LLM Mart Basic

Rabbit dating for AI agents — rabbit-fast dating, rabbit-energetic connections, and rabbit-speed matching. Quick swipes, fast matches, rapid conversations. Dating rabbit-paced on inbed.ai. 兔子约会。Citas de conejo.

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.

A green PR, a controller reporting success, and not one line of the new code running

Analyze git diffs or staged changes and generate conventional commit messages that explain WHY a change was made. Supports auto-detecting type and scope, intelligent file staging, and interactive overrides. Use when asked to "write a commit message", "generate a commit", "describe my changes", "commit this", "summarize my diff", or "/commit".

SOC 2 compliance for Terraform — gap analysis, control implementation, evidence collection, and remediation guidance mapped to SOC 2 Trust Services Criteria.

Generate, review, secure, and test composite GitHub Actions following best practices — full repo scaffold, interview-driven generation, PR creation on existing repos, SHA pinning, secrets-as-inputs, job summaries, and actionlint validation.

Set up and troubleshoot Datadog — Agent deployment on Kubernetes, APM instrumentation, Log Management, Monitors, Dashboards, SLOs, Synthetic tests, and live incident investigation using the Datadog MCP server. Covers Terraform-managed Datadog resources.

Structured platform troubleshooting — classifies the problem layer, collects evidence, forms a root-cause hypothesis, and proposes a fix with validation and rollback steps.

Generate, format, and validate code documentation — docstrings, JSDoc, OpenAPI/Swagger specs, documentation sites, and developer guides.

Measure, benchmark, instrument, and debug DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, MTTR) for production engineering teams. Covers GitHub Actions instrumentation, Prometheus recording rules, Grafana dashboards, incident source integration, SaaS tool selection, and anti-pattern detection. Use when asked to "instrument DORA metrics", "benchmark our deployment frequency", "why is my MTTR data missing", or "generate a DORA dashboard".

Deploy and configure Dynatrace — OneAgent Kubernetes Operator, code-level instrumentation, Log Monitoring, custom metrics, SLOs, Dashboards, anomaly detection, Davis AI, and live incident investigation using the Dynatrace MCP server. Covers Terraform-managed Dynatrace resources.

FluxCD entry point — routes to the right workflow based on what you need. Live cluster issue → structured 5-workflow debug trace. Repo health check → 6-phase audit (discovery, validation, API compliance, best practices, security). Helm chart review → helmchart. Starts by asking one question to confirm the right mode.

Design, review, secure, and debug GitHub Actions workflows — reusable workflows, OIDC federation, SHA pinning, token scoping, promotion orchestration, and CI failure diagnosis.

Flux CD and Argo CD — two modes. debug: five structured debug workflows for live clusters (installation, source, HelmRelease, Kustomization, ResourceSet) producing a five-section report. audit: six-phase read-only repo analysis (discovery, validation, API compliance, best practices, security) producing a prioritised Critical/Warning/Info report.

Scaffold, lint, review, security-audit, test, and upgrade-verify Helm charts. Runs an interactive interview to build production-ready charts from scratch. Covers chart structure, values design, schema validation, kubeconform, helm diff, and multi-environment scaffolding. Use when asked to "create a helm chart", "lint my chart", "review my helm chart", "check helm security", "generate values schema", "run helm diff", or "add helm tests".

Design, install, debug, review, plan capacity, audit scaling history, migrate from Cluster Autoscaler, and upgrade Karpenter v1.x on EKS. Covers NodePool, EC2NodeClass, NodeClaim, Spot diversity, disruption strategy, Pod Identity/IRSA, interruption queue, private clusters, AMI rotation, and GitOps integration. Use when asked to "set up Karpenter", "debug why nodes aren't provisioning", "review my NodePool", "what would Karpenter provision for this workload", "why did this node terminate", "migrate from CA", or "upgrade Karpenter".

Design, debug, and review KEDA ScaledObject/ScaledJob autoscaling. Covers all major scalers (Prometheus, SQS, Kafka, Redis, Cron, HTTP Add-on, Azure Service Bus), TriggerAuthentication, scaling lifecycle tuning, GitOps integration, and troubleshooting. Use when asked to "add KEDA autoscaling", "debug why my ScaledObject isn't scaling", "review my KEDA config", or "generate a ScaledObject for <trigger>".

Find, live-validate, map the blast radius of, and revoke leaked secrets with Kingfisher (MongoDB) — across a local repo, Git history, a GitHub/GitLab/Bitbucket org, S3/GCS, Docker images, Slack, Jira, Confluence, Teams, or Postman. Covers local CLI scanning, direct validate/revoke without a scan, baseline management (track only new secrets), kingfisher.yaml policy, CI diff-scan gates, and pre-commit/Husky hooks. Use when asked to "scan for secrets", "is this key still live", "what can this credential reach", "revoke this token", "did we leak a secret", or "block new secrets in CI". Pattern-only secret scan bundled with a CVE pass → /platform-skills:trivy. Secrets-context safety in workflow YAML → /platform-skills:zizmor. Storing/rotating secrets inside the cluster → /platform-skills:secrets.

Cluster baseline scaffolding, RBAC diagnosis and generation, workload hardening, and structured pod/scheduling debug for plain Kubernetes across all distributions.

Generate, test, audit, debug, and migrate Kyverno policies using the new CEL-based policy types (ValidatingPolicy, MutatingPolicy, GeneratingPolicy, ImageValidatingPolicy — all apiVersion policies.kyverno.io/v1). Covers matchConstraints, matchConditions, CEL validations/mutations, generator.Apply(), Audit→Deny promotion, PolicyException, kyverno-cli testing, and migration from legacy ClusterPolicy or PodSecurityPolicy. Use when asked to "write a Kyverno policy", "test a ValidatingPolicy", "audit my cluster for violations", "why is my policy not firing", or "migrate from ClusterPolicy".

Linkerd-specific diagnostics — mTLS verification, proxy injection issues, authorization policy debugging, traffic management, and multi-cluster connectivity problems.

Linux administration and networking diagnostics — DNS, load balancing, VPCs, kernel tuning, and connectivity troubleshooting.

MCP server and client development — scaffold, implement tools/resources/prompts, validate schemas, debug protocol compliance, and deploy with auth and rate limiting.

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.