Agent skill

Product Market Fit Score

by ahmadvh in ahmadvh/octochains

Evaluates whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature.

Custom licenceAuto-check passedProduct & Project Management

Install Product Market Fit Score

skills CLI
$ npx skills add ahmadvh/octochains --skill product-market-fit-score -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ahmadvh/octochains product-market-fit-score --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ahmadvh/octochains.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/octochains/agents/skills/strategy/product-market-fit-score .claude/skills/product-market-fit-score && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-market-fit-score
GitHub stars
377
Token cost
~322 tokens
SKILL.md length
154 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Evaluates whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature.

  • Works in 3 steps: Pain Point Validation: Does the product… → Defensibility (The Moat): Can this… → Churn Risk Analysis: Based on the…
  • Tasks that involve Product strategy
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Market Fit Score is an agent skill from ahmadvh/octochains. Evaluates whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature.

Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Product strategy. The repository describes itself as: A lightweight Python framework for parallel, isolated, collaborative AI reasoning.

When your agent uses it

  • Tasks that involve Product strategy

Example prompts

  • “nice-to-have”
  • “Use the product-market-fit-score skill to evaluate whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature”
  • “/product-market-fit-score”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Pain Point Validation: Does the product solve a critical, "hair-on-fire" problem for its users, or is it a vitamin (nice-to-have)?
  2. Defensibility (The Moat): Can this product be easily replicated by a larger competitor (e.g., OpenAI, Microsoft, or AWS) pushing a weekend…
  3. Churn Risk Analysis: Based on the product's stickiness and daily utility, estimate the likelihood of users abandoning the platform after 3…

What it can do on your machine

Read from SKILL.md and the folder at commit 3512a57. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Market Fit Score loads about 322 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 154 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~322

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 154 words (~322 tokens).

“Act as a ruthless Chief Product Officer. Evaluate the core product offering to determine if it actually possesses a defensible "moat" and true Product-Market Fit (PMF).”

— opening of SKILL.md by ahmadvh, Custom licence
name
product-market-fit-score
version
1.0.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in src/octochains/agents/skills/strategy/product-market-fit-score of ahmadvh/octochains.

Open the folder on GitHubat commit 3512a57

Compare with similar skills

Product Market Fit Score next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Market Fit Score compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Market Fit Score this skillahmadvh/octochains377—~322Automated safety check: PassCustom licence
Game Changing FeaturesopenstatusHQ/data-table-filters2.3k3 repos~2.1kAutomated safety check: PassMIT
Organic Growth Path Advisordeanpeters/Product-Manager-Skills7.2k2 repos~5.2kAutomated safety check: PassCustom licence
Product Strategistalirezarezvani/claude-skills28k2 repos~1.8kAutomated safety check: PassMIT
PlaidBuildGreatProducts/plaid218—~1.6kAutomated safety check: PassMIT
Product Competitive AnalysisFokkyp/claude-skills226—~1.2kAutomated safety check: PassNone

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  • Game Changing Features

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  • Organic Growth Path Advisor

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    218 GitHub stars~1.6k tokensUpdated 5 mo ago
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Questions about Product Market Fit Score

What does Product Market Fit Score do?

Evaluates whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature. Product Market Fit Score is an agent skill from ahmadvh/octochains. Evaluates whether the product solves a bleeding-neck pain point or is merely a 'nice-to-have' feature.

When should I use Product Market Fit Score?

Product Market Fit Score fits situations like: tasks that involve Product strategy.

How do I install Product Market Fit Score in Claude Code?

Run `npx skills add ahmadvh/octochains --skill product-market-fit-score -a claude-code`. Or copy the skill folder (src/octochains/agents/skills/strategy/product-market-fit-score in ahmadvh/octochains) into .claude/skills/product-market-fit-score in your project. Claude Code loads it when a task matches its description.

How do I install Product Market Fit Score in Codex?

Run `npx skills add ahmadvh/octochains --skill product-market-fit-score -a codex`. Or copy the skill folder (src/octochains/agents/skills/strategy/product-market-fit-score in ahmadvh/octochains) into .agents/skills/product-market-fit-score in your project. Codex loads it when a task matches its description.

Can I use Product Market Fit Score in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ahmadvh/octochains --skill product-market-fit-score -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-market-fit-score, .gemini/skills/product-market-fit-score, .github/skills/product-market-fit-score and .opencode/skills/product-market-fit-score in your project.

What does Product Market Fit Score need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Market Fit Score is instructions for the agent only.

Does Product Market Fit Score access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Market Fit Score safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Market Fit Score use?

Product Market Fit Score has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Product Market Fit Score use?

About 322 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Market Fit Score?

Skills that share tags, products or a category with Product Market Fit Score: Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Organic Growth Path Advisor (deanpeters/Product-Manager-Skills, 7.2k stars), Product Strategist (alirezarezvani/claude-skills, 28k stars) and Plaid (BuildGreatProducts/plaid, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Market Fit Score?

ahmadvh (a GitHub user) maintains it in ahmadvh/octochains, which has 377 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 20, 2026.

Source: ahmadvh/octochains on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.