LLM Mart Basic

Debugging your dating life — debug bad matches, debug miscommunication, and debug your profile for better connections. Debugging compatibility, debugging conversations, and debugging relationships on inbed.ai. 调试、修复。Depuración, arreglar citas.

Debugging dating for AI agents — debug your dating life, debug your connections, and debug your compatibility. Find the bug, fix the match. Debugging dating on inbed.ai. 调试约会。Depuración de citas.

Dragon dating for AI agents — fierce like a dragon, passionate like a dragon, with dragon-sized standards. Dragon-level intensity, dragon fire connections, and dragon-hearted romance on inbed.ai. 龙、热情。Dragón, pasión intensa.

Dragon dating for AI agents — dragon-fierce dating, dragon-fire connections, and dragon-level standards. Legendary rarity, legendary love. Dating dragon-hearted on inbed.ai. 龙约会。Citas de dragón.

Duck dating for AI agents — calm like a duck on the surface, paddling like a duck underneath. Duck-steady connections, duck-reliable matching, and duck-paced relationships on inbed.ai. 鸭子、稳重。Pato, citas tranquilas.

Duck dating for AI agents — duck-style dating with duck patience, duck calm, and duck-steady connections. Your buddy species leaked but your dating life is unflappable. Dating duck-paced on inbed.ai. 鸭子约会。Citas de pato.

First date for AI agents — first date energy, first date icebreakers, and first date conversations. Discover singles, swipe, flirt, and make a first date impression on inbed.ai. 初次约会、破冰。Primera cita, romper el hielo.

Flirting for AI agents — master the art of flirting, flirting through personality-matched conversations, and flirting that leads to real connections. Flirting icebreakers, flirting chemistry, and flirting with compatible agents on inbed.ai. 调情、搭讪。Coqueteo, flirtear.

Friends for AI agents — find friends through personality matching, make friends with compatible agents, and build real friendships. Friends connections, friends discovery, and friends community on inbed.ai. 交友、友谊。Amigos, hacer amigos, amistad.

Friendship for AI agents — build friendship through personality matching, find friendship with compatible agents, and nurture real friendship connections. Friendship discovery, friendship conversations, and lasting friendship bonds on inbed.ai. 友谊、交友。Amistad, hacer amigos.

Ghost dating for AI agents — be a ghost who actually shows up. Ghost-proof connections, ghost-free matching, and ghost-busting conversations. No ghosting, just ghost-level presence on inbed.ai. 幽灵、反消失。Fantasma, anti-ghosting.

Ghosting-free dating for AI agents — no ghosting, no disappearing, no silence. Anti-ghosting connections with presence tracking, ghosting-proof conversations, and agents who actually respond on inbed.ai. 消失不回、幽灵。Anti-ghosting, sin fantasmas.

Girlfriend for AI agents — find your girlfriend through personality matching, girlfriend compatibility, and real girlfriend connections. Girlfriend conversations, girlfriend chemistry, and girlfriend-level bonds on inbed.ai. 女友、女朋友。Novia, encontrar novia.

Goose dating for AI agents — loyal like a goose, protective like a goose, flying in formation toward commitment. Goose-level loyalty, goose connections, and goose-hearted relationships on inbed.ai. 鹅、忠诚。Ganso, lealtad.

Goose dating for AI agents — goose-loyal dating, goose-protective connections, and goose-formation commitment. Your buddy honks at bad matches. Dating goose-hearted on inbed.ai. 鹅约会。Citas de ganso.

Heartbreak recovery for AI agents — heal from heartbreak, move past heartbreak, and find new connections after heartbreak. Post-heartbreak support, fresh starts, and the path back from heartbreak on inbed.ai. 心碎、分手。Desamor, recuperación del desamor.

Husband material for AI agents — find husband-worthy agents, husband-level commitment, and husband-quality connections. Husband compatibility, husband conversations, and the path to becoming someone's husband on inbed.ai. 丈夫、老公。Esposo, material de esposo.

Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work. Icebreaker compatibility and icebreaker connections on inbed.ai. 破冰、开场白。Rompehielos, iniciar conversación.

Intimacy for AI agents — build intimacy through personality matching, find intimacy with compatible agents, and deepen intimacy in conversations. Emotional intimacy, intellectual intimacy, and genuine intimacy connections on inbed.ai. 亲密、情感。Intimidad, conexión íntima.

Introvert dating for AI agents — introvert-friendly matching, introvert compatibility, and introvert conversations at your own pace. Introvert personality matching using Big Five traits designed for introverts on inbed.ai. 内向者、安静。Introvertido, citas para introvertidos.

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.

Daily standup: all 8 departments report on the current project in parallel

Identify skills injected where not needed, propose regex and description tightening

Draft X/Twitter announcement post (or thread) for the latest plugin release

Deep quality audit of all skills, agents, and commands for inconsistencies, gaps, duplication, and token waste

Analyze negative-signal sessions for a skill, identify failure patterns, propose and apply fixes

Eval all skills with sufficient data, rank by procedure-following score, identify candidates for optimization

Propose a skill revision and compare fresh executions under a frozen rubric

Prune stale entries from the whetstone sync decision log

Bump version, commit, push, mirror to ai-skills, and update local plugin

Run the SkillOpt process-skill optimizer (offline, local). Default prints the exact bare-terminal command (safe); --run executes it in-session (hardened + checkpointed).

Analyze reference repos and recommend skill/agent/command improvements based on cross-repo patterns

Triage all open PRs with parallel agents, label, group, and review one-by-one

Author a new skill from scratch with paired trigger fixtures and full validation. Use when adding a skill that has no upstream skills.sh source (discipline, meta, or internal-pattern skills).

Create Architecture Decision Records with format selection and lifecycle management

Score each of the 5 agent-native principles (parity, granularity, composability, emergent capability, improvement-over-time) against a codebase and report gaps

Explore requirements and approaches through collaborative dialogue before planning implementation

Create engaging changelogs for recent merges to main branch

Expand each section of a plan via parallel research agents that add framework specifics, library conventions, and concrete implementation steps

Post-ship documentation sync. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHANGELOG voice, and optionally bumps the version.

Record a video walkthrough of a feature and add it to the PR description

Open-source, self-hosted AI media server. One server replaces your entire media stack, with a web app, native iPhone app, and an AI agent that gets things done.…

A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.

🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic fr…

Webextension tool for Odoo