Agent skill

Mfg Production Planning

by asgard-ai-platform in asgard-ai-platform/skills

Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning.

MITAuto-check passedBusiness, Finance & HR

Install Mfg Production Planning

skills CLI
$ npx skills add asgard-ai-platform/skills --skill mfg-production-planning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgard-ai-platform/skills mfg-production-planning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mfg-production-planning .claude/skills/mfg-production-planning && rm -rf skills-src

Use ~/.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/

Facts

Skill name
mfg-production-planning
GitHub stars
242
Token cost
~1.3k tokens
SKILL.md length
407 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning.

  • Works in 4 steps: Inputs: Demand forecast + customer… → Logic: For each week, calculate:… → Output: Planned production quantities by… → …
  • The user needs to schedule production
  • SKILL.md covers Framework, Output Format, Gotchas and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mfg Production Planning is an agent skill from asgard-ai-platform/skills. Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning. Use this skill when the user needs to schedule production, plan material procurement, balance capacity with demand, or optimize production sequencing — even if they say 'we can't keep up with orders', 'when should we order materials', 'production scheduling', or 'how do we plan for next quarter's demand'.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/demand-forecasting.md` and `references/sop-process.md`).

It sits in Business, Finance & HR, covering Site reliability engineering and Vendor and procurement management. 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 schedule production
  • Plan material procurement
  • Balance capacity with demand
  • Optimize production sequencing — even if they say we cant keep up with orders

Example prompts

  • “we can”
  • “when should we order materials”
  • “production scheduling”
  • “/mfg-production-planning”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Inputs: Demand forecast + customer orders + current inventory + safety stock targets
  2. Logic: For each week, calculate: Production Needed = Demand - Beginning Inventory - Scheduled Receipts + Safety Stock
  3. Output: Planned production quantities by week for each finished product
  4. Constraint: Must not exceed available capacity (rough-cut capacity planning check)

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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Mfg Production Planning loads about 1.3k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 407 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.6k

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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 407 words, ~1,266 tokens.

Download SKILL.mdSave it as .claude/skills/mfg-production-planning/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
mfg-production-planning
description
Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning. Use this skill when the user needs to schedule production, plan material procurement, balance capacity with demand, or optimize production sequencing — even if they say 'we can't keep up with orders', 'when should we order materials', 'production scheduling', or 'how do we plan for next quarter's demand'.
metadata.category
WP-03 製造業
metadata.tags
manufacturing, production-planning, mrp, scheduling

Production Planning (MPS/MRP)

Framework

IRON LAW: Plan Hierarchically — Demand → MPS → MRP → Shop Floor

Production planning flows TOP-DOWN:
1. Demand forecast / customer orders → what to make, when
2. MPS → master schedule for finished goods
3. MRP → material and component requirements (what to buy, when)
4. Shop floor scheduling → which machine, which sequence

Skipping levels (going from demand forecast directly to shop floor)
creates chaos — material shortages, capacity conflicts, missed deliveries.
Planning Hierarchy
LevelPlanHorizonGranularityDecides
StrategicS&OP (Sales & Operations Planning)12-18 monthsMonthly, product familyCapacity investments, workforce planning
TacticalMPS (Master Production Schedule)3-6 monthsWeekly, end productWhat to produce each week
OperationalMRP (Material Requirements Planning)4-12 weeksDaily, component/materialWhat to order, when, how much
ExecutionShop Floor Scheduling1-2 weeksHourly, work centerSequence, machine assignment
MPS Process
  1. Inputs: Demand forecast + customer orders + current inventory + safety stock targets
  2. Logic: For each week, calculate: Production Needed = Demand - Beginning Inventory - Scheduled Receipts + Safety Stock
  3. Output: Planned production quantities by week for each finished product
  4. Constraint: Must not exceed available capacity (rough-cut capacity planning check)
MRP Process
  1. Inputs: MPS (what to make) + BOM (Bill of Materials — what it's made of) + Inventory status + Lead times
  2. Logic: "Explode" the BOM — for each finished good, calculate when each component/material must be ordered to arrive in time
  3. Output: Planned purchase orders and production orders with dates and quantities
  4. Key calculation: Order date = Need date - Lead time
Scheduling Algorithms
AlgorithmRuleBest When
FCFS (First Come First Served)Process in order receivedLow complexity, fairness matters
SPT (Shortest Processing Time)Shortest job firstMinimize average flow time
EDD (Earliest Due Date)Most urgent due date firstMinimize late deliveries
Bottleneck-firstSchedule the constraint first, subordinate restCapacity-constrained environments (TOC logic)
Show full SKILL.md (176 more words)Show less
SMED (Single-Minute Exchange of Die)

Reduce changeover time to increase flexibility:

  1. Separate internal setup (machine stopped) from external (can do while running)
  2. Convert internal to external where possible
  3. Streamline remaining internal steps
  4. Practice and standardize

Output Format

markdown
# Production Plan: {Product/Period}

## Demand vs Capacity
| Week | Demand | Available Capacity | Gap |
|------|--------|-------------------|-----|
| W1 | {units} | {units} | {+/-} |

## Master Production Schedule
| Week | Product A | Product B | Product C | Total |
|------|----------|----------|----------|-------|
| W1 | {units} | {units} | {units} | {units} |

## Material Requirements
| Material | Quantity | Order Date | Supplier | Lead Time |
|----------|---------|-----------|----------|-----------|
| {material} | {qty} | {date} | {supplier} | {days} |

## Scheduling
| Work Center | Mon | Tue | Wed | Thu | Fri |
|------------|-----|-----|-----|-----|-----|
| {center} | {job} | {job} | ... | ... | ... |

Gotchas

  • Forecast accuracy limits everything: MPS/MRP is only as good as the demand forecast. Track forecast accuracy (MAPE) and build safety stock proportional to forecast error.
  • Lead time variability kills plans: If supplier lead time is "2-6 weeks" (4 week variability), you need safety stock for the worst case. Reduce variability through supplier management.
  • BOM accuracy is critical for MRP: A wrong BOM means ordering wrong materials. Audit BOMs quarterly.
  • Frozen zone: The first 1-2 weeks of MPS should be "frozen" (no changes) to allow stable execution. Changes inside the frozen zone cascade chaos through the system.
  • Finite vs infinite capacity: Basic MRP assumes infinite capacity (ignores machine constraints). Always layer a capacity check (rough-cut or detailed) on top of MRP output.

References

  • For S&OP process design, see references/sop-process.md
  • For demand forecasting methods, see references/demand-forecasting.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 3 other files (references) in mfg-production-planning of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/demand-forecasting.md
  • references/sop-process.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Mfg Production Planning 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.

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Serenity Alphahaskaomni/serenity-skill633—~2.6kAutomated safety check: PassMIT
Scorecard Matrixpnp/sharepoint-skills133—~1.9kAutomated safety check: PassMIT
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Questions about Mfg Production Planning

What does Mfg Production Planning do?

Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning. Mfg Production Planning is an agent skill from asgard-ai-platform/skills. Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning.

When should I use Mfg Production Planning?

Mfg Production Planning fits situations like: the user needs to schedule production; plan material procurement; balance capacity with demand; optimize production sequencing — even if they say we cant keep up with orders.

How do I install Mfg Production Planning in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill mfg-production-planning -a claude-code`. Or copy the skill folder (mfg-production-planning in asgard-ai-platform/skills) into .claude/skills/mfg-production-planning in your project. Claude Code loads it when a task matches its description.

How do I install Mfg Production Planning in Codex?

Run `npx skills add asgard-ai-platform/skills --skill mfg-production-planning -a codex`. Or copy the skill folder (mfg-production-planning in asgard-ai-platform/skills) into .agents/skills/mfg-production-planning in your project. Codex loads it when a task matches its description.

Can I use Mfg Production Planning 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 mfg-production-planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mfg-production-planning, .gemini/skills/mfg-production-planning, .github/skills/mfg-production-planning and .opencode/skills/mfg-production-planning in your project.

What does Mfg Production Planning need to run?

SKILL.md names no scripts, command-line tools or credentials: Mfg Production Planning is instructions for the agent only.

Does Mfg Production Planning 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 Mfg Production Planning 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 Mfg Production Planning use?

Mfg Production Planning 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 Mfg Production Planning use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 6.3k tokens, read only when the agent opens those files.

What are the alternatives to Mfg Production Planning?

Skills that share tags, products or a category with Mfg Production Planning: Process Mapper (alirezarezvani/claude-skills, 28k stars), Operations (travisjneuman/.claude, 100 stars), Serenity Alpha (haskaomni/serenity-skill, 633 stars) and Scorecard Matrix (pnp/sharepoint-skills, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mfg Production Planning?

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.