Price Elasticity Calculator
revfactory/harness-100
A methodology for calculating price elasticity and deriving optimal pricing.
Calculate price elasticity of demand to quantify how price changes affect sales volume.
MITAuto-check passed
Install Algo Price Elasticity
$ npx skills add asgard-ai-platform/skills --skill algo-price-elasticity -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-price-elasticity --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-price-elasticity .claude/skills/algo-price-elasticity && 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 "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .claude/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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/asgard-ai-platform/skills/tree/main/algo-price-elasticityType 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 asgard-ai-platform/skills --skill algo-price-elasticity -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-price-elasticity --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-price-elasticity .agents/skills/algo-price-elasticity && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .agents/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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 asgard-ai-platform/skills --skill algo-price-elasticity -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-price-elasticity --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-price-elasticity .cursor/skills/algo-price-elasticity && 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 "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .cursor/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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/asgard-ai-platform/skills.git --path algo-price-elasticity--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 asgard-ai-platform/skills --skill algo-price-elasticity -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-price-elasticity --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-price-elasticity .gemini/skills/algo-price-elasticity && 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 "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .gemini/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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 asgard-ai-platform/skills algo-price-elasticityInstalls 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 asgard-ai-platform/skills --skill algo-price-elasticity -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-price-elasticity .github/skills/algo-price-elasticity && 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 "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .github/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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 asgard-ai-platform/skills --skill algo-price-elasticity -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-price-elasticity --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-price-elasticity .opencode/skills/algo-price-elasticity && 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 "algo-price-elasticity" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-price-elasticity into .opencode/skills/algo-price-elasticity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-price-elasticity", 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
algo-price-elasticity- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 376 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Calculate price elasticity of demand to quantify how price changes affect sales volume.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to estimate demand sensitivity
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Algo Price Elasticity is an agent skill from asgard-ai-platform/skills. Calculate price elasticity of demand to quantify how price changes affect sales volume. Use this skill when the user needs to estimate demand sensitivity, set optimal prices, or evaluate the revenue impact of price changes — even if they say 'how sensitive are customers to price', 'will a price increase hurt sales', or 'elasticity calculation'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `examples/sample_input.json`, `references/cross-price.md` and `references/regression-estimation.md`).
The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to estimate demand sensitivity
- Set optimal prices
- Evaluate the revenue impact of price changes — even if they say how sensitive are customers to price
- Will a price increase hurt sales
Example prompts
- “how sensitive are customers to price”
- “will a price increase hurt sales”
- “elasticity calculation”
- “/algo-price-elasticity”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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:
python
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
Algo Price Elasticity loads about 1.1k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 376 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 376 words, ~1,081 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-price-elasticity/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- algo-price-elasticity
- description
- Calculate price elasticity of demand to quantify how price changes affect sales volume. Use this skill when the user needs to estimate demand sensitivity, set optimal prices, or evaluate the revenue impact of price changes — even if they say 'how sensitive are customers to price', 'will a price increase hurt sales', or 'elasticity calculation'.
- metadata.category
- WP-39 定價演算法
- metadata.tags
- pricing, elasticity, demand-analysis, economics
Price Elasticity of Demand
Overview
Price elasticity measures the percentage change in quantity demanded for a 1% change in price. Ed = %ΔQ / %ΔP. |Ed| > 1 = elastic (price-sensitive), |Ed| < 1 = inelastic (price-insensitive). Critical for pricing decisions and revenue optimization.
When to Use
Trigger conditions:
- Estimating how a price change will affect unit sales and revenue
- Determining if demand is elastic or inelastic for a product
- Optimizing price for maximum revenue or profit
When NOT to use:
- When you need consumer willingness-to-pay distribution (use Van Westendorp or conjoint)
- When pricing multiple products together (use bundle pricing)
Algorithm
IRON LAW: Elasticity Is NOT Constant Along a Linear Demand Curve
It varies at every price point. At high prices, demand is elastic
(small price increase → big volume drop). At low prices, demand is
inelastic. Always calculate at the SPECIFIC price point of interest.
Revenue-maximizing price is where Ed = -1 (unit elastic).Phase 1: Input Validation
Collect: price-quantity pairs over time (or across markets). Control for: seasonality, promotions, competitor actions, other confounders. Gate: Minimum 10 price-quantity observations, confounders identified.
Phase 2: Core Algorithm
Point elasticity: Ed = (dQ/dP) × (P/Q) at a specific price point Arc elasticity: Ed = ((Q₂-Q₁)/((Q₂+Q₁)/2)) / ((P₂-P₁)/((P₂+P₁)/2)) between two points Regression method: log(Q) = α + β×log(P) + controls → β is the elasticity (constant elasticity model)
Phase 3: Verification
Check: sign should be negative (price up → quantity down). Cross-validate with holdout periods. Gate: Elasticity is negative, confidence interval is reasonable.
Phase 4: Output
Return elasticity estimate with revenue impact projection.
Output Format
{
"elasticity": -1.5,
"interpretation": "elastic — 1% price increase → 1.5% quantity decrease",
"revenue_impact": {"price_change_pct": 10, "quantity_change_pct": -15, "revenue_change_pct": -6.5},
"metadata": {"method": "log-log regression", "r_squared": 0.82, "observations": 52}
}Examples
Sample I/O
Input: Price increased 10% from $100 to $110, quantity dropped from 1000 to 850 Expected: Arc elasticity = ((-150/925) / (10/105)) = -1.70 (elastic)
Show full SKILL.md (159 more words)Show less
Edge Cases
| Input | Expected | Why |
|---|---|---|
| Luxury good | May be positive (Veblen) | Higher price → higher perceived value |
| Necessity (insulin) | Near zero | Demand barely responds to price |
| Perfect substitute available | Very elastic (< -3) | Customers switch immediately |
Gotchas
- Omitted variable bias: Without controlling for advertising, seasonality, and competitor prices, elasticity estimates are biased.
- Short-run vs long-run: Short-run elasticity is typically lower (customers are locked in). Long-run gives them time to find substitutes.
- Cross-price elasticity: Demand for product A may depend on product B's price. Ignoring this in a portfolio context leads to suboptimal pricing.
- Asymmetric elasticity: Consumers may react differently to price increases vs decreases. Don't assume symmetry.
- Small sample noise: With few observations, elasticity estimates have wide confidence intervals. Report intervals, not just point estimates.
Scripts
| Script | Description | Usage |
|---|---|---|
scripts/arc_elasticity.py | Compute arc elasticity and revenue impact | python scripts/arc_elasticity.py --help |
Run python scripts/arc_elasticity.py --verify to execute built-in sanity tests.
References
- For regression-based elasticity estimation, see
references/regression-estimation.md - For cross-price elasticity analysis, see
references/cross-price.md
© asgard-ai-platform, 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 4 other files (scripts, references) in algo-price-elasticity of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_input.json
- references/cross-price.md
- references/regression-estimation.md
- scripts/arc_elasticity.py
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo Price Elasticity 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 |
|---|---|---|---|---|---|---|
| Algo Price Elasticity this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Price Elasticity Calculatorrevfactory/harness-100 | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Pricingsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Pricing Calculatormohitagw15856/pm-claude-skills | 1.4k | — | ~942 | Automated safety check: Pass | MIT | |
| Pricing Strategyphuryn/pm-skills | 27k | — | ~913 | Automated safety check: Pass | MIT | |
| Pricing Strategyalirezarezvani/claude-skills | 28k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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Questions about Algo Price Elasticity
What does Algo Price Elasticity do?
Calculate price elasticity of demand to quantify how price changes affect sales volume. Algo Price Elasticity is an agent skill from asgard-ai-platform/skills. Calculate price elasticity of demand to quantify how price changes affect sales volume.
When should I use Algo Price Elasticity?
Algo Price Elasticity fits situations like: the user needs to estimate demand sensitivity; set optimal prices; evaluate the revenue impact of price changes — even if they say how sensitive are customers to price; will a price increase hurt sales.
How do I install Algo Price Elasticity in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-price-elasticity -a claude-code`. Or copy the skill folder (algo-price-elasticity in asgard-ai-platform/skills) into .claude/skills/algo-price-elasticity in your project. Claude Code loads it when a task matches its description.
How do I install Algo Price Elasticity in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-price-elasticity -a codex`. Or copy the skill folder (algo-price-elasticity in asgard-ai-platform/skills) into .agents/skills/algo-price-elasticity in your project. Codex loads it when a task matches its description.
Can I use Algo Price Elasticity 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 asgard-ai-platform/skills --skill algo-price-elasticity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-price-elasticity, .gemini/skills/algo-price-elasticity, .github/skills/algo-price-elasticity and .opencode/skills/algo-price-elasticity in your project.
What does Algo Price Elasticity need to run?
Going by SKILL.md and its folder, Algo Price Elasticity needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Algo Price Elasticity 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 Algo Price Elasticity 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 Algo Price Elasticity use?
Algo Price Elasticity 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 Algo Price Elasticity use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Algo Price Elasticity?
Skills that share tags, products or a category with Algo Price Elasticity: Price Elasticity Calculator (revfactory/harness-100, 1.3k stars), Pricing (sickn33/agentic-awesome-skills, 47k stars), Pricing Calculator (mohitagw15856/pm-claude-skills, 1.4k stars) and Pricing Strategy (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo Price Elasticity?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.