LLM Mart Basic

General-purpose content production - articles, reports, social posts, newsletters, product descriptions, and docs - with channel adaptation and quality control. Use as the entry point for "write me content" requests.

Turn one long-form piece into LinkedIn posts, X threads, Instagram carousels, TikTok scripts, and emails. Use to multiply reach from existing content.

Compress long histories and documents into durable decision summaries without losing constraints, TODOs, or file paths. Use before long continuations, handoffs, or when context is getting large.

Extract structured data from contracts - parties, dates, amounts, obligations, deadlines, and renewal terms - into usable tables. Use to digest contract stacks.

Review commercial contracts - flag risky clauses, missing protections, and negotiation points. Use before signing or sending any agreement. Not a substitute for a lawyer.

Optimize landing pages, forms, CTAs, and funnels - diagnosis, hypotheses, and test plans. Use when traffic exists but conversions lag.

Write sales pages, ads, slogans, and persuasive copy using proven frameworks (AIDA, PAS, value-first). Use when words must convert, not just inform.

Write personalized cover letters and motivation messages that connect a candidate's story to a specific company and role. Use alongside tailored CVs.

Critically review code, plans, or agent output for bugs, security issues, missing tests, and weak assumptions before delivery. Use before merging, deploying, or sending user-facing results.

Keep the CRM clean - log activities, update deal stages, maintain contact data in HubSpot, Salesforce, or a workspace CRM. Use after every sales interaction.

Schedule reminders and recurring tasks.

BTC / ETH / SOL swing skill for the Trading Agent OS. Technical + sentiment + vol cap; no fake token fundamentals.

Build ICP and buyer personas - pains, goals, objections, triggers, and watering holes - from real evidence. Use before messaging, targeting, or content planning.

Generate professional, ATS-compatible CVs from career information - structure, achievement phrasing, and clean formatting. Use to create or rebuild a CV.

Adapt an existing CV to a specific job offer - keyword alignment, reordering, and emphasis, without fabrication. Use for each serious application.

Plan and execute source→target data migrations with mapping, transforms, reconciliation, and cutover checks. Use for CRM/ERP/DB moves.

Audit data protection and privacy - PII/PHI handling, encryption at rest and in transit, retention, logging of sensitive data, tenant isolation, and GDPR/CCPA obligations. Use for /vault, privacy reviews, or compliance-driven data audits.

Detect duplicates, missing values, schema drift, and inconsistencies across datasets. Use before migrations, reporting, or model training.

Explore PostgreSQL, MySQL, MongoDB, Redis, and SQLite schemas and sample data safely (read-first). Use when understanding data models or diagnosing query issues.

Live debugging workflow - reproduce first, DebugMCP breakpoints, conversational state questions, isolated repair branch, before/after tests, repair report. Use for /debug and hard production bugs.

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.

Scaffold a Python project (FastAPI, Django, library, or CLI) with uv, type hints, testing, and dev tooling

Open a review-action approval window by creating the ./.review-approved flag file. Takes an optional reason string that is recorded in the flag file and an unsigned approval log.

List the review actions that the review-governance policy blocked in this session. protect-mcp 0.7.4 writes no receipt for a denied call, so the list comes from the session, not from ./review-receipts/.

Review software compliance controls, regulatory requirements, and audit readiness

Scan dependencies for vulnerabilities and generate supply chain security evidence

Orchestrate comprehensive security hardening with defense-in-depth strategy across all application layers

Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks

Initialises the ShipMate pipeline in the current project. Creates the stories folder, sets up the pipeline state directory, and runs the initial codebase scan to generate project-doc.md and AGENTS.md.

Master pipeline entry point. Routes requirements from a story file through scan → orchestrate → architect → implement → review → QA → playwright stages. Use /ship stories/foo.md to start, /ship status to check progress, /ship resume to continue.

Generate comprehensive investor-ready business case document with market, solution, financials, and strategy

Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios

Generate comprehensive market opportunity analysis with TAM/SAM/SOM calculations

Scaffold a Rust project (binary, library, workspace, or Axum web API) with Cargo, testing, and dev tooling

Execute a comprehensive TDD workflow with strict red-green-refactor discipline

Implement minimal code to make failing tests pass in TDD green phase

Write comprehensive failing tests following TDD red phase principles

Refactor code while keeping all tests green in TDD refactor phase

Resolve a GitHub issue from triage and root cause analysis through test-driven implementation and a pull request

Generate async standup notes from git commits, Jira tickets, and Obsidian notes

Audit UI code for WCAG compliance

Offline-first Python AI agent that runs a tiny research business: quotes each job against its own costs, collects via Stripe, fulfils with NVIDIA Nemotron, pays…

DSH 插件 · 注入式优化器 0.8（主线）：你照常说话，它在你发送后,AI接收前把"这一轮到底要什么"理清楚，再把这份理解交给工作 AI(上下文注入) —— 原话不改写，条条带逐字依据。含控制界面（档位/权限/模型/上下文/只读工具）、拦截浮层（思维层+产出层）与真实 token 用量。可明显提升大多数模型的发挥稳…

Reliable AI Skill + MCP toolkit for agent-driven desktop CAD automation.

Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness：24 章 Python 教程，覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹

MCP server and CLI tools for web search and crawling, built on SearXNG and Crawl4AI

Delta MCP is a free app that sits between your AI apps and their MCP servers: one program per task instead of one tool call per step, up to 24.1× fewer tokens i…

Ava turns any Android 5+ device into a voice-first Home Assistant kiosk. Native C++ under the hood, so a 10-year-old tablet still listens, talks, and runs the h…

Roblox Studio macOS Window Capture Fix 2026: Real Screenshot Tool Instead of Magenta Playtest Glitch

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