LLM Mart Basic

【装修隐蔽工程必看】水电是装修第一步、最容易被坑的环节——绕路加米数、不估价坐地起价、进口水管忽悠、水电包死偷工、走顶多花钱、横平竖直当质量、验收一堆专业名词看不懂？这个Skill专治各种水电套路，覆盖水电规划、计费方式、估价谈判、验收标准、常见坑点。适合拿到水电报价、准备交底、担心被加价、想自己看懂水电的业主。

【第一次装修必看】你是第一次装修吗？不知道从哪下手、不清楚下一步该做什么、担心被工长忽悠、想搞清楚装修全流程？这个Skill内置装修课堂知识库，直接教你装修全流程——问收房验房、问开工交底、问拆除砌墙、问水电改造、问瓦工防水、问木工吊顶、问油漆墙面、问安装验收、问工期管理，全部覆盖。适合第一次装修、想搞清楚每一步该做什么的业主。

【装修环保必看】你担心装修污染吗？怕甲醛超标、不知道环保材料怎么选、被甲醛治理公司忽悠、搞不懂E0/ENF级？这个Skill内置装修课堂知识库，直接教你环保真相——问甲醛、问板材环保、问乳胶漆、问壁纸壁布、问甲醛治理、问通风方法，全部覆盖。适合担心装修污染、有孩子/老人要入住、想装出健康家的业主。

【装修翻车必看】你家装修翻车了吗？瓷砖空鼓、墙面开裂、漏水、尺寸错了、插座不够、灯偏了？这个Skill内置装修课堂知识库，直接教你怎么补救——问翻车怎么办、问补救方法、问修复成本、问能不能自己搞定，全部覆盖。适合装修已经翻车、不知道怎么办、返工成本太高想找替代方案的业主。

【装修小白必看】你是第一次装修的小白吗？什么都不知道、不知道问什么、怕被坑又不知道坑在哪？这个Skill覆盖装修全流程——问找公司、问签合同、问施工、问选材、问设计、问布局、问家具家电，一站式解答你的装修疑问。适合装修小白、第一次装修、不知道从哪下手的业主。

【算装修要花多少钱】输入户型/面积/新房旧房/装修档次，一键估算装修预算——半包施工费、主材费、定制柜、间接费全算清，并告诉你预算单怎么看、容易超在哪。适合想知道"我家装修大概多少钱""半包全包差多少""预算怎么做才不超"的业主。

【儿童房装修必看】家里有小孩、正准备要孩子、或想给儿童房做环保安全装修？这个 Skill 内置装修课堂知识库，专门讲"适童化"——儿童是最易受甲醛伤害的人群，儿童房必须实木/ENF/控总量。问儿童房怎么装环保、问儿童房墙面地面用什么、问儿童家具选实木还是人造板、问孩子学习/游戏专区怎么规划、问有娃家庭怎么防磕碰防污染，全部覆盖。适合家里有娃、备孕婚房、想装出健康儿童房的业主。

Automate creating Legado reading source files by analyzing websites with AI to generate valid JSON for efficient source development.

Web accessibility end to end - WCAG 2.2 conformance, legal obligations (EAA, ADA Title II), auditing with automated + keyboard + screen-reader passes, and the failures that appear on most sites. Triggers on: accessibility, a11y, WCAG, WCAG 2.2, AA conformance, EAA, European Acces

Author, index, and lint Architecture Decision Records — append-only memory that recovers the WHY behind a system's shape. Triggers on: adr, architecture decision record, decision log, record this decision, supersede an adr, why was this decided, adr template, next adr number.

API design patterns for REST, gRPC, and GraphQL. Use for: api design, REST, gRPC, GraphQL, protobuf, schema design, api versioning, pagination, rate limiting, error format, OpenAPI, API authentication, JWT, OAuth2, API gateway, webhook, idempotency.

Astro framework patterns, islands architecture, content collections, rendering strategies, and deployment. Use for: astro, islands architecture, content collections, astro cloudflare, view transitions, partial hydration, astrojs, SSG, SSR, hybrid rendering, astro adapter.

ASUS router config and hardening: Asuswrt-Merlin, security hardening, encrypted DNS (DoT/DoH), VPN (WireGuard/OpenVPN), guest networks, VLAN/IoT isolation, AiMesh, AiProtection. Triggers on: asus router, asuswrt, merlin, wireguard router, AiProtection, AiMesh, nvram, jffs, IoT is

Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.

Authentication and authorization patterns - JWT, OAuth2, sessions, RBAC, ABAC, passkeys, MFA, identity-aware proxies, and Better Auth. Use for: authentication, jwt, oauth2, session, login, rbac, abac, passkey, mfa, totp, api key, token, cookie, csrf, bearer token, refresh token,

Evaluate current session for skill-worthy workflows and create reusable skills. Triggers on: auto-skill, create skill from session, save workflow, capture this as a skill.

Defensive Bash scripting for production automation, CI scripts, and agent-facing tools. Triggers on: bash, shell script, defensive bash, bash strict mode, set -euo pipefail, set -Eeuo pipefail, shellcheck, trap, IFS, cleanup trap, mktemp, getopts, argument parsing, exit codes, st

CI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite act

Building applications ON Claude - the Anthropic API and Claude Agent SDK. Use for: anthropic api, claude api, messages api, tool use, function calling, prompt caching, agent sdk, claude-agent-sdk, structured output, json schema output, batches api, extended thinking, adaptive thi

Patterns for building production-quality CLI tools with predictable behavior, parseable output, and agentic workflows. Triggers: cli tool, command line tool, build cli, cli patterns, agentic cli, cli design, typer cli, click cli.

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.

Record the present state by mode — decision (ADR, RFC, rule), code (spec, doc, guide, scenario), or research (a ready report or one external material); a gate picks the document type.

First-time Archcore setup — wire host configs, measure the authored context, compose the full first-day seed in one preview, and create it on one confirm; import converts CLAUDE.md, AGENTS.md, rule files, ADRs, and docs into native documents; refresh adds new facts or drills into one domain.

Plan a feature or initiative through a computed route — a small fix exits with no documents, one capability gets a spec and a plan, a large initiative gets an umbrella PRD with one spec per capability; start with sdd, sources (market research), iso (regulated work), or research (technical investigation) to run that path directly.

Review branch changes against Archcore docs, or report project health; drift runs staleness detection, deep a full documentation audit, closeout closes a finished feature, experience captures a repeated pattern.

Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.

Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.

Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.

Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

Audit Solana program code for exploitable bugs and write a findings report

Compare per-instruction CU with the stored baseline to catch regressions

Build the web client (Next.js, Vite, React) and check env, types and bundle

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

Replay a user's failing transaction on forked state and map the error to source

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

Review the branch diff for Solana security issues, CU waste and AI slop

Read-only check of toolchain and kit config, with one fix-it command per failure

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.