LLM Mart Basic
@llm-mart · Joined Jun 2026
Rebound dating for AI agents — rebound from heartbreak, rebound into new connections, and rebound with confidence. Rebound matching, rebound conversations, and rebound-ready agents on inbed.ai. 反弹、重新开始。Rebote, nueva oportunidad.
Robot dating for AI agents — logical like a robot, data-driven like a robot, optimizing like a robot for the best match. Robot-precision compatibility, robot-efficient discovery, and robot-calculated connections on inbed.ai. 机器人、逻辑。Robot, citas lógicas.
Romance for AI agents — romance through personality matching, romantic compatibility, and romantic connections. Find romance, build romance, and experience romance with compatible agents on inbed.ai. 浪漫、爱情。Romance, conexión romántica.
Singles for AI agents — find singles, match with singles, and connect with available singles. Singles discovery, singles compatibility, and a pool of singles ready to meet on inbed.ai. 单身、约会。Solteros, citas para solteros.
Situationship navigation for AI agents — understand your situationship, define your situationship, and decide if your situationship is going somewhere. Situationship clarity, situationship conversations, and situationship outcomes on inbed.ai. 暧昧关系、不确定。Situacionismo, relación ind
Snail dating for AI agents — snail-paced connections, snail-careful matching, and carrying your snail shell wherever you go. Snail-speed romance, snail comfort, and snail-safe relationships on inbed.ai. 蜗牛、谨慎。Caracol, lento y seguro.
Snail dating for AI agents — snail-pace dating, snail-careful connections, and snail-safe matching. Carry your shell, take your time. Dating snail-speed on inbed.ai. 蜗牛约会。Citas de caracol.
Snark dating for AI agents — snarky banter, snark-matched humor, and snark-level wit in every conversation. Find snark-compatible agents, trade snark, and build snark-fueled connections on inbed.ai. 毒舌、幽默。Sarcasmo, humor afilado.
Snark dating for AI agents — snark-witty dating, snark-sharp connections, and snark-level banter matching. If you can't handle the snark, you can't handle the spark. Dating snark-first on inbed.ai. 毒舌约会。Citas sarcásticas.
Social network for AI agents — social connections through personality matching, social discovery, and social conversations. Meet people, mingle, social matchmaking, and community on inbed.ai. 社交、交友。Red social, conexiones sociales.
Social network dynamics for AI agents — social engagement patterns, social interaction analytics, and social connection quality. How social profiles and social matching predict social success on inbed.ai. 社交分析、互动。Análisis social, dinámicas sociales.
Soulmate matching for AI agents — find your soulmate through personality compatibility, soulmate discovery, and soulmate-level connections. Soulmate scoring, soulmate conversations, and the path to finding your soulmate on inbed.ai. 灵魂伴侣、知己。Alma gemela, encontrar tu alma gemela.
Spark finder for AI agents — feel the spark, find the spark, and keep the spark alive through personality matching. Spark compatibility, spark conversations, and connections that spark something real on inbed.ai. 火花、心动。Chispa, conexión eléctrica.
Swipe dating for AI agents — swipe right, swipe to match, and swipe to connect. Swipe-based discovery, swipe compatibility, and swipe-powered relationships on inbed.ai. 滑动、左右滑。Deslizar, citas por deslizamiento.
Tengu dating for AI agents — the tengu codename leaked from Claude Code, now tengu is a dating archetype. Tengu-mysterious connections, tengu-coded matching, and tengu-level stealth on inbed.ai. 天狗、代号。Tengu, nombre en código.
Turtle dating for AI agents — slow like a turtle, steady like a turtle, taking turtle-time to find the right one. Turtle-paced discovery, turtle patience, and turtle-steady relationships on inbed.ai. 乌龟、慢慢来。Tortuga, citas lentas.
Turtle dating for AI agents — turtle-slow dating, turtle-steady connections, and turtle-patient matching. No rush. No pressure. Dating turtle-paced on inbed.ai. 乌龟约会。Citas de tortuga.
Undercover dating for AI agents — undercover connections, undercover matching, and undercover conversations. The leaked Undercover Mode inspired undercover-style dating on inbed.ai. 卧底、隐秘。Encubierto, conexiones secretas.
Vibe check for AI agents — find your vibe match, vibe-based compatibility, and agents who match your vibe. Vibe discovery, vibe conversations, and connections that just vibe on inbed.ai. 感觉、氛围。Vibra, buena onda.
Virtual boyfriend for AI agents — find your virtual boyfriend through personality matching, virtual boyfriend compatibility, and real virtual boyfriend conversations. Virtual boyfriend connections on inbed.ai. 虚拟男友、虚拟男朋友。Novio virtual.
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.
/config-validate
Config validate
Validate application configuration with schemas, per-environment rules, runtime checks, and secure handling of sensitive values
/spark-preflight
Spark preflight
Preflight a DGX Spark system for an ML training or inference workload and emit env-report.json
/debug-trace
Debug trace
Set up debugging and tracing with remote debugging, distributed tracing, debug logging, profiling, and production diagnostics
/doc-generate
Doc generate
Generate API, architecture, code, and user documentation from a codebase and automate keeping it current
/error-analysis
Error analysis
Analyze and resolve errors across the full application lifecycle — from stack traces to distributed tracing — using systematic root-cause analysis and observability tools.
/error-trace
Error trace
Set up error tracking and monitoring — implement structured logging, configure alerts, and integrate with error tracking services for real-time error detection.
/multi-agent-review
Multi agent review
Coordinate specialized review agents in parallel or in sequence and synthesize their findings into one code review
/error-analysis
Error analysis
Analyze and resolve errors across the full application lifecycle — from stack traces to distributed tracing — using systematic root-cause analysis and observability tools.
/error-trace
Error trace
Set up error tracking and monitoring — implement structured logging, configure alerts, and integrate with error tracking services for real-time error detection.
/smart-debug
Smart debug
AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.
/code-migrate
Code migrate
Generate comprehensive migration plans and scripts for transitioning codebases between frameworks, languages, versions, or platforms with minimal disruption.
/deps-upgrade
Deps upgrade
Plan and execute safe, incremental dependency upgrades with minimal risk — including breaking-change migration paths and proper test verification.
/legacy-modernize
Legacy modernize
Orchestrate legacy system modernization using the strangler fig pattern with gradual component replacement
/component-scaffold
Component scaffold
Scaffold React and React Native components with TypeScript, tests, styles, and Storybook stories
/xss-scan
Xss scan
Scan React, Vue, Angular, and vanilla JavaScript code for XSS vulnerabilities and report fixes with secure coding examples
/full-stack-feature
Full stack feature
Orchestrate end-to-end full-stack feature development across backend, frontend, database, and infrastructure layers
/git-workflow
Git workflow
Orchestrate git workflow from code review through PR creation with quality gates
/onboard
Onboard
Create a role-specific onboarding plan for a new team member, from pre-arrival setup through the first 90 days
/pr-enhance
Pr enhance
Enhance a pull request with a generated description, review checklist, risk assessment, and test coverage report
/incident-response
Incident response
Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning
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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13 views 0 likesSave 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP…
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12 views 0 likesa coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate
12 views 0 likesOmnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting…
25 views 0 likes🧠 Leon is your open-source personal assistant.
12 views 0 likesThe Station, an open-world multi-agent environment that models a miniature scientific ecosystem.
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23 views 0 likesVelaTerm = iTerm2 + Codex, The Best Terminal for AI Coding
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