Requirement Convergence

SkillMedia

Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure. Use when a requirement enters a workflow, before design begins, or when "how far do we go/what's out of scope/is this worth it" is mentioned.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Requirement Convergence skill

What this skill tells your AI

The instructions your AI receives, as published by shinpr/ai-coding-project-boilerplate in .claude/skills-en/requirement-convergence/SKILL.md and read by ahel’s review.

Purpose

Requirements arrive bloated, ambiguous, or aimed at the wrong outcome. A capable model reconciles all three into a coherent plan and builds it faithfully — delivering exactly what was asked for when what was asked for was wrong.

This skill converges what to build. How to build it, and which documents the change requires, are settled after the what is.

Convergence Fields

FieldPass condition
outcomeOne observable result. A requirement that does not serve it is excess.
requirements[]Every build-relevant item labeled current-state or desired-future.
nonGoals[]Authored by the user, or the user stated there are none.
costA band with the structural evidence that places it, plus the unknowns that remain.

cost is a rough band, not the effort estimate a work plan schedules against; requirements cannot support person-days. Its unknowns carry more decision weight than its size.

Keep request signals classified as evaluation requests, speculative ideas, or prescribed mechanisms in active convergence context as judgment-only candidates. requirements[] and durable documents receive a candidate only after explicit user confirmation.

Each field carries its own readiness label: ready, weak, or weak-but-explicit (weak, and the user agreed to leave it unresolved). Only the user sets weak-but-explicit. Requirements are converged when every applicable field is ready or weak-but-explicit.

Judgment rules per field: references/criteria.md.

Hearing Protocol

Use the available scope and cost evidence for both elicitation and judgment, then ask only for product choices that the repository cannot answer. Repeat scope and cost analysis only when an answer changes the analysis target or required scope evidence.

Register these steps before starting and record each step's evidence as it completes:

StepActionCompletion evidence
1State the available scope facts, then separately what they imply for the requirementFacts listed with their analysis evidence
2Ask about the fields below ready, at most two questions per messageOne question per field below ready
3Record each answer as that field's valueThe value is the option the user selected or the wording the user supplied
4Re-ask once when a recorded value still fails its pass condition, then mark the field weak-but-explicit when the user agrees to leave the second answer as it standsTwo recorded answers, or the user's agreement to stop
5Judge each field against its pass condition and finalize the completed recordA convergence record with every field labeled

Storage Protocol

CarrierHolds
The active convergence recordEvery field with its readiness label
PRD Success Criteria and Out of Scopeoutcome; user-authored nonGoals
Design Doc Requirement ConvergenceThe same when no PRD exists, and the fields left weak-but-explicit in every case

When neither document exists, retain the record in the active context.

Reference Protocol

  1. Read the convergence record from the prompt.
  2. Treat nonGoals as excluded from the current change and desired-future requirements as buildable scope. Evaluation requests, speculative ideas, and prescribed mechanisms that were not promoted create no implementation obligation; an accepted ADR may retain evaluated options as decision history.
  3. Treat a weak-but-explicit field as a recorded open question rather than a settled decision, and escalate when the work depends on resolving it.

Quality Checklist

  • Scope facts were presented before questions were asked
  • nonGoals came from the user, or the user stated there are none
  • Every applicable field is ready, or weak-but-explicit by the user's agreement

References

  • references/criteria.md — judgment rules per field, cost inputs, challenge intensity, solution-in-disguise test

Signals

GitHub stars
228
Forks
26
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
requirement-convergence
Source
github.com/shinpr/ai-coding-project-boilerplate