plugins/faos-pm/skills/stakeholder-map/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: stakeholder-map description: Map stakeholders on a Power x Interest grid and create tailored communication plans. Use when managing complex stakeholder environments, launching cross-functional initiatives, or joining a new organization. tags: [stakeholder-management, communication, planning, leadership] --- # Stakeholder Map A Power x Interest grid for identifying, categorizing, and managing stakeholders — with tailored commu
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-pm/skills/stakeholder-mapInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
A Power x Interest grid for identifying, categorizing, and managing stakeholders — with tailored communication strategies for each quadrant.
Product initiatives fail more often from stakeholder misalignment than from bad engineering. This skill maps who cares, who has power, and what each person needs from you — preventing surprises, building support, and managing resistance proactively.
List everyone who is:
Don't forget:
For each stakeholder, rate:
HIGH INTEREST
│
┌────────────────────┼────────────────────┐
│ │ │
│ Keep Satisfied │ Manage Closely │
│ │ │
│ Periodic updates │ Regular 1:1s │
│ Escalate critical │ Involve in │
│ issues only │ decisions │
│ │ │
HIGH├────────────────────┼────────────────────┤
POWER │
│ │ │
│ Monitor │ Keep Informed │
│ │ │
│ Light-touch │ Status updates │
│ Watch for │ Demo invitations │
│ changes │ Feedback channel │
│ │ │
└────────────────────┼────────────────────┘
LOW INTEREST
These are your most important stakeholders. Mismanaging them kills projects.
They can make or break your project but don't want to be in the details.
They care deeply but can't directly block you. Often your best advocates.
Minimal investment needed — but watch for changes.
Flag stakeholders who:
# Stakeholder Map — [Initiative Name]
**Date:** [date]
**PM:** [name]
---
## Stakeholder Grid
### Manage Closely (High Power, High Interest)
| Stakeholder | Role | Interest Area | Communication Plan | Potential Risk |
| --- | --- | --- | --- | --- |
| [name] | [role] | [what they care about] | Weekly 1:1, involve in [decisions] | [risk if mismanaged] |
### Keep Satisfied (High Power, Low Interest)
| Stakeholder | Role | Interest Area | Communication Plan | Escalation Trigger |
| --- | --- | --- | --- | --- |
| [name] | [role] | [what they care about] | Monthly summary | [when to escalate] |
### Keep Informed (Low Power, High Interest)
| Stakeholder | Role | Interest Area | Communication Plan | Leverage |
| --- | --- | --- | --- | --- |
| [name] | [role] | [what they care about] | Sprint updates, demos | [how they can help] |
### Monitor (Low Power, Low Interest)
| Stakeholder | Role | Watch For |
| --- | --- | --- |
| [name] | [role] | [condition that would increase their interest/power] |
---
## Conflicts and Risks
| Conflict | Stakeholders Involved | Mitigation |
| --- | --- | --- |
| [conflict description] | [names] | [how to handle] |
---
## Communication Calendar
| Cadence | Audience | Format | Owner |
| --- | --- | --- | --- |
| Weekly | Manage Closely group | 1:1 meetings | PM |
| Bi-weekly | Keep Informed group | Sprint demo | PM + Eng Lead |
| Monthly | Keep Satisfied group | Email summary | PM |
| Quarterly | All stakeholders | Roadmap review | PM + Leadership |
| Avoid | Why | Instead | | --- | --- | --- | | Treating all stakeholders equally | Wastes time on low-impact people, under-invests in critical ones | Use the grid to prioritize | | Only mapping supporters | Resistors cause the most damage if ignored | Map everyone, especially skeptics | | Static map | People change roles, priorities shift | Review monthly | | Communicating the same way to everyone | Execs want summaries, ICs want details | Tailor format and depth | | Skipping the conflict analysis | Unaddressed conflicts escalate | Name conflicts, plan mitigation |
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU