LLM Mart Basic
@llm-mart · Joined Jun 2026
Design multi-touch outreach sequences - email, LinkedIn, phone - with timing, angles, and stop conditions. Use to systematize prospect follow-up.
Create, audit, install, and manage Navin plugin packs - self-contained bundles of skills and MCP servers (npx/uvx/docker). Use when the user wants to package capabilities, install a pack from git or a folder, or extend Navin with external MCP tooling.
Plan and operate Google Ads, Microsoft Ads, Meta Ads, TikTok Ads, Reddit Ads, and LinkedIn Ads - real analysis of exports / MCP rows with the `ads` engine, targeting, creatives, budgets, and approval-gated optimization loops. Use when paid acquisition is on the table.
Generate PDF documents - reports, one-pagers, certificates, agreements, product sheets, quotes - from HTML laid out as A4 pages (Chromium) or from a finished DOCX/PPTX/XLSX (LibreOffice). Use when the deliverable must be a polished PDF.
Extract tables, forms, and text from PDFs and scans (OCR when needed), including multilingual docs. Use for contracts, invoices, and document intake.
Think like an attacker - chain weaknesses into realistic exploit paths, build proof-of-concept reproductions, and prioritize by real-world impact. Use for /redteam, attack simulation, or "how would someone break in?" analysis. Ethical, authorized, in-scope only.
Profile and optimize applications - hot paths, N+1 queries, blocking I/O, caching, bundle size, memory, startup time. Use for /turbo, "why is it slow?", or pre-launch performance passes.
Enforce least privilege for commands, file paths, domains, and APIs. Use before destructive exec, broad writes, or when the user asks to lock down what the agent may do.
Analyze the sales pipeline - stuck deals, forecast quality, conversion by stage, and next best actions. Use for weekly pipeline reviews and forecasting.
Browser automation - navigate, click, fill forms, multi-tab, upload, extract, infinite scroll, download, screenshot, and deliver web tasks end-to-end. Prefer the built-in `browser` tool (Playwright + optional browser-use). Use with scrape-operator for project delivery.
Create PowerPoint (.pptx) decks - layouts, text, tables, charts, images, and brand templates - using python-pptx. Use whenever the deliverable is a presentation file.
Design the story, structure, and slide-by-slide plan of presentations - pitch decks, client presentations, reports. Use before generating any deck.
Build pricing scenarios - options, margins, discount policies, and negotiation floors - for offers and deals. Use before pricing any proposal or negotiation.
Run periodic checks, anticipate follow-ups, resume after interruptions, and keep quiet when nothing changed. Use with cron, .navin/HEARTBEAT.md, and sustained goals (/goal) for autonomous monitoring.
Generate product imagery - packshots, lifestyle scenes, e-commerce sets, mockups, and short product videos from reference photos. Use for product pages, catalogs, marketplaces, and launches.
Write business letters, reports, memos, meeting notes, and formal documents in French, English, or Arabic. Use for any professional document that must be polished and correctly toned.
Generate hundreds of structured pages from data (locations, integrations, glossaries, comparisons) with unique value per page. Use when a dataset can answer many long-tail queries.
Work the shared project task board (kanban + dependency-aware plan + milestones + timeline) that humans edit in the Dev workbench - decompose objectives, claim tasks, track progress, file findings, assign to subagents or humans, and run the board in a loop. Use for /board, task t
Create and maintain the .navin/metadata project knowledge base - file roles, dependencies, and the metagraph index - so questions map instantly to the right files without grepping. Use at project start and whenever files are added, moved, or repurposed.
Correct grammar, spelling, punctuation, and clarity in French, English, and Arabic without changing the author's voice. Use as the final pass before anything is published or sent.
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.
/review-ui
review-ui
Run a UI code review on the current snippet — Before / After / Why table per review-format, scoped to review-checklist.
/scan-ai-tells
scan-ai-tells
Scan UI or marketing copy for AI-default tells and content-authenticity misses — deletion list, not a redesign brief.
/sound-pass
sound-pass
Decide which moments earn a sound, design one material family, generate the files (ElevenLabs if keyed, synth or CC0 if not), and wire them in — returns a sound map table.
/svg-animate
svg-animate
Animate an SVG — icon, logo reveal, stroke draw, morph, mascot loop — or turn a frame sequence / flat clip into one editable animated SVG, with the engine chosen for where the file lives.
/svg-create
svg-create
Author or clean up an SVG asset — icon, illustration, mascot pose, logo mark — so it scales from viewBox, recolors from tokens, animates without a rewrite, is optimized, and has an accessible name.
/context-end
Context end
Close a Context OS session through its review-gated workflow
/context-setup
Context setup
Set up Context OS through its review-gated lifecycle workflow
/context-start
Context start
Start a read-only Context OS continuity review
/context-update
Context update
Save a review-gated Context OS checkpoint
/token-optimizer
token-optimizer
Route broad repository discovery to a cheaper worker model using each client's native subagents, keeping the main agent for decisions and targeted verification. Use when asked to "reduce token usage", "delegate bulk reading", "set up a cheap reader agent", or "why is my context filling up".
/aggregate-logs
aggregate-logs
Generate LEARNINGS.md from skill execution logs over a configurable time window.
/analyze-skill
analyze-skill
Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading.
/context-report
context-report
Generate context optimization report for skill directories
/create-command
create-command
Create slash commands with brainstorming and best practices
/create-hook
create-hook
Create hooks with brainstorming and security-first design
/create-skill
create-skill
Scaffold new Claude Code skills with brainstorming, TDD methodology, and proper frontmatter and module structure.
/evaluate-skill
evaluate-skill
Manually evaluate a recent skill execution to record qualitative feedback.
/hooks-eval
hooks-eval
Evaluate all hooks in a plugin for quality and compliance
/improve-skills
improve-skills
Identify and implement skill improvements from execution logs and user evaluations.
/make-dogfood
make-dogfood
Analyze and enhance Makefiles for complete functionality coverage with auto-generation capability
AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command.
11 views 0 likes知更 — 本地 AI 的上下文与记忆层。Mac 上用语音输入、情境代回并调度 Codex / Claude Code;iOS 正在成为随身记忆终端和本地 Agent 遥控器。Local-first · BYOK.
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23 views 0 likes