AI & ML

gabrielmoreira Skill

Search past conversations in the agent's history log.

gabrielmoreira Bundle

Use when implementing authentication, authorization, input validation, or secrets management — or when auditing an existing service against OWASP Top 10 risks, configuring security headers, or running a STRIDE threat model.

gabrielmoreira Skill

Llm Wiki

gabrielmoreira Bundle

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

gabrielmoreira Bundle

Use to audit Agent Skills catalogs or installed skill roots for metadata and doc-link issues; optionally apply conservative --fix-safe repairs.

gabrielmoreira Bundle

This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.

gabrielmoreira Bundle

Use when configuring Claude Code — installing skills or agents, writing hook configurations, setting up tool permissions, registering MCP servers, or authoring CLAUDE.md project instructions.

gabrielmoreira Skill

设计驱动自动编码 - 读取圆桌会议设计文档，按任务拆解逐任务自动编码，直接写入项目文件。 触发关键词: 根据设计编码, 开始编码, 按设计实现, coding agent, 实现设计方案, 按圆桌会议编码, 从设计文档编码, 执行编码任务, start coding, implement design

gabrielmoreira Bundle

Explore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.

gabrielmoreira Bundle

Use this skill when you need to discover, evaluate, and select the right Agent Skills for a task before implementation.

gabrielmoreira Bundle

**WORKFLOW SKILL** — Create complete, well-structured Copilot skills from scratch. USE FOR: scaffolding new SKILL.md files, writing effective agent instructions, configuring frontmatter fields, setting up directory structure (references, FEEDBACK.md), optimizing description for discoverability, applying progressive disclosure. DO NOT USE FOR: managing/syncing existing skills (use skill-manager-guide), general coding, VS Code extension development.

gabrielmoreira Bundle

Transform any rough prompt, task description, or job into an optimized AI instruction prompt. Use when users ask to "improve this prompt", "make this better for an AI", "optimize this for Claude/GPT", or provide raw instructions that need refinement into a well-structured prompt following best practices.

gabrielmoreira Bundle

Turn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.

gabrielmoreira Skill

Coordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.

gabrielmoreira Skill

当用户需要任何邮箱/邮件操作时使用此技能——包括查看、阅读、搜索、发送、回复、转发、整理或删除邮件，管理会话线程，绑定个人邮箱或注册新邮箱。此技能是邮件任务的统一且唯一入口，通过 qwenpawmail-mcp 编排操作，当前支持 9 个个人邮箱域名。

gabrielmoreira Skill

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

gabrielmoreira Skill

从论文、大纲或结构化文本生成 PowerPoint (.pptx) 演示文稿。Use when 用户需要把一篇论文/文章/大纲做成幻灯片、slides、演示文稿、PPT、deck。Don't use when 只需纯文本总结、生成 Word/PDF、或修改已有 pptx 的单个像素级样式。

gabrielmoreira Bundle

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

gabrielmoreira Skill

Guide for creating and updating VS Code .agent.md files. Use when a user wants to create a new agent, update an existing agent, or needs help designing an agent's structure, workflow, and domain knowledge sections. Triggers on: create agent, new agent, agent.md, update agent, overhaul agent, agent design.

gabrielmoreira Bundle

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

gabrielmoreira Skill

Expert guide for crafting high-quality, production-grade prompts and system prompts for LLMs. Use when a user wants to create, improve, debug, or evaluate a prompt — whether for Claude, GPT, or any other LLM. Triggers on create prompt, write prompt, improve prompt, system prompt, prompt engineering, prompt template, metaprompt, prompt review, prompt optimization, why is my prompt not working, prompt debugging, few-shot examples, chain of thought, prompt architecture, agent instructions.

gabrielmoreira Skill

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

gabrielmoreira Bundle

协同编排知识域。多Agent协同、任务分解、并行执行、冲突解决。当魔尊需要多Agent协作、任务编排、并行处理时使用。

gabrielmoreira Bundle

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

gabrielmoreira Bundle

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

gabrielmoreira Skill

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

gabrielmoreira Bundle

Act as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.

naodeng Bundle

Use this skill when you need to test LLM behavior, failure modes, and evidence-based quality boundaries; triggers include LLM 测试 and llm testing.

gabrielmoreira Bundle

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

gabrielmoreira Skill

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

gabrielmoreira Skill

Compile heterogeneous knowledge sources—including documents, notes, web content, transcripts, research materials, and code repositories—into a Karpathy-style, evidence-grounded LLM Wiki with a maintained index; default entity and concept pages; and selective method, comparison, analysis, or instruction-requested summary pages. Use with ov compile to create or incrementally refresh knowledge that is easy for people and agents to retrieve, navigate, and reuse.

gabrielmoreira Bundle

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

gabrielmoreira Skill

Install the agent skills into $DEVO_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

naodeng Bundle

Use this skill when you need to test prompt behavior, regression risk, and output boundaries across versions; triggers include Prompt 测试, prompt testing, and prompt-regression.

builderio Bundle

Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary. Monitor until the other agent is done or blocked, reconstruct what the user asked, independently investigate the same problem to form your own hypotheses and approach, inspect what the agent actually changed and verified, compare the two investigations, report gaps and add-on directions, and optionally make scoped fixes when the user authorizes repair.

inference-sh Skill

Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation