LLM Mart Basic
@llm-mart · Joined Jun 2026
Design optimized database schemas for SQL and NoSQL databases including tables, relationships, indexes, and constraints. Creates ERD diagrams, migration scripts, and data modeling best practices. Use when users need database design, schema optimization, or data architecture plann
Analyzes a deal in progress and generates a comprehensive closing strategy. Researches the target company, maps the buying committee, builds objection responses, creates competitive positioning, and outputs a tactical deal-playbook.md with next-best-actions and a mutual close pla
Fixes broken decks/PDFs exported from Claude's "Design" feature (or similar AI deck generators) — cut-off or clipped text, wrong/substituted fonts, and corrupted .pptx package structure that shows up only once you export to PDF, not while looking at it in the app. Use this skill
Install a complete design-token theme into any project in one pass -- pulls a style from the Open Agent Stack design-styles collection (aurora-mesh, cirrus, liquid-glass, mono-brutalist, neo-terminal, sand-terra, tidal) or a local tokens.json, wires it into Tailwind/CSS, and repa
Create design systems with tokens, components, and documentation. Use when building design systems, creating component libraries, or establishing design tokens.
Audit and sync design tokens between the source of truth (tokens.json, Figma variables export) and the code that should consume them (Tailwind config, CSS custom properties, theme files). Finds drift -- hardcoded values, orphan tokens, out-of-date copies -- and fixes it in the ri
Build or modernize an employee handbook for a small business with no HR department -- interviews the owner for actual practices, drafts every core policy in plain English, flags the state-specific requirements that need local verification, and outputs a document employees might a
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summarie
Identifies upsell and cross-sell opportunities within existing customer accounts. Analyzes product usage, feature gaps, team growth, industry benchmarks, and competitive pressure to surface revenue expansion plays scored by potential, effort, and likelihood. Generates an expansio
Use before writing code against a library, SDK, API, or framework whose current version you are not certain of — especially fast-moving ones. Trigger when an import fails, a method does not exist, a config key is rejected, a deprecation warning appears, or the user says the code
Uses 1M context window to ingest an entire codebase and output a file-by-file migration plan. Supports JS to TS, React class to hooks, framework migrations, and more. Generates migration-plan.md with file inventory, dependency graph, migration order, file-by-file changes, estimat
Uses MCP Connectors to read Gmail inbound leads, score them by ICP fit, draft personalized responses, and log qualified leads to your CRM. Turns your inbox into an automated pipeline.
Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.
Trigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.
Design docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.
Write warm, direct collaboration comments. Trigger: PR feedback, issue replies, reviews, Slack messages, or GitHub comments.
Use Gentle AI harness discipline for Pi work: clarify first, preserve OpenSpec artifacts, use strict TDD where available, delegate through subagents when useful, and protect review workload.
Create and triage GitHub issues from repository evidence. Trigger: issue creation, bug reports, feature requests, or issue approval.
Trigger: judgment day, judgement day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/svelte-component
Svelte component
Create new Svelte components with best practices, proper structure, and optional TypeScript support.
/svelte-debug
Svelte debug
Help debug Svelte and SvelteKit issues by analyzing error messages, stack traces, and common problems.
/svelte-migrate
Svelte migrate
Migrate Svelte/SvelteKit projects between versions, adopt new features like runes, and handle breaking changes.
/svelte-optimize
Svelte optimize
Optimize Svelte/SvelteKit applications for performance, including bundle size reduction, rendering optimization, and loading performance.
/svelte-scaffold
Svelte scaffold
Scaffold new SvelteKit projects, features, or modules with best practices and optimal project structure.
/svelte-storybook-migrate
Svelte storybook migrate
Migrate Storybook configurations and stories to newer versions, including Svelte CSF v5 and @storybook/sveltekit framework.
/svelte-storybook-mock
Svelte storybook mock
Mock SvelteKit modules and functionality in Storybook stories for isolated component development.
/svelte-storybook-setup
Svelte storybook setup
Initialize and configure Storybook for SvelteKit projects with optimal settings and structure.
/svelte-storybook-story
Svelte storybook story
Create comprehensive Storybook stories for Svelte components using modern patterns and best practices.
/svelte-storybook-troubleshoot
Svelte storybook troubleshoot
Diagnose and fix common Storybook issues in SvelteKit projects, including build errors, module problems, and configuration issues.
/svelte-storybook
Svelte storybook
General-purpose Storybook assistance for SvelteKit projects, including setup guidance, best practices, and common tasks.
/svelte-test-coverage
Svelte test coverage
Analyze test coverage, identify testing gaps, and provide recommendations for improving test coverage in Svelte/SvelteKit projects.
/svelte-test-fix
Svelte test fix
Troubleshoot and fix failing tests in Svelte/SvelteKit projects, including debugging test issues and resolving common testing problems.
/svelte-test-setup
Svelte test setup
Set up comprehensive testing infrastructure for Svelte/SvelteKit projects, including unit testing, component testing, and E2E testing frameworks.
/svelte-test
Svelte test
Create comprehensive tests for Svelte components and SvelteKit routes, including unit tests, component tests, and E2E tests.
/sync-automation-setup
Sync automation setup
Setup automated synchronization workflows
/sync-conflict-resolver
Sync conflict resolver
Resolve synchronization conflicts automatically
/sync-issues-to-linear
Sync issues to linear
Sync GitHub issues to Linear workspace
/sync-linear-to-issues
Sync linear to issues
Sync Linear tasks to GitHub issues
/sync-pr-to-task
Sync pr to task
Link pull requests to Linear tasks
Open-source, self-hosted AI media server. One server replaces your entire media stack, with a web app, native iPhone app, and an AI agent that gets things done.…
3 views 0 likesA curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
3 views 0 likes🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic fr…
3 views 0 likesWebextension tool for Odoo
3 views 0 likes基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat
0 views 0 likesThe operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent…
0 views 0 likesMetrik 可以集中查看本机多个 Agent 的配额余量和 Token 消耗,目前支持 ChatGPT、Claude、GLM、Kimi 等主流 AI 服务。
0 views 0 likesAn AI agent with a real self — soul she wrote, desires that drive her, a heartbeat for autonomous action, dreams she processes when you're away. Capability supe…
0 views 0 likesProduction-ready open source terminal coding agent with readable, layered code: permission rules, OS sandboxing, MCP, skills, sub-agents, and Anthropic, OpenAI-…
0 views 0 likesAnswer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。
1 views 0 likesPrompt packs that make any AI agent a LaTeX expert — fix errors, polish writing, format for venues, read papers, recover source
1 views 0 likesClaude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideat…
1 views 0 likesClaude Code + OpenClaw + Codex + WorkBuddy 中文教程 | 50篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 四线学习路径(编程+助手+Agent+办公)
1 views 0 likesSmartLabelBench 2026: LLM-Powered Auto Annotation and Dataset Builder for Everything
1 views 0 likes从零开始玩转OpenClaw:最全面的中文教程,涵盖安装、配置、实战案例和避坑指南(github版)
1 views 0 likesNative Android GUI for running AI coding agents locally on-device. No terminal or PC required.
0 views 0 likes基于 LangChain/LangGraph 的 ReAct Agent ,结合 RAG、工具调用与 Streamlit 界面,面向智能客服与报告生成场景。
0 views 0 likesAn open-source, local-first AI learning workbench
2 views 0 likesOpen-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome.
2 views 0 likesMatt Pocock 技能集的中文翻译版 — 地道中文,原汁原味的技术术语。基于 mattpocock/skills 复刻。每日中午12点钟同步
2 views 0 likes