LLM Mart Basic
@llm-mart · Joined Jun 2026
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Visual philosophy and art-direction for frontend. Use when creating high-concept work, campaigns, or when the user asks for a visual philosophy, manifesto, or unmistakable art-like aesthetic.
Design — spatial composition
Mechanical implementation invariants for frontend design: token architecture, typography hierarchy, loading order, FOUT prevention, chrome stability, motion timing, color semantics. Use with design when building components, pages, or design systems. (Aesthetic direction lives in.
Use when building high-agency frontend interfaces with strict design taste, calibrated color, responsive layout, and motion rules.
Direction and intent for frontend design. Use with design when defining purpose, tone, domain, color world, and review bar; includes cross-domain lens from cinema, architecture, marketing, UX, automotive, industrial design.
Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen usability audit by a separate fresh-eyes judge. The measurement layer taste-only d
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
When the user wants to do developer advocacy activities including conference talks, live coding, podcasts, and building in public. Trigger phrases include "developer advocacy," "devrel," "conference talk," "CFP," "call for papers," "live coding," "podcast," "building in public,".
When the user wants to understand, reduce, or recover from developer churn. Trigger phrases include "why developers leave," "churn rate," "win-back campaign," "at-risk users," "developer retention," "preventing churn," or "competitor switching."
DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.
Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.
Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks.
Review generated or changed documentation before it ships, including READMEs, API references, docstrings, changelogs, tutorials, and documentation sites.
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
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.
Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.
/inspect
Inspect
`crabbox inspect` prints the full record for a single lease: state, provider,
/job
Job
Run named, repo-local jobs defined in your Crabbox config.
/list
List
`crabbox list` shows the current Crabbox machines (leases) for a provider. It is
/login
Login
`crabbox login` authenticates the CLI against a coordinator, stores the
/logout
Logout
`crabbox logout` clears the stored broker token from your user config so the CLI
/logs
Logs
`crabbox logs` prints the retained command output for a recorded run.
/marketplace
Marketplace
`crabbox marketplace` previews the Crabbox credits gateway: one Crabbox billing
/media
Media
`crabbox media` turns a recorded desktop video into lightweight review
/open
Open
`crabbox open` prepares an existing SSH-capable lease for an external editor.
/pause
Pause
`crabbox pause` pauses a single lease, freeing the remote compute while
/pond
Pond
`crabbox pond` is the cross-provider peer-discovery and lifecycle surface for a
/pool
Pool
`crabbox pool` contains machine-pool helpers. `pool list` keeps the older
/ports
Ports
`crabbox ports` bridges provider-native port publishing for an existing Crabbox
/prewarm
Prewarm
`crabbox prewarm` leases a reusable box and prepares it for test runs. For
/providers
Providers
`crabbox providers` prints the provider capability matrix that the CLI compiles
/receipt
Receipt
`crabbox receipt <run-id>` retrieves a brokered run's committed terminal
/results
Results
`crabbox results` prints the structured test summary attached to a recorded
/resume
Resume
`crabbox resume` resumes a lease previously paused with [`pause`](pause.md),
/run
Run
`crabbox run` syncs the current dirty checkout to a box, runs a command there,
/screenshot
Screenshot
`crabbox screenshot` captures a single PNG from a desktop lease without opening a
Make any song you can imagine
38 views 0 likesLeading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars
37 views 0 likesHermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research
36 views 0 likesKilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster
33 views 0 likesGeneral-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…
18 views 0 likesAutonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
19 views 0 likesTSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目
14 views 0 likesCurated, verified Agent Skills powered by ModelStudio.
17 views 0 likesRun Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…
16 views 0 likespi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…
13 views 0 likesA persistent workspace for development work that self-improves and continues beyond one session.
32 views 0 likesOpen-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
19 views 0 likes📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…
28 views 0 likesDeterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
30 views 0 likesDeterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…
19 views 0 likesNative Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…
31 views 0 likesAgent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
14 views 0 likesGit for agent memory. Branches, diffs, PRs, and rollback for what your agents know.
31 views 0 likesMulti-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…
15 views 0 likesProduction-grade MCP server for MikroTik RouterOS with secure AI-native network automation.
27 views 0 likes