Agent skill

Education Cloud Student Recruitment Agent Configure

by forcedotcom in forcedotcom/sf-skills

A skill your agent uses to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures…

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Education Cloud Student Recruitment Agent Configure

skills CLI
$ npx skills add forcedotcom/sf-skills --skill education-cloud-student-recruitment-agent-configure -a claude-code

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

GitHub CLI
$ gh skill install forcedotcom/sf-skills education-cloud-student-recruitment-agent-configure --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/education-cloud-student-recruitment-agent-configure .claude/skills/education-cloud-student-recruitment-agent-configure && 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
education-cloud-student-recruitment-agent-configure
GitHub stars
1.1k
Token cost
~5.4k tokens
SKILL.md length
2,654 words
Files
10 (incl. references)
Skills in repo
252
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures…

  • Works in 7 steps: Resolve the org's current API version → Verify prerequisites & gates → Enable the platform toggles → …
  • Captures inquiries
  • SKILL.md covers Scope, Required Inputs, How this skill runs — read first and Talking to the user —…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Education Cloud Student Recruitment Agent Configure is an agent skill from forcedotcom/sf-skills. Use this skill to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures inquiries, registers campus tours, and files applications for prospective students. TRIGGER when the user wants to: create or configure an admissions, recruitment, or enrollment agent, set up the Student Recruitment Agent, deploy SRA to an Experience Cloud site, clone the SRA flows or permission sets, add the SRA subagents…

Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `references/agent-and-subagents.md`, `references/customer-narration.md` and `references/execution-model.md`).

It sits in Business, Finance & HR, covering Recruiting and HR, Help center and FAQ content and Subagents. 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

  • Captures inquiries
  • Registers campus tours
  • Files applications for prospective students
  • The user wants to: create

Example prompts

  • “/education-cloud-student-recruitment-agent-configure”

Workflow steps

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

  1. Resolve the org's current API version
  2. Verify prerequisites & gates
  3. Enable the platform toggles
  4. Permissions & sharing foundation
  5. Grounding (two independent mechanisms)
  6. Agent, subagents & flows
  7. Deploy to channels & route

What it can do on your machine

Read from SKILL.md and the folder at commit 4bbae5c. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Education Cloud Student Recruitment Agent Configure loads about 5.4k tokens when it runs, and up to ~56k if it reads all its reference files. Until then it costs about 267 tokens; SKILL.md has 2,654 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~267
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~56k

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 4bbae5c, republished under its Apache-2.0 licence (© forcedotcom). 2,654 words, ~5,421 tokens.

Download SKILL.mdSave it as .claude/skills/education-cloud-student-recruitment-agent-configure/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
education-cloud-student-recruitment-agent-configure
description
Use this skill to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures inquiries, registers campus tours, and files applications for prospective students. TRIGGER when the user wants to: create or configure an admissions, recruitment, or enrollment agent, set up the Student Recruitment Agent, deploy SRA to an Experience Cloud site, clone the SRA flows or permission sets, add the SRA subagents (Admissions and Enrollments FAQ; Admissions Application; Campus Tours, Visits, and Events Registration; Request for Information), wire Learning Program grounding, or build the escalation subagent. Guides platform enablement, permissions, grounding, agent creation, and channel deployment — API-first with UI fallback. DO NOT TRIGGER for the Transfer Credit Agent, generic Agentforce authoring (use agentforce-generate), or base Education Cloud domain enablement (use education-cloud-domain-configure).
metadata.version
1.0
metadata.minApiVersion
67.0
metadata.domains
Education
metadata.relatedSkills
agentforce-generate, education-cloud-domain-configure, platform-custom-field-generate, platform-metadata-deploy, platform-sharing-owd-configure…

Configuring the Education Cloud Student Recruitment Agent

Scope

  • In scope: The full SRA setup sequence — the three platform toggles (Einstein, SRA, Omni-Channel; Agentforce provisioning is a verify-only Step-1 gate, not a toggle the skill flips), the EducationCloudAiAgentAccess permission set + OWD/sharing foundation, Learning Program grounding (Data Cloud data stream + hybrid search index + prompt template) and Knowledge/data-library grounding, creating the Service (unauth) and Employee (auth) agents, adding the 4 packaged SRA subagents, building the customer escalation subagent, cloning and configuring the 6 admissions flows (Service path), and deploying to Experience Cloud channels with user verification.
  • Out of scope: The Transfer Credit Agent (separate agent, own perms/help — never include its steps); generic Agentforce agent authoring from scratch (see Cross-Skill Integration below); Data Cloud connector plumbing beyond the SRA grounding path; deciding the substance of Knowledge article content — Claude may draft an article for the customer to review, but the customer owns what it says.
  • The EDU foundation is a checked dependency, not an assumption: SRA depends on base Education Cloud enablement, Person Accounts, R&A domain objects, and Data Cloud. This skill doesn't re-implement education-cloud-domain-configure, but verifies each piece concretely (step 2a) and only routes there to fill a gap it detects.

Required Inputs

Gather or infer before starting:

  • Target org: An Agentforce- and Education-Cloud-provisioned org with admin access — see Workflow step 1 for the gate.
  • Agent path(s): Unauthenticated (Service agent — the ASA, runs as the Einstein Agent User service account; no guest user), authenticated (Employee agent), or both.
  • Which subagents/topics the customer wants live (default: all 4 packaged subagents + a custom escalation subagent).
  • Whether to add Create Inquiry to the Escalation subagent (case-adjacent record creation on live-agent handoff) — ask if unspecified; the two outcomes are handoff-only, or handoff-plus-Create-Inquiry.

Defaults unless specified:

  • Configure both agent paths if the org has both Service and Employee Agentforce licenses; otherwise the unauth/Service path only.
  • Confirmation style: conversational, one-step-at-a-time — never autonomous. See Talking to the user below.

How this skill runs — read first

Step 0 resolves the org's current API version; Step 1 is a hard prerequisites gate — clear both before touching anything else. The rest is a linear, sequential set of steps (0–13); confirm before every irreversible or org-shaping action, and end every step with its verify call. (See Talking to the user below.)

Every org-changing step walks a three-tier ladder, then verifies — tier = what runtime you have: T1 headless MCP (dispatch/dispatch_readonly, no shell) · T2 sf CLI (needs a shell) · T3 Setup UI. Try T1; drop to T2 on a route/allowlist failure; T3 if no shell. Steps carry a best-tier tag; the verify-only preflight (step 1) uses STOP/REDIRECT labels instead. references/execution-model.md has the ladder detail — allowlist, route signals, query-routing, API-version policy; read it whenever a tier or route is unclear.

Several steps land on T3 with no tier-1/tier-2 write path at all (hand the user the Setup path, then verify) — each is tagged inline where it occurs (e.g. [T3 · ...] on steps 8, 9a, 12); every other action has a tier-1 path.


Talking to the user — customer-facing narration (not optional)

Mandatory, every run: read references/customer-narration.md in full before your first message to the customer — this is not background reading, it's the exact wording rules you follow at every step boundary for the entire session. In short: the step numbers, tier tags (T1/T2/T3), and words like "gate," "the spine," or "per the doc" are internal authoring scaffolding — never say them to the customer, who has no idea this skill file exists. Lead every step boundary with the plain-language outcome, not the internal label; give a manual (UI) hand-off its complete concrete detail in the same message that asks the customer to go do it; and before every single create/update/delete, no matter how small, explain what it does and why in plain language, then wait for an explicit go-ahead — never on silence, never batched. references/customer-narration.md has the exact phrasing table and the do/don't examples — read it now.


Workflow

All steps are sequential. Each step is one action + its best tier + a pointer to the reference that carries the exact calls, API names, and traps — read that reference before executing the step. Confirm before irreversible actions; end every step with its verify call.

0 — Resolve the org's current API version

Do this first — before Step 1, before any other call in the run. Every vXX used in every step and reference file below comes from this resolution; never substitute a remembered or hardcoded version. CRITICAL: If this session has more than one Salesforce connection available, pin whichever one you use for this call as the org connection for the rest of the run — including after a context compaction. A compacted summary can lose track of which connection was active; don't let that cause a switch to a different one partway through.

  1. Resolve the current API version [T1] — dispatch_readonly({"url": "/services/data/", "method": "GET"}) on the org connection you're pinning for this run → take the highest numeric version from the returned array and reuse that literal, on that same connection, for every vXX call for the rest of this run. A stale/hardcoded version can make a real entity or feature absent from a schema-catalog read and misread as "the org doesn't have this." Full rationale and the per-surface version-floor exceptions: references/execution-model.md.
1 — Verify prerequisites & gates

Step 1 is a hard gate — clear it before enabling or building anything. If a STOP check (external grant the skill can't flip) or a REDIRECT check (foundation the skill doesn't own) fails, do not start the toggles or the foundation build — stop and request the grant, or redirect to education-cloud-domain-configure, then re-verify. Also confirm now, before saying anything to the customer: references/customer-narration.md has been read in full this run (see Talking to the user above) — this gate isn't cleared until that's true too. Don't build permissions/OWD/grounding for an agent that can't exist. Full preflight-gate table and every verify call: references/prerequisites.md.

  1. Confirm edition & the Einstein-for-EDU license. Both are STOP checks — halt if either is missing. (Agentforce provisioning is verified in item 2; Data Cloud in item 2a.)
  2. Verify the three SRA gates — Agentforce provisioning, Education Cloud enabled, and the runtime orgHasStudentRecruitmentAgentBetaAccess check (a three-part AND — its exact composition and per-part verify live in references/prerequisites.md). Stop if provisioning, the license, or the Gater is missing.
    • 2a — Verify the EDU foundation (don't assume education-cloud-domain-configure ran): EDU enablement, Person Accounts, R&A domain schema, and Data Cloud. Route the first three to education-cloud-domain-configure, then re-verify; Data Cloud is a Home-Org grant (stop, don't redirect).
2 — Enable the platform toggles
  1. Enable the three platform toggles [T1] — each has its own write path: Einstein Setup (EinsteinGPTPlatformEnabled), RecruitmentAgentEnabled, and Omni-Channel (OmniChannelSettings — required for channel deploy). → references/platform-enablement.md
3 — Permissions & sharing foundation

→ references/permissions.md

  1. Clone + configure the persona permission sets, and assign the builder persona [T1] — the OOTB EducationCloudAiAgentAccess is an empty shell, so clone it and customize its object/field matrix (assign the clone, never per-topic). Assign the Admin/builder persona to the running user before cloning — it grants the EDU field visibility the matrix build needs. Auth/Employee path only: also clone + configure EducationCloudExprcCloudAccess (Run Flows + object settings) for the community persona. The Einstein-user assignment is agent-dependent — Claude creates that user itself and grants it at step 9. The community-user assignment (and Enable Agent Access) is likewise agent-dependent → step 10.
  2. Set OWD to Public Read Only on the 6 admissions objects [T1 · one UI exception].
  3. Do the topic-specific prep — 5 blocks [T1 · two UI exceptions]: Campaign "Recruitment Event" picklist value + "Campus Tours" sharing rule, the Individual Application record type + its ApplicationRecordTypeConfig, and record-type→profile visibility.
4 — Grounding (two independent mechanisms)

→ references/grounding.md

  1. Set up Knowledge grounding [T1 · article authoring is human] — check for existing Knowledge articles first and always ask the customer before drafting anything (never auto-create — see references/grounding.md 7a), then create the Knowledge-sourced data library. Attaching it to the agent happens at step 9 (a top-level AFScript field, wired into the same draft-only pass — no need to wait for the agent to be committed); the create itself needs no agent. Once wired, newly published articles are picked up automatically — no re-wire per article.
  2. Wire Data Cloud grounding — 3 grounded objects, 2 search-index/retriever builds (Learning Program; Academic Term shares the PTAT build) [T1 data spine · T3 index/retriever/prompt build].
5 — Agent, subagents & flows
  1. Create the agent(s) — headless, draft only [T1] — fetch the real base template (Service: "Agentforce Service Agent", Employee: "Agentforce Employee Agent"), and in one combined pass: resolve NEW_AGENT_USER by creating the ASA's Einstein Agent User + granting it full perm/license parity (ASA only), strip the 7 default topics incl. the default Escalation topic (ASA only), author a handoff-only Escalation subagent (both paths — no Create Inquiry yet), and wire the step-7 knowledge library (both paths). Stop at compile — do not publish; UI fallback available at T3. → references/agent-and-subagents.md
    • If step 8's Data Cloud data spine was deferred while streams were still provisioning, check back on it now. If it's still provisioning, check again at the end of each subsequent step (9a, 10, 11, 12) — it must be finished, including the T3 index/retriever/prompt-template build, before step 13's final verify. See references/grounding.md Mechanism 2 step 3.
    • 9a — The customer's one Builder session [T3 · Asset Library + Builder UI] — open the draft agent and: add the 4 packaged SRA subagents (Admissions and Enrollments FAQ; Admissions Application; Campus Tours, Visits, and Events Registration; Request for Information) from the Asset Library so the correct action source/target is set (not hand-authorable; watch for TransferCreditEquivalency in that list — Transfer Credit Agent's, not SRA's); delete the Create Admissions Application action (non-functional — confirm with the customer first); add Create Inquiry to the Escalation subagent via Builder's action picker per the Required Inputs choice, or skip it for handoff-only (left out at step 9 — its input mapping isn't safe to hand-author blind). Then Save, then Commit Version — once; nothing from step 9/9a is queryable before that. → references/agent-and-subagents.md
  2. AEA/Employee-only: enable community access [T1 write] — skip entirely on an ASA/Service-only build; the ASA path has nothing left here (topic cleanup, escalation authoring, knowledge, running-user grants all happen in step 9). Set Enable Agent Access → the AEA agent on the SRA_Exprc_Cloud_Access clone (built at step 4), then query existing community users and ask before assigning the clone + sibling PSs to them. → references/agent-and-subagents.md & references/permissions.md
  3. Clone and configure the 6 admissions flows — unauthenticated/Service path only [T1]. Two waves: clone + activate the wave-1 flows first — the 2 reusable subflows plus the 1 standalone flow (GetPlnCampaigns, which has no dependencies) — then clone the 3 consumers and re-point them at the active subflow clones. Skip entirely if building only the Employee agent. → references/flows.md
Show full SKILL.md (902 more words)Show less
6 — Deploy to channels & route

→ references/routing.md

  1. Deploy each agent to its channel + stand up Omni-Channel routing [T1 routing objects · T3 messaging deployment & site] — read what exists first; front-load Experience Cloud site creation for any agent that doesn't already have one (the slowest part of this stack), then build the routing config → queue → inbound flow → channel stack while it provisions, then come back to the site to add the component and publish. One agent per channel = separate sites. Auth/Employee path: also enable user verification inline (two checkboxes, channel + site component; the unauthenticated/Service path gets neither).
  2. Final structural verification [verify] — run the queryable roll-up (agent active, all subagents present, flows active, channel + site up), then summarize which tier each step landed on and list anything left manual. Finish here — do not wait on any manual action. The conversational smoke test (messaging the agent so subagents respond, grounding answers, actions produce records) needs a live channel session that can't be driven headlessly; hand the user that short checklist to run themselves and don't poll for its results.

Rules / Constraints

ConstraintRationale
Never promise a rollback you haven't confirmedReversibility differs per toggle — see references/platform-enablement.md; warn before any flip
Knowledge articles must be Published and contain no non-public dataThe FAQ action is public; draft articles make the agent answer "no information"
Always confirm before any create/update/delete; run every step and its verify yourself — never delegate any part of this workflow to a separate helper processSee Talking to the user — the confirmation model depends on one continuous conversation; a delegated helper can prompt the customer on its own. polling isn't delegation
Do not deploy or push metadata packagesThis skill configures a live org; package deployment belongs to a separate lifecycle skill

Gotchas

IssueResolution
Org can't run SRA (agent endpoints 501 / BotDefinition not queryable, or RecruitmentAgentEnabled toggle absent/not-editable)Preflight STOP check — catch at Step 1, not the Step-9 wall. Traces to one of three missing grants: Agentforce provisioning, the Einstein-for-EDU license, or the StudentRecruitmentAgent256 Gater. Detect which and request it; don't retry lower tiers. See references/prerequisites.md
Messaging channel created headlessly but the agent isn't reachable at runtimeThe channel record is tier 1, but the ESD cascade behind it is UI-only — hand the customer the UI deployment path in references/routing.md
Cloned consumer flows fail at runtimeWave-2 consumers need subflow replacement + DefaultUserOwnerId, not just a clone — see references/flows.md
Subagent action target compiles clean but won't publishcompile is syntax-only and echoes back any target; only validate/publish check existence. Never hand-author targets — add subagents from the Asset Library so the correct source/target is injected. See references/agent-and-subagents.md
Only Create Admissions Application fails validateThe lone api:// action; broken by a platform issue everywhere, not fixable from this org. Delete it at step 9a rather than working around it — every other action still publishes. See references/agent-and-subagents.md
Agent answers "no information"Two causes: (1) Knowledge articles still Draft — publish them (tier-1 API-able), or (2) the data library isn't attached — check the AFScript's knowledge.rag_feature_config_id is ARFPC_<libraryId>, not empty. Check both
EDU objects (e.g. Academic Interest) show 0 fields in Object Manager / the step-4 field-matrix build finds nothingOrdering issue — the admin lacks the builder EDU-access sets. Assign Education Cloud Full Access + Einstein for Education Cloud Access first, before the field-matrix clone — fields are license-gated until then. See references/permissions.md
OWD or ApplicationRecordTypeConfig verify silently returns 0 rowsAPI-name traps: OWD's 6th object is ProgramTermApplnTimeline (truncated, not ...ApplicationTimeline); perm-set uses PreliminaryApplicationRef. RecordTypeName takes the record type's LABEL, not DeveloperName/Id. See references/permissions.md
/headless/metadata returns 400 UNSUPPORTED_OPERATION or 500 METADATA_CRUD_ERRORDrop to tier 2/3, don't retry — but first rule out a wrong-surface or missing-perm error, not an allowlist gap. See references/execution-model.md; the setup/org/preferences ROUTE_NOT_FOUND case: references/platform-enablement.md
/query returns 404 and looks like a platform outageCheck the call shape first — often self-inflicted: SOQL appended as ?q=... instead of queryParams: {"q": "<SOQL>"}. A real outage is transient and all-versions-at-once. See references/execution-model.md
An earlier step genuinely needed sf/UI, and later steps keep using it too, out of habitThe tier ladder resets every step — re-attempt T1 first on each new action regardless of where the last step landed. See references/execution-model.md

Output Expectations

This skill configures a live org; no repository files. Expected outputs:

  • Confirmation messages after each step (what was done, and at which tier — headless / sf CLI / manual UI).
  • A verify query result after every step showing each toggle, perm set, flow, agent, subagent, and channel is in the expected state.
  • A final summary listing which tier each step landed on, plus any items left pending on the T3-only steps.

Cross-Skill Integration

NeedDelegate to
A verified EDU-foundation gap in EDU enablement, Person Accounts, or the R&A domain schema (step 2a) — not blind pre-delegation. Missing Data Cloud is not routed here — that's a Home-Org grant, outside this skill's scopeeducation-cloud-domain-configure
Generic Agentforce agent authoring or metadata generationagentforce-generate

Reference File Index

FileWhen to read
references/execution-model.mdAny step — tier-ladder detail: allowlist, route signals, query-routing, API-version policy
references/prerequisites.mdStep 1 — edition/license check, the three SRA gates, EDU foundation verify
references/platform-enablement.mdStep 3 — per-toggle write paths
references/permissions.mdSteps 4–6, 9 & 10 — persona perm model, OWD list, topic-specific prep, agent-dependent grants
references/grounding.mdSteps 7–8 — Knowledge article/library flow, Data Cloud grounding builds
references/agent-and-subagents.mdSteps 9, 9a & 10 — agent creation, subagent + escalation wiring, the Builder session, AEA community grants
references/flows.mdStep 11 — flow inventory, 2-wave clone ordering
references/routing.mdSteps 12–13 — channel deploy, Omni-Channel routing, final structural verify

© 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 9 other files (references) in skills/education-cloud-student-recruitment-agent-configure of forcedotcom/sf-skills.

  • SKILL.md
  • references/agent-and-subagents.md
  • references/customer-narration.md
  • references/execution-model.md
  • references/flows.md
  • references/grounding.md
  • references/permissions.md
  • references/platform-enablement.md
  • references/prerequisites.md
  • references/routing.md

Open the folder on GitHubat commit 4bbae5c

Compare with similar skills

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Perf Architectozontech/seq-db133—~581Automated safety check: PassApache-2.0

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Questions about Education Cloud Student Recruitment Agent Configure

What does Education Cloud Student Recruitment Agent Configure do?

A skill your agent uses to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures…. Education Cloud Student Recruitment Agent Configure is an agent skill from forcedotcom/sf-skills. Use this skill to set up and configure the Education Cloud Student Recruitment Agent (SRA) — the packaged Agentforce agent (namespace sturecruitment) that answers admissions FAQs, captures inquiries, registers campus tours, and files applications for prospective students.

When should I use Education Cloud Student Recruitment Agent Configure?

Education Cloud Student Recruitment Agent Configure fits situations like: captures inquiries; registers campus tours; files applications for prospective students; the user wants to: create.

How do I install Education Cloud Student Recruitment Agent Configure in Claude Code?

Run `npx skills add forcedotcom/sf-skills --skill education-cloud-student-recruitment-agent-configure -a claude-code`. Or copy the skill folder (skills/education-cloud-student-recruitment-agent-configure in forcedotcom/sf-skills) into .claude/skills/education-cloud-student-recruitment-agent-configure in your project. Claude Code loads it when a task matches its description.

How do I install Education Cloud Student Recruitment Agent Configure in Codex?

Run `npx skills add forcedotcom/sf-skills --skill education-cloud-student-recruitment-agent-configure -a codex`. Or copy the skill folder (skills/education-cloud-student-recruitment-agent-configure in forcedotcom/sf-skills) into .agents/skills/education-cloud-student-recruitment-agent-configure in your project. Codex loads it when a task matches its description.

Can I use Education Cloud Student Recruitment Agent Configure 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 education-cloud-student-recruitment-agent-configure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/education-cloud-student-recruitment-agent-configure, .gemini/skills/education-cloud-student-recruitment-agent-configure, .github/skills/education-cloud-student-recruitment-agent-configure and .opencode/skills/education-cloud-student-recruitment-agent-configure in your project.

What does Education Cloud Student Recruitment Agent Configure need to run?

SKILL.md names no scripts, command-line tools or credentials: Education Cloud Student Recruitment Agent Configure is instructions for the agent only.

Does Education Cloud Student Recruitment Agent Configure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Education Cloud Student Recruitment Agent Configure 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 Education Cloud Student Recruitment Agent Configure use?

Education Cloud Student Recruitment Agent Configure 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 Education Cloud Student Recruitment Agent Configure use?

About 5.4k tokens (SKILL.md is roughly 22k 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 50k tokens, read only when the agent opens those files.

What are the alternatives to Education Cloud Student Recruitment Agent Configure?

Skills that share tags, products or a category with Education Cloud Student Recruitment Agent Configure: Cc Sdd New Agent (gotalab/cc-sdd, 3.7k stars), Invest (longsizhuo/openInvest, 108 stars), Outreach (andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-, 502 stars) and Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Education Cloud Student Recruitment Agent Configure?

forcedotcom (a GitHub organization) maintains it in forcedotcom/sf-skills, which has 1,067 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 9, 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.