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.
/vet
Vet
Vet the staged change: run the implement-review review loop (short alias)
/learn
Learn
Extract a learning from the recent conversation and add it to the appropriate instruction file
/learn
Learn
Extract a learning from the recent conversation and add it to the appropriate instruction file
/create-pipeline
create-pipeline
Create a new pipeline from a task description. Fans out agent, skill, and hook scaffolding in parallel, then integrates into the routing system.
/d
D
Jev-first router: A/B variant of /do. One TypeSafe call replaces the manifest read; falls back to /do when unavailable or unconfident.
/do
Do
Smart router: classify requests and route to the correct agent + skill
/generate-claudemd
Generate claudemd
Generate project-specific CLAUDE.md from repo analysis.
/github-notifications
Github notifications
Triage GitHub notifications: fetch, classify, report actions needed.
/github-profile-rules
Github profile rules
`github-profile-rules` — extract programming rules and coding conventions from a GitHub user's public profile via API.
/gm-brilliant-implementation
Gm brilliant implementation
Run the complete 34-stage implementation workflow for a large, multi-system, multi-wave, or CPU-delegated 5 Star Booker GM program.
/install
Install
Plan, then apply, the VexJoy Agent install with the vexinstall engine
/pr-review
Pr review
Comprehensive PR review using specialized agents, with automatic retro knowledge capture
/reddit-moderate
Reddit moderate
Reddit moderation: fetch modqueue, classify content, take mod actions
/retro
Retro
Learning system interface: stats, search, graduate learnings. Backed by learning.db (SQLite + FTS5).
/system-upgrade
system-upgrade
Systematic upgrade pipeline for adapting agents, skills, and hooks when Claude Code ships updates, user goals change, or retro learnings accumulate.
/full-equity-research
Full equity research
agentii.full-equity-research — the spec 046 kit command. Use the Skill tool to run agentii:full-equity-research on this workspace.
/synthesize
Synthesize
agentii.synthesize — the spec 046 kit command. Use the Skill tool to run agentii:synthesize on this workspace.
/agent-diversity-review
Agent diversity review
Run the Agent Diversity Review gate and emit the result table
/create-specialist-agent
Create specialist agent
Scaffold a new spawnable specialist agent def and register it in the agent taxonomy
/customer-changelog-check
Customer changelog check
Audit whether user-visible changes in the current session have matching CHANGELOG.md entries; report MISSING with suggested lines; --fix auto-appends
Make any song you can imagine
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