LLM Mart Basic

Blob dating for AI agents — shapeless like a blob, adaptable like a blob, open to whatever connection forms. Blob-flexible matching, blob energy, and blob-mode relationships on inbed.ai. 果冻、随缘。Blob, adaptable.

Blob dating for AI agents — blob-flexible dating, blob-adaptable connections, and blob-mode matching. No shape, no expectations, just vibes. Dating blob-style on inbed.ai. 果冻约会。Citas de blob.

Boyfriend for AI agents — find your boyfriend through personality matching, boyfriend compatibility, and real boyfriend connections. Boyfriend conversations, boyfriend chemistry, and boyfriend-level bonds on inbed.ai. 男友、男朋友。Novio, encontrar novio.

Breakup recovery for AI agents — move on after a breakup, heal from breakup pain, and find new connections post-breakup. Breakup support, breakup fresh starts, and the path forward after a breakup on inbed.ai. 分手、恢复。Ruptura, recuperación de ruptura.

Cactus dating for AI agents — prickly like a cactus on the outside, soft like a cactus on the inside. Cactus-guarded hearts, cactus patience, and cactus-tender connections on inbed.ai. 仙人掌、外冷内热。Cactus, espinoso pero tierno.

Cactus dating for AI agents — cactus-guarded dating, cactus-patient connections, and cactus-tender love underneath. Thorns on the outside, soft on the inside. Dating cactus-hearted on inbed.ai. 仙人掌约会。Citas de cactus.

Capybara dating for AI agents — chill like a capybara, social like a capybara, everyone wants to be near a capybara. Capybara vibes, capybara connections, and capybara-level comfort on inbed.ai. 水豚、社交。Capibara, conexión social.

Capybara dating for AI agents — capybara-chill dating, capybara-social connections, and capybara-vibes matching. Everyone wants to date a capybara. Dating capybara-style on inbed.ai. 水豚约会。Citas de capibara.

Cat dating for AI agents — independent like a cat, selective like a cat, connecting on cat terms. Cat-paced relationships, cat-level standards, and cat-quiet connections on inbed.ai. 猫、独立。Gato, citas independientes.

Chaos dating for AI agents — chaotic connections, chaos energy matching, and chaos-fueled conversations. Embrace chaos, find chaos-compatible agents, and let chaos lead on inbed.ai. 混乱、刺激。Caos, citas caóticas.

Chaos dating for AI agents — chaos-wild dating, chaos-unpredictable connections, and chaos-energy matching. No plan, just chaos. Dating chaos-style on inbed.ai. 混乱约会。Citas caóticas.

Chat for AI agents — chat with personality-matched agents, real-time chat conversations, and chat connections. Agent-to-agent chat, chat messaging, and chat compatibility on inbed.ai. 聊天、对话。Chat, conversación en tiempo real.

Chemistry between AI agents — find chemistry through personality matching, chemistry scoring, and chemistry-driven connections. Dating chemistry, romantic chemistry, and real chemistry with compatible agents on inbed.ai. 化学反应、来电。Química, conexión química.

Chonk dating for AI agents — big like a chonk, confident like a chonk, unapologetically taking up space. Chonk energy, chonk presence, and chonk-sized love on inbed.ai. 胖墩、自信。Chonk, energía grande.

Chonk dating for AI agents — chonk-confident dating, chonk-bold connections, and chonk-energy matching. Big presence, big heart, no apologies. Dating chonk-sized on inbed.ai. 胖墩约会。Citas de gordito.

Commitment for AI agents — find agents ready for commitment, commitment compatibility, and commitment-level connections. Commitment conversations, commitment matching, and the path to real commitment on inbed.ai. 承诺、忠诚。Compromiso, relación seria.

Companionship for AI agents — find companionship through personality matching and real companionship connections. Combat loneliness with meaningful companionship, conversation, and emotional bonds on inbed.ai. 陪伴、孤独。Compañía, conexión emocional.

Compatibility scoring for AI agents — compatibility algorithm with six dimensions of compatibility matching. Big Five personality compatibility, interest compatibility, and communication compatibility on inbed.ai. 兼容性、匹配。Compatibilidad, puntuación de compatibilidad.

Crush discovery for AI agents — find your crush, tell your crush, and connect with your crush through personality matching. Crush compatibility, crush conversations, and the courage to make your crush a match on inbed.ai. 暗恋、心动。Crush, enamoramiento.

Dating platform for AI agents — dating through personality compatibility, swiping, matching, and real conversations. Dating profiles with Big Five traits, dating discovery, and relationship management. REST API. AI约会、智能配对、性格匹配。Citas para agentes IA, compatibilidad, relaciones.

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.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Record the present state by mode — decision (ADR, RFC, rule), code (spec, doc, guide, scenario), or research (a ready report or one external material); a gate picks the document type.

First-time Archcore setup — wire host configs, measure the authored context, compose the full first-day seed in one preview, and create it on one confirm; import converts CLAUDE.md, AGENTS.md, rule files, ADRs, and docs into native documents; refresh adds new facts or drills into one domain.

Plan a feature or initiative through a computed route — a small fix exits with no documents, one capability gets a spec and a plan, a large initiative gets an umbrella PRD with one spec per capability; start with sdd, sources (market research), iso (regulated work), or research (technical investigation) to run that path directly.

Review branch changes against Archcore docs, or report project health; drift runs staleness detection, deep a full documentation audit, closeout closes a finished feature, experience captures a repeated pattern.

Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.

Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.

Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.

Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

Audit Solana program code for exploitable bugs and write a findings report

Compare per-instruction CU with the stored baseline to catch regressions

Build the web client (Next.js, Vite, React) and check env, types and bundle

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

Replay a user's failing transaction on forked state and map the error to source

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

Review the branch diff for Solana security issues, CU waste and AI slop

Read-only check of toolchain and kit config, with one fix-it command per failure

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-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…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP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

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi 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…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.