miles-knowbl

entry-portal

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# Install this skill:
npx skills add miles-knowbl/orchestrator --skill "entry-portal"

Install specific skill from multi-skill repository

# Description

Converts fuzzy requirements into structured FeatureSpecs and GitHub issues. Manages the system queue for a domain's journey toward its dream state. The entry point for all new systems and features entering the engineering loop.

# SKILL.md


name: entry-portal
description: "Converts fuzzy requirements into structured FeatureSpecs and GitHub issues. Manages the system queue for a domain's journey toward its dream state. The entry point for all new systems and features entering the engineering loop."
phase: INIT
category: meta
version: "1.0.0"
depends_on: []
tags: [meta, initialization, discovery, setup, queue]


Entry Portal

Transform fuzzy ideas into actionable specifications.

When to Use

  • New domain β€” Defining a dream state and initial systems
  • New system β€” Adding a system to an existing domain
  • New feature β€” Adding capability to an existing system
  • Fuzzy input β€” User has an idea but not a clear spec
  • When you say: "I want to build...", "we need a system that...", "let's add..."

Reference Requirements

MUST read before applying this skill:

Reference Why Required
clarifying-questions.md Essential patterns for requirement gathering
dream-state-template.md Template for vision document
system-decomposition.md How to break large initiatives into systems

Read if applicable:

Reference When Needed
queue-operations.md When managing existing queue
github-issue-format.md When publishing to GitHub

Verification: Before proceeding, confirm you have read and can apply guidance from required references.

Required Deliverables

Deliverable Location Condition
dream-state.md ../{domain}/ New domain only (sibling to loop command)
config.json ../{domain}/ New domain (autonomy config)
system-queue.json ../{domain}/ Always (create or update)
loop-state.json ../{domain}/ Always (tracks loop state)
FEATURESPEC.md ../{domain}/systems/{system}/ Per system (invokes spec skill)
ESTIMATE.md ../{domain}/systems/{system}/ Per system (invokes estimation skill)

Entry-Portal vs Spec Skill

Both skills produce FeatureSpecs, but they serve different purposes:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    WHEN TO USE WHICH SKILL                                   β”‚
β”‚                                                                             β”‚
β”‚  ENTRY-PORTAL                           SPEC                                β”‚
β”‚  ────────────                           ────                                β”‚
β”‚  β€’ New domain (dream state)             β€’ Clear requirements exist          β”‚
β”‚  β€’ Multiple systems to decompose        β€’ Single feature/system             β”‚
β”‚  β€’ Fuzzy/unclear input                  β€’ Adding to existing system         β”‚
β”‚  β€’ Need clarification dialogue          β€’ Technical refinement              β”‚
β”‚  β€’ Creates GitHub issues                β€’ Just need the spec document       β”‚
β”‚  β€’ Manages system queue                 β€’ Mid-loop spec refinement          β”‚
β”‚                                                                             β”‚
β”‚  "I want to build a field              "Add a notification feature          β”‚
β”‚   service platform..."                  when orders are assigned"           β”‚
β”‚         ↓                                       ↓                           β”‚
β”‚    Entry-Portal                              Spec                           β”‚
β”‚         ↓                                       ↓                           β”‚
β”‚  [Dream State]                          [FeatureSpec document]              β”‚
β”‚  [System Queue]                                                             β”‚
β”‚  [GitHub Issues]                                                            β”‚
β”‚  [FeatureSpecs]                                                             β”‚
β”‚                                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Decision Guide

Situation Use Entry-Portal Use Spec
Starting greenfield project βœ…
Breaking down large initiative βœ…
Input is vague or incomplete βœ…
Need to create GitHub issues βœ…
Requirements are already clear βœ…
Adding feature to existing system βœ…
Refining spec during implementation βœ…
Just need spec document, no queue βœ…

Note: Entry-portal invokes both the spec skill and estimation skill internally. If you use entry-portal, you don't need to separately use spec or estimation β€” the FeatureSpec and ESTIMATE.md are generated as part of the entry flow.

Core Concept

Entry Portal is the front door to the engineering loop. It takes natural language input and produces GitHub issues with complete FeatureSpecs that the engineering loop can execute.

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                           ENTRY PORTAL                                       β”‚
β”‚                                                                             β”‚
β”‚  "I need a system for          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      GitHub Issue #123      β”‚
β”‚   managing field service   ───▢│ Entry Portal │───▢  with FeatureSpec       β”‚
β”‚   operations..."               β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      ready for execution    β”‚
β”‚                                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

The Entry Flow

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                         ENTRY PORTAL FLOW                                    β”‚
β”‚                                                                             β”‚
β”‚  1. RECEIVE                                                                 β”‚
β”‚     └─→ Accept fuzzy input (natural language description)                   β”‚
β”‚                                                                             β”‚
β”‚  2. CLARIFY                                                                 β”‚
β”‚     └─→ Ask targeted questions until requirements are clear                 β”‚
β”‚     └─→ Use requirements skill patterns                                     β”‚
β”‚                                                                             β”‚
β”‚  3. CLASSIFY                                                                β”‚
β”‚     └─→ New domain? New system? New feature?                                β”‚
β”‚     └─→ Determine scope and context                                         β”‚
β”‚                                                                             β”‚
β”‚  4. DECOMPOSE (if needed)                                                   β”‚
β”‚     └─→ Break into discrete systems                                         β”‚
β”‚     └─→ Identify dependencies between systems                               β”‚
β”‚     └─→ Order by dependency graph                                           β”‚
β”‚                                                                             β”‚
β”‚  5. SPECIFY                                                                 β”‚
β”‚     └─→ Generate FeatureSpec for each system                                β”‚
β”‚     └─→ Use spec skill with 18-section template                             β”‚
β”‚                                                                             β”‚
β”‚  6. ESTIMATE                                                                β”‚
β”‚     └─→ Invoke estimation skill for each system                             β”‚
β”‚     └─→ Produce ESTIMATE.md with effort breakdown                           β”‚
β”‚     └─→ Apply calibration adjustments if available                          β”‚
β”‚                                                                             β”‚
β”‚  7. CONFIGURE                                                               β”‚
β”‚     └─→ Set or confirm autonomy mode (autonomous/supervised/hybrid)         β”‚
β”‚     └─→ Configure gates (specification, architecture, security, deploy)     β”‚
β”‚     └─→ Create/update config.json at domain level                           β”‚
β”‚     └─→ Apply per-system overrides if needed                                β”‚
β”‚                                                                             β”‚
β”‚  8. QUEUE                                                                   β”‚
β”‚     └─→ Add to domain's system queue                                        β”‚
β”‚     └─→ Update queue state (JSON file)                                      β”‚
β”‚                                                                             β”‚
β”‚  9. PUBLISH                                                                 β”‚
β”‚     └─→ Create GitHub issue per system                                      β”‚
β”‚     └─→ Attach FeatureSpec to issue                                         β”‚
β”‚     └─→ Add appropriate labels                                              β”‚
β”‚     └─→ Link dependencies between issues                                    β”‚
β”‚                                                                             β”‚
β”‚  OUTPUT: GitHub issues ready for engineering loop                           β”‚
β”‚                                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Step 1: Receive Input

Accept any form of input:
- Natural language description
- Rough feature list
- Problem statement
- Existing documentation
- Competitor reference
- Wireframes/mockups

Document the raw input before processing.

Step 2: Clarify Requirements

Use the clarifying questions framework to fill gaps:

Question Categories (ask in order)

Category Questions
Users Who will use this? What are their roles? Technical level?
Goals What are they trying to accomplish? What's the primary job-to-be-done?
Current State How do they do it today? What tools exist?
Pain Points What's broken? What's slow? What's frustrating?
Constraints Technology requirements? Timeline? Budget? Team size?
Integration What existing systems must it work with?
Scale How many users? How much data? Growth expectations?
Success How will we know it's working? What metrics matter?

Clarification Signals

Stop clarifying when:
- [ ] Users and their goals are clearly defined
- [ ] Core functionality is enumerable
- [ ] Constraints are documented
- [ ] Success criteria are measurable
- [ ] Integration points are identified

β†’ See references/clarifying-questions.md

Step 3: Classify Input

Determine the scope:

Classification Characteristics Next Step
New Domain No existing systems, greenfield Define dream state, decompose into systems
New System Adding to existing domain Fit into existing queue, check dependencies
New Feature Adding to existing system Single FeatureSpec, add to system's backlog
Enhancement Improving existing feature May not need entry portal, go direct to spec

Step 4: Define Dream State (New Domains)

For new domains, establish the vision:

# Dream State: [Domain Name]

## Vision
[2-3 sentences describing the end state when fully realized]

## Key Capabilities
When complete, the domain will:
- [ ] [Capability 1]
- [ ] [Capability 2]
- [ ] [Capability 3]
- [ ] ...

## Constraints
| Constraint | Value |
|------------|-------|
| Technology Stack | [e.g., Django/Elm, React/Node] |
| Timeline | [e.g., MVP in 3 months] |
| Budget | [e.g., $50k infrastructure] |
| Team | [e.g., 2 engineers + 1 designer] |
| Integration | [e.g., Must work with SAP] |

## Success Metrics
| Metric | Target | Measurement |
|--------|--------|-------------|
| [Metric 1] | [Target] | [How measured] |
| [Metric 2] | [Target] | [How measured] |

## Anti-Goals (What We Won't Build)
- [Explicitly out of scope item 1]
- [Explicitly out of scope item 2]

β†’ See references/dream-state-template.md

Step 5: Decompose into Systems

Break the dream state into implementable systems:

System Identification

Ask:
- What are the natural boundaries? (user-facing vs backend, real-time vs batch)
- What can be deployed independently?
- What has different scaling requirements?
- What has different team ownership?

Dependency Mapping

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                      SYSTEM DEPENDENCY GRAPH                                 β”‚
β”‚                                                                             β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                                                            β”‚
β”‚  β”‚   Auth      │◀─────────────────────────────────────┐                     β”‚
β”‚  β”‚  Service    β”‚                                      β”‚                     β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜                                      β”‚                     β”‚
β”‚         β”‚                                             β”‚                     β”‚
β”‚         β–Ό                                             β”‚                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                 β”‚
β”‚  β”‚    Core     │─────▢│   Routing   │─────▢│   Mobile    β”‚                 β”‚
β”‚  β”‚   Service   β”‚      β”‚   Service   β”‚      β”‚    App      β”‚                 β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                 β”‚
β”‚         β”‚                                                                   β”‚
β”‚         β–Ό                                                                   β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                                                            β”‚
β”‚  β”‚  Analytics  β”‚                                                            β”‚
β”‚  β”‚  Dashboard  β”‚                                                            β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                                                            β”‚
β”‚                                                                             β”‚
β”‚  Build Order: Auth β†’ Core β†’ Routing β†’ Mobile                                β”‚
β”‚               Auth β†’ Core β†’ Analytics (parallel with Routing)               β”‚
β”‚                                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

System Definition Template

## System: [Name]

### Purpose
[One sentence: what this system does]

### Inputs
- [What data/events it receives]
- [From which systems/users]

### Outputs
- [What data/events it produces]
- [To which systems/users]

### Dependencies
- [System names this depends on]
- [External services required]

### Priority
P[1-5] where P1 is highest (build first)

### Estimated Complexity
- [ ] Small (< 1 week)
- [ ] Medium (1-4 weeks)
- [ ] Large (1-3 months)
- [ ] XL (> 3 months, consider further decomposition)

β†’ See references/system-decomposition.md

Step 6: Generate FeatureSpecs

For each system, create a complete FeatureSpec:

  1. Invoke the spec skill
    Read /mnt/skills/user/engineering/spec/SKILL.md

  2. Use the 18-section template
    Read /mnt/skills/user/engineering/spec/references/18-section-template.md

  3. Generate spec for this system's scope

  4. Validate with senior engineer audit
    Read /mnt/skills/user/engineering/spec/references/senior-engineer-audit.md

Step 7: Configure Autonomy

Before queuing systems for execution, configure how much human oversight is needed:

Autonomy Modes

Mode Description Use When
Autonomous Run to completion, pause only on failure Small systems, high confidence, personal projects
Supervised Pause at all configured gates Large systems, enterprise, security-critical
Hybrid Autonomous with gates at critical points Standard projects (default)

Gate Configuration

Decide which gates require human approval:

Gate Stage Recommended For
specification After SPEC Major initiatives, unclear requirements
architecture After SCAFFOLD Systems with complex architecture decisions
security After VALIDATE Any system handling sensitive data
deploy Before SHIP Production deployments

Domain-Level Config

Create config.json at domain root:

{
  "domain": "velocity-tracker",
  "organization": "superorganism",

  "autonomy": {
    "defaultMode": "supervised",
    "failureRetries": 3,

    "gates": {
      "specification": { "required": true },
      "architecture": { "required": true },
      "security": { "required": false },
      "deploy": { "required": true }
    },

    "reason": "Why this mode was chosen"
  }
}

Per-System Override

In system-queue.json, add autonomy overrides for specific systems:

{
  "id": "sys-001",
  "name": "Auth Service",
  "autonomy": {
    "mode": "supervised",
    "gates": {
      "specification": { "required": true },
      "architecture": { "required": true },
      "security": { "required": true },
      "database": { "required": true },
      "deploy": { "required": true }
    },
    "reason": "Security-critical system requires full oversight"
  }
}

Configuration Checklist

Before starting any system:

  • [ ] Autonomy mode selected (autonomous/supervised/hybrid)
  • [ ] Gates configured for risk level
  • [ ] config.json created at domain level
  • [ ] Per-system overrides added if needed
  • [ ] loop-controller/references/autonomy-configuration.md read

β†’ See loop-controller/references/autonomy-configuration.md for full details

Step 8: Manage System Queue

Queue Data Structure

Store in domain-memory/{domain}/system-queue.json:

{
  "domain": "azure-standard-ops",
  "repository": "org/azure-standard",
  "dreamState": "Fully integrated field service management platform",
  "createdAt": "2024-01-15T10:00:00Z",
  "updatedAt": "2024-01-16T14:30:00Z",
  "systems": [
    {
      "id": "sys-001",
      "name": "Auth Service",
      "description": "Authentication and authorization",
      "githubIssue": 100,
      "status": "complete",
      "dependencies": [],
      "priority": 1,
      "completedAt": "2024-01-10T16:00:00Z"
    },
    {
      "id": "sys-002",
      "name": "ServiceGrid Core",
      "description": "Core work order management",
      "githubIssue": 123,
      "status": "in-progress",
      "dependencies": ["sys-001"],
      "priority": 1,
      "startedAt": "2024-01-11T09:00:00Z"
    },
    {
      "id": "sys-003",
      "name": "Route Optimization",
      "description": "Intelligent route planning",
      "githubIssue": 124,
      "status": "specified",
      "dependencies": ["sys-002"],
      "priority": 2
    },
    {
      "id": "sys-004",
      "name": "Analytics Dashboard",
      "description": "Operational analytics and reporting",
      "githubIssue": null,
      "status": "discovered",
      "dependencies": ["sys-002"],
      "priority": 3
    }
  ]
}

Queue Status Values

Status Meaning
discovered Identified but not yet specified
specified FeatureSpec complete, GitHub issue created
ready Dependencies met, can start implementation
in-progress Currently being built
review Implementation complete, in PR review
complete Merged and deployed
blocked Cannot proceed (document reason)

Queue Operations

Add system:

// Append to systems array
{
  "id": "sys-005",
  "name": "New System",
  "status": "discovered",
  "dependencies": ["sys-002"],
  "priority": 4
}

Update status:

// Find by id, update status
"status": "in-progress",
"startedAt": "2024-01-16T09:00:00Z"

Get next ready:

// Find first system where:
// - status === 'specified' or 'ready'
// - all dependencies have status === 'complete'
// - ordered by priority (lowest number first)

β†’ See references/queue-operations.md

Step 8: Publish to GitHub

Issue Creation

Use GitHub CLI or API:

# Create issue with FeatureSpec
gh issue create \
  --repo "org/repo" \
  --title "🎯 System: ServiceGrid Core" \
  --body-file FEATURESPEC.md \
  --label "domain:azure-standard" \
  --label "system:servicegrid" \
  --label "status:specified" \
  --label "priority:p1"

Issue Body Template

## 🎯 System: [Name]

**Domain:** [Domain name]
**Priority:** P[1-5]
**Dependencies:** #[issue numbers] or None
**Estimated Complexity:** [Small/Medium/Large/XL]

---

### Overview

[Brief 2-3 sentence description]

---

### FeatureSpec

<details>
<summary>Click to expand full specification</summary>

[Full 18-section FeatureSpec here]

</details>

---

### Acceptance Criteria

- [ ] [Criterion 1 from spec]
- [ ] [Criterion 2 from spec]
- [ ] [Criterion 3 from spec]
- [ ] All tests passing
- [ ] Documentation complete
- [ ] Security audit passed
- [ ] Performance targets met

---

### Labels

- `domain:[name]` β€” Which domain this belongs to
- `system:[name]` β€” System identifier
- `status:specified` β€” Ready for implementation
- `priority:p[1-5]` β€” Build order priority

Linking Dependencies

After creating issues, link them:

# Add dependency note to issue body
gh issue edit 124 --body "... **Dependencies:** #123 ..."

# Or use GitHub Projects for visual dependency tracking

β†’ See references/github-issue-format.md

Outputs

Entry Portal produces:

Output Location Purpose
Dream State domain-memory/{domain}/dream-state.md Vision document
System Queue domain-memory/{domain}/system-queue.json Tracking state
FeatureSpecs GitHub issues Implementation specs
Dependency Graph Documented in queue Build order

Relationship to Other Skills

Skill Relationship
requirements Entry portal uses requirements patterns for clarification
spec Entry portal invokes spec to generate FeatureSpecs
engineering (loop) Entry portal produces inputs for the engineering loop

Key Principles

Clarify before specifying. Don't generate a spec from ambiguous input.

Decompose thoughtfully. Too many small systems = coordination overhead. Too few large systems = complexity and risk.

Dependencies matter. Build order is determined by dependencies, not preferences.

One issue, one system. Each GitHub issue represents exactly one deployable system.

Queue is source of truth. The JSON queue file tracks all state.

Mode-Specific Behavior

Entry portal behavior differs by orchestrator mode:

Greenfield Mode

Aspect Behavior
Scope Fuzzy requirements, vision statements
Approach Full discovery with extensive clarification
Patterns Free choiceβ€”establishing new patterns
Deliverables Dream state + FeatureSpecs + system queue
Validation Vision captured, systems decomposed
Constraints Minimalβ€”full creative freedom

Brownfield-Polish Mode

Aspect Behavior
Scope Existing codebase + gap analysis
Approach Gap discoveryβ€”codebase defines scope
Patterns Should match existing codebase patterns
Deliverables Gap list + polish queue items
Validation All gaps identified and categorized
Constraints Must not alter existing functionality

Polish considerations:
- Analyze codebase before defining work items
- Group gaps by category (deploy, UI, data, tests)
- Queue polish items, not full systems
- Prioritize by impact/effort ratio

Brownfield-Enterprise Mode

Aspect Behavior
Scope Change request + pattern discovery
Approach Surgicalβ€”single focused change
Patterns Must conform exactly to existing
Deliverables Minimal change spec only
Validation Patterns identified, scope minimized
Constraints Requires approval workflow

Enterprise constraints:
- Match existing coding patterns exactly
- Respect existing architecture decisions
- Identify and follow approval workflows
- Plan for multi-team coordination


References

  • references/clarifying-questions.md: Question framework for requirements
  • references/dream-state-template.md: Template for domain vision
  • references/system-decomposition.md: Breaking down into systems
  • references/queue-operations.md: Managing the system queue
  • references/github-issue-format.md: Issue templates and labels

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.