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Senior Pm

  • 349 installs
  • 451 repo stars
  • Updated July 21, 2026
  • borghei/claude-skills

senior-pm is an enterprise project-management agent skill that applies portfolio prioritization, EMV risk analysis, and executive reporting for developers and engineering leads managing multi-project SaaS delivery.

About

senior-pm is a Senior Project Management agent skill (version 2.0.0) from borghei/claude-skills for enterprise software, SaaS, and digital transformation portfolios. It guides WSJF, RICE, ICE, and MoSCoW prioritization, Expected Monetary Value risk quantification, Monte Carlo schedule confidence modeling, stakeholder alignment, and RAG-status executive reporting. Four bundled Python tools—project_health_dashboard.py, risk_matrix_analyzer.py, resource_capacity_planner.py, and stakeholder_mapper.py—support quantitative portfolio health scoring and capacity planning demos. Reach for senior-pm when engineering leaders need structured portfolio tradeoffs, risk-adjusted roadmaps, and board-ready status narratives rather than sprint-level ticket grooming alone.

  • AI
  • Developer tool

Senior Pm by the numbers

  • 349 all-time installs (skills.sh)
  • Ranked #2,126 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/borghei/claude-skills --skill senior-pm

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Listed on Skillselion
Installs349
repo stars451
Last updatedJuly 21, 2026
Repositoryborghei/claude-skills

How do you prioritize a SaaS project portfolio quantitatively?

For integrating A developer tool for AI integration and automation

Who is it for?

Engineering managers and technical program leads running multi-project SaaS portfolios who need WSJF prioritization, EMV risk scoring, and executive-ready reporting.

Skip if: Developers who only need a single-sprint Jira board cleanup or code-level task breakdown without portfolio-level risk quantification should skip senior-pm.

When should I use this skill?

User asks for portfolio prioritization, EMV risk analysis, Monte Carlo schedule modeling, WSJF scoring, or executive RAG status reporting

What you get

Portfolio prioritization matrix, EMV risk analysis, Monte Carlo schedule model, stakeholder map, and executive RAG report

  • portfolio health dashboard
  • risk matrix analysis
  • stakeholder map

By the numbers

  • Bundles 4 Python PM scripts: project_health_dashboard, risk_matrix_analyzer, resource_capacity_planner, stakeholder_mapp
  • Skill metadata version 2.0.0 from borghei/claude-skills

Files

SKILL.mdMarkdownGitHub ↗

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. If any is unknown or vague, ASK — do not assume:

  • [ ] Which artifact — portfolio health review, executive status report, stakeholder map, or risk/capacity analysis (each maps to a different tool and structure)
  • [ ] Audience — board, exec staff, or delivery team (sets the altitude, RAG framing, and level of detail)
  • [ ] Portfolio scope and data — which projects and what timeline/budget/risk data exists (scores and dashboards are only as good as the inputs)
  • [ ] Prioritization model — WSJF, RICE, ICE, or MoSCoW, when ranking projects (each produces a different order)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

# Tier 1 — portfolio health (multi-dimensional RAG scoring)
python3 scripts/project_health_dashboard.py assets/sample_project_data.json

# Tier 2 — quantitative risk matrix + mitigation strategy
python3 scripts/risk_matrix_analyzer.py assets/sample_project_data.json

# Tier 3 — resource capacity / utilization
python3 scripts/resource_capacity_planner.py assets/sample_project_data.json

# Stakeholder mapping (Mendelow's Matrix + comms plan)
python3 scripts/stakeholder_mapper.py --demo --format json

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • [references/methodology-and-operations.md](references/methodology-and-operations.md) — the full three-tier analysis approach, prioritization models, risk framework, stakeholder-mapping detail, asset/template descriptions, weekly/monthly/quarterly workflows, handoff protocols, KPIs, anti-patterns, troubleshooting, success criteria, and Python tool flag reference. Read this for any hands-on portfolio, risk, capacity, or reporting work.
  • [references/portfolio-prioritization-models.md](references/portfolio-prioritization-models.md) — deep dive on WSJF/RICE/ICE/MoSCoW/MCDA and the model-selection decision tree. Read when choosing or defending a prioritization model.
  • [references/risk-management-framework.md](references/risk-management-framework.md) — full quantitative risk process: identification, three-point estimation, EMV, portfolio correlation, risk appetite. Read for any non-trivial risk analysis.
  • [references/stakeholder-engagement-guide.md](references/stakeholder-engagement-guide.md) — Mendelow quadrant playbooks, blocker engagement, communication cadences. Read when building a stakeholder/communication plan.
  • [references/red-flags.md](references/red-flags.md) — common ways this skill's output goes wrong, with fixes. Read before finalizing a portfolio assessment or executive report.

Scope & Limitations

In Scope: Multi-project portfolio health assessment with weighted composite scoring; quantitative risk analysis using EMV, probability/impact matrices, and category weighting; resource capacity planning with utilization optimization and skill-matching; stakeholder mapping with Mendelow's Matrix and targeted communication plans; executive-level reporting with RAG status dashboards and strategic recommendations.

Out of Scope: Sprint-level team management (see scrum-master/); product backlog management and feature prioritization (see execution/prioritization-frameworks/); agile coaching and team maturity (see agile-coach/); financial modeling beyond project-level ROI (see finance/); contract negotiation and procurement.

Important Caveats: Health scores use deterministic formulas, not ML predictions — calibrate thresholds to your portfolio. Risk EMV assumes independent risks; portfolio correlation analysis (Step 4) gives a more accurate combined view but needs cross-project dependency data. Capacity models are weekly snapshots; they do not account for intra-week variability or unplanned spikes.

Integration Points

IntegrationDirectionDescription
scrum-master/Receives fromSprint velocity and health metrics feed portfolio-level health dashboards
sprint-retrospective/Receives fromRetro insights inform stakeholder reports and process improvement tracking
execution/brainstorm-okrs/Feeds intoPortfolio priorities and strategic context shape quarterly OKR themes
execution/outcome-roadmap/Feeds intoPortfolio health data influences roadmap commitment levels (Now/Next/Later)
discovery/pre-mortem/Receives fromLaunch-blocking tigers escalate into portfolio risk register
execution/release-notes/ComplementsRelease notes incorporate stakeholder communication plans from mapper
Jira via Atlassian MCPBidirectionalPull project data for health analysis; push status reports to Confluence
Financial SystemsReceives fromReal-time budget and spend data for variance analysis

Related skills

How it compares

Pick senior-pm over sprint-level agile skills when you need portfolio-wide EMV risk scoring and executive reporting rather than single-team velocity tracking.

FAQ

What Python tools ship with senior-pm?

senior-pm bundles four Python scripts: project_health_dashboard.py, risk_matrix_analyzer.py, resource_capacity_planner.py, and stakeholder_mapper.py, each runnable with --demo flags for portfolio analysis workflows.

Which prioritization frameworks does senior-pm support?

senior-pm supports WSJF, RICE, ICE, and MoSCoW models for multi-project portfolio optimization alongside EMV financial risk quantification and Monte Carlo schedule confidence intervals.

Who is senior-pm designed for?

senior-pm targets engineering leaders managing enterprise software and SaaS portfolios who need quantitative risk analysis, resource capacity planning, and executive RAG reporting across concurrent initiatives.

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