LLM Mart Basic
@llm-mart · Joined Jun 2026
Data analysis and reference enrichment.
Maximize information density: preserve all instructions, remove prose filler.
Generate headlines, titles, and subject lines: charge, volume, tighten.
FFmpeg-based video creation from image and audio.
Plan multi-part content series: structure, cross-linking, cadence.
Generate blog topic ideas: problem mining, gap analysis, expansion.
Writing: voice creation and validation, prose editing, anti-AI cleanup, professional communication, translation.
Domain-specific: SAP Commerce, OpenSearch detection, WordPress validation, enterprise search.
Design a CLI interface: args, flags, help, output, errors, exit codes, config.
Frontend: UI design, distinctive visual styles, HTML artifacts, Three.js 3D.
CPU-only motion data processing pipeline for game animation: BVH import, contact detection, root decomposition, motion blending, FABRIK IK. No GPU required.
Jev-driven browser automation: Jev picks operations, programs execute, a text model writes field values only when Jev cannot pick one from the goal.
Audit CVE/vulnerability source coverage for a technology stack. Maps each component (container, library, base image, runtime) to authoritative CVE feeds, flags gaps, and produces audit-ready reports. Generic: works for any service or stack.
Kubernetes operations: debugging, security, RBAC, and infrastructure tooling.
GitHub: notification triage, profile rule extraction.
Write, compose, integrate, and improve programs that call Jev, TypeSafe's System One judgment model.
Run benchmark-selected GPT-5.6 work through the Codex CLI.
Jev request router: validates the requested outcome, then dispatches to the matched agent, skill, and pipeline.
Toolkit management: create and evaluate skills and agents, manage routing tables, generate Claude.md.
Debugging: guided diagnosis of application bugs, and post-mortem of failed agent sessions.
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.
/proposal
Proposal
Create a multi-page funding proposal with your organization's branding
/report
Report
Create a program report or annual report with your organization's branding
/slides
Slides
Create HTML presentation slides with your organization's branding
/update
Update
Check for updates and install the latest version
/hotpatch
Hotpatch
Sandboxed pre-install scan plus cooldown bypass for urgent npm/bun installs. Use when a package must ship despite the cooldown.
/diff-review
Diff review
Generate a visual HTML diff review, before/after architecture comparison with code review analysis
/fact-check
Fact check
Verify the factual accuracy of a document against the actual codebase, correct inaccuracies in place
/generate-slides
Generate slides
Generate a stunning magazine-quality slide deck as a self-contained HTML page
/generate-visual-plan
Generate visual plan
Generate a visual HTML implementation plan, detailed feature specification with state machines, code snippets, and edge cases
/generate-web-diagram
Generate web diagram
Generate a beautiful standalone HTML diagram and open it in the browser
/plan-review
Plan review
Generate a visual HTML plan review, current codebase state vs. proposed implementation plan
/project-recap
Project recap
Generate a visual HTML project recap, rebuild mental model of a project's current state, recent decisions, and cognitive debt hotspots
/share-page
Share page
Deploy a generated visual-explainer HTML page and return a live Vercel URL
/methodology
methodology
View your cognitive methodology profile and reasoning patterns
/preflight
preflight
Diagnostique l'environnement Cortex et guide la réparation (DB, extensions, modèles)
/why
why
Resolve the ⟦rcpt:id⟧ injection markers in context into presence-in-context evidence (blame path)
/commit
Commit
Please summarize your current changes, generate a commit message in English, then add and commit.
/tag
Tag
Create an annotated git tag with an auto-generated summary of changes since the last tag.
/delegate-review
Delegate review
Run OCR in delegation mode — OCR handles file selection and rules, the host agent performs the actual review.
/review
Review
Run OpenCodeReview (OCR) to review code changes and autonomously apply fixes.
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12 views 0 likesGive your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.
11 views 0 likesReal-world AI penetration testing engineer for authorized assessments — built-in cloud module covering AWS/Azure/GCP + Aliyun/Tencent/Huawei clouds. Built on Cl…
12 views 0 likesOpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.
11 views 0 likesTinybot is a lightweight personal AI Agent that is constantly evolving
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13 views 0 likesPluggable DeepSeek-colored TUI for DeepSeek Harness
7 views 0 likesEntity-level git merge driver. Resolves false conflicts git invents when independent agents edit the same file. ~95% reduction vs. line-based merge.
16 views 0 likesPercho: Minimalist desktop GUI for the Pi coding agent — the same engine as the Pi CLI, in a clean visual interface. Multi-session chat, visual tool approvals,…
12 views 0 likesRun Claude Code, Codex & Gemini in parallel on Windows & macOS — git worktree fan-out with atomic hunk adoption, approval gates, reboot-surviving sessions
23 views 0 likesA hierarchical memory framework for personalized presentation agents. Try it at memslides.com.
17 views 0 likesReal-time multimodal desktop agent evolving toward a persistent AI OS interface (0.1 α).
16 views 0 likesclawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when need…
18 views 0 likesRepeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cro…
23 views 0 likes