Agent skill · product strategy · borghei

senior-pm

Senior PM for enterprise software and SaaS — portfolio management, quantitative risk analysis, prioritization, and executive reporting. Use for portfolio health reviews, board-ready status reports, and multi-project risk/capacity analysis.

Why this skill is useful

Adds 4 executable Python scripts for portfolio management, risk analysis, and stakeholder mapping that enhance the AI's capabilities in enterprise project management.

What it needs

Requires python installed locally. About 4k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.

What this skill does

Senior Project Management Expert Overview Strategic project management for enterprise software, SaaS, and digital transformation initiatives. This skill provides sophisticated portfolio management capabilities, quantitative analysis tools, and executive-level reporting frameworks for managing complex, multi-million dollar project portfolios. It pairs deterministic Python analysis (health scoring, risk matrices, capacity planning, stakeholder mapping) with board-ready communication frameworks. Use when The user asks to "run a portfolio health review", "build an executive status report", or "do a stakeholder map" Multiple projects need prioritization across WSJF / RICE / ICE / MoSCoW with strategic alignment A board-ready or executive-ready RAG report needs to be produced Risk analysis needs EMV, Monte Carlo, or portfolio risk correlation — beyond a basic probability/impact matrix Resource capacity planning is needed across multiple concurrent projects A quarterly portfolio rebalancing or three-horizons review is being planned The user says "our portfolio is misaligned", "executives don't trust the reports", or "we can't tell which projects are actually healthy" Core Capabilities Portfolio health & strategic alignment — multi-dimensional weighted scoring (timeline, budget, scope, quality, risk), RAG status, three-horizons rebalancing Quantitative risk management — EMV analysis, three-point/Monte Carlo estimation, category weighting, portfolio risk correlation, risk-appetite framework Advanced prioritization — WSJF, RICE, ICE, MoSCoW, MCDA with a model-selection decision tree Resource capacity planning — utilization optimization (70-85% band), skill matching, bottleneck identification, scenario planning Executive communication & governance — board-ready RAG reports, RACI matrices, escalation paths, risk-adjusted ROI/NPV Clarify First Before generating the report or analysis, confirm these inputs. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills borghei/senior-pm

View the source on GitHub

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