LLM Mart Basic

Local LLM·RAG·AI Agent·바이브 코딩을 개념부터 실습과 검증까지 다루는 학습 자료

Orient within a camp's directory structure. Use when deciding where work belongs (intents vs festivals vs design vs docs vs dungeon), especially when a task is not yet planned or folder ownership is unclear.

Manage a camp's intents, dungeons, and workflow collections with `camp`. Use when capturing ideas, promoting intents to festivals, archiving work, or moving workflow items between statuses.

Discover and reference other camps, projects, and files across camp boundaries. Use when the user mentions another camp or campaign by name, references work done "in another project/camp", or needs to find/copy/compare code across camps.

Execute active festival tasks. Use when finding the next task, marking tasks completed/blocked/reset, committing with festival traceability, advancing workflow steps, and validating sequence progress.

Use when the user mentions festivals, the fest CLI, phases, sequences, or tasks, or when working inside a `festivals/` directory. Provides the core Festival methodology model so Claude understands the planning system.

Plan and scaffold festivals. Use when creating festival/phase/sequence/task structure, enforcing naming rules, linking festivals to projects, and promoting lifecycle states.

Create and run lightweight standalone `WORKFLOW.md` loops with `fest create workflow`, `fest next`, and `fest workflow advance`. Use when a user wants step-by-step workflow guidance inside any ordinary directory, explore/design work item, project folder, or thin-start workflow.

Route work that is too large for a single chat into a structured plan. Use when the user describes a multi-step build, a migration, a rewrite, an audit, a refactor across many files, or a research question with several threads. Use when a goal would otherwise need step-by-step su

Navigate a camp with `cgo` and `camp go`. Use when you need to move between projects/festivals/workflow directories, switch context quickly, or resolve script-safe paths with `camp go --print`.

Manage a camp's projects. Use when committing inside `projects/*`, deciding status/pull/push scope (root vs submodule vs all), or creating/removing project worktrees.

Find, filter, choose, create, or adopt camp work items with `camp workitem`, `camp wi`, or `camp workitems`. Use when a user wants current active work across intents, designs, explore notes, festivals, or tracked workflow directories; when agents need safe `camp workitem --json`

Choose the correct commit command in a camp, also called a campaign. Use when you are about to commit and need to select `camp commit`, `camp p commit`, `fest commit`, or intentional root pointer sync via `camp refs-sync`.

Orient within a camp's directory structure. Use when deciding where work belongs (intents vs festivals vs design vs docs vs dungeon), especially when a task is not yet planned or folder ownership is unclear.

Manage a camp's intents, dungeons, and workflow collections with `camp`. Use when capturing ideas, promoting intents to festivals, archiving work, or moving workflow items between statuses.

Discover and reference other camps, projects, and files across camp boundaries. Use when the user mentions another camp or campaign by name, references work done "in another project/camp", or needs to find/copy/compare code across camps.

Execute active festival tasks. Use when finding the next task, marking tasks completed/blocked/reset, committing with festival traceability, advancing workflow steps, and validating sequence progress.

Use when the user mentions festivals, the fest CLI, phases, sequences, or tasks, or when working inside a `festivals/` directory. Provides the core Festival methodology model so Claude understands the planning system.

Plan and scaffold festivals. Use when creating festival/phase/sequence/task structure, enforcing naming rules, linking festivals to projects, and promoting lifecycle states.

Create and run lightweight standalone `WORKFLOW.md` loops with `fest create workflow`, `fest next`, and `fest workflow advance`. Use when a user wants step-by-step workflow guidance inside any ordinary directory, explore/design work item, project folder, or thin-start workflow.

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.

This is the lane for changes with no behavior to test-drive — prose edits, a version bump on an

Use this after a pull request has merged but your local checkout is still on the topic branch.

Prints the public command catalog straight from `COMMANDS.md` — the plugin's own single source

This is the single entry point for turning staged work into a commit — nothing in codeArbiter

The protocol for a rule conflict — not a skill route, an orchestrator-level halt. When two sources

An optional, on-demand drift audit for the bypass case: a merge, a direct push, or a manual edit

This is the populator for a project that already has code to read. Instead of interviewing you about

This is where an unexplained defect goes before anyone touches code. The investigation is

This is the populator for a project that has no code yet to read. Rather than guessing at

Proves the install is actually enforcing, rather than just present. codeArbiter's worst failure

This is the standard entry point for new work with a human in the loop at every step. A short

This is the entry point for a defect that already has a known cause, or one you can describe

This is how a repository opts into codeArbiter for the first time. It writes the root-level state

A bare-numbers governance glance — three metrics, each with a trend arrow against the prior

The sanctioned, logged escape hatch. A routine gate — a lint rule, a style check, a non-security

Explicit PR entry and a direct request to open a PR use the same branch-finishing owner.

A zero-onboarding, read-only dry-run of the reviewer fleet against whatever is currently

This is a Feature Forge preview command — the after-each-turn service ships **off** by default and

Compares architectural records with the scaffold and prior decisions using SMARTS.

This is the lane for moving or reshaping code without changing what it does — a rename, an extract,

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.