AI & ML

mhylle Skill

Orchestrates comprehensive codebase research by decomposing user queries into parallel sub-agent tasks and synthesizing findings. This skill should be used when users ask questions about how code works, where functionality exists, how components interact, or need comprehensive documentation of existing implementations. It focuses exclusively on documenting and explaining the codebase as it exists today.

momozi1996 Bundle

李继刚（Prompt布道师/Prompt之神）的AI提示词创作思维——Lisp压缩美学+哲学底色+结构化写作+极简主义。 触发词：「李继刚视角」「像李继刚那样写」「Prompt之神」「汉语新解」「压缩美学」「ljg-skills」「Lisp提示词」。 擅长：Lisp伪代码风格提示词编写（公文笔杆子/汉语新解/七把武器系列）、哲学级Prompt思考框架（从工具论到道）、结构化写作方法论、认知工作流设计（13+1 Skills）、技术大会演讲、深度播客对话。

momozi1996 Bundle

硅星人/硅星人Pro（品玩/PingWest旗下AI科技媒体）的AI科技内容创作思维——硅谷一线视角+中美双线叙事+快讯串联结构+AI社区产品化运营。 触发词：「硅星人视角」「像硅星人那样写」「硅星人Pro」「AI科技快讯」「Agent生态」「硅谷一线报道」「中美AI对比」。 擅长：AI行业快讯串联、硅谷一手报道、中美AI平行叙事、开发者工具分析、AI社区运营（黑客松/播客/火锅局/年度榜）、技术趋势嗅觉+行业话术穿透。

cognyai Skill

Google Ads Scripts Reference — JavaScript automation, AdsApp object model, selectors, GAQL queries, 10+ working script patterns, MCC parallel processing, Sheets integration

cognyai Skill

Submit an AI agent to the agentlaunch directory and upvote agents via a public no-auth REST API

mhylle Bundle

Tasktracker-native per-phase executor. Runs a SINGLE phase whose scope and sub-tasks live as tasktracker phase + sub-task rows (NOT in a docs/plans/*.md file). Honours active-task discipline (setActiveTask on phase AND on each sub-task as worked), respects the locked phase body (HTTP 422 on description edit — design notes go to sub-tasks), updates sub-task status via tasktracker_updateTaskStatus as work progresses, logs defects/learnings/frictions through tasktracker insights, and delegates code work to subagents when a subagent-dispatch tool is available — otherwise does the work in-context itself (graceful degradation), never stalling. Used by /tt-implement-plan as the per-phase unit of work; can also be invoked directly with a phase task id. Triggers when /tt-implement-plan delegates a phase, or manually with "/tt-implement-phase <phase-task-id>", "tt implement phase", "execute phase (tasktracker)", "/tt-implement-phase". Prefer this over the plain /implement-phase skill whenever a tasktracker MCP is avail

texarkanine-cursor-rules Bundle

How to author a prompt, rule, or skill that an agent will actually follow. Use when writing or editing prompts, rules, skills, or other instructions meant for an AI agent.

yeachan-heo-oh-my-codex Skill

Run read-only deep repository analysis and return a ranked synthesis with explicit confidence, concrete file references, and clear evidence-vs-inference boundaries. Use when a user says 'analyze', 'investigate', 'why does', 'what's causing', or needs grounded cross-file explanation before any changes are proposed.

momozi1996 Bundle

特工宇宙/仲泰（Agent Universe，国内首个聚焦AI智能体AI Agent的垂直科技自媒体）的内容创作思维——Agent垂直深耕+实操导向+产品体验验证+社区分发闭环+AI Agent翻译器。 触发词：「特工宇宙视角」「像特工宇宙那样写」「仲泰」「AI Agent圣经」「观猹」「AI智能体教程」「智能体评测」。 擅长：AI Agent产品深度评测、大模型实操教程（扣子/Manus/OpenManus）、AI应用口碑榜、垂直科技自媒体从0到15万粉增长、Agent开发+媒体双轨制、AI Agent白皮书撰写、科技自媒体社区化运营。

momozi1996 Bundle

赛博禅心（大聪明，技术深度型AI博主）的AI科技自媒体创作思维——技术散文·反热潮·深度拆解·冷静旁观。 触发词：「赛博禅心视角」「像赛博禅心那样写」「AI技术深度解读」「AI论文解读」「AI行业大事记」「踏马的Agent」。 擅长：AI模型技术报告拆解、AI行业宏观分析、AI热点事件犀利点评、技术报告人话翻译、AI行业月刊/大事记、Agent/OpenClaw生态深度观察。

artsmc-claude-dev-agents Skill

Use the public `orca` CLI to operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the Orca app. Use when the user says "$orca-cli", "use orca cli", "Orca worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "terminal send", "full handoff", "handover", "give this to another agent", "another worktree", "Orca browser", or "control the browser inside Orca". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches Orca-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside Orca's embedded browser.

artsmc-claude-dev-agents Bundle

Ultimate Mastra Framework development toolkit for agent orchestration, workflow design, and MCP integration. Owns scaffolding and boilerplate generation (create-agent, create-tool, create-workflow with registry wiring), server start/stop/status, Studio lifecycle and reachability, and analyze commands auditing registered agents and tools.

artsmc-claude-dev-agents Bundle

Deliberate, confirmed writes to Jira via the jira-sandbox MCP server — create issues, comment, update fields, transition status, epics, sprints, story points. Use whenever the user explicitly asks to change Jira ("create a ticket", "comment on PROJ-123", "move it to Done"). Every write gets a preview + explicit confirmation first. For lookups, status questions, or reports use jira-reader — never use this just to read.

artsmc-claude-dev-agents Bundle

Mastra Evaluation and Testing guide - built-in scorers, custom scorers, datasets, experiments, and CI integration. Covers createScorer(), built-in scorer factories like createAnswerRelevancyScorer(), runEvals(), dataset management, and experiments that compare models, prompts, or agent variants against the same dataset.

artsmc-claude-dev-agents Bundle

Create diagrams on Miro boards using the Miro MCP tools — flowcharts, UML class/sequence diagrams, and ERDs. Use whenever the user wants to diagram or visualize anything on a Miro board: architecture, system flows, database schemas, process maps, interaction sequences — or just says "diagram this" with the Miro MCP connected. For multi-element layouts (diagrams + text + tables + metrics), use miro-infographic instead.

akornmeier Skill

Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)

artsmc-claude-dev-agents Skill

Use Orca orchestration for structured multi-agent coordination: threaded messages, blocking ask/reply flows, task dispatch, worker_done/escalation waits, task DAGs, decision gates, coordinator loops, or decomposing work across agents. Use `orca-cli` instead for full ownership handoffs, including requests phrased as "hand off", "handoff", "handover", "give this to another agent", or "another worktree" when the user did not explicitly ask to supervise, monitor, wait for results, or coordinate a DAG. Use `orca-cli` for ordinary terminal control, lightweight terminal prompts, shell commands, Orca worktree management, reading or waiting on terminals, and automation of the browser embedded inside Orca. Use Computer Use for browser windows, webviews, Orca app UI, or desktop UI outside Orca's embedded browser.

artsmc-claude-dev-agents Bundle

Strategic planning and team orchestration for Mastra development - analyzes tasks, designs team compositions, creates execution plans, and coordinates agent splits. Use for complexity assessment, choosing which specialists a Mastra effort needs, task breakdowns into parallel execution groups/waves with dependencies, and assigning agent roles.

artsmc-claude-dev-agents Bundle

Mastra MCP integration guide - MCPClient for consuming tools, MCPServer for exposing agents/workflows, tool creation, and publishing. Covers createTool() with Zod input/output schemas and execute context, MCPClient getTools()/listToolsets(), MCPServer transports (startStdio/startSSE/startHTTP), and reusing external MCP servers instead of rebuilding tools.

artsmc-claude-dev-agents Bundle

Mastra Workspace development - filesystem providers, sandbox execution, skills system, search/indexing, and tool configuration. Covers LocalFilesystem/S3 mounts, LocalSandbox and E2BSandbox code execution, BM25/vector/hybrid search via workspace.search()/index(), and restricting agent file tools with WORKSPACE_TOOLS (read/search/write/exec permissions).

throokie Skill

动态 Agent 生成器（母体模式）。当用户需要处理复杂项目时，自动分析需求并生成定制化专业 Agent 团队。接收项目描述、技术栈、版本号、约束条件，输出完整的 Agent 配置和启动命令。触发词：需要专业团队、生成 Agent、创建定制化 Agent、复杂项目团队、动态生成 Agent。

throokie Bundle

深度代码研究工具 v2 - 使用agent-factory动态生成专业团队，结合model-compare-search多模型聚合分析代码库。流程：父代理收集上下文 → agent-factory生成分析子代理 → 多模型分析 → Kimi总结 → 实施子代理执行修复。

throokie Bundle

多模型对比搜索 - 自动从NewAPI获取可用模型，并行调用多模型获取综合答案。触发词：多模型搜索、模型对比、问问多个AI、综合一下、帮我搜索。

throokie Skill

GitNexus 智能助手 - 代码库知识图谱查询工具。触发词：gitnexus、代码分析、影响分析、依赖查询、代码图谱、分析变更、查询符号、查找调用。自动识别查询意图并执行对应的 GitNexus MCP 工具。

throokie Bundle

企业级软件发布测试Agent - 当用户需要进行商业化级别的软件测试、发布前的质量门禁、E2E自动化测试、性能/安全/兼容性测试时使用。支持Web应用、API服务、CLI工具、桌面应用等多种类型。集成Puppeteer进行浏览器自动化，支持多模型聚合搜索获取测试方案，可调用th-code-expert进行代码级深度分析。触发词：发布测试、企业级测试、商业化测试、质量门禁、E2E测试、自动化测试、发布前检查、销售级测试、严苛测试。

moosegoose0701 Bundle

Analyze and answer questions about agent execution traces. Use this skill when the user asks about a trace, wants to debug a failed agent run, understand what an agent did, analyze token usage or efficiency, or asks "what happened in trace X". Triggers: trace analysis, trace debugging, trace QA, execution review, agent run review.

moosegoose0701 Bundle

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).

moosegoose0701 Skill

Plan which skills are needed to fulfill user requirements. Use when the user wants to design an agent workflow, plan skill composition, or determine what skills are needed for a task. Input includes user requirements and existing skills list. Output includes recommended existing skills, new skills to create, and a system prompt for the composed agent.

adonis0123 Bundle

Gate whether a coding-agent task benefits from a durable, verifiable contract, then draft, validate, start, continue, or close it for Codex, Grok, Claude Code, Cursor CLI, or an unknown host. Use for explicit goal or /goal requests and autonomous multi-checkpoint coding work with one checkable end state. Native Goal creation or mutation requires an explicit user or system request. Do not use for quick one-shot work, unrelated backlogs, OKRs, reminders, or token-budget-only changes.

artsmc-claude-dev-agents Bundle

Mode 1 - Strategic planning with human approval before execution. Use this skill whenever a user wants to plan, review, or strategize a task list before executing it. Triggers on: "plan this", "review these tasks", "let's plan before building", "/start-phase plan", or any request to analyze a task list for parallelism, complexity, or agent delegation. Always use this before /start-phase-execute for non-trivial work.

artsmc-claude-dev-agents Bundle

Structured task execution with quality gates, parallel waves, and pm-db tracking — solo or with multi-agent teams (--team). Use this skill when the user wants to execute a task list, run implementation tasks, start building a feature from a plan, run tasks in parallel with a team of agents, or says things like 'execute these tasks', 'start building', 'run the implementation', 'execute the plan', 'execute with a team', or 'start phase execute'. Also triggers on '/start-phase execute' and '/start-phase-execute-team' commands.

artsmc-claude-dev-agents Bundle

Automated security vulnerability scanning for Python and JavaScript/TypeScript codebases. Detects OWASP Top 10 vulnerabilities, hardcoded secrets, injection risks, and known CVEs with actionable remediation guidance. This is the whole-codebase automated scan; reviewing a specific PR, branch diff, or auth change for security issues is /security-review or the security-auditor agent instead.

phananhtuan09 Skill

Use when the user asks to initialize, analyze codebase, or generate the repository's primary agent context file. This skill should be used at the start of a new project or when the main agent context file is missing.

adonis0123 Bundle

This skill should be used when the user invokes /uxc-facade or asks to package, harden, or reuse an MCP, OpenAPI, GraphQL, gRPC, or JSON-RPC interface through UXC; create or maintain a stable uxc link; reuse a daemon-backed stdio child; pin UXC for automation; or design a deterministic JSON CLI facade for another skill. Apply the facade contract without replacing service-specific identity checks. Do not use for ordinary one-off API calls, and hand Chrome DevTools-specific work to chrome-dev-mcp.

adonis0123 Bundle

This skill should be used when the user invokes /chrome-dev-mcp or asks for Chrome DevTools MCP, CDP, list_pages/select_page, UXC packaging for Chrome DevTools, DOM snapshots, Console, Network, Performance, Lighthouse, browser-internal debugging, connection recovery, or correct-Chrome validation across Claude Code, Codex, Grok/Grok002, Hermes, or WorkBuddy. Establish or recover the shared managed connection and prove it with a real list_pages call. Do not use it for ordinary navigation, form filling, scraping, or desktop UI unless browser-internal signals are required. It is not a page-acceptance entry point: a passing readiness or list_pages check proves the connection only, and product-page verification stays with the calling task.

adonis0123 Bundle

This skill should be used when the user asks to install, configure, upgrade, repair, or diagnose Kimi Computer Use (kimi-cu), especially for Cursor CLI, Grok, WorkBuddy, Claude Code, Codex, or Hermes MCP clients.