Vc Problem Solving
withkynam/vibecode-pro-max-kit
Apply systematic problem-solving techniques when stuck. An agent skill from withkynam/vibecode-pro-max-kit.
Solve the newsvendor problem for single-period ordering decisions under uncertain demand.
MITAuto-check passed
Install Algo Sc Newsvendor
$ npx skills add asgard-ai-platform/skills --skill algo-sc-newsvendor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-sc-newsvendor --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-sc-newsvendor .claude/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .claude/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendorType 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-sc-newsvendor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-sc-newsvendor --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-sc-newsvendor .agents/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .agents/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-sc-newsvendor --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-sc-newsvendor .cursor/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .cursor/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendor--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-sc-newsvendor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-sc-newsvendor --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-sc-newsvendor .gemini/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .gemini/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendorInstalls 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-sc-newsvendor -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-sc-newsvendor .github/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .github/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendor -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-sc-newsvendor --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-sc-newsvendor .opencode/skills/algo-sc-newsvendor && 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-sc-newsvendor" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-sc-newsvendor into .opencode/skills/algo-sc-newsvendor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-sc-newsvendor", 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-sc-newsvendor- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 434 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Solve the newsvendor problem for single-period ordering decisions under uncertain demand.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to determine optimal order quantity for perishable goods
- 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 Sc Newsvendor is an agent skill from asgard-ai-platform/skills. Solve the newsvendor problem for single-period ordering decisions under uncertain demand. Use this skill when the user needs to determine optimal order quantity for perishable goods, seasonal products, or one-time purchase decisions — even if they say 'how much to order for this season', 'perishable inventory', or 'single-period ordering'.
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/constrained-newsvendor.md` and `references/demand-fitting.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 determine optimal order quantity for perishable goods
- Seasonal products
- One-time purchase decisions — even if they say how much to order for this season
- Perishable inventory
Example prompts
- “how much to order for this season”
- “perishable inventory”
- “single-period ordering”
- “/algo-sc-newsvendor”
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 Sc Newsvendor loads about 1.1k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 434 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). 434 words, ~1,099 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-sc-newsvendor/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- algo-sc-newsvendor
- description
- Solve the newsvendor problem for single-period ordering decisions under uncertain demand. Use this skill when the user needs to determine optimal order quantity for perishable goods, seasonal products, or one-time purchase decisions — even if they say 'how much to order for this season', 'perishable inventory', or 'single-period ordering'.
- metadata.category
- WP-41 供應鏈演算法
- metadata.tags
- supply-chain, newsvendor, inventory, demand-uncertainty
Newsvendor Model
Overview
The newsvendor model determines optimal order quantity for a single selling period with uncertain demand. Balances overage cost (Co = cost - salvage) against underage cost (Cu = price - cost). Optimal Q* satisfies: P(D ≤ Q*) = Cu / (Cu + Co). Known as the critical ratio solution.
When to Use
Trigger conditions:
- One-time or seasonal purchasing decisions (fashion, holiday goods, event tickets)
- Perishable products with no restocking opportunity
- Setting initial stocking levels before demand is observed
When NOT to use:
- For continuous replenishment with stable demand (use EOQ)
- When backorders are acceptable and demand carries over (multi-period models)
Algorithm
IRON LAW: The Critical Ratio Determines Optimal Service Level
Q* = F⁻¹(Cu / (Cu + Co)) where F⁻¹ is the inverse demand CDF.
If margin is high relative to cost (Cu >> Co), order MORE (high service level).
If margin is low relative to excess cost (Co >> Cu), order LESS (low service level).
The optimal solution almost NEVER equals expected demand.Phase 1: Input Validation
Define: unit cost (c), selling price (p), salvage value (v), demand distribution (mean μ, std σ). Compute: Cu = p - c, Co = c - v. Gate: p > c > v (profitable with positive overage cost), demand distribution estimated.
Phase 2: Core Algorithm
- Critical ratio: CR = Cu / (Cu + Co) = (p - c) / (p - v)
- If demand ~ Normal(μ, σ): Q* = μ + z(CR) × σ where z(CR) = inverse normal CDF at CR
- Expected profit = Cu × E[min(Q,D)] - Co × E[max(Q-D, 0)]
- Expected units sold = μ - σ × L(z) where L(z) is the standard loss function
Phase 3: Verification
Check: Q* > 0, CR between 0 and 1, Q* is above or below μ depending on whether CR > or < 0.5. Gate: Q* directionally correct relative to mean demand.
Phase 4: Output
Return optimal order quantity with profit analysis.
Output Format
{
"optimal_quantity": 130,
"critical_ratio": 0.71,
"expected_profit": 2800,
"expected_leftover": 15,
"expected_stockout_probability": 0.29,
"metadata": {"price": 50, "cost": 20, "salvage": 5, "demand_mean": 100, "demand_std": 30}
}Examples
Sample I/O
Input: p=$50, c=$20, v=$5, D~Normal(100, 30) Expected: Cu=30, Co=15, CR=30/45=0.667, z=0.43, Q*=100+0.43×30=113 units.
Show full SKILL.md (187 more words)Show less
Edge Cases
| Input | Expected | Why |
|---|---|---|
| v = 0 (total loss) | Lower Q*, conservative | High overage cost pushes order down |
| p >> c (high margin) | Q* well above mean | Worth risking excess to avoid lost sales |
| σ = 0 (certain demand) | Q* = μ exactly | No uncertainty, order exactly demand |
Gotchas
- Distribution choice matters: Normal allows negative demand. For low-mean items, use Poisson or truncated normal. For high CV, use lognormal.
- Demand estimation: The hardest part is estimating μ and σ. Use historical data, expert judgment, or Bayesian updating from early sales signals.
- Risk aversion: The newsvendor model is risk-neutral. Risk-averse decision makers systematically under-order relative to Q*. Adjust for behavioral bias.
- Multi-product constraints: With a shared budget constraint across products, solve the constrained newsvendor (Lagrangian relaxation).
- Salvage value assumption: Assumes all excess can be salvaged at v. If disposal has a cost (v < 0), the model still works but Q* drops further.
Scripts
| Script | Description | Usage |
|---|---|---|
scripts/newsvendor.py | Compute newsvendor optimal quantity, expected profit, and fill rate | python scripts/newsvendor.py --help |
Run python scripts/newsvendor.py --verify to execute built-in sanity tests.
References
- For multi-product constrained newsvendor, see
references/constrained-newsvendor.md - For demand distribution fitting, see
references/demand-fitting.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-sc-newsvendor of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_input.json
- references/constrained-newsvendor.md
- references/demand-fitting.md
- scripts/newsvendor.py
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo Sc Newsvendor 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 Sc Newsvendor this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Vc Problem Solvingwithkynam/vibecode-pro-max-kit | 1.1k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Is This A Problemanthropics/claude-for-legal | 9.6k | 2 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| CSS Orderthedaviddias/Front-End-Checklist | 74k | — | ~404 | Automated safety check: Pass | MIT | |
| Focus Orderthedaviddias/Front-End-Checklist | 74k | — | ~519 | Automated safety check: Pass | MIT | |
| Heading Orderthedaviddias/Front-End-Checklist | 74k | — | ~452 | Automated safety check: Pass | MIT |
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Questions about Algo Sc Newsvendor
What does Algo Sc Newsvendor do?
Solve the newsvendor problem for single-period ordering decisions under uncertain demand. Algo Sc Newsvendor is an agent skill from asgard-ai-platform/skills. Solve the newsvendor problem for single-period ordering decisions under uncertain demand.
When should I use Algo Sc Newsvendor?
Algo Sc Newsvendor fits situations like: the user needs to determine optimal order quantity for perishable goods; seasonal products; one-time purchase decisions — even if they say how much to order for this season; perishable inventory.
How do I install Algo Sc Newsvendor in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-sc-newsvendor -a claude-code`. Or copy the skill folder (algo-sc-newsvendor in asgard-ai-platform/skills) into .claude/skills/algo-sc-newsvendor in your project. Claude Code loads it when a task matches its description.
How do I install Algo Sc Newsvendor in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-sc-newsvendor -a codex`. Or copy the skill folder (algo-sc-newsvendor in asgard-ai-platform/skills) into .agents/skills/algo-sc-newsvendor in your project. Codex loads it when a task matches its description.
Can I use Algo Sc Newsvendor 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-sc-newsvendor -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-sc-newsvendor, .gemini/skills/algo-sc-newsvendor, .github/skills/algo-sc-newsvendor and .opencode/skills/algo-sc-newsvendor in your project.
What does Algo Sc Newsvendor need to run?
Going by SKILL.md and its folder, Algo Sc Newsvendor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Algo Sc Newsvendor 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 Sc Newsvendor 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 Sc Newsvendor use?
Algo Sc Newsvendor 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 Sc Newsvendor use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 5k tokens, read only when the agent opens those files.
What are the alternatives to Algo Sc Newsvendor?
Skills that share tags, products or a category with Algo Sc Newsvendor: Vc Problem Solving (withkynam/vibecode-pro-max-kit, 1.1k stars), Is This A Problem (anthropics/claude-for-legal, 9.6k stars), CSS Order (thedaviddias/Front-End-Checklist, 74k stars) and Focus Order (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo Sc Newsvendor?
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.