Iterate Pivot Decision logo

Iterate Pivot Decision

Organization
product-on-purpose
iterate-pivot-decision

Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill nameiterate-pivot-decision
Stars
717
Forks
92
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Iterate Pivot Decision AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/product-on-purpose/pm-skills/tree/main/skills/iterate-pivot-decision
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/iterate-pivot-decision .claude/skills/iterate-pivot-decision
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iterate Pivot Decision in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Iterate Pivot Decision on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Iterate Pivot Decision is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pivot Decision

A pivot decision document captures the analysis and rationale behind a strategic direction change.or the decision to stay the course. Based on the Lean Startup concept of "pivot or persevere," this artifact ensures major strategic decisions are made with evidence, communicated clearly, and preserved for organizational learning.

When to Use

  • After significant validated learning suggests the current direction may not work
  • At planned pivot-or-persevere checkpoints (e.g., after MVP launch)
  • When key hypotheses have been invalidated by market feedback
  • During strategy reviews when considering major direction changes
  • When stakeholders are debating whether to change course

When NOT to Use

  • You are reporting experiment results without a direction decision attached -> use measure-experiment-results
  • The decision is technical or architectural rather than directional -> use develop-adr
  • You want to explore candidate directions before deciding anything -> use define-opportunity-tree
  • The team needs the period-end reflection ceremony -> use iterate-retrospective; a pivot call is a decision document, not a retro
  • The product is not built yet, and the question is whether to build a new idea, feature, or scope change at all (a build / validate / cut verdict) -> use foundation-build-risk-review; a pivot call weighs market feedback on something already shipped

Instructions

When asked to document a pivot decision, follow these steps:

  1. Summarize Current State Document what you're currently doing, how long you've been doing it, what you've invested, and what results you've achieved. This grounds the decision in reality.

  2. Present the Evidence Compile all relevant data: metrics, user feedback, experiment results, market signals. Be comprehensive.include evidence that supports both staying and changing course.

  3. Review Hypotheses Revisit the original hypotheses that justified the current direction. Which have been validated? Which have been invalidated? Which remain untested?

  4. Define Options Articulate at least three options: persevere (continue current direction), and two or more distinct pivot options. Describe each option concretely.what would change?

  5. Analyze Each Option Evaluate options against key criteria: market opportunity, competitive advantage, team capability, resource requirements, and risk. Use evidence, not opinions.

  6. Make the Decision State the chosen direction clearly. Explain the rationale, acknowledging trade-offs. If the team disagrees, capture dissenting views.

  7. Plan Implementation Outline what happens next: immediate actions, resource needs, success criteria for the new direction, and communication plan.

Output Format

Use the template in references/TEMPLATE.md to structure the output. A complete decision document fills every template section: Overview; Executive Summary; Current State; Evidence Summary; Hypothesis Review; Options Considered; Analysis; Decision; Implementation Plan; Communication Plan; and Appendix.

Quality Checklist

Before finalizing, verify:

  • Current state includes honest assessment of results
  • Evidence is comprehensive, not cherry-picked
  • Multiple options are analyzed fairly
  • Decision rationale is clear and evidence-based
  • Implementation plan is actionable
  • Dissenting views are captured

Examples

See references/EXAMPLE.md for a completed example.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Iterate Pivot Decision AI skill do?

Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.

Why use Iterate Pivot Decision on TypingMind?

Because you install it once and use it with any model. Iterate Pivot Decision is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Iterate Pivot Decision in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/iterate-pivot-decision. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Iterate Pivot Decision?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Iterate Pivot Decision?

As many as you like. As long as a model supports skills, you can use Iterate Pivot Decision with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Iterate Pivot Decision AI skill free?

Yes. It is published on GitHub by product-on-purpose under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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