operations / skill

5 Persona Advisory Board

A decision-discussion skill with five strategic lenses, interview prompts and a decision-brief format.

At a glance

Purpose
A decision-discussion skill with five strategic lenses, interview prompts and a decision-brief format.
Runs in
Chat app with skills, Local agent with shell
Operating systems
Not stated
Needs
Runtime: Not stated; Needs internet: Not stated; Needs accounts or API keys beyond your agent: Not stated
Files and data
Reads files: Not stated; Writes files: Not stated; Sends data to other services: Not stated
Tool type
Skill
Delivery
From GitHub
Version
Latest on the main branch
Access
Code on GitHub
Compatibility
According to the README, you can use it in Claude by pasting SKILL.md into a Project, in ChatGPT by pasting it into a Project, Custom GPT instructions or a chat, and in Codex and Hermes by copying it into a skills folder. It also names OpenClaw. The README's compatibility table marks Claude, Codex, Hermes and OpenClaw as Supported and ChatGPT as Expected, and says compatibility can decay as platforms change. It says you can ask ChatGPT Codex, Claude Code, Codex, Hermes, OpenClaw or another coding agent to install it from GitHub.
External costs
The README describes the repository as a free reusable skill. The repository is MIT-licensed. Your AI assistant or model provider may charge for usage.
Permissions
The skill acts through your AI assistant with the access you give it. The README gives installation by pasting SKILL.md into project or custom instructions, copying it into ~/.codex/skills/5-persona-advisory-board or ~/.hermes/skills/productivity/5-persona-advisory-board, or asking a coding agent to install it from GitHub. The README tells users to provide a decision and omit secrets, credentials, private client data, regulated information and sensitive internal records from prompts. The README does not describe file, shell or network actions by the skill beyond installation.
Usage terms
MIT License, as stated in the repository. See its LICENSE file for the exact terms.

Code on GitHub

harryvondiesel-web/5-persona-advisory-board

MIT

134 stars17 forksLast pushed 7 Oct 2026 UTC

A reusable AI skill for stress-testing high-leverage decisions through five strategic lenses.

Topics: ai-skills crit-framework decision-making founders prompt-engineering strategy

Public GitHub data fetched · 0 days old

View on GitHub ↗

What it does

5 Persona Advisory Board is a skill for discussing important decisions. The README says it is intended for launches, pricing, hiring, pivots, client risk, strategic focus and stop-or-continue decisions. The README describes an interview-first workflow when context is missing, followed by five strategic lenses, disagreement analysis and a decision brief.

The README names Product Clarity, Risk and Capital, Scale and Systems, Offer Strength and Future Self as its lenses. The README says four draw on public business principles associated with Jobs, Buffett, Bezos and Hormozi, while Future Self concerns your own future self. The README describes these as analytical lenses rather than celebrity simulations and disclaims affiliation or endorsement by the named people, Steve Jobs' estate or related companies.

The README calls its workflow CRIT: Context, Role, Interview and Task. The README lists Decision, Context Read, 5 Lens Views, Disagreement, Future Self Check and Final Decision Brief as the output sections when sufficient context is available.

Who it is for

Founders, consultants, operators and AI power users making high-leverage decisions, according to the README.

Example tasks

Weigh whether to launch an offer now or keep refining it.
Weigh whether to raise prices or hold.
Weigh whether to accept or reject a risky client.
Weigh whether to build a feature or stay focused.
Weigh whether to stop, continue or restructure a struggling project.

Getting started

The README gives a path for each tool. Claude: create a Project named 5 Persona Advisory Board, paste the full contents of SKILL.md into its project instructions, and start a new chat in it. ChatGPT: paste SKILL.md into a Project, into Custom GPT instructions, or at the top of a chat. Codex: mkdir -p ~/.codex/skills/5-persona-advisory-board and then cp SKILL.md ~/.codex/skills/5-persona-advisory-board/SKILL.md. Hermes: mkdir -p ~/.hermes/skills/productivity/5-persona-advisory-board and then cp SKILL.md ~/.hermes/skills/productivity/5-persona-advisory-board/SKILL.md. For a coding agent, the README gives a prompt that asks it to install the skill from GitHub using the portable skill key 5-persona-advisory-board. The README has the exact commands.

Limitations

The README says the skill reorganizes and stress-tests supplied context rather than proving market demand, validating customer behavior or making assumptions true. The README says it is not legal, medical, financial, tax or investment advice and directs high-stakes regulated decisions to qualified professionals. The README tells users to omit secrets, credentials, private client data, regulated information and sensitive internal records from prompts. The README says Product Clarity is focused on product, story, taste and strategic clarity rather than general marriage, parenting or personal leadership advice. The README advises against basic lookups, tiny administrative choices and decisions with no resulting action, and says to treat the first board output as a draft. The README says the skill is not a full business-scaling playbook, employee performance system, sales coaching automation, voice-of-customer automation, agentic CFO or general enterprise AI operating system. The README advises a fresh session after installation and warns that compatibility can decay as platforms change. The repository can change at any time; check its README before you install.

Data practices

The README tells you not to include secrets, credentials, private client data, regulated information or sensitive internal records in prompts. The repository has a PRIVACY.md file, which the README does not mention, so check it for details. What is sent where depends on your AI assistant and model provider.

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