Agent skill

Life Sciences Kam Coordinate

by forcedotcom in forcedotcom/sf-skills

A skill your agent uses to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence.

Apache-2.0Auto-check passedSales & Support

Install Life Sciences Kam Coordinate

skills CLI
$ npx skills add forcedotcom/sf-skills --skill life-sciences-kam-coordinate -a claude-code

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

GitHub CLI
$ gh skill install forcedotcom/sf-skills life-sciences-kam-coordinate --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/forcedotcom/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/life-sciences-kam-coordinate .claude/skills/life-sciences-kam-coordinate && 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
life-sciences-kam-coordinate
GitHub stars
1.1k
Token cost
~5.3k tokens
SKILL.md length
2,316 words
Files
18 (incl. references)
Skills in repo
251
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence.

  • Works in 9 steps: Org Selection (MANDATORY, runs first) → Introduction and Confirmation → Execute Stage 1: Prerequisites Validation → …
  • Run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence
  • SKILL.md covers Scope Guard (evaluate FIRST), Required Inputs, Execution Order (MANDATORY) and Workflow, plus 6 more sections
  • Calls sf and git; reaches login.salesforce.com and test.salesforce.com

What it does

Life Sciences Kam Coordinate is an agent skill from forcedotcom/sf-skills. Use this skill to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence. Trigger when the user says 'set up Life Sciences Cloud end to end for kam user', 'run the full LSC setup for kam user', 'orchestrate Life Sciences Cloud configuration for kam user', 'complete LSC setup for kam user', or 'Life Sciences Cloud full install for kam user'. Executes six stages in order: prerequisites validation, starter config deployment, territory configuration, participant…

Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including reference files (for example `references/orchestration-flow.md`, `references/stage-2-starter-config-application-flexipage-mapping.md` and `references/stage-2-starter-config-deploy-commands.md`).

It sits in Sales & Support, covering Customer success and End-to-end testing. The repository describes itself as: Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools. The licence is Apache-2.0.

When your agent uses it

  • Run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence
  • The user says set up Life Sciences Cloud end to end for kam user
  • Run the full LSC setup for kam user
  • Orchestrate Life Sciences Cloud configuration for kam user

Example prompts

  • “set up Life Sciences Cloud end to end for kam user”
  • “run the full LSC setup for kam user”
  • “orchestrate Life Sciences Cloud configuration for kam user”
  • “/life-sciences-kam-coordinate”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Org Selection (MANDATORY, runs first)
  2. Introduction and Confirmation
  3. Execute Stage 1: Prerequisites Validation
  4. Execute Stage 2: Starter Config Deploy
  5. Execute Stage 3: Territory Configuration
  6. Execute Stage 4: Participant Role & Sprint
  7. Execute Stage 5: KAM Data & Plan Templates
  8. Execute Stage 6: KAM User Provisioning
  9. Final Summary, Cleanup & On-Device Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e5164d9. 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

    Shell commands in SKILL.md call:

    • sf
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • login.salesforce.com
    • test.salesforce.com
    • github.com

    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

Life Sciences Kam Coordinate loads about 5.3k tokens when it runs, and up to ~40k if it reads all its reference files. Until then it costs about 233 tokens; SKILL.md has 2,316 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~233
When it runs · the whole SKILL.md, loaded when a task matches
~5.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~40k

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 forcedotcom/sf-skills at commit e5164d9, republished under its Apache-2.0 licence (© forcedotcom). 2,316 words, ~5,329 tokens.

Download SKILL.mdSave it as .claude/skills/life-sciences-kam-coordinate/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
life-sciences-kam-coordinate
description
Use this skill to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence. Trigger when the user says 'set up Life Sciences Cloud end to end for kam user', 'run the full LSC setup for kam user', 'orchestrate Life Sciences Cloud configuration for kam user', 'complete LSC setup for kam user', or 'Life Sciences Cloud full install for kam user'. Executes six stages in order: prerequisites validation, starter config deployment, territory configuration, participant role and sprint creation, KAM data and plan-template (goals, tasks, measures) creation, and KAM user provisioning — gating each stage on the success of the previous one. DO NOT TRIGGER when: the user wants to run only one specific stage individually, or when the request targets a field sales rep rather than a KAM user (use life-sciences-fieldsalesrep-coordinate for that persona).
metadata.version
1.0
metadata.minApiVersion
65.0
metadata.domains
Life Sciences
metadata.relatedSkills
life-sciences-fieldsalesrep-coordinate, life-sciences-prerequisites-validate, life-sciences-territory-configure

Life Sciences Cloud KAM End-to-End Orchestrator

Runs the complete Life Sciences Cloud setup for a key account management (KAM) user as six stages in strict sequence, gating each on the previous stage's success. Each stage delegates to a child skill or reference workflow (see Execution Order).

Scope Guard (evaluate FIRST)

Serve only requests for the full end-to-end LSC setup for a KAM user. A single stage/phase/step is never invokable here — never silently expand a partial ask into the whole flow. Before any work:

  • Field sales rep persona (not KAM) → redirect to life-sciences-fieldsalesrep-coordinate; stop.
  • Unrelated to LSC setup (at start or mid-run) → do not attempt it; say you did not understand and show what you can help with (full end-to-end LSC KAM setup, or standalone life-sciences-prerequisites-validate / life-sciences-territory-configure); stop.
  • Single stage with its own standalone skill — prerequisites (1) or territory config (3) → redirect to that skill; stop.
  • Single stage with no standalone skill — config deploy (2), participant role/sprint (4), data and plan templates (5), user provisioning (6) → explain these run only inside the full flow; stop. Do not launch the full flow unless the user then asks.

Continue only for the complete end-to-end KAM setup: the full flow in order with gates, each stage's work delegated to child skills / reference files.


Required Inputs

  • Target org: the org to deploy to — selected by the user from connected orgs or a freshly authenticated org (Phase 0). Never assume a default org silently; the user confirms or selects it before any stage runs.

Execution Order (MANDATORY)

Terminology: Stage = one of the 6 units of work, each delegated to a child skill/reference; Phase = a named group inside a stage; Step = an atomic action inside a phase.

Run in this order, each gated on the previous (dependency diagram in references/orchestration-flow.md):

#StageRunsGate (must pass to advance)Output
—Setup: download .lsc-starter-config/LSStarterConfig—Folder present (MANDATORY — hard stop)Shared source folder in CWD
1Prerequisites Validationlife-sciences-prerequisites-validate skillAll prerequisites PASSOrg confirmed ready
2Starter Config Deployreferences/stage-2-starter-config-overview.md13 deploy steps + KAM config records succeedLSC Custom Profile + KAM/Sprint settings
3Territory Configurationlife-sciences-territory-configure skillTerritory model Active + L3 territoryLevel-3 territory ID + name
4Participant Role & Sprintreferences/stage-4-participant-role-and-sprint.mdParticipant role + sprint createdRole + Sprint IDs
5KAM Data & Plan Templatesreferences/stage-5-data-and-plan-templates-overview.mdAccount/HCP/product/territory data created + goals, template (Final), items, assignment created + goals/template/PATI shared to the leaf territoryAccount + product master data + published ActionPlanTemplate
6KAM User Provisioningreferences/stage-6-user-provisioning-overview.mdUser created, permsets + territory assigned; metadata cache generatedKAM username

Workflow

Phase 0 — Org Selection (MANDATORY, runs first)

Establish which org to use every time — never silently reuse the default org.

  1. List connected orgs with sf org list --json, then present the authenticated (non-expired) orgs as a numbered list (alias, username, org type, default marker), plus an option N to log in to a fresh org.
  2. Ask the user to choose a number or N.
  3. Handle the selection:
    • Existing org → capture its username/alias as the target org.
    • Fresh org (N) → ask for the login URL (https://login.salesforce.com, https://test.salesforce.com, or a My Domain URL) and an alias, then run the login command yourself: sf org login web --instance-url <url> --alias <alias> --set-default. Do not hand the command to the user to run — execute it directly. It opens a browser on the user's machine for them to complete the login interactively; the command then returns. After it finishes, re-run sf org list --json to confirm.
  4. Confirm the target org back to the user and store it in OrchestrationState.targetOrg.

If sf org list returns no authenticated orgs, go straight to the fresh-org login (option N).

Phase 1 — Introduction and Confirmation
  1. Present the workflow to the user — a "Life Sciences Cloud — Full KAM Setup Workflow" header, the target org, and the 6 stages in order with a one-line summary each: (1) Validate Prerequisites; (2) Deploy Starter Configuration (objects, profiles, config records incl. KAM & Sprint settings, layouts, flexipages); (3) Configure Territories; (4) Create Participant Role & Sprint; (5) Create KAM Data & Plan Templates (account, provider, product, territory data + goals, tasks, measures, published action plan template); (6) Provision KAM User (profile/permsets/territory + mobile metadata cache).

  2. Ask for confirmation: "Ready to begin the full LSC KAM setup? (yes/no)"

  3. Download the shared source folder FRESH (MANDATORY — hard gate, before any stage). Stages 2 (metadata + config records) and 5 (Data CSVs) read from .lsc-starter-config/LSStarterConfig/; those stages do NOT download or delete it — the orchestrator owns one fresh download here and one delete in Phase 9. Always re-pull — never reuse an existing folder (a stale copy would skip newly added components). Delete any pre-existing .lsc-starter-config first, then sparse-checkout the subtree fresh:

    bash
    rm -rf .lsc-starter-config lsstarter-tmp
    git clone --no-checkout --depth 1 --filter=blob:none \
      https://github.com/SalesforceLabs/LSStarterConfig.git lsstarter-tmp
    cd lsstarter-tmp && git sparse-checkout init --cone \
      && git sparse-checkout set Codey/LSStarterConfig && git checkout && cd ..
    mv lsstarter-tmp/Codey ./.lsc-starter-config && rm -rf lsstarter-tmp

    .lsc-starter-config/LSStarterConfig/ has its own sfdx-project.json (pins sourceApiVersion: 65.0) — deploy steps must run from inside it.

  4. Download gate — verify before proceeding. Confirm .lsc-starter-config/LSStarterConfig/sfdx-project.json and .lsc-starter-config/LSStarterConfig/Data/ exist (e.g. ls .lsc-starter-config/LSStarterConfig/sfdx-project.json .lsc-starter-config/LSStarterConfig/Data).

    • If present → set sourceFolderDownloaded: true and proceed to Phase 2.
    • If missing/failed → STOP. Do NOT proceed to any stage — every stage depends on this folder. Report the failure (likely: no network / GitHub unreachable, git < 2.25, or disk/permission), leave sourceFolderDownloaded: false, and do not advance. Fix the cause and re-run, or download the folder manually into the CWD.
Phase 2 — Execute Stage 1: Prerequisites Validation
  1. Run the prerequisites validation following the life-sciences-prerequisites-validate skill workflow exactly.

  2. Gate check: If ALL prerequisites pass → proceed to Stage 2. If ANY fails → stop, present the failure table, and ask: "Continue anyway (skip failed prerequisites), or stop and fix them first?" Stop → end the workflow. Continue → proceed with a warning that later stages may fail.

Phase 3 — Execute Stage 2: Starter Config Deploy
  1. Run the starter config deployment following references/stage-2-starter-config-overview.md exactly (all 13 deploy steps + the KAM/Sprint config-record edits); read its own reference files as directed. The KAM adaptation deploys only the KAM-relevant layouts (4) and flexipages (6) — all of them, automatically, with no selection prompt — and confirms the StandardValueSet picklist values with the admin (three business-framed groups) BEFORE deploying them, then writes those confirmed values into the KAMSettings_OrgLevel and SprintSettings_OrgLevel config records.

  2. Gate check: Verify the LSC Custom Profile exists:

    bash
    sf data query --query "SELECT Id, Name FROM Profile WHERE Name = 'LSC Custom Profile'" --target-org <org> --json
    • If profile exists → proceed to Stage 3. If not found → stop and report deployment failure.
Phase 4 — Execute Stage 3: Territory Configuration
  1. Run the territory configuration following the life-sciences-territory-configure skill workflow exactly. If an active territory model already exists, use it and show the hierarchy rather than creating a new one.

  2. Gate check: Verify the territory model is Active and a level-3 territory exists:

    bash
    sf data query --query "SELECT Id, Name, DeveloperName, Territory2Model.State FROM Territory2 WHERE ParentTerritory2.ParentTerritory2Id != null AND Territory2Model.State = 'Active'" --target-org <org> --json
    • If found → capture the level-3 territory ID + name (OrchestrationState.territoryId) and tell the user this leaf territory is the single territory reused for Stage 5 (ProductTerritoryAvailability) and Stage 6 (UserTerritory2Association for both admin and KAM user). Proceed to Stage 4.
    • If not found → stop and report the issue.
Phase 5 — Execute Stage 4: Participant Role & Sprint
  1. Create the participant role and sprint following references/stage-4-participant-role-and-sprint.md exactly. Only the MasterLabel/Name fields are confirmed with the admin; all other fields are auto-derived and shown for confirmation.

  2. Gate check: Verify a ParticipantRole (DeveloperName = 'Rep_Execution_Specialist', IsActive = true) and a Sprint (Status Not Started) exist. If either is missing → stop and report.

Phase 6 — Execute Stage 5: KAM Data & Plan Templates

Both parts run as the admin, in order, from the single reference references/stage-5-data-and-plan-templates-overview.md (Part A = data, Part B = plan templates).

  1. Create the KAM data (Part A) following the reference exactly. Pass the Stage-3 level-3 territory. Creates (from the Data CSVs): Account, HealthcareProvider, ObjectTerritory2Association, ProviderAcctTerritoryInfo, Product2, LifeSciMarketableProduct, ContactPointAddress, ProductTerritoryAvailability.

  2. Part A gate check: Verify the Account, LifeSciMarketableProduct, and ProductTerritoryAvailability (on the Stage-3 territory) exist; capture the LifeSciMarketableProduct ID (Part B uses it). If any missing → stop.

  3. Create the goals, tasks, measures, and action plan template (Part B) following the same reference exactly (stay on the admin login). Creates 2 GoalDefinition records, a GoalDefinitionProduct, an ActionPlanTemplate (+ auto ActionPlanTemplateVersion), 3 ActionPlanTemplateItem records, publishes the template (status → Final), creates an ActionPlanTemplateAssignment, and shares the 2 GoalDefinition records, the ActionPlanTemplate, and both ProviderAcctTerritoryInfo records to the Stage-3 leaf-territory Group (5 manual shares total) so the KAM user reaches them through the territory. Only the record names are confirmed with the admin.

  4. Part B gate check: Verify the template is published (a Final ActionPlanTemplateVersion exists), an ActionPlanTemplateAssignment exists, and the leaf-territory shares exist (2 GoalDefinitionShare + 1 ActionPlanTemplateShare + 2 ProviderAcctTerritoryInfoShare whose UserOrGroupId is the Stage-3 territory Group). If not → stop.

Show full SKILL.md (912 more words)Show less
Phase 7 — Execute Stage 6: KAM User Provisioning
  1. Provision the KAM user following references/stage-6-user-provisioning-overview.md exactly. Pass the Stage-3 level-3 territory. Creates a user whose username contains kam, assigns the permission sets Health Cloud Starter, Life Sciences Key Account Management, Life Sciences Field Sales Representative, and Life Sciences Core, assigns both the admin and the KAM user to the level-3 territory (confirm with admin — MUST be the same territory used for ProductTerritoryAvailability in Stage 5), and generates the mobile metadata cache via the Connect API.

  2. Gate check (STOP-GATE — Stage 6 completeness). Do NOT accept "user created" as passing. Verify the user is IsActive=true on LSC Custom Profile, has a UserTerritory2Association to the Stage-3 territory, the metadata cache reached Status='Active', and the assigned-permset count is 4 ({HealthCloudStarter, LifeSciencesKeyAccountManager, LifeSciencesFieldSalesRepresentative, LifeSciencesCore}):

    bash
    sf data query --query "SELECT COUNT(Id) c FROM PermissionSetAssignment WHERE AssigneeId = '<newUserId>' AND PermissionSet.IsOwnedByProfile = false" --target-org <org> --json

    If < 2, or the territory assignment or metadata cache is missing, re-run the missing part before finishing.

Phase 8 — Final Summary, Cleanup & On-Device Validation
  1. Display the complete workflow summary — a "Life Sciences Cloud KAM Setup Complete" header, then one block per stage with actual values: (1) prerequisites confirmed; (2) objects/profiles/config records deployed, KAM & Sprint settings written, layouts + flexipages, 28 trigger handlers; (3) Territory Model <model> (Active) + Level-3 <territory>; (4) Participant Role Rep Execution Specialist + Sprint <name>; (5) Account + HCP, product master data, ProductTerritoryAvailability on <territory>, 2 Goal Definitions, ActionPlanTemplate <name> (Final) + 3 items + assignment, goals + template + 2 PATI shared to territory <territory>; (6) User <name> (<username>) on LSC Custom Profile, permsets Health Cloud Starter + Life Sciences Key Account Management + Life Sciences Field Sales Representative + Life Sciences Core, Territory <territory> (admin + KAM), mobile metadata cache generated. Close: "The org is ready for Life Sciences Cloud key account management workflows."

  2. Cleanup — delete the shared source folder ONCE. After the final summary (all 6 stages complete), run from the CWD:

    bash
    rm -rf .lsc-starter-config

    Do this silently — do NOT print a cleanup line or mention the deletion. Skip if the workflow stopped on a failure and the user may resume — keep the folder so a resumed stage can still read it. This is the single deletion for the whole flow; child skills never delete it.

  3. Display the on-device (iPad) validation script and await confirmation. Once the metadata cache is Status='Active' and the summary is shown, display the script verbatim from references/stage-6-ipad-validation-script.md (the login uses the Stage-6 KAM user's credentials), then wait for the user to confirm the on-device steps succeeded. Once confirmed, the setup is complete.


State Tracking

Maintain overall orchestration state:

text
OrchestrationState = {
  targetOrg: string,
  sourceFolderDownloaded: boolean,   // downloaded in Phase 1, deleted in Phase 9
  territoryId?: string, territoryName?: string,   // captured in Stage 3, reused in Stages 5 & 6
  stages: [
    { name: "Prerequisites",       status: "pending|running|passed|failed|skipped" },
    { name: "StarterConfig",       status: "pending|running|passed|failed" },
    { name: "TerritorySetup",      status: "pending|running|passed|failed", territoryId?: string, territoryName?: string },
    { name: "ParticipantSprint",   status: "pending|running|passed|failed", roleId?: string, sprintId?: string },
    { name: "DataAndPlanTemplates",status: "pending|running|passed|failed", accountId?: string, marketableProductId?: string, templateVersionId?: string },
    { name: "UserProvisioning",    status: "pending|running|passed|failed", userId?: string, username?: string }
  ]
}

Idempotent Stage Transitions & Mid-Flow Changes

Stages are not re-entrant. Before executing any stage, check its status: running → reply "Stage N is already in progress" and take no action; passed → ask explicit confirmation before re-running; failed → re-run (recovery); pending → advance. Set running at execution start (not on user input) so accidental double-confirms never run a stage twice.

If the user requests a change to an earlier stage's inputs while a later stage is in progress/pending, run an impact assessment first: acknowledge without applying, identify affected vs. unaffected stages, present options (re-run affected / apply forward only / cancel), and wait for the decision. Surface destructive-change warnings (an activated territory model can't be deleted; an existing user/records/published template remain).

The full behavior matrix, impact-assessment template, per-change impact mapping, and destructive-change warnings are in references/state-machine-and-changes.md.


Rules / Constraints

  • Org: run Phase 0 org selection first; never silently reuse the default org.
  • Shared folder: download .lsc-starter-config/LSStarterConfig exactly once (Phase 1 hard gate), delete it exactly once (Phase 9); child skills never touch it — Stages 2 and 5 read it, so proceeding without it fails downstream.
  • Order: execute stages strictly 1→6, gating each on prior success; capture each stage's outputs (IDs, names) for later stages.
  • Territory invariant: reuse the SAME Stage-3 level-3 territory (OrchestrationState.territoryId) for Stage 5 (ProductTerritoryAvailability) and Stage 6 (user alignment), or the KAM user sees no data.
  • Confirmation: confirm only the fields each stage marks admin-confirmable; auto-derive the rest and show for confirmation.
  • Idempotency: never re-execute a running/passed stage without confirmation (set running at execution start); impact-assess before applying mid-flow changes.

Gotchas

IssueResolution
Source download fails in Phase 1Hard stop — do NOT run any stage. Fix the cause or download .lsc-starter-config/LSStarterConfig manually into the CWD, then re-run
No connected orgs foundGo straight to the fresh-org login (sf org login web) in Phase 0
Artifacts exist from a prior runChild skills/references are idempotent/upsert-safe — query to confirm, then skip or re-run
Stage re-triggered, or earlier input changed mid-flowSee references/state-machine-and-changes.md

Resume / Partial Re-run

If the user may have already completed some stages, ask which, then verify each claimed-complete stage by querying the org (1 = ask; 2 = LSC Custom Profile; 3 = active model + L3 territory; 4 = ParticipantRole + Sprint; 5 = Account + ProductTerritoryAvailability + Final version + assignment; 6 = kam user + permsets + territory), skip verified stages, and resume from the first incomplete one. Exact per-stage queries: references/orchestration-flow.md → Resume Logic.


Reference File Index

FileWhen to read
references/orchestration-flow.mdAt start — dependency diagram, gate + resume-detection queries, timing
references/state-machine-and-changes.mdOn a re-triggered stage or a mid-flow input change
references/stage-2-starter-config-overview.mdStage 2 — 13-step deploy + KAM/Sprint config records (points to sibling refs)
references/stage-4-participant-role-and-sprint.mdStage 4 — participant role + sprint
references/stage-5-data-and-plan-templates-overview.mdStage 5 — KAM data creation (Part A, points to its data ref) + goals, tasks, measures, action plan template (Part B)
references/stage-6-user-provisioning-overview.mdStage 6 — user provisioning + metadata cache (points to sibling refs)
references/stage-6-ipad-validation-script.mdFinal step — on-device (iPad) validation script shown after the metadata cache is Active

© forcedotcom, Apache-2.0. 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 17 other files (references) in skills/life-sciences-kam-coordinate of forcedotcom/sf-skills.

  • SKILL.md
  • references/orchestration-flow.md
  • references/stage-2-starter-config-application-flexipage-mapping.md
  • references/stage-2-starter-config-deploy-commands.md
  • references/stage-2-starter-config-kam-config-records.md
  • references/stage-2-starter-config-lifesci-metadata-deploy.md
  • references/stage-2-starter-config-overview.md
  • references/stage-2-starter-config-profile-layout-assignments.md
  • references/stage-2-starter-config-state-tracking.md
  • references/stage-2-starter-config-trigger-handlers.md
  • references/stage-4-participant-role-and-sprint.md
  • references/stage-5-data-and-plan-templates-overview.md
  • references/stage-5-data-creation-data.md
  • references/stage-6-ipad-validation-script.md
  • references/stage-6-metadata-cache-generation.md
  • references/stage-6-user-provisioning-details.md
  • references/stage-6-user-provisioning-overview.md
  • references/state-machine-and-changes.md

Open the folder on GitHubat commit e5164d9

Compare with similar skills

Life Sciences Kam Coordinate 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.

Life Sciences Kam Coordinate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Youtube SearchZeroPointRepo/youtube-skills1k1 repos~1.8kAutomated safety check: PassMIT
YtZeroPointRepo/youtube-skills1k1 repos~951Automated safety check: PassMIT
Loki Modedavila7/claude-code-templates32k7 repos~7.1kAutomated safety check: WarnMIT

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Questions about Life Sciences Kam Coordinate

What does Life Sciences Kam Coordinate do?

A skill your agent uses to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence. Life Sciences Kam Coordinate is an agent skill from forcedotcom/sf-skills. Use this skill to run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence.

When should I use Life Sciences Kam Coordinate?

Life Sciences Kam Coordinate fits situations like: run the full end-to-end Life Sciences Cloud setup workflow for a key account management (KAM) user in sequence; the user says set up Life Sciences Cloud end to end for kam user; run the full LSC setup for kam user; orchestrate Life Sciences Cloud configuration for kam user.

How do I install Life Sciences Kam Coordinate in Claude Code?

Run `npx skills add forcedotcom/sf-skills --skill life-sciences-kam-coordinate -a claude-code`. Or copy the skill folder (skills/life-sciences-kam-coordinate in forcedotcom/sf-skills) into .claude/skills/life-sciences-kam-coordinate in your project. Claude Code loads it when a task matches its description.

How do I install Life Sciences Kam Coordinate in Codex?

Run `npx skills add forcedotcom/sf-skills --skill life-sciences-kam-coordinate -a codex`. Or copy the skill folder (skills/life-sciences-kam-coordinate in forcedotcom/sf-skills) into .agents/skills/life-sciences-kam-coordinate in your project. Codex loads it when a task matches its description.

Can I use Life Sciences Kam Coordinate 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 forcedotcom/sf-skills --skill life-sciences-kam-coordinate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/life-sciences-kam-coordinate, .gemini/skills/life-sciences-kam-coordinate, .github/skills/life-sciences-kam-coordinate and .opencode/skills/life-sciences-kam-coordinate in your project.

What does Life Sciences Kam Coordinate need to run?

Going by SKILL.md and its folder, Life Sciences Kam Coordinate needs the command-line tools its instructions call (sf and git).

Does Life Sciences Kam Coordinate access the network?

SKILL.md names 3 domains. In commands or code: login.salesforce.com, test.salesforce.com and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Life Sciences Kam Coordinate 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 Life Sciences Kam Coordinate use?

Life Sciences Kam Coordinate is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Life Sciences Kam Coordinate use?

About 5.3k tokens (SKILL.md is roughly 21k 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 35k tokens, read only when the agent opens those files.

What are the alternatives to Life Sciences Kam Coordinate?

Skills that share tags, products or a category with Life Sciences Kam Coordinate: Tourmind Booking (tourmind-com/Tourmind-Booking-Skills, 1.7k stars), Cs Health Scorecard (mohitagw15856/pm-claude-skills, 1.4k stars), Youtube Search (ZeroPointRepo/youtube-skills, 1k stars) and Yt (ZeroPointRepo/youtube-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Life Sciences Kam Coordinate?

forcedotcom (a GitHub organization) maintains it in forcedotcom/sf-skills, which has 1,065 GitHub stars. The repository holds 251 skills in this directory. The repository was last updated on October 7, 2026.

Source: forcedotcom/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.