Capture evidence-backed project lessons in CTXORA memory and promote repeated lessons into reusable guidance. Use after a correction, verified bug fix, architectural decision, or repeatable workflow is established.
Route a CTXORA task to the smallest useful skill, command, agent role, and MCP tool set. Use when the user asks how to use CTXORA, which workflow to choose, or where a CTXORA capability lives.
Start from an ECC skill profile in CTXORA, preview its modules and skills, then add or remove modules or individual skills before installation.
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support. standards. Use this skill to…
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes.…
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and…
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent's tool set, action space, or observation format.
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.