205 boosters for "codex" — open source, verified from GitHub, ready to install
"description": "Nemp Memory — Cognitive memory layer for AI agents across every platform. Local-first, zero cloud, works with Claude, Codex, Cursor, and Windsurf.", "name": "Sukin Shetty", "email": "contact@nemp.dev",
Multi-source literature search with adjustable depth. Four tiers, five data sources orchestrated by you (the main agent). Python helpers handle deterministic work; LLM classification is delegated to parallel Inline SubAgents — no external API key required. who wants an HTML report)**, do NOT hand-ru
Resource Scout helps developers quickly find existing Claude Code skills and MCP servers from marketplaces and repositories before building custom solutions. It's essential for anyone looking to avoid reinventing the wheel and discover pre-built integrations.
Your job is to turn an idea, file, folder, URL, exported dataset, or rich deliverable request into a polished live HTML page the user can open, share, Do not present this as a parser, CLI, or internal pipeline. The user only
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/.
"name": "research-council", "description": "Deep research across Claude and Codex in parallel with cross-pollination refinement", "name": "Hamel Husain"
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run gen:skill-docs --> If is , do not proactively suggest ostack skills — only invoke
"description": "A curated skills plugin for practical AI-era craft, judgment, and delivery.", "name": "lynxlangya", "email": "lynxlangya@gmail.com"
"$schema": "https://json.schemastore.org/package.json", "version": "0.0.4-beta", "name": "@arctic-cli/arctic",
当用户希望 Codex 生成 Visio 图、把参考图复刻成可编辑 Visio、准备鼠标操作录屏，或把流程封装成教程资料时，使用本技能。 如果用户要录屏，在用户确认“已经开始录屏”之前，不要开始任何可见界面操作。 2. 设置页面大小，让宽高比匹配参考图。
"description": "Persistent AI coding companion with 21 species and personality stats.", "server": "dist/server/index.js" "description": "Interact with your Buddy companion",
Safely clean up processes accumulated during development (dev servers, browsers, node, etc.). Run the following commands in parallel to assess the current situation: Classify detected processes into the following categories and display in table format:
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
"name": "promptadvisers-claudex", "name": "promptadvisers" "description": "Autonomous Claude + Codex review loop. Plan with adversarial pushback, or audit code (read-only).",
is the correct tool for any repeated mechanical change. Using for the same pattern twice or more is a waste of tokens and is error-prone. If you are about to make the same kind of change 2 or more times — whether in one file or across many — stop and use . This includes: No exceptions. "It's just t
trace-mcp is a framework-aware code intelligence MCP server. It exposes 120+ tools that return semantic, structured results over a cross-language dependency graph. When trace-mcp is available, it is almost always cheaper and more accurate than native file tools. Activate this skill whenever you need
Use this skill whenever you are about to rename, restructure, extract, or otherwise refactor code in a project indexed by trace-mcp. The goal is to never break cross-file references and never guess at what is affected. This returns the risk level of the target change based on churn, complexity, fan-
Before creating a commit or opening a pull request, run the trace-mcp validation suite. Fix any critical or high findings before committing. OWASP Top-10 vulnerability scan across the changed scope. If the change touches untrusted data flows, add: Trace untrusted sources to sensitive sinks (SQL, she
You audit every (and ) in this repo for drift against the marketplace's own conventions. You are the "are these skills still internally consistent?" check that runs before a batch
在运行任何 VideoDB 代码之前，请切换到项目目录并加载环境变量： 当简短的內联命令有效时，不要编写脚本文件。 编写內联 Python () 时，始终使用格式正确的代码——使用分号分隔语句并保持可读性。对于任何超过约3条语句的内容，请改用 heredoc：
Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results. If this succeeds, skip to Step 3. If npm is not available, build from source:
"description": "Independent, unofficial Kaggle.com workflow plugin: competition reports, dataset/model downloads, notebook execution, forums, writeups, submissions, and badge collection. Not affiliated with, endorsed by, or sponsored by Kaggle or Google.", "homepage": "https://github.com/shepsci/kag
<projectdescription> </projectdescription> <architecture_overview>
