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ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye.
Install Pricing Sensitivity Model
$ npx skills add mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills pricing-sensitivity-model --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pricing-sensitivity-model .claude/skills/pricing-sensitivity-model && 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 "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .claude/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-modelType 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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills pricing-sensitivity-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pricing-sensitivity-model .agents/skills/pricing-sensitivity-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .agents/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills pricing-sensitivity-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pricing-sensitivity-model .cursor/skills/pricing-sensitivity-model && 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 "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .cursor/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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/mohitagw15856/pm-claude-skills.git --path skills/pricing-sensitivity-model--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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills pricing-sensitivity-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pricing-sensitivity-model .gemini/skills/pricing-sensitivity-model && 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 "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .gemini/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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 mohitagw15856/pm-claude-skills pricing-sensitivity-modelInstalls 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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pricing-sensitivity-model .github/skills/pricing-sensitivity-model && 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 "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .github/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills pricing-sensitivity-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pricing-sensitivity-model .opencode/skills/pricing-sensitivity-model && 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 "pricing-sensitivity-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/pricing-sensitivity-model into .opencode/skills/pricing-sensitivity-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing-sensitivity-model", 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
pricing-sensitivity-model- GitHub stars
- 1.4k
- Token cost
- ~1k tokens
- SKILL.md length
- 495 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye.
- Works in 4 steps: The four points — OPP (optimal price… → Data hygiene — valid n, dropped… → The recommendation — a price inside the… → …
- Someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point
- SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Pricing Sensitivity Model is an agent skill from mohitagw15856/pm-claude-skills. Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye. Use when someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point, the acceptable range, and a defensible readout. Produces OPP/IPP and the PMC–PME range, the four cumulative curves as data, and a real .xlsx with a live revenue what-if — via the bundled zero-dependency script.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/van_westendorp.py`).
It sits in Documents & Office, covering Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point
- The acceptable range
- A defensible readout
Example prompts
- “/pricing-sensitivity-model”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- The four points — OPP (optimal price point: too-cheap × too-expensive crossing), IPP (indifference: cheap × expensive), and the acceptable…
- Data hygiene — valid n, dropped non-monotone count (a high drop rate is itself a finding: respondents didn't understand the category or…
- The recommendation — a price inside the range with reasoning; note that OPP minimises purchase resistance, which is not the same as…
- The caveat — VW measures perception, not demand; pair with a real willingness-to-pay test before betting the pricing page on it.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Pricing Sensitivity Model loads about 1k tokens when it runs. Until then it costs about 129 tokens; SKILL.md has 495 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); the scripts in this folder are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 495 words, ~1,047 tokens.
Download SKILL.mdSave it as
.claude/skills/pricing-sensitivity-model/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- pricing-sensitivity-model
- description
- Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye. Use when someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point, the acceptable range, and a defensible readout. Produces OPP/IPP and the PMC–PME range, the four cumulative curves as data, and a real .xlsx with a live revenue what-if — via the bundled zero-dependency script.
Pricing Sensitivity Model (Van Westendorp)
The Van Westendorp Price Sensitivity Meter is fifty years old and still the fastest honest answer to "what should this cost?" — but most readouts are someone squinting at where four lines seem to cross. This skill computes the crossings: cumulative curves built from the actual responses, intersections found by linear interpolation, non-monotone respondents dropped and counted.
Required Inputs
- Survey responses — per respondent, the four classic answers as prices: too cheap (quality suspect), cheap (a bargain), expensive (getting dear), too expensive (out of the question). 20+ valid responses for a stable read; the script warns below that and refuses below 5.
- Segment splits (optional) — the tool doesn't segment; run it per segment and compare, which is usually where the real finding is.
If the survey hasn't run yet, produce the four questions verbatim and the screener instead, then stop — don't invent responses.
Output Format
- The four points — OPP (optimal price point: too-cheap × too-expensive crossing), IPP (indifference: cheap × expensive), and the acceptable range PMC–PME. Each with one sentence of meaning, not just the acronym.
- Data hygiene — valid n, dropped non-monotone count (a high drop rate is itself a finding: respondents didn't understand the category or the questions).
- The recommendation — a price inside the range with reasoning; note that OPP minimises purchase resistance, which is not the same as maximising revenue — premium positions price above OPP deliberately.
- The caveat — VW measures perception, not demand; pair with a real willingness-to-pay test before betting the pricing page on it.
Programmatic Helper
This skill ships scripts/van_westendorp.py — zero dependencies (stdlib zip+XML):
python3 scripts/van_westendorp.py analyze pricing.xlsx --responses-file survey.json
# survey.json: [{"too_cheap":5,"cheap":9,"expensive":18,"too_expensive":30}, …]It prints the points (n=40 OPP=12.05 IPP=12.75 range=9.66–15.05 dropped=1) and writes an .xlsx with a Summary sheet (the four points + a live revenue what-if: edit the candidate price, buyers and revenue recalculate) and a Curves sheet (the four cumulative curves as plottable data). Requires a code-execution environment.
Show full SKILL.md (185 more words)Show less
Quality Checks
- Crossings were computed by the script from the actual responses — never estimated from a description of the data
- Valid n and dropped count are reported, with the warning surfaced when n < 20
- Every acronym (OPP/IPP/PMC/PME) is glossed in plain words at first use
- The recommended price is inside PMC–PME, and the OPP ≠ revenue-maximum distinction is stated
- The "perception, not demand" caveat appears before any commitment language
Anti-Patterns
- Do not fabricate or extend survey responses — with no data, deliver the survey design and stop
- Do not read OPP as "the right price" — it is the least-resisted price, and premium strategies ignore it on purpose
- Do not hide the dropped respondents — non-monotone answers are evidence about the survey, not noise to delete
- Do not report a single point without the range — the range is the finding; the point is a summary of it
- Do not pool segments that obviously differ (SMB with enterprise) — the pooled curves cross somewhere nobody actually is
Example Trigger Phrases
- "Run Van Westendorp on these survey answers."
- "Find our acceptable price range."
- "Analyse this pricing survey."
- "Plan a four-question pricing survey."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/pricing-sensitivity-model of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/van_westendorp.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Pricing Sensitivity Model 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 |
|---|---|---|---|---|---|---|
| Pricing Sensitivity Model this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
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Questions about Pricing Sensitivity Model
What does Pricing Sensitivity Model do?
Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye. Pricing Sensitivity Model is an agent skill from mohitagw15856/pm-claude-skills. Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye.
When should I use Pricing Sensitivity Model?
Pricing Sensitivity Model fits situations like: someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point; the acceptable range; A defensible readout.
How do I install Pricing Sensitivity Model in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a claude-code`. Or copy the skill folder (skills/pricing-sensitivity-model in mohitagw15856/pm-claude-skills) into .claude/skills/pricing-sensitivity-model in your project. Claude Code loads it when a task matches its description.
How do I install Pricing Sensitivity Model in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a codex`. Or copy the skill folder (skills/pricing-sensitivity-model in mohitagw15856/pm-claude-skills) into .agents/skills/pricing-sensitivity-model in your project. Codex loads it when a task matches its description.
Can I use Pricing Sensitivity Model 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 mohitagw15856/pm-claude-skills --skill pricing-sensitivity-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pricing-sensitivity-model, .gemini/skills/pricing-sensitivity-model, .github/skills/pricing-sensitivity-model and .opencode/skills/pricing-sensitivity-model in your project.
What does Pricing Sensitivity Model need to run?
Going by SKILL.md and its folder, Pricing Sensitivity Model needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Pricing Sensitivity Model 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 Pricing Sensitivity Model 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Pricing Sensitivity Model use?
Pricing Sensitivity Model 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 Pricing Sensitivity Model use?
About 1k tokens (SKILL.md is roughly 4.2k 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 Pricing Sensitivity Model?
Skills that share tags, products or a category with Pricing Sensitivity Model: Markitdown (ImCa0/just-laws, 782 stars), Data Table Manager (n8n-io/n8n, 207k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pricing Sensitivity Model?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.