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wgm

Turns a rough request into working software via a governed build loop: align first, plan, then iterate one task at a time with deterministic backpressure and holdout-scenario judging.

agentic-developmentbuild-loopmethodologyralph-loopself-improvingspec-driven

wgm

Overview

wgm ("well, gosh... make") is a portable build methodology, not a domain skill — a single SKILL.md protocol that any agentskills.io-compatible host loads to turn a rough request into working software. It marries three ideas: a relentless alignment interview before any code is written, a Ralph-style loop (one task per iteration, a persistent plan as shared state, steered by deterministic backpressure), and holdout-scenario LLM judging (scenarios the build never sees, so a high satisfaction score can't be gamed). It also runs its own internal docs-audit and self-improvement loop, cross-pollinating durable lessons from sibling agent-coding projects back into its own protocol.

When to Use This Skill

  • Use when building or implementing a feature, app, or prototype from rough or ambiguous intent.
  • Use when a task benefits from a governed plan plus iterative, test-validated execution rather
  • than one-shot generation.

  • Use when you want a build to converge against acceptance criteria an LLM judge scores blind
  • (0-100), instead of trusting a single self-reported "looks good."

  • Not for trivial one-file edits, pure debugging, research-only questions, or tasks that already
  • have complete, unambiguous step-by-step instructions — wgm explicitly stays out of the way there.

How It Works

Step 1: Triage

Classify the work onto a scale-adaptive track

Subscribers only

The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.

Details

Sourceagent-frontier/wgm
LicenseMIT
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md
Added2026-07-05

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