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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.
Passed 20 of 21 test cases with the skill, and 10 of 21 without it.
and 14 more in the full report
11 fixed11 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When drafting specifications for a slice of functionality during project planning, what two mandatory components must be defined for each slice spec?
| Checked | Without skill | With skill |
|---|---|---|
| Requires defining both a magic moment and a demo path for each functional slice specification | Missed | Passed |
The instructions your model reads when the skill loads.
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.
Classify the work onto a scale-adaptive track (Quick / Standard / Full) so ceremony matches risk — a one-file fix skips holdout scenarios and the docs-audit swarm; a greenfield app gets the full rig. The deterministic backpressure gate itself is never skipped, only the ceremony around it.
Interview the user one question at a time, always with a recommended answer, until the goal, success criteria, and constraints are known — capping interrogation after ~5 questions to avoid theater. Explore the codebase to self-answer before asking anything a human doesn't need to weigh in on.
Produce a project constitution, one spec per coherent slice (each with a magic moment and a demo
path), holdout acceptance scenarios the build must never read, and IMPLEMENTATION_PLAN.md — the
persistent shared state across every later iteration. Cross-check every artifact against every other
test cases passed, vs 10 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.