This skill should be used when the user asks to "image to frontend", "build this UI", "make me a landing page", "design and ship this site", "generate a mockup", "turn this screenshot into code", or hands over a product brief or reference image and wants a working React or HTML page. Also covers single-shot app…
Cross-provider LLM judge using Codex (GPT-5) to evaluate implementations written by Claude. Internal skill invoked by the insistir lead during the review loop. Not user-facing.
Author plan.toml files for the constatar engine — units, dependencies, adapters, and verification plans per the 6-rung ladder. Use when the user wants to plan or orchestrate multi-agent work with constatar.
Run and interpret verification through the constatar engine — the 6-rung ladder, grounded evidence, and conformance auditing. Use when the user asks to verify work with constatar, run a constatar plan, or audit a constatar run.
Loop engineering as gradient descent — a guided goal loop where an agent factory generates goal-specialized agents (implementer, verifier, diagnoser, judge) and iterates forward → loss → backward → update until the goal is provably met. Evidence is split into visible validation (the implementer's loss) and held-out…
Agents Checking Agents — multi-agent orchestration with cross-validation using Claude Code Agent Teams and a cross-provider Codex/GPT-5 judge for bias-free final verdicts. Fresh agents for each phase — no agent reuse. Each worker/reviewer/fixer is spawned, does its work, and is shut down. The review loop iterates…
Orchestrate headless Claude Code and Codex agents on a remote SSH host (Jetson) from this Mac. Use when: (1) user says /jaiskills:remoto-run or /jaiskills:remoto-status, (2) 'remote agents', 'spawn on the jetson', 'run this on the jetson', 'remote swarm', (3) work should execute on the remote box (its GPU, its files…
Generate a complete, ready-to-use prompt for a target model and harness. Triggers: metaprompt, generate a prompt for, write me a prompt, create a system prompt, prompt engineer this, optimize this prompt.