LLM Mart Basic

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.

Format, lint and commit with a conventional message on a kit-named branch

Resync external skill submodules to latest upstream versions

Scaffold a Solana project (Anchor, fullstack, frontend, Pinocchio) with the kit

Set up GitHub Actions CI for Solana programs: lint, build, test, audit

Configure MCP server API keys in .env and add the optional MCP servers

Run tests, auto-fix fmt and lint, and fix failures until green or stuck

Run C# tests: Unity Test Framework in batchmode, or dotnet test

Run Rust tests for programs (LiteSVM, Mollusk, Surfpool, Trident) and backends

Run TypeScript tests for programs (Anchor TS, Kit) and dApp frontends

Update solana-ai-kit to latest version from upstream

Write docs for a Solana program, SDK or component from its code and IDL

Allow all file creation (short for /ar:allow)

Set AutoFile policy to allow-all mode (full file creation permissions)

Set AutoFile policy to justify-create mode (require justification for new files)

Set AutoFile policy to strict-search mode (only modify existing files)

Show current AutoFile policy and settings

Allow all file creation - full permission to create and modify files

Start autoproc - procedural autonomous workflow (legacy command)

Start autorun - autonomous task execution (legacy command)

Show active session-level pattern blocks and allows

PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…

An AI Agent that lives in your pocket. Local-first and privacy focused.

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

Adaptive Test-time Learning and Autonomous Specialization

Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests

Knowledge Management for Humans and Agents

Open-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs…

DeepAgent Code: AI coding agent with persistent memory and control plane

Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.

CLI for Telegram — agent-friendly, daemon-based, with webhook event push.

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-r…

Event-stream AI Agent framework for building your persona bot 🍊

Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops t…

Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.

Open-source AI reverse-engineering agent platform and MCP server for Ghidra, Frida, x64dbg and Rizin — automated PE/APK/binary analysis, CTF and malware researc…

"Never send a human to do a machine's job" - Open Source AI hacking agent

Prismer Cloud

My Personal Blog (Robotics)

Tau Coding Agent - like Pi, but twice as much

Open-source alternative to OpenAI Dots: self-hosted AI chat, tools, approvals, connectors, and computer tasks.