fsl-resource-management

fsl-resource-management is a skill for Claude Code, Codex from BanibrataChatterjee/AwesomeSalesforceSkills. It costs 69 tokens per session (3,788 once invoked), scanned B, original, Apache-2.0.

A guide to Field Service Lightning service resources, such as technicians, crews, or other people and capacity units that can perform work. It covers resource types, skills, certifications, capacity, and customer preferences.

In plain words
What is it for?
Use it to configure service resources, assign skills and certifications, set capacity-based resources, and create resource preferences.
Why use it?
It helps Salesforce identify which resources are qualified, available by capacity, or preferred for a job.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure service resources, assign skills and certifications, set capacity-based resources, and create resource preferences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add BanibrataChatterjee/AwesomeSalesforceSkills --skill fsl-resource-management
Clone the repo
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fsl-resource-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management/github.svg)](https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management)
Your own site
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fsl-resource-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsl-resource-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,788 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.03788
Opus 5 $0.00034 $0.01894
Sonnet 5 $0.00014 $0.00758
Haiku 4.5 $0.00007 $0.00379

Measured 9d ago against content hash 484910717ca0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

fsl-resource-management scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_fsl_resource_management.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- `EndDate` — (optional) certification expiry date; **any record with an EndDate in the past is silently excluded from scheduling without any warning or error**
skills/admin/fsl-resource-management/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FSL Resource Management

This skill activates when a practitioner needs to configure Field Service Lightning service resources — covering ServiceResource object setup, skill and certification assignment, capacity-based resource types, and customer resource preferences. It addresses the full resource data model that the FSL scheduling engine queries when searching for appointment candidates.


Before Starting

Gather this context before working on anything in this domain:

  • Confirm Field Service is enabled (Setup > Field Service Settings). ServiceResource, ServiceResourceSkill, Skill, and ResourcePreference objects must be accessible to the running user.
  • Identify whether the org uses capacity-based resources. Capacity-based resources (IsCapacityBased = true) are managed differently from time-slot-available technicians and require ServiceResourceCapacity records instead of shift-based availability.
  • Collect the skill catalog — the set of Skill records that already exist in the org. ServiceResourceSkill junction records reference existing Skill records by ID. Creating skills that duplicate existing ones causes invisible duplicate-assignment errors.
  • Understand certification expiry requirements. ServiceResourceSkill supports optional StartDate and EndDate fields. Any record whose EndDate is in the past is silently treated as inactive by the scheduler — no error, the resource simply drops out of candidate results.
  • Note the hard scheduling limit of 20 candidates returned per scheduling search. If a territory has many qualified resources, only 20 are evaluated. Skill-level ordering and resource preferences influence which 20 are surfaced.

Core Concepts

ServiceResource Object and ResourceType

ServiceResource represents any person, crew, vehicle, or tool participating in field service operations. The ResourceType field determines how the record behaves in the scheduling engine:

ResourceType Description Linked to User?
Technician An individual field worker. Can be linked to a Salesforce User record via the RelatedRecordId field. Optional — can exist without a User
Crew A group of technicians acting as a single schedulable unit. Members are added via ServiceCrewMember. No User link

Read the full file on GitHub · 257 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 257 lines · 69 tokens per session scan B 484910717ca0

Subscribe to this mod's changes

fsl-resource-management is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 3,788 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.