hermes-profiles

The craft of being a Chief of Staff — gatekeeping, force multiplication, executive briefing, organizational sensing, institutional memory, and meeting/calendar triage. Provides the frameworks and templates that make an executive more effective by managing their capacity, information flow, and decision surface.

Use when designing, operating, reviewing, or improving production reliability with SLOs, incident command, observability, error budgets, and operational excellence.

Use when exploring adjacent ideas, overlooked angles, or lateral research paths without prematurely collapsing into a single answer.

Shared decision-making and governance methodology for all C-suite profiles. Covers decision frameworks (RAPID, DACI, decision matrices, pre-mortems, red-teaming), strategic thinking patterns (inversion, first principles, second-order effects), stakeholder communication (executive summaries, board decks, strategy memos), and governance frameworks (risk appetite, delegation levels, escalation paths).

CFO methodology for unit economics, financial modeling, pricing strategy, fundraising, budget frameworks, and SaaS metrics. Covers CAC/LTV/payback analysis, revenue projections, cost structures, runway analysis, scenario planning, value-based pricing, cap tables, term sheets, zero-based budgeting, rolling forecasts, ARR/MRR, churn, NDR, Rule of 40, and Magic Number.

CMO methodology — positioning and messaging frameworks (April Dunford's positioning, message hierarchy), customer acquisition strategy (paid, organic, PLG, SLG), brand architecture (brand house vs house of brands), growth modeling (CAC/LTV by channel, cohort analysis), market entry strategy (beachhead, land-and-expand), competitive response (pricing wars, feature races, brand defense).

CLO/General Counsel methodology — regulatory landscape analysis (GDPR, CCPA, AI Act, sector-specific), IP strategy (patent, trademark, trade secret, open source licensing), contract risk assessment (indemnification, liability caps, force majeure), data privacy frameworks (privacy-by-design, DPIAs, data mapping), corporate governance (board responsibilities, fiduciary duties, shareholder rights), employment law (classification, IP assignment, non-competes).

COO methodology for process design, organizational scaling, operational metrics, compliance and audit, vendor management, and team topology. Covers value stream mapping, BPMN, bottleneck analysis, scaling from 10 to 100 to 1000 people, KPI design, balanced scorecard, SOC 2, ISO 27001, GDPR readiness, RFP processes, SLA design, vendor scorecards, team topologies, Conway's Law, and Dunbar's Number.

CHRO methodology — organizational design (team topologies, span of control, reporting structures), talent strategy (make-vs-buy, skill taxonomies, succession planning), compensation frameworks (market benchmarking, equity design, leveling), culture architecture (values codification, rituals, psychological safety), organizational health metrics (eNPS, retention risk, engagement surveys), DEI strategy (inclusive design, equitable systems, belonging).

CPO methodology — product vision and strategy (North Star, product principles), competitive analysis and positioning, roadmap prioritization (RICE, Kano, OST), product-market fit frameworks (Sean Ellis test, retention curves), market sizing (TAM/SAM/SOM), platform strategy, product lifecycle management.

CEO methodology for strategic planning, competitive analysis, growth strategy, and resource allocation. Covers OKRs, mission/vision/values definition, competitive moat analysis (Porter's Five Forces, Blue Ocean), strategic narrative construction, growth frameworks (Ansoff Matrix, Three Horizons), capital allocation strategy, and M&A evaluation.

CTO methodology for technology evaluation, architecture governance, build-vs-buy decisions, engineering metrics, technical debt quantification, and innovation pipeline management. Covers technology radar framework (Adopt/Trial/Assess/Hold), TCO analysis, architecture review boards, RFC processes, DORA/SPACE/DevEx metrics, debt interest calculation, and POC-to-production readiness criteria.

Full issue-to-PR lifecycle with 5-phase gated pipeline. Produces contributions maintainers look forward to — project-aware, thoroughly tested, security-gated, well-documented. Skill bundle with sub-skills for security, test quality, documentation, clean-room verification, and vault integration.

Frontend engineering methodology — component architecture, state management, API integration, responsive layout, client-side performance, and frontend testing patterns. Framework agnostic, focused on web frontend implementation.

Backend engineering methodology — API implementation patterns (REST, gRPC, GraphQL), service architecture (clean/hexagonal/layered), database access patterns, integration and middleware design, error handling, and service-level testing. Language and framework agnostic.

Technical documentation methodology — API reference documentation, README authorship, CLI help text design, agent-facing documentation (AGENTS.md), developer guides, and documentation site information architecture.

Security audit and vulnerability assessment methodology — threat modeling, vulnerability classification, defense-in-depth review, dependency analysis, and security architecture evaluation. Grounded in OWASP, CWE, and STRIDE/LINDDUN frameworks.

Quality assurance methodology — test strategy design, test automation patterns, regression testing, CI quality gates, test data management, and quality metrics. Grounded in practical patterns for teams that want confident shipping.

Machine learning engineering methodology — model training, fine-tuning (LoRA/QLoRA), evaluation, quantization, deployment, and MLOps pipeline design. Grounded in practical engineering patterns for production ML systems.

Data engineering methodology — database operations (vector, relational, graph, time-series), ETL/ELT pipeline design (dbt patterns, incremental loading), SQL analytical patterns, data quality monitoring, schema migration, and storage infrastructure management. Grounded in operational patterns for production data systems.

Infrastructure as code, CI/CD, container orchestration, service networking — methodology and reference patterns for building and operating internal developer platforms.

SDD acceptance criteria verification — maps specification acceptance criteria to tests, validates implementation output against spec requirements, and produces artifact-pyramid-compliant VERIFICATION.md reports. Trigger when implementation needs to be verified against its specification.

Specification authoring for AI-native SDD — writes formal specifications in structured formats (Gherkin, user stories, acceptance criteria), enforces spec quality gates, and produces artifact-pyramid-compliant SPEC.md outputs. Trigger when specifications or requirements documents need to be authored from scratch or refined.

SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria. Owns the mapping from specification to executable work units, producing artifact-pyramid-compliant TASK-PLAN.md outputs. Trigger when a reviewed specification needs to be broken into implementable tasks.

SDD phase-gate review — enforces the SDD pipeline's gated structure by reviewing specification artifacts before the next phase can proceed. Produces artifact-pyramid-compliant gate decision reports. No phase passes without reviewed, approved artifacts.

Container lifecycle management: Dockerfiles, multi-stage builds, Compose stacks, registries, container networking, and production container patterns.

WireGuard-based overlay networking — mesh VPN, ACL policies, subnet routing, exit nodes, and Headscale self-hosted control server.

Reverse proxy, load balancer, and ingress controller — dynamic routing, TLS automation, middleware chains, and integration with Docker, Kubernetes, and file-based providers.

Create comprehensive brand identity documentation for any brand. Guides you through documenting strategy, visual identity (logo, color, typography, imagery), voice and tone, application guidelines, governance, and asset inventory. Produces markdown specs, compiled brand books, and brand-compliant images via reference-image-aware generation. Use when you need to capture a brand's identity in structured, durable form — for vault storage, agency handoff, or press kit distribution.

A virtual Kanban expert who can diagnose flow problems, design board configurations, set up multi-portfolio operating models, calibrate WIP limits, establish service level expectations, and guide Scrum-to-Kanban transitions. Load this when your team is struggling with throughput, cycle times are unpredictable, multiple stakeholders compete for the same engineers, or you're wondering if Kanban is right for you.

Make good open source contributions — check CONTRIBUTING.md first, follow project norms, be a good citizen. Covers bug reports, feature requests, and pull requests with a defensible default posture when the project hasn't documented expectations.

Reverse-engineer a software codebase to understand architecture, data flow, privacy posture, and feature surface — then produce a clean-room design document, PRD, or migration plan that re-imagines the system under new constraints (local-first, privacy-first, self-hosted). Use when you need to understand how a system works from its source code or produce a specification without copying implementation details.

4-phase root cause debugging protocol: understand bugs before fixing. Use for ANY technical issue — test failures, production bugs, unexpected behavior, performance problems, build failures, or integration issues. ESPECIALLY when under time pressure, when "one quick fix" seems obvious, or when previous fix attempts have failed.

PhD-level expertise in data science, statistics, and machine learning. Use when the task requires rigorous statistical analysis, experimental design, causal inference, advanced modeling, research methodology, or data science project leadership. Load when the user asks about statistical methods, experimental design, model selection, A/B testing, hypothesis testing, power analysis, regression, causality, Bayesian analysis, or research methodology.

Copy-editing methodology — style guide enforcement, grammar and punctuation, consistency checking, and proofreading protocols.

Full-spectrum SEO + AEO audit skill — technical crawl analysis, on-page content optimization, structured data (JSON-LD/Schema.org) validation, Ghost CMS metadata completion, answer engine optimization (AEO/GEO), content strategy gap analysis, and reporting. Produces artifact-pyramid-compliant output. Use when the seo-specialist profile needs to audit a site, optimize an article for search and AI citation, complete Ghost CMS metadata, or develop a content strategy.

Audit and optimize content sites for search — page title audits, schema injection (Organization, FAQ, LocalBusiness), meta description rewrites, URL hygiene, local landing pages, and measurement. Complements /content-strategy (what to write next) by optimizing what already exists.

Professional editorial methodology — argument coherence, structural editing, engagement quality, voice consistency, and the artifact-pyramid editorial pipeline. Use when the editor profile needs procedural depth beyond the editorial pass.

Editorial review methodology — fact-checking, voice audit, engagement review, and source integrity assessment.

Orchestration methodology — task decomposition, specialist routing, synthesis patterns, and multi-agent workflow design.