Use when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card. Not for ordinary work in an already-specced project.
Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.
读取 https://funcoding.ai/skills/jetbrains/thinkrail/setting-up-a-project/install.md ，按里面的步骤帮我安装这个 Skill。
The single entry point for turning a project into a spec graph. Figure out which situation you're in, then follow the matching skill — don't improvise the flow yourself.
Look at the workspace and use the spec tools (spec_grep / spec_graph):
goal-and-requirements.md or any SPEC.md)?| Situation | Follow |
|---|---|
| Already has specs | Don't redo it. Briefly offer to review/extend the graph (fill obvious gaps — a missing architecture.md, un-specced modules). For other work, use brainstorming only when product scope, user-visible behavior, or architecture remains to decide; otherwise proceed directly. Declined → stop. Accepted → Graph extension below. |
| No specs · empty / near-empty repo | The starting-a-new-project skill — interview the user to turn the idea into goal-and-requirements.md. |
| No specs · real source code | The importing-a-codebase skill — analyze the code + agent files and draft the first spec graph, asking only for intent the code can't reveal. |
Read and follow that skill's steps.
No dedicated skill covers extending an existing graph. If the offer is accepted, align and adapt to the user's request with your own judgment, holding the writing-specs bar without a routing announcement.
Ends by naming exactly one of: starting-a-new-project, importing-a-codebase, or — when specs already exist — the review/extend offer above (declined → stop; accepted → graph extension on judgment against the writing-specs bar).
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
AI & agents
anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI & agents
anthropics/skills180kanthropics/skills180kGuide 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).
AI & agents
anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI & agents
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI & agents