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
- Use when you want a build to converge against acceptance criteria an LLM judge scores blind
- Not for trivial one-file edits, pure debugging, research-only questions, or tasks that already
than one-shot generation.
(0-100), instead of trusting a single self-reported "looks good."
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
| Source | agent-frontier/wgm |
|---|---|
| License | MIT |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-07-05 |
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