foundations-theory-of-constraints SKILL.md skillA
foundations-theory-of-constraints from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/foundations-theory-of-constraints@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/foundations-theory-of-constraints/SKILL.md- Versions recorded
- 2
- Latest version
- v1.3, committed Oct 12, 2026
- First version recorded
- Oct 5, 2026
- Size
- 22,190 bytes
- Repository stars
- 101
- License
- MIT
Theory of Constraints primitives for focusing steps, drum-buffer-rope, throughput accounting, critical chain, and policy constraints. Use when sequencing by bottleneck.
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
# Theory of Constraints Foundations ## When to Apply **Apply theory-of-constraints when:** - One bottleneck demonstrably gates total system throughput (the system has a constraint, not many) - Roadmap or capacity-allocation under a hard limited resource (eng-weeks, GPU-hours, account-managers) - Funnel debug where a single step blocks downstream conversion - Policy constraint suspected (a rule, not a physical limit, is what's holding throughput) - Subordination question — "should other steps slow down to match the bottleneck?" - Post-AI adoption reassessment — when AI coding tools improve individual velocity but delivery metrics stay flat (DORA's throughput group: change lead time, deployment frequency, failed-deployment recovery time; instability group: change fail rate, deployment rework rate), re-run 5FS. DORA 2024 associated AI adoption with lower delivery throughput and lower stability; DORA 2025 (n≈5,000) found throughput positive and stability still negative, and replaced its four performance tiers with seven team archetypes. The sign of the throughput effect changed between years, so treat any single year as unstable. That the constraint moved to code review… …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/foundations-theory-of-constraints@sha256:362d930f3085ca13The line at the top of this page pins the label v1.3, 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.
[](https://markdownregistry.com/a/art_xcdxqw5ttllgzf4x)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 12, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-12 | 34b57f4 | 22,190 B | A | view · diff |
| v1.3 | 2026-10-05 | 5db538c | 21,896 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (22190 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xcdxqw5ttllgzf4x GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-theory-of-constraints GET https://markdownregistry.com/api/v1/blob/362d930f3085ca13633aae21f753cdc4bbdee0053b67ea61443755fef9888ebf
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.