Catalog
Yeachan-Heo/intent

Shipyard's internal requirements intake for non-engineer contributors (support/ops) — turn a pasted chat log or verbal problem report into a five-section intent.md through numbered batch questioning with a completion gate, walk it through tracker review with harbor's four records, and hand the accepted intent to /launch as its mission brief. Produces decisions, not code.

v1.0LATEST
NewUpdated Sep 22, 2026

Intent

Intent is the shipyard's internal intake: support/ops staff see product problems first but cannot write engineering specs. The intent skill converts their conversation into a goal-level YAML+markdown artifact that an owner reviews and signs, so engineering receives a fog-free mission. It stands on the verifiability boundary — the agent asks, records, and drafts; humans submit, verify, and sign.

Design provenance: every decision here was pinned by a wayfinder map (7 tickets) and walked end-to-end in a demo repository before implementation.

Role contract

  • The contributor (e.g. support staff) pastes raw feedback or a chat log. The agent never invents facts; unknowns become explicit 待确认 items.
  • Decisions are the humans': the contributor confirms wording, the supervisor submits, the product owner verifies facts and signs accept/reject. The agent never signs, never rejects on anyone's behalf, and never stands in for a reviewer.
  • The stop gate is a completion gate, not an ambiguity score — no math is borrowed from deep-interview; only its Goal and Constraint clarity judgments are reused as quality bars.

The conversation (numbered batch questioning)

  1. Opening inventory: restate the problem in one sentence, then show the five-section inventory (known / missing per section).
  2. Numbered batch questioning: list every gap as numbered questions in one batch. The contributor answers by number (1 是; 2 不确定). Unknown answers are recorded as 待确认 and pushed into open questions — never pressed until guessed.
  3. Re-inventory: apply the answers; if gaps remain, emit the next numbered batch. One round = one batch.
  4. Stop gate (all five sections must pass):
    • 问题: observable phenomena, no solution embedded
    • 目标: one sentence, no qualifiers, names entities and relations (deep-interview Goal Clarity bar)
    • 用户和系统: real names for users and systems; unknowns written as 待确认 and counted as open questions
    • 约束: boundaries, limits, and non-goals explicit (deep-interview Constraint Clarity bar)
    • 未决问题: list non-empty, or an explicit
  5. Soft limits: soft prompt at round 6 ("draft with current clarity?"), hard cap at round 12. An early exit is never blocked — thin sections surface as longer open questions, and review is the gate that rejects them.
  6. Draft: the agent drafts docs/intents/<slug>/intent.md (template below) at status: draft; the contributor confirms wording before any submission.

The intent.md template

---
intent: <slug>
title: <one-line title>
author: <name (role)>
date: <YYYY-MM-DD>
status: draft | in-review | accepted | rejected
round: <tracker review round>
---

## 问题
<observable phenomena, no solution>

## 目标
one sentence, no qualifiers

## 用户和系统
<who the users are, which systems, real names; unknowns as 待确认>

## 约束
<boundaries, non-goals; cite Rules pillar files when a constraint comes from them>

## 未决问题
- [阻塞|非阻塞] <question>   ← agent suggests, product owner finalizes

Grading open questions

The test for 阻塞: "can the spec still be approved without answering it?" No → blocking; yes → non-blocking (tracked, may ride into development). The drafting agent suggests grades; the product owner finalizes at spec approval.

Review handoff (harbor four records)

Review runs on the repo's tracker — the tracker is the only record source; intent.md frontmatter mirrors status only. One record file per Intent, rounds accumulate inside it. Required fields per record: signer, date, verdict, link to intent.md, round, rejection reason (mandatory on reject).

  • proposal = supervisor submits the Intent (intent.md → status: in-review)
  • verification = product owner checks facts against repo evidence before deciding; the agent may draft the fact-check table, but the signature belongs to the reviewer — no repo evidence to check? Then verification records why none was needed
  • decision = accept or reject; reject requires a reason, which is the key input to resubmission
  • execution result = spec generation completed for this Intent

Rejected → revise → resubmit in the same file under the next round number. History stays traceable.

Handoff to launch

An accepted intent (status: accepted) is a valid mission brief. Launch's spec synthesis then follows the four-step contract:

  1. read docs/intents/<slug>/intent.md (must be accepted, latest round)
  2. combine with the existing codebase
  3. follow the Rules pillar (CLAUDE.md + docs/standards/ + docs/business/)
  4. list every doubt and rule conflict — graded into the spec's pending-confirmation section

Intent open questions carry into the spec verbatim, keeping their pending status.

Amendment

New information after acceptance (typically surfaced by the first spec) is an amendment: anyone may initiate, the submitter signs, and it always re-enters full review as a new round — no minor-change exemption. An intent change marks the generated spec stale; the spec is regenerated from the new intent and re-approved. No separate amendment record type: rounds carry it.

Conflict sedimentation

Conflict conclusions in the spec's pending section follow precedent-based routing: case-local answers stay in the spec; conclusions that will bind later Intents sediment into the Rules pillar (docs/business/ for business rules, docs/standards/ for behavior rules); hard-to-reverse technical tradeoffs become ADRs. Never double-write; never defer archiving. The product owner decides whether a conclusion is precedent-setting; the tech lead advises the destination.

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Overall Score

87/100

Grade

A

Excellent

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

92

Quality

85

Clarity

87

Completeness

82

Summary

This skill guides non-engineer contributors (support/ops staff) through structured intake of product problems into a machine-readable intent artifact. Using numbered batch questioning with explicit stop gates, it converts raw feedback into a five-section YAML+markdown document that serves as a mission brief for engineering. The agent asks, records, and drafts; humans make all decisions and sign off at review boundaries.

Detected Capabilities

Text analysis and summarizationStructured document generation (YAML+markdown)Multi-round conversational interviewingIntent template renderingFact extraction from unstructured feedback

Trigger Keywords

Phrases that agents use to match this skill to user intent.

intake non-engineer feedbackconvert support chat to specstructure problem requirementsgate requirement claritytrack intent versionsrequirement review handoffintake requirementsrequirement intake process

Use Cases

  • Convert support feedback into engineering briefs without requiring contributor technical writing skills
  • Capture structured requirements (problems, goals, users, constraints, open questions) from non-engineers with explicit unknowns tracked
  • Gate requirement clarity using verified quality bars (problem observability, goal clarity, constraint explicitness) before handoff to spec generation
  • Track requirement changes through versioned rounds with full audit trail (proposal, verification, decision, execution)
  • Sediment resolved conflicts and rule decisions from individual intents into reusable Rules pillar documentation

Quality Notes

  • Clear role boundaries: agent proposes, humans decide — no autonomous decisions on validation or rejection
  • Well-defined stop gates using established quality bars (Goal/Constraint Clarity from deep-interview) rather than ad-hoc ambiguity scoring
  • Explicit handling of unknowns through 待确认 markers pushed into open questions — never discarded or guessed
  • Five-section structure (Problem, Goal, Users/Systems, Constraints, Open Questions) maps cleanly to intake requirements and downstream spec synthesis
  • Full audit trail via tracker records (proposal, verification, decision, execution) with rejection reasons mandatory for traceability
  • Amendment and round versioning prevent lost history; rejected intents re-enter full review, no bypass exemption
  • Soft prompts (round 6) and hard caps (round 12) balance thoroughness with practical interviewing limits
  • Conflict sedimentation routing (case-local vs. Rules pillar vs. ADR) prevents duplication and establishes governance precedent
  • Template frontmatter mirrors tracker status, maintaining single source of truth (tracker is authoritative)
  • Use of real names for users/systems and explicit non-goals address common requirement ambiguity sources
Model: claude-haiku-4-5-20251001Analyzed: Sep 22, 2026

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