Create a new skill (SKILL.md), agent definition, or instruction file. Use when converting ad-hoc knowledge into a reusable skill, scaffolding an agent for Claude Code, GitHub Copilot, OpenAI Codex, or Google Gemini, or creating instruction files for glob-pattern matching. Don't use for updating existing artifacts …
Behavioral eval for skills and agents — whether the artifact actually changes model behavior, not just whether it scores well on a rubric. Use when verifying a skill or agent works in practice, or when tracking its performance across repeated runs to catch regressions. Triggers are test this skill, test this agent…
You grade outputs against a list of expectations. You receive an output (text produced by an agent) and an expectations list (assertions about what the output should contain or demonstrate).
You receive a completed blind comparison (arbiter output) and a label mapping revealing which output was "withartifact" vs "baseline". Your job: explain why the winner won and surface targeted improvements to the artifact.
Evaluate any LLM prompt (SKILL.md, agent definition, system prompts, instruction files) for quality — grouped dimensional scoring with letter grade and step-through-ready numbered improvements list. Triggers are judge/review/audit/score/evaluate this skill or prompt, grade this agent. Don't use for behavioral testing…
Report what a skill or agent actually does versus what its description claims — drift, undeclared behaviors, verdict. Use before updating a skill or agent, or when a description is suspected of being out of date. Triggers are recap [skill], what does [skill] do, audit [skill] description, summarize [skill]. Don't use…
Critically reviews and stress-tests agent, skill, and AI workflow definitions before they ship. Use whenever someone creates, modifies, or proposes an agent config, skill file, system prompt, or AI-powered workflow — including 'review this agent', 'check this skill', 'is this agent safe', or any request for feedback…
Revise an existing SKILL.md or agent definition. Use when an existing skill or agent needs revision, modification, or improvement — including when it misfires, triggers too broadly or too rarely, or has drifted from what its description claims. Don't use for creating new artifacts — use ai-forge-create for that.…
Targeted multi-domain codebase audit. Use when auditing a user flow end to end, investigating issues that span several domains (auth, data, API, UI), or running a structured find-then-fix cycle over a named area. Produces a validated findings set and a SPEC handoff for implementation. Not for reviewing a single file…