Game Changing Features
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
Expert framework for assessing and achieving product-market fit.
Install Product Market Fit Analysis
$ npx skills add manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install manojbajaj95/claude-gtm-plugin product-market-fit-analysis --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/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-market-fit-analysis .claude/skills/product-market-fit-analysis && 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 "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .claude/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysisType 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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install manojbajaj95/claude-gtm-plugin product-market-fit-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-market-fit-analysis .agents/skills/product-market-fit-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .agents/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install manojbajaj95/claude-gtm-plugin product-market-fit-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-market-fit-analysis .cursor/skills/product-market-fit-analysis && 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 "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .cursor/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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/manojbajaj95/claude-gtm-plugin.git --path skills/product-market-fit-analysis--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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install manojbajaj95/claude-gtm-plugin product-market-fit-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-market-fit-analysis .gemini/skills/product-market-fit-analysis && 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 "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .gemini/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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 manojbajaj95/claude-gtm-plugin product-market-fit-analysisInstalls 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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-market-fit-analysis .github/skills/product-market-fit-analysis && 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 "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .github/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install manojbajaj95/claude-gtm-plugin product-market-fit-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-market-fit-analysis .opencode/skills/product-market-fit-analysis && 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 "product-market-fit-analysis" agent skill from https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/product-market-fit-analysis into .opencode/skills/product-market-fit-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-market-fit-analysis", 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.
Facts
- Skill name
product-market-fit-analysis- GitHub stars
- 105
- Token cost
- ~2k tokens
- SKILL.md length
- 972 words
- Files
- 1
- Skills in repo
- 52
- Repo updated
- First seen
- Licence
- MIT
At a glance
Expert framework for assessing and achieving product-market fit.
- Works in 3 steps: Find PMF in one segment (e.g.,… → Double down where you see natural pull → Expand to adjacent segments
- Determining if product has PMF
- SKILL.md covers Workspace Context, Operating Contract, Quick Reference and Part 1: What Is PMF?, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Product Market Fit Analysis is an agent skill from manojbajaj95/claude-gtm-plugin. Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.
Its SKILL.md is about 2k 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 licence is MIT.
When your agent uses it
- Determining if product has PMF
- Measuring user engagement
- Running PMF surveys
- Deciding whether to scale
Example prompts
- “/product-market-fit-analysis”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Find PMF in one segment (e.g., early-stage startups)
- Double down where you see natural pull
- Expand to adjacent segments
What it can do on your machine
Read from SKILL.md and the folder at commit 0830a46. 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 Analysis loads about 2k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 972 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.
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
The full file from manojbajaj95/claude-gtm-plugin at commit 0830a46, republished under its MIT licence (© manojbajaj95). 972 words, ~2,014 tokens.
Download SKILL.mdSave it as
.claude/skills/product-market-fit-analysis/SKILL.md (or your agent's skills folder).- name
- product-market-fit-analysis
- description
- Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.
- metadata.version
- 1.0.0
- metadata.merged_from
- product-market-fit, measuring-product-market-fit
Product Market Fit Analysis
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Comprehensive framework for assessing, achieving, and scaling product-market fit.
Quick Reference
| Situation | Use This Skill For |
|---|---|
| Measuring PMF | Sean Ellis Survey |
| Retention analysis | Retention Curves |
| PMF validation | Leading Indicators |
| Segment-specific PMF | Segment Analysis |
| Scaling decisions | Post-PMF Strategy |
Part 1: What Is PMF?
Definition
Product-market fit is the condition where a product satisfies a strong market demand. It's not binary — it's a spectrum.
Key Insight
PMF is obvious when you have it.
Matt MacInnis: "Product market fit is something where you absolutely know it when you see it. Therefore if you don't absolutely know it, you don't have it."
PMF Levels
| Level | Customers | Focus |
|---|---|---|
| Nascent | 3-5 | Satisfaction |
| Developing | 5-25 | Demand |
| Strong | 25-100 | Efficiency |
| Extreme | 100+ | Scaling |
Part 2: PMF Measurement Frameworks
Sean Ellis "Disappointment" Survey
The Question:
"How would you feel if you could no longer use this product?"
- Very disappointed
- Somewhat disappointed
- Not disappointed
The Benchmark:
40% "very disappointed" = on the right track
Focus on the "very disappointed" segment as the core value indicator.
Retention Curves
Uri Levine's Definition:
"Product market fit has one metric. Retention. If you create value, they will come back. If they're not coming back, you're not creating value."
What to look for:
- Curves that flatten over time (not decaying to zero)
- "Smile curve" — engagement increases over time (strongest signal)
Key retention points:
- Day 7 retention
- Day 30 retention
- Day 90 retention
Reference Customers
Christian Idiodi:
"The holy grail is really a reference customer - somebody who loves it enough to tell people about it."
| Market | Target References |
|---|---|
| B2B | 6-8 reference customers |
| B2C | 15-25 reference customers |
Part 3: Leading Indicators
Signs of True PMF
| Indicator | What It Means |
|---|---|
| "Very disappointed" > 40% | Strong core value |
| Retention curve flattening | Product creates ongoing value |
| Customer "pull" | Market is pulling product |
| Outrage during outages | Product is mission-critical |
| Customer driving next steps | Intent, not polite interest |
Customer "Pull" Signals
Raaz Herzberg:
"We felt the questions change — 'How are you pricing this? When can we start a POV?' That's real intent."
True pull is characterized by:
- Customers driving next steps
- Questions about pricing/timelines
- Urgency in communication
Outage Response Test
Jeff Weinstein:
"During those 20 minutes our customers weren't furious. That was the signal we did not have product market fit."
If your product goes down and nobody notices or complains, you haven't solved a mission-critical problem.
Part 4: Segment-Specific PMF
Key Insight
Karri Saarinen: "The way we think about it is, 'Do we have the fit in specific segments?' and how strong that fit is."
PMF exists in segments, not universally.
Finding Your Segment
Start narrow, then expand:
- Find PMF in one segment (e.g., early-stage startups)
- Double down where you see natural pull
- Expand to adjacent segments
Common Segments
- Company size / stage
- Industry vertical
- Use case / workflow
- Geography
- Team size
Part 5: Distribution + PMF
Show full SKILL.md (407 more words)Show less
Critical Insight
Casey Winters: "If you have a product that retains well and you can't find more users for it, I don't think that's product market fit."
True PMF requires:
- ✅ Retaining product
- ✅ Scalable, built-in distribution
Without both, you don't have true PMF.
Part 6: Pre-PMF Navigation
What to Do Pre-PMF
- Focus on retention, not acquisition
- Talk to every customer personally
- Iterate rapidly on product
- Find the segment with strongest pull
- Don't spend on paid acquisition
Warning Signs
- Growth comes from "launch spikes" not organic
- Users aren't coming back
- No customers willing to be references
- Market is pushing product, not pulling
- You're guessing why users churn
Part 7: Post-PMF Scaling
Protecting PMF
Casey Winters: "Protecting what you've built is increasingly important once you build scale. You might fall out of product market fit in a year or five years if you're not continually making your product better."
Scaling Checklist
- Retention curve has flattened (positive)
- Have target reference customers
- Clear segment with strongest fit
- Built-in distribution mechanism
- Team structure supports growth
PMF Can Be Lost
Markets shift, competitors improve, user expectations rise. Continuously monitor and protect PMF.
Part 8: Questions to Assess PMF
Diagnostic Questions
- If users couldn't use your product anymore, what percentage would be 'very disappointed'?
- What does your retention curve look like at day 7, 30, and 90?
- Do you have customers willing to be references and tell others about you?
- Is the market pulling the product from you, or are you pushing it on them?
- Are customers driving next steps or just being politely interested?
- What specific segment do you have the strongest fit in?
Part 9: Common Mistakes
What to Avoid
| Mistake | Reality |
|---|---|
| Confusing launch spikes with PMF | Sustained organic growth matters |
| Ignoring retention data | If they don't come back, no PMF |
| Scaling too early | Paid growth before PMF burns cash |
| Conflating TAM with PMF | Large market ≠ fit within it |
| Listening to "somewhat disappointed" | Focus on "very disappointed" |
Part 10: Decision Framework
Should You Scale?
| Signal | Action |
|---|---|
| 40%+ "very disappointed" + flattening retention | Ready to scale |
| < 40% "very disappointed" | Keep iterating |
| No reference customers | Build them first |
| No distribution mechanism | Find channels first |
Scale vs. Iterate Decision
| Factor | Scale | Keep Iterating |
|---|---|---|
| PMF survey | > 40% very disappointed | < 40% |
| Retention | Curve flattening | Decaying to zero |
| References | Target achieved | Not yet |
| Distribution | Channels identified | Unknown |
Related Skills
- growth-strategy: For growth frameworks post-PMF
- customer-success-and-retention: For retention improvement
- conversion-rate-optimization: For activation optimization
© manojbajaj95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/product-market-fit-analysis of manojbajaj95/claude-gtm-plugin.
Open the folder on GitHubat commit 0830a46
Compare with similar skills
Product Market Fit Analysis 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 |
|---|---|---|---|---|---|---|
| Product Market Fit Analysis this skillmanojbajaj95/claude-gtm-plugin | 105 | — | ~2k | Automated safety check: Pass | MIT | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| 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 | 218 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Product Competitive AnalysisFokkyp/claude-skills | 226 | — | ~1.2k | Automated safety check: Pass | None |
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Questions about Product Market Fit Analysis
What does Product Market Fit Analysis do?
Expert framework for assessing and achieving product-market fit. Product Market Fit Analysis is an agent skill from manojbajaj95/claude-gtm-plugin. Expert framework for assessing and achieving product-market fit.
When should I use Product Market Fit Analysis?
Product Market Fit Analysis fits situations like: determining if product has PMF; measuring user engagement; running PMF surveys; deciding whether to scale.
How do I install Product Market Fit Analysis in Claude Code?
Run `npx skills add manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a claude-code`. Or copy the skill folder (skills/product-market-fit-analysis in manojbajaj95/claude-gtm-plugin) into .claude/skills/product-market-fit-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Product Market Fit Analysis in Codex?
Run `npx skills add manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -a codex`. Or copy the skill folder (skills/product-market-fit-analysis in manojbajaj95/claude-gtm-plugin) into .agents/skills/product-market-fit-analysis in your project. Codex loads it when a task matches its description.
Can I use Product Market Fit Analysis 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 manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis -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-analysis, .gemini/skills/product-market-fit-analysis, .github/skills/product-market-fit-analysis and .opencode/skills/product-market-fit-analysis in your project.
What does Product Market Fit Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Product Market Fit Analysis is instructions for the agent only.
Does Product Market Fit Analysis 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 Analysis 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 Analysis use?
Product Market Fit Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Product Market Fit Analysis use?
About 2k tokens (SKILL.md is roughly 8.1k 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 Analysis?
Skills that share tags, products or a category with Product Market Fit Analysis: 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 Analysis?
manojbajaj95 (a GitHub user) maintains it in manojbajaj95/claude-gtm-plugin, which has 105 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on September 18, 2026.
Source: manojbajaj95/claude-gtm-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.