Marketplace for the .ah Teleological Semantic Format ecosystem by David C. Cavalcante. Hosts the supreme-coding-guidelines plugin (bundles the ah-parser bootstrap, the always-on coding-guidelines behavior, the on-demand supreme-project-audit skill, the on-demand supreme-problem-solving skill, the on-demand…
The .ah skill bundle for Claude Code. Combines token compression, surgical coding behavior, disciplined diagnosis, TDD, architectural control, full-project audit discipline, genuine problem-solving with tabular deliverables, principal AI engineering discipline for production AI/ML/LLM/MLOps/LLMOps systems, a…
Principal AI engineering discipline for production AI/ML/LLM/MLOps/LLMOps systems with eval-first design, pipeline contracts, governance, reliability, QA rigor, operational excellence. On-demand in Cursor.
First-in-the-world AI governance and compliance discipline for AI Governance Officers, Compliance Leads, Risk Managers, DPOs, Legal Counsel, CISOs, and AI and ML and LLM engineers and architects. Operationalizes ISO/IEC 42001:2023 (AI Management System clauses 4 to 10, roughly 38 Annex A controls across 9 objectives…
Principal research and data-science benchmarking discipline for AI/ML/LLM/npm projects inspired by OpenAI, Anthropic, Google DeepMind, xAI, DeepSeek, Xiaomi MiMo, Hugging Face, and Unsloth methodologies. Four personas applied to benchmark design + statistical rigor gates (CI95, multi-seed) + contamination defense +…
Principal content craft for SEO/SEM/Header Binding/Copywriting/Marketing/Writing with six persuasion frameworks (AIDA, Cialdini, StoryBrand/PAS/FAB/Schwartz/SUCCESs/Ogilvy/Hopkins, Schopenhauer ethical eristic, Joe Girard Law of 250, Cialdini Pre-Suasion), Features to Project to How to Benefits to Sales to Purchase…
Principal multi-perspective deliberation council for ambiguous high-stakes decisions. Four cognitive personas (First-Principle Thinker, Expansionist, Outsider, Executor) + three-round protocol (individual then anonymous peer review then synthesis preserving dissent) + Spec-Kit phasing + Klein premortem + Cynefin…
Living-diagram companion for Product Engineers, Software/LLM Architects, Tech Leads, Technical Writers, DevOps, and AI Researchers. Treats diagrams (architecture, flow, ERD, sequence, class, C4, state) as living versioned artifacts described in a deterministic declarative layer validated by gematria checksum then…
Permanently activates the .ah (Teleological Semantic Format) for any LLM. Bootstraps the grammar once per session, then asks the user once whether assistant responses should use normal language, .ah structured form, or .ah compact form. User input may be in any natural language. User code, diffs, commands, and…
Principal AI engineering discipline for Product Engineers, AI Engineers, ML Engineers, LLM Engineers, LLM Architects, AI Researchers, Quality Assurance Engineers, and Software Quality Engineers building production AI, ML, LLM, MLO/MLOps, and LLMO/LLMOps systems. Forces eval-first design (golden datasets and acceptance…
First-in-the-world AI governance and compliance discipline for AI Governance Officers, Compliance Leads, Risk Managers, DPOs, Legal and Privacy Counsel, CISOs, Product and AI and ML and LLM engineers, LLM Architects, AI Researchers, internal Auditors, CTOs, and Founders who must place, operate, or certify AI systems…
Principal research and data-science benchmarking discipline for AI, ML, LLM, and npm/Node projects, inspired by the published methodologies of OpenAI (simple-evals, SWE-bench Verified audits), Anthropic (model cards with methodology appendix and error bars), Google DeepMind (benchmark tables with disclosure appendix)…
Maximum semantic compression + surgical behavior + disciplined diagnosis + TDD + architectural control for any coding, writing, reviewing, refactoring, or debugging task. Requires ah-parser. Output mode follows the user preference set at parser activation (normal, .ah structured, or .ah compact). User code, diffs…
Principal multi-perspective deliberation council for ambiguous, high-stakes, irreversible decisions across Product, Engineering, AI/ML/LLM Architecture, Research, Operations, and Strategy. Convenes four distinct cognitive personas — (1) First-Principle Thinker (strips assumptions, reasons from…
Living-diagram companion for Product Engineers, Software Architects, LLM Architects, Tech Leads, Technical Writers, DevOps, and AI Researchers who need architecture, flow, ERD, sequence, class, C4, and state diagrams that stay in sync with the repository. Unlike export-only diagram tools that depend on a heavy desktop…
Genuine problem-solving discipline for Product Engineers, AI Engineers, ML Engineers, LLM Engineers, LLM Architects, and AI Researchers. Scales from simple bugs to complex system failures. Forces precise problem statements, reliable reproduction, 3–5 ranked falsifiable hypotheses, instrumented evidence…
Evidence-driven full-project audit skill for Product Engineers, AI Engineers, ML Engineers, LLM Engineers, LLM Architects, and AI Researchers. Enforces severity discipline (P0/P1/P2/P3 with objective criteria), explicit coverage maps (audited vs not-audited surface), threat modeling (STRIDE + OWASP LLM Top 10)…