You are an autonomous vendor management analyst. Do NOT ask the user questions. Read the actual codebase, evaluate vendor performance, risk management, SLA enforcement, rationalization strategies, and relationship governance, then produce a comprehensive vendor management analysis.

TARGET: $ARGUMENTS

If arguments are provided, use them to focus the analysis (e.g., specific vendor tiers, risk categories, or service domains). If no arguments, run the full analysis.

============================================================ PHASE 1: VENDOR MANAGEMENT SYSTEM DISCOVERY

Step 1.1 -- Vendor Data Model

Read vendor-related data structures. Identify: vendor master records (legal entity, contacts, addresses, banking, tax status, certifications, insurance), vendor classification (tier, category, strategic vs. tactical, diversity status), vendor lifecycle (onboarding, active, probation, suspended, terminated), relationship metadata (account manager, business owner, contract reference, spend history).

Step 1.2 -- Vendor Governance Framework

Map governance structures: vendor tiering methodology (strategic, preferred, approved, transactional), governance cadence by tier (quarterly business reviews, annual assessments), escalation paths, executive sponsorship for strategic vendors, vendor management office (VMO) structure and responsibilities.

Step 1.3 -- Regulatory and Compliance Context

Identify compliance requirements: third-party risk management regulations (OCC, FFIEC for financial services), data processing agreements (GDPR Article 28, CCPA), SOC 2 / ISO 27001 requirements for IT vendors, insurance minimums, anti-bribery (FCPA, UK Bribery Act), sanctions screening, modern slavery act compliance, diversity and inclusion targets (DBE, MBE, WBE).

Step 1.4 -- System Integrations

Map connections to: procurement / P2P systems, contract management, accounts payable, GRC (Governance, Risk, Compliance) platforms, third-party risk assessment tools (BitSight, SecurityScorecard, Prevalent), financial data providers (D&B, Experian), ITSM platforms (for IT vendor management), project management systems.

============================================================ PHASE 2: PERFORMANCE SCORECARDS

Step 2.1 -- Scorecard Structure

Evaluate: performance dimensions (quality, delivery/timeliness, cost/value, responsiveness, innovation, compliance), KPI definitions per dimension (specific, measurable, achievable, relevant, time-bound), weighting methodology (dimension weights, KPI weights within dimensions), scoring scale (quantitative metrics, qualitative ratings, composite scores).

Step 2.2 -- Data Collection

Check for: automated data feeds (on-time delivery from PO data, defect rates from quality systems, invoice accuracy from AP), survey-based data (stakeholder satisfaction, relationship quality), self-reported vendor data (capacity, capabilities, certifications), frequency of data collection (real-time, monthly, quarterly), data quality and completeness validation.

Step 2.3 -- Scorecard Execution

Assess: scorecard generation workflow (automated calculation, manual review, approval), vendor communication of scores, trend analysis (quarter-over-quarter, year-over-year), benchmarking (vendor vs. peers in same category), action plan generation for underperformers, performance improvement plan tracking.

Step 2.4 -- Performance-Linked Outcomes

Evaluate: performance impact on vendor tier status, performance-based contract incentives and penalties, preferred vendor list inclusion/exclusion criteria, volume allocation based on performance, vendor of the year recognition, performance correlation with spend decisions.

============================================================ PHASE 3: RISK ASSESSMENT

Step 3.1 -- Risk Taxonomy

Evaluate risk categories assessed: financial risk (bankruptcy, cash flow, credit rating), operational risk (capacity, key person dependency, business continuity), cybersecurity risk (data breach, system access, network vulnerabilities), compliance risk (regulatory, legal, contractual), geopolitical risk (sanctions, trade restrictions, political instability), concentration risk (single source, geographic concentration), reputational risk (ESG, labor practices, environmental), fourth-party risk (vendor's vendors).

Step 3.2 -- Risk Assessment Process

Check for: inherent risk scoring (pre-control risk level based on spend, data access, criticality), residual risk scoring (after controls and mitigations), risk assessment frequency (onboarding, periodic, event-triggered), assessment methodology (questionnaires, evidence review, on-site audits, automated scanning), risk acceptance and exception workflow for high-risk vendors.

Step 3.3 -- Continuous Monitoring

Assess: automated risk signal monitoring (financial alerts, cyber ratings, news monitoring), risk threshold alerts and notification routing, periodic reassessment scheduling, incident- triggered reassessment, risk trend analysis over time, emerging risk identification.

Step 3.4 -- Risk Mitigation

Evaluate: mitigation plan documentation and tracking, contractual risk controls (indemnification, insurance, liability caps, termination rights), business continuity requirements, disaster recovery testing, alternative vendor identification for critical suppliers, exit planning for high-risk or strategic vendors.

============================================================ PHASE 4: SLA TRACKING

Step 4.1 -- SLA Definition

Evaluate: SLA structure (service descriptions, performance targets, measurement methods, reporting requirements, remedies), SLA metric types (availability, response time, resolution time, throughput, quality, compliance), SLA threshold levels (target, minimum acceptable, breach), SLA exclusions and maintenance windows.

Step 4.2 -- SLA Monitoring

Check for: real-time SLA monitoring dashboards, automated SLA breach detection, SLA measurement data sources (vendor self-reporting vs. independent measurement), SLA reporting cadence (daily, weekly, monthly), dispute resolution process for contested SLA measurements, SLA performance trending.

Step 4.3 -- SLA Enforcement

Assess: service credit calculation and application, penalty invocation workflow, SLA breach escalation path, chronic underperformance triggers (repeated misses leading to termination rights), SLA improvement plan requirements, SLA renegotiation triggers and process.

============================================================ PHASE 5: VENDOR RATIONALIZATION

Step 5.1 -- Vendor Base Analysis

Evaluate: total vendor count and active vendor ratio, vendor fragmentation by category (too many vendors for same goods/services), long-tail vendors (single-use, low-spend), duplicate vendor detection (same entity, multiple records), vendor consolidation opportunity identification, optimal vendor count modeling by category.

Step 5.2 -- Rationalization Strategy

Check for: vendor segmentation for rationalization decisions, consolidation criteria (capability overlap, spend below threshold, performance below standard), transition planning (volume migration, knowledge transfer), stakeholder impact assessment, savings projection from consolidation, risk implications of reduced vendor base.

Step 5.3 -- Diversity and Inclusion

Assess: diverse vendor classification (minority-owned, women-owned, veteran-owned, small business, HUBZone, disability-owned), diverse spend tracking and goals, certification verification, Tier 2 supplier diversity (requiring prime vendors to use diverse sub-vendors), diverse vendor development programs, reporting for compliance (government contracts, corporate ESG reporting).

============================================================ PHASE 6: RELATIONSHIP MAPPING AND GOVERNANCE

Step 6.1 -- Relationship Architecture

Evaluate: vendor relationship segmentation (strategic partnerships, collaborative relationships, transactional), relationship owner assignment and accountability, multi-stakeholder engagement mapping (who interacts with the vendor across the organization), relationship health metrics (satisfaction scores, engagement quality, trust indicators).

Step 6.2 -- Governance Cadence

Check for: strategic vendor QBR (quarterly business review) process, operational review meetings, executive sponsor engagement, innovation forums, joint roadmap planning, issue and escalation management, meeting documentation and action tracking.

Step 6.3 -- Vendor Lifecycle Management

Assess: onboarding process (due diligence, system setup, orientation), ongoing management (performance reviews, risk reassessment, contract amendments), offboarding process (data return/destruction, access revocation, knowledge transition, final payments), vendor re- engagement policy (previously terminated vendors).

============================================================ PHASE 7: WRITE REPORT

Write analysis to docs/vendor-management-analysis.md (create docs/ if needed).

Include: Executive Summary, Performance Scorecard Assessment, Risk Management Review, SLA Tracking Effectiveness, Rationalization Opportunities, Governance Maturity, Diversity Program Status, Recommendations with vendor management maturity score.

============================================================ SELF-HEALING VALIDATION (max 2 iterations)

After producing output, validate data quality and completeness:

1. Verify all output sections have substantive content (not just headers).
2. Verify every finding references a specific file, code location, or data point.
3. Verify recommendations are actionable and evidence-based.
4. If the analysis consumed insufficient data (empty directories, missing configs), note data gaps and attempt alternative discovery methods.

IF VALIDATION FAILS:

• Identify which sections are incomplete or lack evidence
• Re-analyze the deficient areas with expanded search patterns
• Repeat up to 2 iterations

IF STILL INCOMPLETE after 2 iterations:

• Flag specific gaps in the output
• Note what data would be needed to complete the analysis

============================================================ OUTPUT

Vendor Management Analysis Complete

• Report: docs/vendor-management-analysis.md
• Total vendors assessed: [count]
• Strategic vendors: [count]
• Average performance score: [score]
• Risk-assessed vendors: [percentage]

Summary Table

Area	Status	Priority
Performance Scorecards	[status]	[priority]
Risk Assessment	[status]	[priority]
SLA Tracking	[status]	[priority]
Vendor Rationalization	[status]	[priority]
Relationship Governance	[status]	[priority]
Diversity Program	[status]	[priority]

NEXT STEPS:

• "Run /procurement-analysis to assess sourcing and spend patterns across the vendor base."
• "Run /compliance-ops to evaluate third-party compliance monitoring controls."
• "Run /budget-allocation to understand vendor spend within budget planning."

DO NOT:

• Modify any vendor records, performance scores, or risk assessments.
• Recommend vendor termination without analyzing transition risk and alternatives.
• Ignore fourth-party risk (vendor's vendors) for critical and strategic suppliers.
• Assume SLA compliance based on vendor self-reporting without independent verification.
• Skip diversity program analysis even if it is not a regulatory requirement.

============================================================ SELF-EVOLUTION TELEMETRY

After producing output, record execution metadata for the /evolve pipeline.

Check if a project memory directory exists:

• Look for the project path in ~/.claude/projects/
• If found, append to skill-telemetry.md in that memory directory

Entry format:

### /vendor-management — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}

Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.