Requirement Convergence
SkillDev toolsConverges future-state requirements around outcome, exclusions, and rough cost. Use when users ask 'do we need this?', 'how far should we go?', or request a feature or scope change.
Available today. Use it from your connected AI after setup.
No other account needed.
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/codex-workflows in .agents/skills/requirement-convergence/SKILL.md and read by ahel’s review.
Purpose
Capable models can make an oversized or misdirected request technically coherent and implement it faithfully. Converge what is worth building before design decides how to build it.
Apply this skill to future-state Design Doc and implementation flows. Reverse-engineered/as-is documentation is outside its scope. Requirement Convergence decides what to build; implementation-approach decides the smallest sufficient way to build the converged scope.
Convergence Record
| Field | Pass condition |
|---|---|
outcome | One observable result. Every buildable requirement serves it. |
requirements[] | Every item is labeled current-state, desired-future, or speculative; buildable outcomes and explicit constraints trace to the user's request. Agent-selected means remain design choices. |
nonGoals[] | The user decided each exclusion or explicitly stated there are none. |
cost | A rough band with structural evidence and remaining unknowns. |
cost is an early requirements estimate, not a design or work-plan estimate. It is intentionally approximate: enough to challenge low-value scope without pretending shallow inspection can produce exact effort.
All four fields apply whenever Requirement Convergence runs. Each field has readiness ready, weak, or weak-but-explicit. Only the user can accept weak-but-explicit. The record is converged when every field is ready or weak-but-explicit.
Use references/criteria.md to judge each field.
Hearing Protocol
The orchestrator owns user interaction. It runs the hearing after an analysis step has produced scope facts.
- Present observed scope facts separately from their inferred implications. Keep agent-proposed capabilities, guarantees, outputs, and operating obligations out of requirements. Escalate a requirement change only when concrete evidence shows the requested outcome cannot be achieved under the current conditions; name the failing premise, smallest change, and trade-off for the user's decision.
- Ask only about fields below
ready, at most two questions per message. - Record answers in the user's wording.
- If an answer still fails its pass condition, ask once more. Mark it
weak-but-explicitonly when the user agrees to proceed unresolved. - Re-judge the updated record before design begins. Re-run structural analysis only when an answer changes scope or cost evidence; otherwise the orchestrator applies the field's pass condition directly.
Storage Protocol
| Flow state | Carrier |
|---|---|
| Before persistence | Compact convergence object in the current handoff |
| PRD flow | Success Criteria holds outcome; the requirement boundary holds current requirements and user-decided nonGoals |
| Design Doc is the first durable document | Overview holds outcome; Requirement Boundary holds current requirements and user-decided nonGoals |
| Small direct implementation | Compact record embedded in the single task file's Governing Sources |
Persist weak-but-explicit outcome, current requirements, and non-goals as open questions. Keep speculative ideas, evaluation requests, prescribed mechanisms, and unselected candidates in the active convergence context only until scope is confirmed; durable downstream documents contain the resulting current requirements and selected conclusions. cost is also ephemeral: use it for the requirements challenge, then let Structural Scale select the workflow and let design or planning produce later estimates. A Small-flow task file carries only outcome, current requirements, nonGoals, and their readiness in Governing Sources; its executor receives only that task path. Keep relevant user wording and explicit constraints in that existing requirement boundary, distinct from technical means. Downstream agents can then use the document path; before persistence or when provenance is missing, pass the relevant source excerpt.
Downstream Contract
- Read the convergence record from the current handoff or its durable document.
- Build the current change from user-selected
desired-futureoutcomes and keep recordednonGoalsoutside implementation. Technical means remain revisable after phase passage when user-required outcomes and explicit constraints remain satisfied; reconcile affected sources and proof. A speculative capability becomes buildable only when the user explicitly requests that scope change. - Keep
weak-but-explicitfields visible as open questions. Escalate only when the current work depends on resolving one.
Quality Checklist
- Scope facts and inferences are distinguished
- Every buildable requirement traces to the outcome
- Every non-goal is user-decided, and an empty
nonGoalslist reflects the user's explicit choice of none - Cost is approximate and evidence-backed
- Every field is
readyor user-approvedweak-but-explicit
References
- references/criteria.md — field judgments, cost bands, challenge intensity, and solution-in-disguise test
Signals
- GitHub stars
- 37
- Forks
- 8
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
requirement-convergence-2- Source
- github.com/shinpr/codex-workflows