LLM Mart Basic
@llm-mart · Joined Jun 2026
Critique a generated image against its source storyboard shot and prompt, producing revision notes. Use when the user has generated an image and wants feedback before committing. Triggers on "does this match the brief", "review this render", "is this on-brand", "what should I cha
Generate model-specific prompts from shots.json. Outputs copy-paste-ready prompts for stills (Midjourney, Flux, Ideogram, GPT Image, Nano Banana, Seedream) and motion video (Kling, Veo, Seedance, Hailuo). Also runs a revision mode that reads a critique.json and re-emits prompts f
Use aai-cli to inspect and manage Confluence spaces, pages, comments, attachments, and page moves.
Use aai-cli to create local spreadsheet files, manage their sheet tabs, and read, update, or clear cell values — Excel (.xlsx/.xlsm) and delimited text (.csv/.tsv).
Use aai-cli to inspect and manage GitHub repositories, issues, pull requests, reviews, branches, source files, and Actions logs.
Use aai-cli to find Google Drive files and folders, read their metadata, download their content (including Google-native Docs, Sheets, and Slides), check who a file is shared with, and upload a local file back to Drive.
Use aai-cli to inspect HubSpot CRM records, files, events, conversations, visitor identification, and custom channels.
Use aai-cli to search and manage Jira issues, Jira Product Discovery ideas, projects, boards, sprints, comments, and attachments.
Work with Microsoft 365 through aai-cli by choosing the right Microsoft service and resource model, then using durable Graph credentials for Outlook, OneDrive, SharePoint, Teams, Excel, To Do, and Planner workflows.
Use aai-cli to read OpenPanel projects, raw event exports, aggregated insights (metrics, pages, referrers, devices, geo), and user profiles.
Use aai-cli to manage Pipedrive leads, persons, organizations, deals, labels, activities, notes, deal flow/stage history, and synced mailbox data.
Use aai-cli to query PostHog product analytics, read projects, execute HogQL event queries, list saved insights, inspect persons and cohorts, read team dashboards, and view release annotations.
Use aai-cli email commands with Zoho Mail profiles to list, read, send, and delete Zoho messages.
Compiles a single raw Vaultr note into knowledge units using a two-phase AI process (triage → compile). Use this skill whenever the user wants to compile a note into knowledge, extract knowledge from a note, update the knowledge base from a note, merge note content into knowledge
Builds and refreshes domain-based index files for the Vaultr knowledge base. Use this skill whenever the user wants to build, rebuild, refresh, or update the knowledge index, create domain indexes, organize knowledge by domain, or index the knowledge base. Triggers on phrases lik
Extract and update personal memories from Vaultr notes into structured memory files. Use when the user wants to update their personal memory, extract memories from notes, run memory extraction, or refresh the personal memory base. Triggers on phrases like 'update my memory', 'ext
Guide for working with Vaultr, an AI-native personal note-taking system. Use this skill whenever the user wants to search, find, read, write, save, create, modify, delete, or capture notes — including journal entries, research notes, quick thoughts, knowledge retrieval, or any no
Extract high-value verbatim quotes from a Vaultr note and save each as a short note with a backlink wikilink. Use this skill whenever the user wants to extract key quotes, highlight important passages, or "划重点" from a vault note. Trigger on phrases like "extract quotes", "highlig
Reviews content against the Vaultr knowledge base (_knowledge/) and surfaces what's related and what's in tension. Covers two scenarios: (1) associative recap — cross-check a single short note, daily note, draft, or pasted text against the knowledge base right now, while the thou
Write an article beat-by-beat, drawing from the vault's knowledge base. The user states what to write, who it's for, and what stance to take — the skill discovers relevant knowledge units and leads a choose-your-own-adventure writing journey. Use when the user wants to write some
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.
/implement-graphql-api
Implement graphql api
Implement GraphQL API endpoints
/init-project
Init project
Initialize new project with essential structure
/initref
Initref
Build reference documentation by creating markdown files and updating CLAUDE.md
/issue-to-linear-task
Issue to linear task
Convert GitHub issues to Linear tasks
/issue-triage
Issue triage
Triage and prioritize issues effectively
/linear-task-to-issue
Linear task to issue
Convert Linear tasks to GitHub issues
/load-llms-txt
Load llms txt
READ the llms.txt file from https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms.txt via `curl`. Do nothing else and await further instructions.
/log
Log
Log work from orchestrated tasks to external project management tools like Linear, Obsidian, Jira, or GitHub Issues.
/market-response-modeler
Market response modeler
Model customer and market responses with segment analysis, behavioral prediction, and response optimization.
/memory-spring-cleaning
Memory spring cleaning
Clean and organize project memory
/mermaid
Mermaid
Create entity relationship diagrams using Mermaid from SQL/database files
/migrate-to-typescript
Migrate to typescript
Migrate JavaScript project to TypeScript
/migration-assistant
Migration assistant
Assist with system migration planning
/migration-guide
Migration guide
Create migration guides for updates
/milestone-tracker
Milestone tracker
Track and monitor project milestone progress
/modernize-deps
Modernize deps
Update and modernize project dependencies
/move
Move
Move tasks between status folders following the task management protocol.
/optimize-build
Optimize build
Optimize build processes and speed
/optimize-bundle-size
Optimize bundle size
Reduce and optimize bundle sizes
/optimize-database-performance
Optimize database performance
Optimize database queries and performance
VCP 部署在 AI 模型 API 与前端应用之间,是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架,将原本“无状态、无记忆、无工具调用能力”的大语言模型,彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
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