Agent Skills: ID Register

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UncategorizedID: mattgierhart/PRD-driven-context-engineering/ghm-id-register

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.claude/skills/ghm-id-register/SKILL.md

Skill Metadata

Name
ghm-id-register
Description
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ID Register

Validate and register new Source of Truth IDs with cross-reference integrity checks.

Workflow Overview

  1. Validate Format → Check ID follows [PREFIX]-[3-digit] pattern
  2. Check Uniqueness → Ensure ID doesn't already exist
  3. Verify Cross-Refs → All referenced IDs must exist
  4. Register Entry → Add to appropriate SoT file

Core Output Template

| Element | Definition | Evidence | |---------|------------|----------| | ID | Unique identifier | BR-101, UJ-045, API-012 | | Title | Short descriptive name | Clear, specific | | Cross-References | Links to related IDs | All referenced IDs exist | | Status | Current state | Draft / Active / Deprecated |

ID Format Reference

| Prefix | Domain | File | |--------|--------|------| | BR- | Business Rules | SoT/SoT.BUSINESS_RULES.md | | UJ- | User Journeys | SoT/SoT.USER_JOURNEYS.md | | API- | API Contracts | SoT/SoT.API_CONTRACTS.md | | CFD- | Customer Feedback | SoT/SoT.customer_feedback.md |

Step 1: Validate Format

Check ID follows the pattern:

[PREFIX]-[XXX]

Where:

  • PREFIX = BR, UJ, API, or CFD
  • XXX = 3-digit number (zero-padded)

Checklist

  • [ ] Prefix is valid (BR, UJ, API, CFD)
  • [ ] Number is 3 digits
  • [ ] Format matches [A-Z]+-[0-9]{3}

Step 2: Check Uniqueness

  1. Read target SoT file
  2. Extract all existing IDs of same prefix
  3. Verify new ID doesn't exist
  4. If auto-assigning: use highest existing + 1

Checklist

  • [ ] Target SoT file read
  • [ ] Existing IDs enumerated
  • [ ] New ID is unique

Step 3: Verify Cross-References

For each ID referenced in the new entry:

  1. Identify the prefix
  2. Check that ID exists in its SoT file
  3. Flag any missing references

Checklist

  • [ ] All BR-XXX references exist in BUSINESS_RULES
  • [ ] All UJ-XXX references exist in USER_JOURNEYS
  • [ ] All API-XXX references exist in API_CONTRACTS
  • [ ] All CFD-XXX references exist in CUSTOMER_FEEDBACK
  • [ ] Each cross-reference includes a relationship type (see references/cross-reference-patterns.md)
  • [ ] Relationship types match the directional hierarchy (vertical types for cross-layer, lateral types for same-layer)

Step 3.5: Evaluate Confidence (NEW)

Before registering, assign a confidence score (1-5) based on evidence strength:

| Score | Evidence Level | Examples | |-------|----------------|----------| | 1/5 | Assumption / PM decision | "We think users want X" | | 2/5 | Secondary research | Competitive analysis, market report | | 3/5 | Direct feedback | User interviews (3-5 conversations) | | 4/5 | Validated behavior | Beta testing, small-scale usage | | 5/5 | Production evidence | Real usage data at scale |

Question to ask: What's the highest evidence supporting this entry right now? What would move it to the next confidence level?

Example confidence annotations:

  • confidence: 2/5, source: competitive-analysis
  • confidence: 3/5, source: 5-user-interviews-jan-2026
  • confidence: 4/5, source: beta-cohort-validation

See .claude/skills/PRINCIPLES.md for detailed confidence model by SoT type.

Checklist

  • [ ] Confidence score assigned (1-5)
  • [ ] Highest evidence source identified
  • [ ] Forward path identified ("would move to X/5 if...")

Step 4: Register Entry

Add formatted entry to SoT file:

### [ID]: [Title]

**Status**: Draft
**Created**: YYYY-MM-DD
**Confidence**: [1-5]/5 (source: [evidence source])
**Next Confidence Target**: [What would move this to next level]
**Cross-References**: [List of related IDs]

[Description]

**Acceptance Criteria**:
- [ ] Criterion 1
- [ ] Criterion 2

Example entry with confidence:

### CFD-042: Users want dark mode

**Status**: Active
**Created**: 2026-02-01
**Confidence**: 3/5 (source: 5-user-interviews-jan-2026)
**Next Confidence Target**: 4/5 (would require beta cohort validation)
**Cross-References**: FEA-008 (dark mode feature)

During interviews, 4 of 5 users mentioned desire for dark mode. Competitors (Notion, Linear, Figma) all have it.

**Acceptance Criteria**:
- [ ] Feature FEA-008 delivered to beta cohort
- [ ] Track usage: % of beta users enabling dark mode

Quality Gates

Pass Checklist

  • [ ] ID format is valid
  • [ ] ID is unique within its domain
  • [ ] All cross-references resolve
  • [ ] Entry follows SoT template
  • [ ] Confidence score assigned (1-5) with source documented
  • [ ] Next confidence target identified

Testability Check

  • [ ] ID can be searched and found
  • [ ] Cross-references are bidirectional (if required)
  • [ ] Confidence score is honest (reflects actual evidence, not wishful thinking)

Anti-Patterns

| Pattern | Example | Fix | |---------|---------|-----| | Duplicate ID | Creating BR-101 when it exists | → Check uniqueness first | | Orphan reference | References UJ-999 that doesn't exist | → Verify all cross-refs | | Wrong prefix | Using BR- for an API contract | → Match prefix to domain | | Missing zero-pad | BR-5 instead of BR-005 | → Always use 3 digits | | Inflated confidence | Assigning 4/5 to a PM assumption | → Be honest about evidence level | | No confidence source | "confidence: 3/5" with no source | → Always record source (CFD-001, user-interview-jan, etc.) | | Missing confidence target | Confidence assigned but no forward path | → Ask "what would move this to 4/5?" |

Boundaries

DO:

  • Format validation
  • Uniqueness checks
  • Cross-reference verification
  • Entry formatting

DON'T:

  • Content decisions about ID meaning
  • Approve/reject based on business logic
  • Modify existing IDs

Handoff

After ID registration:

  • New ID is in SoT file
  • Cross-references are valid
  • EPIC Execution Plan updated with new ID
  • Ready for implementation