LLM Mart Basic

飘窗窗户装修指南专用 Skill。覆盖飘窗窗帘、窗套与窗台、落地窗与封窗、安全与护栏、飘窗利用与改造等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的飘窗窗户装修。

卫生间装修避坑指南专用 Skill。覆盖卫生间干湿分离、浴柜外置、三分离、防水、地漏、美缝、瓷砖、暗卫借光、花洒龙头、浴室柜、马桶坑距、淋浴房、浴霸排气、台盆选择等全流程，倒序整合西安装修课堂知识库精华，帮用户一次装对、入住不返工。

卧室装修避坑指南专用 Skill。覆盖卧室布局、床与床垫、衣柜、窗帘、隔音、灯光、飘窗、榻榻米、衣帽间、儿童房、适童化、梳妆台、床头细节等全流程，倒序整合西安装修课堂知识库精华，帮用户装出好睡的卧室。

小户型装修避坑指南专用 Skill。覆盖显大技巧、收纳与空间利用、布局与隔断改造、迷你公寓与开间、小户型综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的小户型装修避坑。

玄关与书房装修指南专用 Skill。覆盖玄关鞋柜、换鞋区、入户收纳、玄关背景与形式、隔断屏风、书房书桌书柜、学习办公区、儿童学习区、灯光采光、隔音等全流程，倒序整合西安装修课堂知识库精华，帮用户把进门第一眼和居家办公、学习空间一次装对。由西安装修课堂出品

阳台避坑指南专用 Skill。覆盖洗衣晾晒区、阳台打通与封窗、阳台收纳与柜、休闲与功能改造、防水保温与施工、无阳台与补救、阳台改造综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的阳台避坑。

装修采光技巧专用 Skill。覆盖通风与暗间、朝向与户型、玻璃与室内窗、配色与反光、采光改善技巧等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的装修采光技巧。

装修风格选择与搭配指南专用 Skill。覆盖风格怎么选、主流风格（北欧/现代简约/新中式/日式/法式/美式/奶油/原木/侘寂/轻奢/中古/欧式等）怎么装不踩坑、风格配色与软装搭配、风格与预算省钱做法，倒序整合西安装修课堂20年精华知识库，帮用户选对风格、装出想要的效果。

装修建材选购专用 Skill。覆盖瓷砖、木地板、涂料乳胶漆、板材、门窗玻璃、五金管件、防水材料、美缝填缝、石材岩板、踢脚线等主材辅材的选购避坑，整合西安装修课堂装修知识库精华，帮用户把钱花在刀刃上，材料不踩坑。

装修设计技巧大全专用 Skill。覆盖布局与动线、收纳设计、风格与配色、空间设计技巧、免费设计与避坑、设计综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的装修设计技巧。

装修省钱指南专用 Skill。覆盖不值得花钱、值得花钱、砍价与报价、省钱技巧、预算规划与分配等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的装修省钱。

装修施工手册专用 Skill。覆盖拆改交底、水电施工、瓦工贴砖、木工吊顶、油漆墙面、防水闭水、隐蔽工程、工序工期、验收监工等全流程施工避坑，整合西安装修课堂装修知识库精华，帮用户看懂工地、盯住关键节点，施工不返工。

装修五金选购指南专用 Skill。覆盖地漏与下水、龙头花洒与水槽、铰链滑轨与家具五金、门锁与挂件、选购原则与避坑、五金综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的装修五金选购。

装修验收指南专用 Skill。覆盖水电隐蔽工程、瓦工木工验收、竣工验收与收房、验收工具与清单等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的装修验收。

【全屋定制业主必看】你正在做全屋定制吗？不知道板材怎么选、怕被套餐套路、担心增项加钱、不知道怎么验收？这个Skill内置装修课堂知识库，直接回答你的问题——问板材、问计价、问套餐、问商家选择、问安装验收，全部覆盖。适合正在做全屋定制功课、准备签约或已经下定的业主。

【收纳储物必看】装修前不会规划收纳，入住半年家变仓库？这个 Skill 内置装修课堂会员版「📦家居收纳储物方法」152篇原创知识库，专门讲收纳储物——收纳是家的骨架、柜子不是越多越好、收纳本质是把东西藏起来、收纳加勤快缺一不可。问玄关鞋柜怎么装、问厨房9个收纳位置、问衣柜衣帽间怎么做、问小户型怎么榨干每1平米、问收纳避坑和鸡肋神器，全部覆盖。适合正在装修、准备收纳规划、家里东西多总是乱、想做满墙柜/通顶柜/800库的业主。

【老房改造业主必看】你家的房子是老房、旧房、二手房吗？担心拆除被坑、水电要不要全换、承重墙不敢动、费用比新房贵太多？这个Skill内置装修课堂知识库，直接回答你的问题——问拆除、问水电、问费用、问结构安全、问厨卫翻新、问精装房怎么改，全部覆盖。适合正在考虑老房翻新、二手房装修、精装房改造的业主。

【选装修公司必看】你正在找装修公司吗？不知道怎么选、怕被坑、担心中途加钱、想提前排查风险？这个Skill内置专业装修知识体系（5篇核心参考文献），直接教你筛选方法——问怎么选公司、问哪些公司不能选、问报价单怎么看、问合同怎么签、问中途加钱怎么办，全部覆盖。适合正在选装修公司、拿到报价单不知怎么看、担心被坑的业主。

本Skill内置从学到装｜装修课堂知识库，专门帮业主审核装修合同、识别预算陷阱、防范定金套路、避免增项偷项、看懂报价单、判断售后保障。适合准备签装修合同、拿到报价单不知怎么看、被要求交定金、遇到中途加钱的等场景使用。触发场景包括"装修合同怎么签""报价单怎么看""定金能退吗""套餐能签吗""装修增项怎么办""怎么选装修公司"等涉及装修合同审核的所有问题。

【装修最怕加钱必看】你担心装修中途不断加钱吗？报价单看不懂、增项防不住、水电开工后翻倍、拆除冒出各种刺客？这个Skill专治各种加钱套路——问增项、问加钱、问报价单、问隐形消费、问偷项漏项、问预算超了，全部覆盖。适合拿到报价单、准备签合同、担心中途被加价的业主。

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Turn a GAIA workflow misfire into a redacted, classified, filing-ready bug report in one read-only pass. Self-diagnoses config issues inline; files probable bugs upstream on confirmation.

Judge-the-form, human-gated hardening. Reviews recurring code-audit-frontend findings and, with approval, drafts the lowest-context-weight form (deterministic check / skill / path-scoped prose rule) into the working tree. Pass `list` to see live candidates or `why <finding_class>` to explain one.

Initialize a new project from the GAIA React template, renames, strips GAIA branding, configures i18n, installs Claude skills/plugins.

Plan a complex feature using GAIA's task-orchestration pattern, structures the work into fresh-context subagent phases for your approval. Does not implement.

Cut a new GAIA release, bump version, graduate CHANGELOG, regenerate manifest, open release PR, then tag on merge. Maintainer-only.

Detect and, on explicit consent, additively append the languages Serena is not indexing to the `languages:` list in `.serena/project.yml`, then prompt a Serena restart. Never mutates without a yes; inert without Serena.

Author an immutable SPEC artifact through Socratic discovery (spec-kit wrapper), then STOP. Terminal, never runs /gaia-plan; it prints a /gaia-plan prompt the human pastes into a fresh session. Pass `auto <description>` for non-interactive mode that answers its own questions.

Maintainer-only autonomous health audit + auto-heal loop. Runs N=3 fresh-team audit-fix-audit cycles with circuit breakers, reports an F-to-A+ verdict (folding in the shared Claude-integration fitness grade) or escalates.

Single post-init onboarding command; detects situation, runs only owed phases; safe to re-run. --reconfigure rotates token and re-selects tools.

GAIA before_specify hook: constitution placeholder check + spec-kit version-pin drift detection.

GAIA after_specify hook: immutability lint over the just-written SPEC artifact.

Close a plan after implementation+merge. Offers wiki-promote for the plan's consolidated SUMMARY.md, cold-consolidates an out-of-band merge, then early-reaps the local plan folder once cost is represented in cost.jsonl.

GAIA self-review: pre-gate-2 review pass on the in-progress SPEC draft.

Close a SPEC after implementation+merge. Optional drain of deferred wiki-promote, cold-consolidates an out-of-band merge into SUMMARY.md, then early-reaps the local SPEC folder once cost is represented in cost.jsonl.

GAIA Socratic discovery wrapper: /speckit-specify for the initial draft, then GAIA's own Socratic clarify loop.

GAIA before_implement hook: render PO-authored UATs into Playwright e2e specs at .playwright/e2e/spec-NNN/.

Promote merged SPEC or plan content into the GAIA wiki.

This project uses the GAIA preset. Bare `/speckit-clarify` is not the clarify path here: core clarify writes an off-shape artifact (a `## Clarifications` / `### Session` block with five-word answers) and carries a question cap GAIA does not use. Run `/gaia-spec` instead — it driv

GAIA-wrapped /speckit-specify: writes through core, then relocates the artifact to .gaia/local/specs/SPEC-NNN/SPEC.md and stamps GAIA frontmatter.

Show or configure the compact Fallow Impact statusline in Claude Code

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.