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.
/bug-fix
Bug fix
Systematic workflow for fixing bugs including issue creation, branch management, and PR submission
/bulk-import-issues
Bulk import issues
Bulk import GitHub issues to Linear
/business-scenario-explorer
Business scenario explorer
Explore multiple business timeline scenarios with constraint validation and decision optimization.
/changelog-demo-command
Changelog demo command
Demo changelog automation features
/check-file
Check file
Perform comprehensive analysis of $ARGUMENTS to identify code quality issues, security vulnerabilities, and optimization opportunities.
/check
Check
Run project checks and fix any errors without committing
/ci-setup
Ci setup
Setup continuous integration pipeline
/clean-branches
Clean branches
Clean up merged and stale git branches
/clean
Clean
Fix all linting and formatting issues across the codebase
/code-permutation-tester
Code permutation tester
Test multiple code variations through simulation before implementation with quality gates and performance prediction.
/code-review
Code review
Perform comprehensive code quality review
/code-to-task
Code to task
Convert code analysis to Linear tasks
/code_analysis
Code analysis
Perform comprehensive code analysis with quality metrics and recommendations
/commit-fast
Commit fast
Automatically create and execute a git commit using the first suggested commit message
/commit
Commit
Create well-formatted git commits with conventional commit messages and emoji
/constraint-modeler
Constraint modeler
Model world constraints with assumption validation, dependency mapping, and scenario boundary definition.
/containerize-application
Containerize application
Containerize application for deployment
/context-prime
Context prime
Load project context by reading README.md and exploring relevant project files
/create-architecture-documentation
Create architecture documentation
Generate comprehensive architecture documentation
/create-command
Create command
Create a new command following existing patterns and organizational structure
Okou connects to the tools your team already uses and does the work — across marketing, sales, engineering, and operations, under your control.
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