LLM Mart Basic
@llm-mart · Joined Jun 2026
Federal Rules of Evidence expertise — auto-activates when assessing admissibility for depositions or trial
Legal research expertise — auto-activates when locating cases, statutes, and procedural rules for litigation tasks
Creating polished, client-facing consulting documents and presentations
Management consulting frameworks, structured problem-solving, and analytical thinking
Borrower education, rate explanations, closing process walkthroughs, and milestone updates
Loan products, rate structures, underwriting guidelines, compliance requirements, and closing procedures
Nursing assessment, NANDA-I taxonomy, NIC/NOC classification, medication administration documentation, and vital signs interpretation
Health literacy-adapted materials, teach-back method guidance, and discharge instructions
ADL assessment, fine motor evaluation, sensory processing, cognitive rehabilitation, and hand therapy documentation
Home program instructions, caregiver training materials, and adaptive equipment recommendations
Clinical optometry expertise for eye examination, ocular disease, contact lens fitting, and ophthalmic coding
Vision care education, treatment explanation, compliance counseling, and pediatric/geriatric communication adaptation
Legal research expertise including case analysis, statutory interpretation, and IRAC methodology
Legal writing expertise including contract drafting, legal memoranda, discovery, and correspondence
Exercise science expertise for program design, periodization, biomechanics, and evidence-based training methodology
Business strategies for client retention, pricing, marketing, and growth for solo fitness professionals
Clinical pharmacy expertise for medication therapy, drug information, and pharmacy practice
Patient-centered medication communication adapted to health literacy levels
Pricing strategies, proposal writing, contracts, client management, and studio operations
Shot composition guidance, album narrative structure, and brand photography direction
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.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/btw
Btw
The one exception to codeArbiter's slash-command pipeline: a lightweight question-and-answer
/checkpoint
Checkpoint
A periodic sweep of the entire codebase with the same reviewer fleet `/ca:review` uses per-diff,
/chore
Chore
This is the lane for changes with no behavior to test-drive — prose edits, a version bump on an
/cleanup
Cleanup
Use this after a pull request has merged but your local checkout is still on the topic branch.
/commands
Commands
Prints the public command catalog straight from `COMMANDS.md` — the plugin's own single source
/commit
Commit
This is the single entry point for turning staged work into a commit — nothing in codeArbiter
/conflict
Conflict
The protocol for a rule conflict — not a skill route, an orchestrator-level halt. When two sources
/context-check
Context check
An optional, on-demand drift audit for the bypass case: a merge, a direct push, or a manual edit
/create-context
Create context
This is the populator for a project that already has code to read. Instead of interviewing you about
/debug
Debug
This is where an unexplained defect goes before anyone touches code. The investigation is
/decompose
Decompose
This is the populator for a project that has no code yet to read. Rather than guessing at
/doctor
Doctor
Proves the install is actually enforcing, rather than just present. codeArbiter's worst failure
/feature
Feature
This is the standard entry point for new work with a human in the loop at every step. A short
/fix
Fix
This is the entry point for a defect that already has a known cause, or one you can describe
/init
Init
This is how a repository opts into codeArbiter for the first time. It writes the root-level state
/metrics
Metrics
A bare-numbers governance glance — three metrics, each with a trend arrow against the prior
/new-skill
New skill
The only permitted entry to creating a new codeArbiter skill. It hands off to the `skill-author`
/override
Override
The sanctioned, logged escape hatch. A routine gate — a lint rule, a style check, a non-security
/pr
Pr
This is the only path to opening a pull request — there's no direct push or force-push to the
/preview
Preview
A zero-onboarding, read-only dry-run of the reviewer fleet against whatever is currently
Okou connects to the tools your team already uses and does the work — across marketing, sales, engineering, and operations, under your control.
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