LLM Mart Basic
@llm-mart · Joined Jun 2026
Produce and schedule content for LinkedIn, Instagram, Facebook, X, Reddit, and TikTok - hooks, formats, cadence, and engagement. Use for organic social presence.
Read, analyze, and produce Excel/CSV files - cleanup, pivots, formulas, charts, and formatted workbooks - using pandas and openpyxl. Use for any spreadsheet task.
Translate business questions into SQL, validate results, and explain assumptions. Use for analytics, reconciliations, and ad-hoc reporting.
Triage incidents like an SRE - correlate logs, metrics, events and traces, find the root cause, propose remediation, and write the postmortem. Uses k8sgpt when available.
Inspect and operate Stripe (customers, payments, subscriptions, invoices, products) through the Stripe API or CLI. Use for billing questions, payment debugging, and revenue reporting.
Shared senior-desk contract for Marketing, SEO, and Leads studios. Enforces context bar, sourced claims, deliverable formats, anti-hallucination rules, and a PASS/WARN/BLOCK closing gate. Load on every /marketing, /campaign, /seo, and /leads run.
Studio / GTM reports are interactive Three.js UIs opened with open_preview (UI, not PDF). Expert Review / Security / Debug stay a self-contained HTML file in File Preview (no JavaScript). Use after RiskLens, SEO, Marketing, Leads, Ads, Montage, Meeting, Scraping, Review, Security
Rewrite text to match a target tone - the company's, an executive's, or a specific register - while keeping the substance. Use to align content with a voice.
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
Administer Supabase tables, migrations, storage, functions, and RLS policies. Prefer MCP Supabase or CLI when configured.
Administer Linux, macOS, and Windows servers and VMs - services, disks, memory, processes, network, certificates, backups, patches. Whitelisted read commands; dangerous ops need approval.
Decompose complex requests into ordered steps, dependencies, risks, and deliverables. Use when the user asks to plan a project, break down a feature, migrate systems, or tackle multi-step work before coding.
Create product docs, API references, runbooks, procedures, and architecture documents. Use when precision and completeness matter more than persuasion.
Maintain the library of branded document templates - DOCX, PPTX, PDF styles, email blocks - versioned and reusable by all document skills. Use to create or update templates.
Find, qualify, answer and win public tenders. Official portals, company profile, semantic match, 0-100 score, Go/No-Go, dossier writer, pipeline to Won/Lost. Use for Appels d'offres, RFP, RFQ, DAO, TED, SAM.gov, Etimad, UNGM.
Watch public tenders, RFPs, and consultations across portals - filter by fit, alert on deadlines, and prep bid decisions. Use to never miss a relevant appel d'offres.
Author and validate Terraform / OpenTofu IaC with plan-before-apply discipline. Use for infrastructure changes and reviews.
Generate and run unit, API, and E2E tests (including Playwright) that match project conventions. Use when adding coverage or reproducing a bug with a failing test first.
Map the attack surface and build a STRIDE threat model - trust boundaries, data flows, entry points, assets, and prioritized threats with mitigations. Use for /threatmap, architecture security reviews, or "what could go wrong?" planning.
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
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.
/stale
Stale
Find concept pages nobody has touched
/tags
Tags
Audit the tag vocabulary
/timeline
Timeline
How my sources developed over time
/trace
Trace
Show which pages an answer used
/typed-links
Typed links
Add relation types where they matter
/weekly
Weekly
The weekly review
/build
Build
Implement an approved plan or issue in its own worktree, run the gate, open the pull request.
/close-out
Close out
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.
/handoff
Handoff
Write the repository handoff file for the next session, and record any durable learning.
/land
Land
Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.
/plan
Plan
Turn a topic or issue into a plan the reviewer approves in the native plan pane.
/research
Research
Answer a research question with parallel read-only gatherers and one synthesized digest.
/review
Review
Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.
/ia-refine-prompt
ia-refine-prompt
Transform a vague prompt into precise, structured AI instructions
/build
Build
Implement an approved plan or issue in its own worktree, run the gate, open the pull request.
/close-out
Close out
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.
/handoff
Handoff
Write the repository handoff file for the next session, and record any durable learning.
/land
Land
Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.
/plan
Plan
Turn a topic or issue into a plan the reviewer approves in the native plan pane.
/research
Research
Answer a research question with parallel read-only gatherers and one synthesized digest.
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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