deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Assess model, vendor, data, infrastructure, integration, talent, switching, and portability dependencies that can change an AI investment decision.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Assess model, vendor, data, infrastructure, integration, talent, switching, and portability dependencies that can change an AI investment decision.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Diagnose AI portfolio imbalance, premature scaling, weak evidence, vendor exposure, and zombie pilots; recommend where to explore, validate, scale, pause, or stop.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Run a recurring AI portfolio review that reallocates capital and capacity using strategy, outcomes, economics, readiness, production evidence, dependencies, and learning.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Run a recurring review of AI behavior, workflow, human, outcome, control, incident, and affected-party evidence to continue, change, constrain, roll back, or retire.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Map a recurring product-team motion through decisions, actors, inputs, handoffs, delays, rework, and failure before assigning AI and human responsibilities.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Design preventive controls, detection, triage, containment, rollback, communication, investigation, remediation, learning, and reporting for AI incidents.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Turn an evidence-based AI product thesis, portfolio choices, outcomes, boundaries, and learning into a clear narrative for aligned organizational action.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Turn scattered AI ambition into an evidence-aware product strategy thesis with choices, boundaries, outcomes, assumptions, and next bets. Use when direction or non-goals are unclear.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Assemble current, audience-appropriate evidence about an AI product's purpose, behavior, limits, evaluations, controls, ownership, incidents, and change history.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Compare AI opportunities across outcome value, evidence, feasibility, responsibility, readiness, and reversibility to recommend explore, validate, defer, or reject.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Identify which product-team decision or productive workflow should be redesigned with AI first, based on outcome value, friction, evidence, consequence, and readiness.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Turn a tested human-AI workflow into an inspectable playbook with context, roles, decisions, examples, controls, measures, fallback, and improvement ownership.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Define which sources are authoritative for a purpose, who owns them, who may use them, how conflicts resolve, and when trust expires.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Define AI responsibilities, human judgment, review, decision authority, escalation, and learning in a recurring workflow. Use when human-AI collaboration is vague or unreliable.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Diagnose the most consequential missing AI governance condition across ownership, authority, controls, escalation, oversight, and trust evidence; recommend the next motion.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Define observable AI product competencies by role and proficiency level, tied to real decisions, evidence, practice, and progression rather than generic tool fluency.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Convert a proven, improved workflow into a governed, reusable skill with context, decisions, examples, guardrails, evaluations, ownership, and maintenance rules.
deanpeters/product-manager-antagonist-skills
Plugin Claude Code
Plugin marketplace listing 1 plugin: pant.
deanpeters/product-manager-antagonist-skills
Plugin Claude Code
Pressure-test product decisions and rehearse consequential stakeholder conversations with evidence-grounded structured dissent.
deanpeters/product-manager-antagonist-skills
Instructions file CodexOpenCode
AGENTS.md instructions for deanpeters/product-manager-antagonist-skills, covering agents.md, project mission, core use case, audience and pedagogic standard and governing principle.
deanpeters/product-manager-antagonist-skills
Skill Claude CodeCodex
Select the smallest useful PANT skill, mode, entry path, pressure, and optional companion from a messy product-management request. Use when the correct pressure test or rehearsal is unclear.
deanpeters/product-manager-antagonist-skills
Skill Claude CodeCodex
Pressure-test a product artifact, argument, or proposal when no specialist PANT scenario fits. Use for general grounding, contradictions, evidence, and readiness; not work clearly served by a specialist.
deanpeters/product-manager-antagonist-skills
Skill Claude CodeCodex
Pressure-test a product investment business case and rehearse its review. Use for benefits, costs, alternatives, economics, uncertainty, adoption, ownership, and decision conditions; not a whole business model.
deanpeters/product-manager-antagonist-skills
Skill Claude CodeCodex
Pressure-test a product recommendation for an executive decision and rehearse the review. Use for approval, sponsorship, investment, priority, capacity, or commitment requests; not general roadmap or backlog review.