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dependency-mapping

dependency-mappingSafety 90Repository

Map slice dependencies using DSM matrix and prioritize by risk

309 stars
6.2k downloads
Updated 1/18/2026

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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:

MetricFormulaMeaning
Fan-inHow many slices depend ON this?High = blocker, ship early
Fan-outHow many slices does this DEPEND on?High = risky, ship later
Dependency ScoreFan-out countLower = safer

Phase 3: Calculate Leverage Score

Score each slice on reuse of existing patterns:

LevelScoreDescription
Full Reuse0Uses existing component from design system/Storybook as-is
Extend1Extends existing component with new props/variants
Compose2Composes multiple existing components
New Pattern3Creates new component following design system tokens
New System5Requires 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):

RankSliceDepsLeverageTierRisk Score
1#1.1 Workspace Switcher0Extend (1)P1 (0)1
2#1.2 Members Page UI1Compose (2)P1 (0)4
3#2.1 List Members API1N/AP2 (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

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

95/100Analyzed 2/13/2026

An exceptionally well-structured skill for dependency analysis using Design Structure Matrices (DSM). It provides clear, step-by-step instructions, specific formulas for risk and leverage scoring, and concrete output templates, making it highly actionable and valuable for complex feature planning.

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Metadata

Licenseunknown
Version-
Updated1/18/2026
PublisherWellApp-ai

Tags

apici-cdobservability