think-theory-of-constraints SKILL.md skillA

think-theory-of-constraints from product-on-purpose/thinking-framework-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/thinking-framework-skills/think-theory-of-constraints@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/thinking-framework-skills
Path
skills/think-theory-of-constraints/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Jun 9, 2026
Size
9,655 bytes
Repository stars
25
License
Apache-2.0

Produces a constraint-intervention plan that names the single binding constraint capping a system's throughput and attaches its exploit, subordinate, and elevate decisions, after testing capacity versus demand at each step to confirm that step is genuinely the rate-limiter rather than the loudest one. Use when a system has a clear flow (a pipeline, a funnel, a queue, an approval chain, a production line) whose output is capped by one step and improvement effort is being spread evenly across…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 -->
# Theory of Constraints

The throughput of a whole system is governed by **one binding constraint** - its rate-limiting step - so improving anything other than that constraint does almost nothing for the system as a whole. The default improvement instinct is the opposite: make every part faster, cheaper, more utilized. This skill refuses that reflex. It treats local efficiency at a non-constraint as waste, because a non-bottleneck working harder just piles inventory in front of the bottleneck, and it concentrates effort on the one step that caps the flow while **subordinating** (not optimizing) everything else. The single question it forces is whether one step limits the throughput of the whole, and whether effort is aimed there or scattered. The output is a **constraint-intervention plan** - the named binding step plus its exploit, subordinate, and elevate decisions - not a discussion. This is the Five Focusing Steps reduced to its working core; it is deliberately scoped to the bare bottleneck move, not the full Goldratt operational systems (Drum-Buffer-Rope, Critical
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/thinking-framework-skills/think-theory-of-constraints@sha256:e84366ea61d91159

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4gz7bcvkecfeqhgb.svg)](https://markdownregistry.com/a/art_4gz7bcvkecfeqhgb)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 9, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-06-09 12f4613 9,655 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9655 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/thinking-framework-skills · 25 stars · license Apache-2.0 · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4gz7bcvkecfeqhgb
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/thinking-framework-skills/think-theory-of-constraints
GET https://markdownregistry.com/api/v1/blob/e84366ea61d91159282314a08103b3381c820f03669668c00c62d9cc8db39ca1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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