Game Changing Features
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RefoundAI/lenny-skills measuring-pmf --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/measuring-pmf .claude/skills/measuring-pmf && rm -rf skills-srcUse ~/.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/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .claude/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RefoundAI/lenny-skills measuring-pmf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/measuring-pmf .agents/skills/measuring-pmf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .agents/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RefoundAI/lenny-skills measuring-pmf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/measuring-pmf .cursor/skills/measuring-pmf && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .cursor/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/RefoundAI/lenny-skills.git --path skills/measuring-pmf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RefoundAI/lenny-skills measuring-pmf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/measuring-pmf .gemini/skills/measuring-pmf && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .gemini/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install RefoundAI/lenny-skills measuring-pmfInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/measuring-pmf .github/skills/measuring-pmf && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .github/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RefoundAI/lenny-skills measuring-pmf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/measuring-pmf .opencode/skills/measuring-pmf && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "measuring-pmf" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/measuring-pmf into .opencode/skills/measuring-pmf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "measuring-pmf", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
measuring-pmfHelp users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.
Measuring Pmf is an agent skill from RefoundAI/lenny-skills. Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).
It sits in Product & Project Management, covering Product strategy. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Measuring Pmf loads about 1.9k tokens when it runs, and up to ~41k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 1,112 words of instructions outside code blocks.
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.
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.
The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 1,112 words, ~1,919 tokens.
.claude/skills/measuring-pmf/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Transition from pushing your product to feeling the market pull it out of you.
Help the user with measuring product-market fit using insights from 16 guests and posts across Lenny's Podcast and Newsletter.
Jag Duggal: "We rarely scale a project, a product we've launched, until we know the Sean Ellis score and we know that it's hit a threshold that we find really compelling."
Use an objective threshold like the Sean Ellis score to validate fit before scaling. Set a strict target of at least 40 percent of users feeling very disappointed if the product disappeared.
Raaz Herzberg: "We really felt the type of questions change, right? Silly. The call sounded like, again, "How are you pricing this, or when can we start doing a POV?" I think naturally, as human beings, you have a bias to look for affirmation, versus a bias for what you don't want to hear."
True fit is revealed when customer feedback shifts from polite interest to urgent, practical questions about pricing and implementation. Treat generic interest as a negative signal.
Rahul Vohra: "You have to deliberately not act on the feedback of many of your early users, and this is at the same time as listening to people intensely and building what people want."
Ignore feedback from most users to focus exclusively on the segment that would be very disappointed without your product. Double down on what that specific cohort loves.
From "How to kickstart and scale a consumer business—Step 5: RETAIN: Iterate until enough people stick around": "Do whatever is required to get to product-market fit. Including changing out people, rewriting your product, moving into a different market, telling customers no when you don’t want to, telling customers yes when you don’t want to, raising that fourth round of highly dilutive venture capital—whatever is required."
Iterating toward fit requires an obsessive focus on retention signals. Be prepared to rewrite the product or switch markets if your cohort retention curves do not eventually flatten.
Grant Lee: "And then we'd look at signups, and you'd get that initial spike in signups, and then they sort of flatten out. We were still getting new users every day, but it was clear we didn't have strong word of mouth. There wasn't strong organic virality."
Measure the delta between temporary launch spikes and your long-term organic baseline. True fit is characterized by sustained word-of-mouth growth rather than marketing-driven peaks.
Adam Grenier: "Start by assuming you no longer have product market fit, because you had product market fit in a different market. It's a different market now, so you have to start over."
Assume previous product-market fit is lost when entering a significantly changed macroeconomic environment. Shifts in the market can fundamentally alter your customer base and their needs.
Todd Jackson: "We've published dozens of articles on the First Round Review, and we have found a very consistent set of patterns, demand satisfaction, and efficiency. But the interesting thing is that you don't go for all three of them from the very beginning."
Finding fit is a sequential journey that starts with demand, moves to satisfaction, and finally focuses on efficiency. Do not try to optimize for efficiency until you have proven satisfaction.
See references/artifacts.md for the full list with details.
For all 50 sourced insights from 16 guests, see references/guest-insights.md
© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/measuring-pmf of RefoundAI/lenny-skills.
Open the folder on GitHubat commit 13598cc
Measuring Pmf 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Measuring Pmf this skillRefoundAI/lenny-skills | 1.4k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Company Research Briefdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~3.8k | Automated safety check: Pass | Custom licence | |
| Organic Growth Path Advisordeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Product Strategistalirezarezvani/claude-skills | 28k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| PlaidBuildGreatProducts/plaid | 217 | — | ~1.6k | Automated safety check: Pass | MIT |
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
deanpeters/Product-Manager-Skills
Builds a company research brief covering executive quotes, product strategy, transformation efforts and org context, tailored to interview prep, competitor or partnership work.
deanpeters/Product-Manager-Skills
Diagnoses where a growth constraint lives and recommends one organic growth path from the McKinsey Growth Pyramid to test first.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
BuildGreatProducts/plaid
Product Led AI Development — guides founders from idea to launched product.
Fokkyp/claude-skills
Produces product-manager competitive analysis reports in Chinese, with a confirm-first scoping gate, three-phase evidence collection and single or multi-product modes.
RefoundAI/lenny-skills
Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
RefoundAI/lenny-skills
Help users master their personal output by shifting from reactive scheduling to intentional energy management, internal trigger mastery, and proactive boundary setting.
RefoundAI/lenny-skills
Help users reach their first moment of core value by optimizing the first-run experience, removing friction, and aligning product design with psychological triggers.
RefoundAI/lenny-skills
Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
RefoundAI/lenny-skills
Help users build functional product prototypes from natural language or visual mocks using AI coding tools.
RefoundAI/lenny-skills
Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.
Categories
Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals. Measuring Pmf is an agent skill from RefoundAI/lenny-skills. Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.
Measuring Pmf fits situations like: tasks that involve Product strategy.
Run `npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a claude-code`. Or copy the skill folder (skills/measuring-pmf in RefoundAI/lenny-skills) into .claude/skills/measuring-pmf in your project. Claude Code loads it when a task matches its description.
Run `npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a codex`. Or copy the skill folder (skills/measuring-pmf in RefoundAI/lenny-skills) into .agents/skills/measuring-pmf in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill measuring-pmf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/measuring-pmf, .gemini/skills/measuring-pmf, .github/skills/measuring-pmf and .opencode/skills/measuring-pmf in your project.
SKILL.md names no scripts, command-line tools or credentials: Measuring Pmf is instructions for the agent only.
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.
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.
Measuring Pmf is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 39k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Measuring Pmf: Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Company Research Brief (deanpeters/Product-Manager-Skills, 7.2k stars), Organic Growth Path Advisor (deanpeters/Product-Manager-Skills, 7.2k stars) and Product Strategist (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,377 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.
Source: RefoundAI/lenny-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.