vc-scenario

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在实现或测试前,通过12个维度分解功能以生成全面的边缘情况和测试场景。支持简单与深度模式,用于早期发现风险、评估影响范围及提升代码质量。

.claude/skills/vc-scenario/SKILL.md withkynam/vibecode-pro-max-kit

Trigger Scenarios

实现复杂或有状态功能前 编写测试前生成测试目标 规划或代码审查时的风险评估 API设计审查

Install

npx skills add withkynam/vibecode-pro-max-kit --skill vc-scenario -g -y
More Options

Non-standard path

npx skills add https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-scenario -g -y

Use without installing

npx skills use withkynam/vibecode-pro-max-kit@vc-scenario

指定 Agent (Claude Code)

npx skills add withkynam/vibecode-pro-max-kit --skill vc-scenario -a claude-code -g -y

安装 repo 全部 skill

npx skills add withkynam/vibecode-pro-max-kit --all -g -y

预览 repo 内 skill

npx skills add withkynam/vibecode-pro-max-kit --list

SKILL.md

Frontmatter
{
    "name": "vc-scenario",
    "layer": "helper",
    "metadata": {
        "author": "claudekit",
        "license": "MIT",
        "version": "1.0.0",
        "attribution": "Scenario exploration pattern adapted from autoresearch by Udit Goenka (MIT)"
    },
    "description": "Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.",
    "argument-hint": "<file path or feature description>",
    "trigger_keywords": "edge cases, test scenarios, what could go wrong"
}

vc-scenario — Edge Case & Scenario Explorer

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

Decompose any feature or code path across 12 dimensions to surface edge cases, risks, and test targets before implementation begins.

Mode Selection

Choose a mode before generating scenarios. Default is Simple unless a trigger condition applies.

Simple Mode (default)

Generates edge cases from the plan description, checklist item, or approach text provided in the prompt. No subagent spawned.

Use when:

  • The checklist item is self-contained and clearly described
  • Blast radius is narrow (1–2 files, single package)
  • No auth, billing, schema, or external API surface is touched
  • Speed matters and hypothetical coverage is sufficient

Deep Mode

Spawns a research subagent to read the actual source before generating scenarios. Scenarios reference real variable names, real function signatures, and real failure modes visible in the code rather than hypothetical ones.

Trigger conditions (any one):

  • Checklist item modifies an auth, billing, schema, or external API surface
  • Blast radius spans 3+ files or 2+ packages
  • The plan marks the item as HIGH_RISK
  • Caller explicitly requests deep mode

Deep mode subagent steps:

  1. Reads the actual source files being modified (from plan Touchpoints)
  2. Locates and reads existing test files for those files (via grep for import paths or describe blocks)
  3. Reads any Public Contracts affected (from plan's Public Contracts section)
  4. Returns: real function signatures, actual data shapes, existing test coverage gaps, real failure modes visible in the code

The orchestrator then generates scenarios using the research output.

Output quality difference

Mode Example scenario
Simple "What if the input is null?"
Deep "What if creditBalance.available is 0 but creditBalance.pending is positive — does deductCredits(amount) check available-only or available + pending?"

Simple mode surfaces generic edge cases quickly. Deep mode surfaces scenarios that are only discoverable by reading the actual implementation.


When to Use

  • Before implementing complex or stateful features
  • Before writing tests (generates test targets)
  • Risk assessment during planning or code review
  • API design review — surface contract edge cases early

When NOT to Use

  • Trivial single-line changes or cosmetic UI tweaks
  • Already well-tested, stable code with no recent modifications
  • Pure configuration changes with no logic paths

12 Decomposition Dimensions

Not all 12 apply to every feature. Identify relevant dimensions first, then generate scenarios only for those.

# Dimension What to Look For
1 User Types admin, guest, banned, new user, power user, bot/scraper
2 Input Extremes empty, null, max length, unicode, special chars, SQL/script injection
3 Timing concurrent access, race conditions, timeout, slow network, retry storms
4 Scale 0 items, 1 item, 1M items, pagination boundary, cursor wrap
5 State Transitions first use, mid-flow abort, resume after crash, partial completion
6 Environment mobile/low-end CPU, no JS, screen reader, proxy/VPN, different timezone/locale
7 Error Cascades DB down, API timeout, disk full, OOM, network partition, partial write
8 Authorization expired token, wrong role, shared/public link, CORS, CSRF, privilege escalation
9 Data Integrity duplicate entries, orphan references, encoding mismatch, concurrent schema migration
10 Integration webhook replay, API version mismatch, third-party outage, contract drift
11 Compliance GDPR deletion request, audit logging gap, data retention, accidental PII exposure
12 Business Logic edge pricing (zero/negative), coupon stacking, refund after partial delivery, free tier limits

Workflow

Step 0 — Select mode using the Mode Selection rules above.

Simple mode:

  1. Parse feature description or checklist item from the prompt
  2. Filter dimensions — mark which of the 12 apply; skip irrelevant ones explicitly
  3. Generate 3–5 scenarios per relevant dimension
  4. Categorize severity — Critical / High / Medium / Low
  5. Output as structured table (see format below)
  6. Summarize total scenario count by severity

Deep mode:

  1. Spawn research subagent — pass Touchpoints, Public Contracts, and checklist item text
  2. Subagent returns real function signatures, data shapes, coverage gaps, visible failure modes
  3. Filter dimensions using research output to remove inapplicable ones
  4. Generate 3–5 scenarios per relevant dimension, referencing actual variable/function names
  5. Categorize severity — Critical / High / Medium / Low
  6. Output as structured table annotated with source evidence (file + line where relevant)
  7. Summarize total scenario count by severity

Severity Criteria

Level Meaning
Critical Data loss, security breach, auth bypass, silent corruption
High Feature broken for a subset of users, data inconsistency
Medium Degraded UX, recoverable error not surfaced to user
Low Minor visual glitch, non-blocking warning

Output Format

## Scenario Report: [target]

Dimensions analyzed: [list]
Dimensions skipped: [list + reason]

| # | Dimension | Scenario | Severity | Expected Behavior |
|---|-----------|----------|----------|-------------------|
| 1 | Input Extremes | Empty string for required name field | High | Return 400 with field error |
| 2 | Authorization | Expired JWT accessing protected route | Critical | Redirect to login, invalidate session |
| 3 | Timing | Two users submit same form simultaneously | High | Idempotency key or conflict error |

### Summary
- Critical: N
- High: N
- Medium: N
- Low: N
- Total: N scenarios across X dimensions

Integration with Other Skills

Next Step Skill How
Generate test cases from scenarios vc-test Pass scenario table as input context
Inform implementation plan risks generate-plan / plan-agent Paste Critical/High rows into risk assessment
Deep persona debate on top risks vc-predict Feed Critical scenarios as the change proposal

Example Invocations

# Simple mode (default — self-contained, narrow blast radius)
/vc-scenario src/api/payment.ts
/vc-scenario "User registration with OAuth providers"
/vc-scenario src/middleware/auth.ts

# Deep mode (auto-triggered: billing surface, 3+ files)
/vc-scenario "Deduct credits on model usage — touches CreditBalance, CreditTransaction, usage-sync.ts"

# Deep mode (explicit request)
/vc-scenario --deep "Add multi-tenancy to the database layer"

Version History

  • 3bcb2f9 Current 2026-07-05 14:36

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