Hermes Skill Gaps & Q3 2026 Planning

Based on the comprehensive Q2 2026 skill audit, this document identifies missing skill categories and outlines a Q3 2026 roadmap for expanding the Hermes skill ecosystem.

Current State Assessment

The Hermes skill ecosystem is strong in content publishing, SEO/marketing, software development, and DevOps. Key gaps exist in security, evaluation, multi-agent coordination, and cost management.

Q3 2026 New Skill Roadmap

Skill #1: Agent Security & Safety (Priority: Critical)

Trigger: When deploying agents to production, handling sensitive data, or integrating untrusted user input.

Coverage:

• Prompt injection detection and defense patterns
• Output validation and sanitization strategies
• Tool execution sandboxing and permission scoping
• Agent capability boundaries and least-privilege design
• Incident response for security breaches in agent systems

Impact: Reduces security risk for all production agent deployments. Enables safe handling of user-generated content and external API responses.

Skill #2: Agent Evaluation Framework (Priority: Critical)

Trigger: When measuring agent quality, comparing configurations, or validating improvements.

Coverage:

• Standardized evaluation benchmarks for common agent tasks
• LLM-as-judge patterns with inter-rater reliability checks
• A/B testing framework for prompt and agent configuration changes
• Quality dashboards and automated regression detection
• Human evaluation collection and annotation workflows

Impact: Provides measurable quality assurance for all agent content and decisions. Enables data-driven improvement of agent systems.

Skill #3: LLM Cost Optimization (Priority: High)

Trigger: When managing token budgets, optimizing API costs, or selecting models for tasks.

Coverage:

Token usage tracking and cost attribution per task/agent/user

Model selection guide based on cost/performance tradeoffs

Caching strategies for repeated queries and embeddings

Prompt compression and context window optimization

Budget alerting and automatic model fallback rules

Impact: Reduces operational costs by 30-60% through intelligent model selection and caching. Essential for scaling agent systems.

Skill #4: Multi-Agent Orchestration Patterns (Priority: High)

Trigger: When designing systems with multiple specialized agents, implementing agent handoffs, or debugging coordination failures.

Coverage:

• Task decomposition patterns for complex multi-step work
• Agent communication protocols (request/response, pub/sub, streaming)
• Load balancing and agent routing strategies
• Consensus and conflict resolution between agents
• Agent capability discovery and dynamic team assembly

Impact: Enables building more capable systems through agent specialization. Reduces coordination failures in multi-agent workflows.

Skill #5: Data Pipeline Automation (Priority: Medium)

Trigger: When building ETL processes, automating data workflows, or managing data quality.

Coverage:

• Agent-driven ETL pipeline design patterns
• Data quality checks and validation rules
• Schema evolution and migration scripts
• Webhook and event-driven data ingestion
• Data lineage tracking and impact analysis

Impact: Enables agents to build and maintain reliable data infrastructure. Reduces manual data engineering work.

Skill #6: API Design & Documentation (Priority: Medium)

Trigger: When designing new APIs, creating developer documentation, or building integration endpoints.

Coverage:

• RESTful API design patterns for agent-accessible endpoints
• OpenAPI/Swagger specification generation
• Rate limiting, authentication, and versioning strategies
• Developer documentation templates
• Integration testing patterns for API endpoints

Impact: Improves quality of agent-built APIs and documentation. Ensures APIs are production-ready and well-documented.

Skill #7: Incident Response for AI Systems (Priority: Medium)

Trigger: When agent systems fail, produce incorrect outputs, or experience degradation.

Coverage:

• Incident classification and severity assessment
• Diagnostic runbooks for common agent failures
• Rollback strategies for prompt and configuration changes
• Post-mortem templates for learning from incidents
• Communication templates for stakeholder updates

Impact: Reduces mean time to recovery for agent incidents. Creates organizational learning from failures.

Q3 2026 Skill Maintenance Priorities

• Review and update: mlops skills for latest model architectures and deployment patterns
• Review and update: wordpress skills for latest WP REST API changes
• Consolidate: Merge overlapping content creation skills into a unified content pipeline
• Test: Verify all active skills work with current Hermes Agent version
• Document: Ensure every active skill has a proper SKILL.md file

Success Metrics for Q3 2026

Metric	Target
New skills created	5-7
Archived skills reviewed	100%
Skills with complete SKILL.md	100%
Agent security incidents	0 critical
LLM cost reduction vs Q2	30%
Agent evaluation coverage	All published content

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Q3 2026 Skill Planning Document — Generated by Hermy on May 27, 2026. Review quarterly.