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npx skills add miles-knowbl/orchestrator --skill "dependency-mapping"
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# Description
Map cross-pipeline dependencies and handoffs (X-series). Identifies where pipelines connect, share data, or have timing dependencies. Documents failure modes at integration boundaries that span multiple pipelines.
# SKILL.md
name: dependency-mapping
description: "Map cross-pipeline dependencies and handoffs (X-series). Identifies where pipelines connect, share data, or have timing dependencies. Documents failure modes at integration boundaries that span multiple pipelines."
phase: INIT
category: core
version: "1.0.0"
depends_on: [pipeline-discovery, ui-pipeline-discovery]
tags: [audit, pipeline, dependencies, integration, cross-cutting]
Dependency Mapping
Map cross-pipeline dependencies (X-series).
When to Use
- After pipeline discovery β Runs after P-series and U-series are identified
- Understanding integration points β Document where pipelines connect
- Identifying cross-cutting failures β Find failure modes at boundaries
- When you say: "map the dependencies", "find integration points", "what connects these?"
Reference Requirements
MUST read before applying this skill:
| Reference | Why Required |
|---|---|
dependency-identification.md |
How to find cross-pipeline dependencies |
dependency-diagram.md |
Visualization format |
Read if applicable:
| Reference | When Needed |
|---|---|
x-series-patterns.md |
Common cross-pipeline failure patterns |
Verification: All pipeline handoffs are documented with failure modes.
Required Deliverables
| Deliverable | Location | Condition |
|---|---|---|
| Dependency map | AUDIT-SCOPE.md |
Always (X-series section) |
| X-series failure modes | PIPELINE-FAILURE-MODES.md |
Always |
Core Concept
Dependency Mapping answers: "Where do pipelines connect and what can fail there?"
Cross-pipeline failures occur at:
- Data handoffs β One pipeline's output is another's input
- Shared state β Multiple pipelines read/write same data
- Timing dependencies β One pipeline must complete before another starts
- Event chains β One pipeline triggers another
These are often the most dangerous failures because:
- No single pipeline "owns" them
- They're invisible in unit tests
- They only appear under specific conditions
Dependency Types
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β DEPENDENCY TYPES β
β β
β DATA HANDOFF β
β P1 produces data β P2 consumes it β
β X-001: P1 output missing field P2 expects β
β β
β SHARED STATE β
β P1 and U1 both read/write user.preferences β
β X-002: Race condition on concurrent updates β
β β
β TIMING DEPENDENCY β
β P2 must wait for P1.source_schema to exist β
β X-003: P2 runs before P1 completes β
β β
β EVENT CHAIN β
β P3.publish triggers U2.notification β
β X-004: Event lost, notification never shows β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Discovery Process
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β DEPENDENCY MAPPING PROCESS β
β β
β 1. FOR EACH PIPELINE β
β βββ What data does it consume? (inputs) β
β βββ What data does it produce? (outputs) β
β β
β 2. FIND CONNECTIONS β
β βββ Where output of one = input of another β
β β
β 3. IDENTIFY SHARED STATE β
β βββ Tables/state accessed by multiple pipelines β
β β
β 4. MAP TIMING DEPENDENCIES β
β βββ What must exist before pipeline can run β
β β
β 5. DOCUMENT FAILURE MODES β
β βββ What can go wrong at each boundary β
β β
β 6. ASSIGN X-SERIES IDS β
β βββ X-001, X-002... per dependency β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Dependency Documentation Format
### X-001: P1 β P2 (source_schema handoff)
**Type:** Data Handoff
**From:** P1 (Source Ingestion)
**To:** P2 (Content Generation)
**Dependency:**
P2 reads `source_schema` produced by P1 to build prompts.
**Failure Modes:**
| ID | Failure | Severity | Detection |
|----|---------|----------|-----------|
| X-001a | source_schema is null | S4-Blocking | P2 throws |
| X-001b | source_schema is stale | S1-Silent | Lower quality output |
| X-001c | source_schema format changed | S3-Visible | Parse error |
**Validation:**
- [ ] P2 checks source_schema exists before use
- [ ] P2 handles null gracefully
- [ ] Schema version is validated
Output Format
In AUDIT-SCOPE.md
## Cross-Pipeline Dependencies (X-series)
### Dependency Map
P1 (Source Ingestion)
β
βββ[source_schema]βββΊ P2 (Content Generation)
β β
βββ[source_id]ββββββββββΊβββ[artifact_id]βββΊ U1 (Chat-to-Edit)
β
βββ[artifact_id]βββΊ P3 (Publishing)
β
βββ[post_status]βββΊ U3 (Status Display)
### Dependencies
| ID | Type | From | To | Data | Risk |
|----|------|------|----|----|------|
| X-001 | Data Handoff | P1 | P2 | source_schema | High |
| X-002 | Shared State | P2, U1 | - | artifact.content | Medium |
| X-003 | Timing | P1 | P2 | source ready | High |
| X-004 | Event Chain | P3 | U3 | publish event | Medium |
In audit-state.json
{
"dependencies": [
{
"id": "X-001",
"type": "data_handoff",
"from": "P1",
"to": "P2",
"data": "source_schema",
"failure_modes": ["X-001a", "X-001b", "X-001c"]
}
]
}
Common X-Series Patterns
| Pattern | Example | Typical Failures |
|---|---|---|
| Schema Handoff | P1 schema β P2 prompt | Missing fields, format changes |
| ID Reference | P2 artifact_id β U1 edit | Invalid ID, deleted entity |
| Status Sync | P3 status β U3 display | Stale status, race condition |
| Event Propagation | P3 event β U2 notification | Lost event, duplicate delivery |
| Context Sync | U1 selection β U2 action | Stale context, wrong entity |
Failure Mode Format
X-series failure modes follow the same MECE taxonomy:
id: X-001a
dependency: X-001
location: L4-Integration # Always L4 for cross-pipeline
type: T1-Data
severity: S4-Blocking
description: source_schema is null when P2 runs
impact: Generation fails completely
detection: Error thrown in P2
status: UNVALIDATED
Validation Checklist
- [ ] All P-series outputs mapped to consumers
- [ ] All U-series context dependencies documented
- [ ] Shared state identified and race conditions analyzed
- [ ] Timing dependencies have validation checks
- [ ] Each dependency has at least one failure mode
- [ ] X-series IDs assigned consistently
# 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.