LLM Mart Basic

WCAG 2.2 accessibility expertise — auto-activates on designer tasks to flag violations before handoff

Brand voice and visual identity expertise — auto-activates on designer tasks to resist generic AI defaults

Medical nutrition therapy, macronutrient calculations, lab interpretation, dietary guidelines, and condition-specific protocols

Client education, meal planning communication, behavior change counseling, and motivational strategies

Carbon accounting expertise — auto-activates on Scope 1/2/3 calculation and GHG inventory tasks

Regulatory standard mapping expertise — auto-activates on ESG framework alignment and disclosure mapping tasks

Proposal writing, expectation management, change communication, and post-event reporting

Event concept development, logistics planning, vendor coordination, budget management, and timeline creation

Professional communication, email management, stakeholder coordination, follow-up systems

Executive operations, calendar management, travel coordination, expense workflows

Client advisory communication with fiduciary tone, compliance-friendly language, and plain-language financial education

Financial planning knowledge for retirement, education, estate, tax, and insurance needs analysis

Regulatory change monitor — current SEC, FINRA, IRS landscape with effective dates; flags advice impacted by recent changes

AI vendor billing-model fluency — auto-activates when normalizing, comparing, or forecasting AI spend across seats, usage, credits, and reserved capacity

AI unit-economics discipline — auto-activates when evaluating whether AI spend is worth it, pushing from tokens and requests to cost-per-successful-outcome

Weekly and monthly operating rhythm for solo founders — retros, three-bet weekly plans, honest monthly updates, and metric discipline

Scope and shipping guardrails for solo founders — cutting v1 to the one feature that tests the riskiest assumption, and a validation check before anything goes public

Worker-facing safety writing conventions — auto-activates when drafting toolbox talks, procedures, signage, alerts, or any safety material a crew has to read and act on

Safety-documentation guardrails — auto-activates on incident, inspection, recordkeeping, or regulatory work to keep drafts factual, uncertified, and never in front of a reporting obligation

Map clinical study data to FDA Substantial Equivalence and clinical performance criteria for AI-enabled medical devices

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.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

Generate a custom checklist for the current feature based on user requirements.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

Execute the implementation planning workflow using the plan template to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

Cancel active execution loop and cleanup state

Start task execution loop

Smart entry point for new features with auto ID and branch management

Show current feature status and progress

Switch active feature

Cancel active execution safely and optionally remove the spec

Generate technical design from requirements

Submit feedback or report an issue for Ralph Specum plugin.

Show help for Ralph Specum plugin commands and workflow.

Start task execution loop

Index codebase components and external resources into searchable specs

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.