skills/wellapp-ai/well/dependency-mapping

dependency-mapping

SKILL.md

Dependency Mapping Skill

Map dependencies between implementation slices using Design Structure Matrix (DSM), calculate risk scores, and recommend implementation sequence.

When to Use

  • During Ask mode Phase 2 (CONVERGE)
  • When planning multi-slice features
  • Before phasing to understand risk order

Instructions

Phase 1: Build DSM Matrix

Create a square matrix with slices on both axes. Mark dependencies with *:

         | #1.1 | #1.2 | #2.1 | #2.2 | #2.3 | #3.1 |
---------+------+------+------+------+------+------+
#1.1     |  -   |      |      |      |      |      |
#1.2     |  *   |  -   |      |      |      |      |
#2.1     |      |  *   |  -   |      |      |      |
#2.2     |      |      |  *   |  -   |      |  *   |
#2.3     |      |  *   |  *   |      |  -   |      |
#3.1     |      |      |      |      |      |  -   |

Legend: * = row depends on column
Reading: Row #2.2 has * in columns #2.1 and #3.1 = #2.2 depends on #2.1 AND #3.1

Phase 2: Calculate Dependency Score

For each slice, count:

Metric Formula Meaning
Fan-in How many slices depend ON this? High = blocker, ship early
Fan-out How many slices does this DEPEND on? High = risky, ship later
Dependency Score Fan-out count Lower = safer

Phase 3: Calculate Leverage Score

Score each slice on reuse of existing patterns:

Level Score Description
Full Reuse 0 Uses existing component from design system/Storybook as-is
Extend 1 Extends existing component with new props/variants
Compose 2 Composes multiple existing components
New Pattern 3 Creates new component following design system tokens
New System 5 Requires new patterns not in design system

Check these sources before scoring:

  • /docs/design-system/components.md - Existing components
  • Glob **/*.stories.tsx - Storybook patterns
  • SemanticSearch for similar implementations in codebase

Phase 4: Calculate Risk Score

Risk Score = (Dependencies x 2) + Leverage + PriorityTier

Where PriorityTier:
- P1 (Frontend-only) = 0
- P2 (Frontend + Backend non-breaking) = 1
- P3 (Backend contract changes) = 2
- P4 (Data model changes) = 3

Phase 5: Identify Blockers

Flag slices that block others (high fan-in):

#3.1 WorkspaceInvite Entity
  Fan-in: 3 (blocks #2.2, #2.3, #2.4)
  RECOMMENDATION: Consider stub/mock for Phase 1, or ship early despite risk

Phase 6: Rank by Risk

Sort slices by Risk Score (lowest first = ships first):

Rank Slice Deps Leverage Tier Risk Score
1 #1.1 Workspace Switcher 0 Extend (1) P1 (0) 1
2 #1.2 Members Page UI 1 Compose (2) P1 (0) 4
3 #2.1 List Members API 1 N/A P2 (1) 4

Output Format

## Dependency Analysis

### DSM Matrix

[Matrix as shown above]

### Risk Scoring

| Slice | Deps | Leverage | Tier | Risk | Rank |
|-------|------|----------|------|------|------|
| [Slice] | [N] | [Level (score)] | P[N] | [Score] | [#] |

### Blockers Identified

| Slice | Blocks | Fan-in | Recommendation |
|-------|--------|--------|----------------|
| [Slice] | [List] | [N] | [Stub/Ship early/etc] |

### Recommended Sequence

1. [Lowest risk slice] - [Why safe]
2. [Next slice] - [Dependencies satisfied by #1]
...

### Existing System Leverage

| Component | Source | Slices Using | LOC Saved |
|-----------|--------|--------------|-----------|
| [Component] | [design-system/Storybook] | [List] | ~[N] |

Invocation

Invoke manually with "use dependency-mapping skill" or follow Ask mode Phase 2 (CONVERGE) which references this skill.

Related Skills

  • phasing - Uses risk scores to group into phases
  • design-context - Identifies existing patterns to leverage
  • gtm-alignment - May override risk-based order for GTM priority
Weekly Installs
2
Repository
wellapp-ai/well
GitHub Stars
314
First Seen
Feb 12, 2026
Installed on
opencode2
gemini-cli2
antigravity2
claude-code2
windsurf2
cursor2