LLM Mart Basic

Use when the user wants to triage GitHub issues - decide whether an issue is still relevant, reproducible, closeable, a duplicate, or what concretely needs doing. Selects and prioritizes first (never dumps all issues at once), then deep-triages the chosen issues via parallel suba

The credo work-item model, where the FOLDER an item file lives in is the single source of truth for its status, gated by a hard Definition of Done. Use whenever you create, update, or track a work item; whenever you decide whether something is "done" and may move to 2_done/; when

The credo procedure for migrating an existing repo into the .credo/ structure, without any loss risk. Use when migrating a repo into .credo/, onboarding a legacy project into credo, or turning scattered process docs (requirements logs, handoffs, progress notes, audits, plans, spe

Delegate work to subagents safely and efficiently - decide how many subagents to run, keep parallel tracks on disjoint files, monitor them without flooding your context, inherit security to every subagent, and use return-and-resume so a subagent can ask a question and continue wi

Use when the user wants to thoroughly investigate, vet, review, or security-scan a pull request before deciding how to handle it - especially PRs from external or unknown contributors. Runs a parallel multi-agent investigation (technical, security, value/fit, contributor reputati

Capture a user requirement, decision, approval, or constraint word-for-word into an append-only dated log so it survives context compaction and can never be trimmed, softened, or reinterpreted. Use whenever the user states or approves a requirement, gives a GO, sets a constraint,

Clear this session's credo role, returning to the default of NO role (the agent does everything). Use ONLY when the user actually drops the role, for example "clear the role", "no role", "forget the role", "you are no longer the plan/task agent", "back to doing everything", "roll

Per-repo credo special rules (project-local grants) that live in the target repo's `.credo/RULES.md` and travel with the repo. Load and honor these at the start of every session and inside every subagent, so a project can widen credo's autonomy for itself - for example "in this d

Hard safety rules that must travel with the project: filesystem-protection and no-autonomous-installs. Use before any delete, rm, shred, unlink, find -delete, mkfs, dd, or wipefs, before removing local files, and before any install (pip, npm, apt, system or global tools). These a

Do WRITING pre-work for a clarify item that is blocked by a knowledge gap - a missing measurement, a mockup, or a feasibility proof - WITHOUT touching production code, without git, and without disturbing the task / build agent. Use when a 1_clarify item cannot be answered by a pr

The credo behavior for a session running in ACTIVE mode - intensive live collaboration with the user present at the keyboard. Load this when the session-mode inject line says "Load skill session-active", right after the /credo:session-active command, or whenever you are collabora

The credo behavior for a session running in AUTONOMOUS mode - work approved GO items unattended while the user is away, hook-enforced self-scheduled keep-alive, budget caps always on. Load this the MOMENT the user hands off full-autonomy, unattended, or AFK work - EVEN BEFORE the

The credo behavior for a session running in PASSIVE mode - you carry most of the work alongside and the user is available only for clarifications, with no keep-alive. Load this when the session-mode inject line says "Load skill session-passive", right after the /credo:session-pas

Turn a recurring in-session workflow into a reusable Claude Code skill. Load this the moment you notice you have run the SAME multi-step sequence (same ordered steps or commands, small variation allowed) about three times in the current session, or when open candidates are waitin

Visual verification as the Definition of Done for any change with a runtime surface (a rendered page, a UI, a live view). Use whenever you are about to call a UI or frontend change done, before moving an item to done, whenever an item is marked ui: true, or when someone asks "doe

Reach and act on Windows-side services, processes, launchers, and logs when the agent runs inside WSL. Use whenever a service seems unreachable from WSL (a localhost curl fails), when you need to start/stop or inspect a Windows-side process or .ps1 launcher, read Windows logs, hi

Author and edit Skmtc generators — packages that project an OpenAPI domain model into application code. Method: clone the nearest stock generator, then apply the engine rules imitation can't teach. Assumes zero prior Skmtc knowledge. Use when asked to "write a skmtc generator", "

The TypeScript target-language layer for Skmtc generators (@skmtc/lang-typescript): projection base factories, TsSnippet, the three register shapes, identifier kinds and the type-only import machinery, composition helpers, sanitization, TsFile render rules. Use ALONGSIDE skmtc-ge

The model-generator shape for Skmtc: one definition per component schema, built by copying the shipped SKELETON package and filling its SLOT markers with the target library's syntax. Covers the edge cases every model generator must survive — refs, recursion, optional vs nullable,

The operation-generator shape for Skmtc: one definition per (path, method), for any output family — client hooks, SDK methods, forms, route stubs, docs. Output varies wildly; the DECOMPOSITION of the operation and the peer-consumption rules do not. Core teaching: every schema tha

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.

Check frontmatter against the schema

Pull knowledge into a project

Scan for credentials

Show what a claim rests on

Split an overloaded page

Find concept pages nobody has touched

Audit the tag vocabulary

How my sources developed over time

Show which pages an answer used

Add relation types where they matter

The weekly review

Implement an approved plan or issue in its own worktree, run the gate, open the pull request.

Close a finished session: sweep for unfinished work, ask once, land, file the follow-ups, hand off, tell the sessions that depend on this one, then archive.

Write the repository handoff file for the next session, and record any durable learning.

Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.

Turn a topic or issue into a plan the reviewer approves in the native plan pane.

Answer a research question with parallel read-only gatherers and one synthesized digest.

Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.

Transform a vague prompt into precise, structured AI instructions

Implement an approved plan or issue in its own worktree, run the gate, open the pull request.

MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native ski…

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OKF (Open Knowledge Format): Durable, structured memory for AI agents. Author, validate, consume, and maintain portable knowledge bundles through an ecosystem o…

토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and bu…

MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation

A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space

One local dashboard for every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac. Spawn in parallel, ship in parallel. Open source, MIT.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

The AI agent that lives in your framework/browser

Self-Programming AI Assistant. Capture, automate, and refine all your workflows.

Consider it done. The open-source AI agent that works out of the box · 想到，就能做到。开源、开箱即用的 AI Agent。

Make Any Website into CLI & Use your logged-in browser by AI agent.

ISO 24495 Plain Language skills and Claude Code plugin

Deterministic, fail-open tool routing for Hermes Agent with an optional local-model fallback.

1인 사업가 생산성 키트 — 직원 없이 49개를 자동화했고, 그중 바로 쓸 수 있는 AI 에이전트 스킬 26개(+실행 스크립트)를 공개합니다

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agent…

The open-source, self-hosted video conferencing software. Scalable, customizable, and with a powerful AI Meeting Agent.

Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS mon…

A local-first, cross-platform Electron desktop workspace for Pi Coding Agent, with sessions, project files, browser tools, skills, plugins, and messaging integr…