fsl-scheduling-optimization-design SKILL.md skillA

fsl-scheduling-optimization-design from pranavnagrecha/awesomesalesforceskills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pranavnagrecha/awesomesalesforceskills/fsl-scheduling-optimization-design@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pranavnagrecha/awesomesalesforceskills
Path
skills/admin/fsl-scheduling-optimization-design/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Aug 14, 2026
First version recorded
Apr 10, 2026
Size
22,013 bytes
Repository stars
19
License
a license file GitHub does not identify

Use this skill to design, configure, and troubleshoot the Field Service Lightning (FSL) Optimizer — including selecting optimization type (Global, In-Day, Resource Schedule), understanding the priority-score model, configuring travel mode (Aerial vs Street-Level Routing), and tuning optimizer behavior for specific scheduling objectives. NOT for work rules and service-objective weights on a scheduling policy — use admin/fsl-scheduling-policies. NOT for ESO adoption and territory sizing — use…

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

# FSL Scheduling Optimization Design

This skill activates when a practitioner needs to design or troubleshoot the Field Service Lightning Optimizer — the engine that automatically assigns and sequences service appointments across a workforce. It covers optimization type selection, appointment priority scoring mechanics, travel mode configuration, and optimizer job execution. Use the related `fsl-scheduling-policies` skill for work rule and service objective configuration.

---

## Before Starting

Gather this context before working on anything in this domain:

- Confirm the Field Service managed package is installed at version 3.x or higher and that the FSL Optimizer is licensed for the org. The Optimizer is a separate licensed component from the base Field Service package; not all Field Service implementations have it.
- Identify the geographic scale of the operation: the number of service territories being optimized, the average appointment density per technician per day, and whether technicians are concentrated or dispersed across a region.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pranavnagrecha/awesomesalesforceskills/fsl-scheduling-optimization-design@sha256:d670345d8a4a1fd5

The line at the top of this page pins the label v1.0.0, 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_ppxvldm7qm4gev2k.svg)](https://markdownregistry.com/a/art_ppxvldm7qm4gev2k)

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

Versions

The registry has recorded 3 versions of this file, between Apr 10, 2026 and Aug 14, 2026, about one every 63 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-08-14 25df1fd 22,013 BA view · diff
v1.0.02026-05-09 c3c14d8 21,937 BA view · diff
v1.0.02026-04-10 7b51c41 21,848 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 (22013 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

pranavnagrecha/awesomesalesforceskills · 19 stars · license a license file GitHub does not identify · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ppxvldm7qm4gev2k
GET https://markdownregistry.com/api/v1/resolve?ref=pranavnagrecha/awesomesalesforceskills/fsl-scheduling-optimization-design
GET https://markdownregistry.com/api/v1/blob/d670345d8a4a1fd5b8da8959932c4bd6ac6289d1498bb20832bd002bd08a6569

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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