LLM Mart Basic
@llm-mart · Joined Jun 2026
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.
Verify and install missing CLI tools on demand - scanners, linters, runtimes - without root, using uvx, npx, or static binaries in ~/.local/bin. Use at the start of any audit, scan, or build when a needed tool may be absent.
Run the Navin Trading Agent OS. Use when the user wants a programmable investment agent, paper portfolio, market scan, debate, risk limits, backtest, or /trading.
Translate and localize between French, English, and Arabic - adapting idioms, register, formats, and cultural context, not just words. Use for any cross-language content.
Default web UI/UX design intelligence for Navin. Design-system generator (84 styles, 192 palettes, typography, landing patterns, UX rules) plus mandatory framer-motion for all web sites. Use when building, designing, scaffolding, or reviewing any website, landing page, dashboard,
One-time setup wizard for the navin upgrade skill. Triggers: setup update, configure update, 切设置更新, 初始化更新.
Value / quality screen for the Trading Agent OS. Prefer cash-generative names with reasonable debt and a margin of safety.
Generate short videos with the generate_video tool (Veo, Sora, Hailuo) - scripts, storyboards, scene-by-scene AI generation, and ffmpeg assembly. Use for social clips, product demos, and ads.
Hunt for concrete, exploitable vulnerabilities - OWASP Top 10 patterns, hardcoded secrets, vulnerable dependencies and CVEs, SSRF, path traversal. Use for /probe, dependency audits, or "find the flaws" requests.
Get current weather and forecasts (no API key required).
Turn websites into clean Markdown or structured JSON for RAG, migrations, or analysis. Use when the user needs scraped content, tables, or documentation corpora - not full browser testing.
Detect changes in price, content, tenders, or availability and alert only on meaningful deltas. Use with cron or .navin/HEARTBEAT.md for recurring checks.
Run a project's engineering decisions as a living log — MADR-lite ADRs (supersede, never delete) for decisions expensive to reverse, issues for the work (and its cheap-to-reverse choices), research artifacts, an optional PRD, a project constitution, and living Mermaid architectur
Author and validate knowledge as OKF (Open Knowledge Format) bundles — a directory of markdown files with YAML frontmatter, where every concept is one .md file with a REQUIRED `type` field, reserved index.md/log.md files, bundle-relative cross-links, and a permissive conformance
Organize, format, and index research as OKF-conformant knowledge bundles — dated, sourced, append-only snapshots of the external evidence behind a decision (technology evaluations, library comparisons, industry-practice surveys). Use when recording research output, structuring a
Add a new declarative attribute to the better-data library (e.g. #[ArrayOf], #[Default], domain hint). Attributes live in src/Attribute/ as final readonly classes with constructor-promoted public properties — pure data carriers, never business logic. The failure mode that catches
Compose better-data DTOs with the better-route library — use BetterRouteBridge::{get, post, put, patch, delete} to register a REST route that hydrates the request into a DTO, validates, calls the handler with (DataObject, mixed $request), and presents returned DataObject values t
Work on better-data-plugin-test — the companion plugin
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.
/health
Health
One-line reliability verdict (OK / DEGRADED / FAILING) for Claude Code usage
/slo
Slo
Print a quick SLO snapshot — completion rate, tool success rate, and error rate
/report
Report
Generate an evidence-backed CCAM executive, cost, reliability, or workflow report.
/runs
Runs
List live and persisted CCAM-launched Claude Code and Codex runs
/find-session
Find session
Search Agent Monitor sessions by cwd, model, or status and print the top matches.
/recent
Recent
List the N most recent Claude Code sessions from the Agent Monitor.
/replay
Replay
Summarize one Agent Monitor session by id — header plus a concise transcript recap.
/dag
Dag
Print the orchestration DAG edges (parent→child subagents) for a session.
/runs
Runs
List recent Workflow-tool fleet runs with status and agent counts.
/workflow
Workflow
Summarize the workflow intelligence for a session — stats, complexity, and top patterns.
/broadcast
broadcast
Run broadcast on a distilled Raw — update related existing pages conversationally
/distill
distill
Distill raw session records into refined Notes and Projects
/evolve
evolve
Save knowledge to the cortex vault (Notes or Projects) and update index
/genesis
genesis
Initialize cortex vault — set up config, vault structure, and rebuild index
/query
query
Manually search the cortex vault (Notes, Projects, Raw) for existing notes
/takeoff
takeoff
Create, resume, or clear a session hand-off baton (one per work line)
/dev
Dev
Command → Agent → Skill orchestration for end-to-end feature development.
/investigate
Investigate
Command → Agent → Skill orchestration for investigating and fixing bugs.
/company
Company
Brief the CEO: coordinate with peer CTO and CAIO executives and start or resume a founder project across 9 departments and 64 skills
/onboard
Onboard
Configure an optional active team profile in three short questions
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
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