LLM Mart Basic
@llm-mart · Joined Jun 2026
Save a brief mid-session checkpoint to this workspace and update current state only when a priority or open thread changed. Use only when the user explicitly asks to checkpoint or save current progress.
Close this context workspace through the canonical reviewed handoff workflow. Use only when the user explicitly invokes end.
Migrate selected Gemini CLI instructions, commands, skills, hooks, and MCP configuration into this workspace with a dry run, review gates, and parity checks.
Discover repeated, validated Gemini CLI workflows from a user-selected session directory and turn approved candidates into portable skills and parity tests without exporting private reasoning.
Initialize or refresh this context workspace through the canonical guided review. Use only when the user explicitly invokes setup.
Load this context workspace and produce the canonical session briefing. Use only when the user explicitly invokes start.
Save a concise checkpoint through the canonical workspace update workflow. Use only when the user explicitly invokes update.
Generate a new skill from a plain-language description — decides invocation control, arguments, and context cost, then scaffolds, validates, and tests it
Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Pairs with writing-voice for full voice alig
Draft a cold pitch email to a music blog, playlist curator, or press contact. Load artist-context.md and promotion-strategy.md before running. Use when asked to "pitch [outlet]," "draft an email to [curator/blog]," or "write a press pitch."
Write a platform-native social media post for a music release, show announcement, or general artist content. Load artist-context.md and promotion-strategy.md before running. Use when asked to "write a caption," "write a post for [platform]," or "help me announce [thing]."
Discover, install, compare, and manage Claude Code skills. Search the registry, get recommendations, validate skill quality, and manage your installed skills.
Delegate your agent-skill lifecycle: keep skills current, audit and clean up your inventory, and vet skills before you install them. The Skillsmith Agent diagnoses in full for free, proposes a batched fix plan, and changes files only with your per-changeset approval, with one-ste
Skillsmith is the canonical lifecycle manager for agent skills (SKILL.md format) across any MCP-capable agent runtime — Claude Code, Cursor, Copilot, Codex, Windsurf. Discover, evaluate, install, use, maintain, author, govern, retire skills. Triggers: 'use Skillsmith', 'ask Skill
Secure environment variable management with Varlock. Use when handling secrets, API keys, credentials, or any sensitive configuration. Ensures secrets are never exposed in terminals, logs, traces, or Claude's context. Trigger phrases include "environment variables", "secrets", ".
Use this agent when you need to create foundational templates, boilerplate code, or starter configurations for new projects, components, or features. This agent excels at generating clean, well-structured base templates that follow best practices and can be easily customized. Exa
Enforces engineering standards and code quality policies. Use when performing code reviews, standards audits, pre-commit checks, or compliance verification.
Multi-perspective plan review specialist that coordinates VP Product, VP Engineering, and VP Design perspectives to identify blockers, anti-patterns, conflicts, and regressions. Use when reviewing implementation plans, design docs, or wave plans.
Imported from smith-horn/skillsmith/.claude/commands/agents/README.md.
Imported from smith-horn/skillsmith/.claude/commands/agents/agent-capabilities.md.
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.
/cite
cite
Generate a formatted bibliography from the most recent research session's findings.
/dig
dig
Interactively refine research results by searching deeper into a specific subtopic or channel. Requires an active research session from /tome:research.
/export
export
Export research findings to a format compatible with memory-palace's knowledge-intake skill.
/research
research
Run a multi-source research session searching GitHub, HN, Lobsters, Reddit, arXiv, and Semantic Scholar. Use for multi-channel topic surveys.
/setup
Setup
Configure Azure MCP server with Azure CLI authentication
/load-claude-md
Load claude md
Refresh context with CLAUDE.md instructions
/sync-allowlist
sync-allowlist
Sync allowlist from GitHub repository to user settings
/sync-claude-md
Sync claude md
Sync CLAUDE.md from GitHub repository
/update-readme
Update readme
Update README.md plugin sections and download links
/setup
Setup
Configure GCloud CLI authentication
/setup
Setup
Configure Paper Search MCP (requires Docker)
/functions
Functions
Manage Supabase Edge Functions.
/gen
Gen
Automatically generates type definitions based on your Postgres database schema.
/init
Init
Initialize configurations for Supabase local development.
/link
Link
Link your local development project to a hosted Supabase project.
/login
Login
Connect the Supabase CLI to your Supabase account by logging in with your [personal access token](https://supabase.com/dashboard/account/tokens).
/network-bans
Network bans
Network bans are IPs that get temporarily blocked if their traffic pattern looks abusive (e.g. multiple failed auth attempts).
/projects
Projects
Provides tools for creating and managing your Supabase projects.
/secrets
Secrets
Provides tools for managing environment variables and secrets for your Supabase project.
/start
Start
Starts the Supabase local development stack.
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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