, communication style, and experti
Treat every competition as a validation problem first and a modeling problem second. The default target platform is Kaggle, so prefer Kaggle-native notebooks/scripts, datasets, model artifacts, competition submissions, and score receipts. For code competitions, assume the final notebook/kernel will
is a local CLI tool for tracking tasks and records. Data is stored in SQLite at . 1. Search first: — check for duplicates before creating 2. Create if new:
Execute the release automation script with auto-confirmation for Claude Code. PROJECTROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD") cd "$PROJECTROOT" && bash .claude/scripts/release.sh $ARGUMENTS --yes
Grow any product or service through authentic Reddit engagement. No bots. No spam. No API scraping. Before mentioning your product or dropping any links, complete the warm-up phase: Continue warming if account karma/trust is still low after 7 days.
A system integration booster that merges and validates outputs from multiple AI modes into production-ready systems with consistency checks and modular architecture. Useful for developers building complex, multi-component applications.
"name": "tensorlake", "description": "Tensorlake SDK for agent sandboxes and sandbox-native orchestration. Use when building AI agents that need sandboxed execution environments, isolated tool calls, or durable workflow orchestration.", "author": "TensorLake",
A 540×960 e-ink panel sitting next to the user's monitor. AI agents push widgets to it; the daemon renders frames server-side and ships pixels over Wi-Fi / USB / BLE. This Skill is the only thing an agent needs to call
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
Chief Product Officer - assign executive product strategy, organization design, and portfolio decisions
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Provides expert guidance on tRPC setup, type-safe API development, and React Query integration. Ideal for TypeScript developers building full-stack applications who want to eliminate manual type definitions and schema synchronization.
Heuristic scoring (no AI key configured).
Native SQL extensions for GoldenMatch ().
"name": "buildatscale-claude-code", "name": "BuildAtScale", "email": "hello@buildatscale.tv"
Auth0 MCP Server enables AI assistants to manage Auth0 tenants through natural language, with built-in security controls and least-privilege access patterns. It's ideal for developers and platform engineers seeking to automate Auth0 administration tasks safely within Claude Desktop and Claude Code.
"name": "@ticktockbent/charlotte", "description": "Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps", "main": "dist/index.js",
一个好的行业 master skill 不是行业百科，是可运行的行业认知操作系统： prompts 里两个不同的目录占位符: 工具脚本 (sourceverifier.py / colddetector.py / quality_check.py / collectors / ingest / transcribe) 不复制到生成的行业 skill 目录, agent 直接调 . 行业 skill 只装载 prompts + research notes + SKILL.md + sub-skills + cli/.
Automatically finds and replies to relevant Reddit and X/Twitter posts about ecommerce, Amazon FBA, and AI customer service. Also builds Reddit account karma and tracks potential customer leads. Edit to set your subreddits, X search queries, product descriptions, and daily targets.
A specialized Kubernetes expert agent that provides comprehensive cluster management, workload orchestration, and production operations guidance aligned with Kubernetes 1.31+ and 2025 CNCF standards. Ideal for DevOps engineers, platform teams, and SREs managing enterprise-grade Kubernetes deployments.
