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Assimovt Productskills

Community
podo
assimovt-productskills

Focused product-management skills spanning the full lifecycle: discovery (user interviews, problem validation, JTBD, research synthesis), strategy (competitor analysis, positioning, strategy docs), prioritization (RICE, Shape Up scope-cutting and bet-sizing), evidence-first PRDs, plus launch plans, North Star metrics frameworks, A/B experiment design, and Now/Next/Later roadmaps.

Overview

Publisherpodo
Repositorydesign-agent-skills
Skill nameassimovt-productskills
Stars
27
Forks
3
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by podo on GitHub. Read the source before you install it.

Installation

Install the Assimovt Productskills 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/podo/design-agent-skills/tree/main/skills/assimovt-productskills
  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/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/assimovt-productskills .claude/skills/assimovt-productskills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Assimovt Productskills 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 Assimovt Productskills 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 Assimovt Productskills 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.

assimovt-productskills

Catalogue stub — full package: assimovt/productskills

Decision tree

  1. Is the full skill already installed? This package installs 16 skills (user-interview, problem-validation, jtbd-analysis, research-synthesis, opportunity-mapping, competitor-analysis, product-positioning, strategy-doc, feature-prioritization, scope-cutting, bet-sizing, prd-writing, launch-plan, metrics-framework, experiment-design, roadmap-planning); checking the first.

    • Global: f=~/.agents/skills/user-interview/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • Project: f=.agents/skills/user-interview/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • installed → the skill is installed as user-interview, invoke it and proceed
    • pointer → go to step 2
  2. Detect scope, then install:

    bash
    [ -e ~/.agents/skills/assimovt-productskills ] && echo "global" || echo "project"

    Global:

    bash
    npx skills add assimovt/productskills --skill user-interview problem-validation jtbd-analysis research-synthesis opportunity-mapping competitor-analysis product-positioning strategy-doc feature-prioritization scope-cutting bet-sizing prd-writing launch-plan metrics-framework experiment-design roadmap-planning -g -y

    Project:

    bash
    npx skills add assimovt/productskills --skill user-interview problem-validation jtbd-analysis research-synthesis opportunity-mapping competitor-analysis product-positioning strategy-doc feature-prioritization scope-cutting bet-sizing prd-writing launch-plan metrics-framework experiment-design roadmap-planning -y

    Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Claude Code plugin route:

/plugin marketplace add assimovt/productskills
/plugin install product-skills@productskills

Heads-up

  • License: MIT
  • Name collision: competitor-analysis is also written by phuryn-pm-skills (its install or its catalogue pointer); installing both overwrites the earlier one.
  • Name collision: experiment-design is also written by claude-pm-skills (its install or its catalogue pointer); installing both overwrites the earlier one.

Invoke after install

  • Skill names: user-interview, problem-validation, jtbd-analysis, research-synthesis, opportunity-mapping, competitor-analysis, product-positioning, strategy-doc, feature-prioritization, scope-cutting, bet-sizing, prd-writing, launch-plan, metrics-framework, experiment-design, roadmap-planning
  • Trigger phrases: "roadmap planning", "metrics framework", "North Star metric", "experiment design", "competitor analysis", "Shape Up", "bet sizing"

What it does

Evidence-first PM skills, each shipped with a worked example. Strongest on the areas the other catalogue PM packages don't cover deeply — roadmaps, metrics, experimentation, competitive analysis, strategy, and Shape Up scoping.

Sub-skillBest for
user-interviewMom Test + YC's Five Questions — unbiased user interviews
problem-validationScore problems on frequency × intensity × willingness-to-pay
jtbd-analysisJobs-to-be-Done + Forces of Progress
research-synthesisTurn interview notes into atomic insights and patterns
opportunity-mappingOpportunity Solution Trees (Teresa Torres)
competitor-analysisFeature matrix, positioning map, strategic gaps
product-positioningApril Dunford's Obviously Awesome framework
strategy-docPlaying to Win + Rumelt's Strategy Kernel
feature-prioritizationRICE scoring with enablers vs blockers lens
scope-cuttingShape Up appetite — fixed time, variable scope
bet-sizingShape Up pitch format + Type 1/2 decision framework
prd-writingEvidence-first, concise, measurable PRDs
launch-planLaunch tiers (silent / soft / big-bang) with checklists
metrics-frameworkNorth Star + input/output tree + counter-metrics
experiment-designHypothesis-driven A/B tests with a sample-size plan
roadmap-planningNow/Next/Later roadmaps — outcomes, not features

To install only some of them, run the install command with just those names after --skill.

When NOT to use

  • Customer journey maps / user story mapping → use deanpeters-pm-skills
  • Triple Diamond / Design Sprint facilitation → use pm-skills
  • Broad PM marketplace (GTM, data analytics) → use phuryn-pm-skills
  • Behavioral product design, growth loops → use lenny-skills
  • Go-to-market and sales motion → use chadboyda-gtm

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 Assimovt Productskills AI skill do?

Focused product-management skills spanning the full lifecycle: discovery (user interviews, problem validation, JTBD, research synthesis), strategy (competitor analysis, positioning, strategy docs), prioritization (RICE, Shape Up scope-cutting and bet-sizing), evidence-first PRDs, plus launch plans, North Star metrics frameworks, A/B experiment design, and Now/Next/Later roadmaps.

Why use Assimovt Productskills on TypingMind?

Because you install it once and use it with any model. Assimovt Productskills 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 Assimovt Productskills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/assimovt-productskills. 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 Assimovt Productskills?

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 Assimovt Productskills?

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

Is the Assimovt Productskills AI skill free?

Yes. It is published on GitHub by podo under the MIT 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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