/nw-shared-artifact-tracking
Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
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/nw-shared-artifact-tracking
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Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
SKILL.md
nw-shared-artifact-tracking.SKILL.mdname: nw-shared-artifact-tracking
description: Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
user-invocable: false
disable-model-invocation: true
Shared Artifact Tracking
Purpose
Shared artifacts are data values appearing in multiple places across a journey. Every ${variable} must have a single source of truth and documented consumers. Untracked artifacts are the primary cause of horizontal integration failures.
Artifact Registry Schema
shared_artifacts:
{artifact_name}:
source_of_truth: "{canonical file path}"
consumers: ["{list of places this value appears}"]
owner: "{responsible feature/component}"
integration_risk: "HIGH|MEDIUM|LOW - {explanation}"
validation: "{How to verify consistency}"Common Artifact Patterns
Version
Source: `pyproject.toml` | Consumers: CLI --version, about command, README, install output Risk: HIGH -- version mismatch breaks user trust
Install Path
Source: `config/paths.yaml` or `constants.py` | Consumers: install script, uninstall script, documentation Risk: HIGH -- path mismatch breaks installation
Repository URL
Source: `pyproject.toml` or config | Consumers: README, error messages, install docs Risk: MEDIUM -- URL mismatch breaks external links
Configuration Values
Source: config file or environment variable | Consumers: runtime behavior, documentation, defaults display Risk: MEDIUM -- inconsistency causes confusion
Command Names
Source: CLI argument parser definition | Consumers: help text, documentation, error messages, tutorials Risk: HIGH -- name mismatch makes features undiscoverable
Integration Validation
Consistency Check Process
1. List all shared artifacts from journey schema 2. For each artifact, verify source of truth exists 3. For each consumer, verify it references correct source 4. Flag any artifact without documented source 5. Flag any consumer that hardcodes instead of referencing source
Validation Questions
- "Does every ${variable} in TUI mockups have a documented source?"
- "If the version changes, would all consumers automatically update?"
- "Are there hardcoded values that should reference a shared artifact?"
- "Do any two steps display the same data from different sources?"
Quality Gates
Journey completeness: all steps have clear goals | CLI commands/actions | emotional annotations | shared artifacts tracked | integration checkpoints defined
Emotional coherence: emotional arc defined (start/middle/end) | no jarring transitions | confidence builds progressively | error states guide to resolution
Horizontal integration: all shared artifacts have single source of truth | all consumers documented | integration checkpoints validate consistency | CLI vocabulary consistent
CLI UX compliance: command structure follows chosen pattern | help available on all commands | progressive disclosure implemented | error messages actionable
Handoff Specifications
To Requirements Crafting (internal handoff within Luna)
Artifacts: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (complete journey with emotional arc) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (tracked artifacts with sources)
Validation: journey complete with all steps | emotional arc defined | shared artifacts documented | CLI vocabulary consistent
To Acceptance Designer (Quinn)
Deliverables: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (journey schema) | `docs/feature/{feature-id}/discuss/journey-{name}.feature` (Gherkin scenarios) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (integration validation points)
Validation: all product-owner checks passed | Gherkin scenarios generated | integration checkpoints testable | peer review approved
Read more
name: nw-shared-artifact-tracking description: Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence. user-invocable: false disable-model-invocation: true
Shared Artifact Tracking
Purpose
Shared artifacts are data values appearing in multiple places across a journey. Every ${variable} must have a single source of truth and documented consumers. Untracked artifacts are the primary cause of horizontal integration failures.
Artifact Registry Schema
shared_artifacts:
{artifact_name}:
source_of_truth: "{canonical file path}"
consumers: ["{list of places this value appears}"]
owner: "{responsible feature/component}"
integration_risk: "HIGH|MEDIUM|LOW - {explanation}"
validation: "{How to verify consistency}"Common Artifact Patterns
Version
Source: `pyproject.toml` | Consumers: CLI --version, about command, README, install output Risk: HIGH -- version mismatch breaks user trust
Install Path
Source: `config/paths.yaml` or `constants.py` | Consumers: install script, uninstall script, documentation Risk: HIGH -- path mismatch breaks installation
Repository URL
Source: `pyproject.toml` or config | Consumers: README, error messages, install docs Risk: MEDIUM -- URL mismatch breaks external links
Configuration Values
Source: config file or environment variable | Consumers: runtime behavior, documentation, defaults display Risk: MEDIUM -- inconsistency causes confusion
Command Names
Source: CLI argument parser definition | Consumers: help text, documentation, error messages, tutorials Risk: HIGH -- name mismatch makes features undiscoverable
Integration Validation
Consistency Check Process
1. List all shared artifacts from journey schema 2. For each artifact, verify source of truth exists 3. For each consumer, verify it references correct source 4. Flag any artifact without documented source 5. Flag any consumer that hardcodes instead of referencing source
Validation Questions
- "Does every ${variable} in TUI mockups have a documented source?"
- "If the version changes, would all consumers automatically update?"
- "Are there hardcoded values that should reference a shared artifact?"
- "Do any two steps display the same data from different sources?"
Quality Gates
Journey completeness: all steps have clear goals | CLI commands/actions | emotional annotations | shared artifacts tracked | integration checkpoints defined
Emotional coherence: emotional arc defined (start/middle/end) | no jarring transitions | confidence builds progressively | error states guide to resolution
Horizontal integration: all shared artifacts have single source of truth | all consumers documented | integration checkpoints validate consistency | CLI vocabulary consistent
CLI UX compliance: command structure follows chosen pattern | help available on all commands | progressive disclosure implemented | error messages actionable
Handoff Specifications
To Requirements Crafting (internal handoff within Luna)
Artifacts: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (complete journey with emotional arc) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (tracked artifacts with sources)
Validation: journey complete with all steps | emotional arc defined | shared artifacts documented | CLI vocabulary consistent
To Acceptance Designer (Quinn)
Deliverables: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (journey schema) | `docs/feature/{feature-id}/discuss/journey-{name}.feature` (Gherkin scenarios) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (integration validation points)
Validation: all product-owner checks passed | Gherkin scenarios generated | integration checkpoints testable | peer review approved
AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
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