slate
Skill14 starsChanged 5 months agoMITView on GitHub
Technolutions Slate CRM — lets an agent read and write prospect, applicant, and admitted-student records and trigger enrollment communication workflows.
- Reads credentials
In this repository9 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
Never write directly to the source-of-record application fields without institutional approval.
- Very specific: line 34
Test environment is a separate Slate instance.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Slate
What it is
Slate by Technolutions is the dominant CRM and admissions platform in higher education. It manages the full enrollment funnel from first inquiry through enrollment confirmation: prospect capture, application review, communications, event registrations, and yield tracking. It is used by enrollment, application-reader, prospective-student, and yield agents.
When to use this skill
- Capturing a new prospect's contact info and program interest from a chatbot conversation
- Retrieving a complete application record including essays, test scores, and recommendations
- Logging yield outreach interactions and updating a student's decision stage
- Querying segment lists for targeted communication campaigns
- Pulling cohort statistics for percentile benchmarking during application review
Credentials
This skill authenticates using env vars declared in the frontmatter metadata field. Set these in ~/.openclaw/.env (template: .env.example):
SLATE_BASE_URL- institution's Slate instance URL (e.g.https://apply.university.edu)SLATE_API_KEY- Slate REST API key issued under Configuration > API
Key operations
POST /manage/query/run— execute a saved Slate query to retrieve prospect or applicant record setsPOST /manage/service/— write interaction records, update field values, and advance funnel stageGET /manage/lookup/query— resolve a person record by email or student IDPOST /manage/export/— bulk export applicant data for cohort benchmarking- Webhook inbound: Slate can push application status change events to the agent endpoint
Notes
- Slate's API is query-based rather than RESTful resource-based; most reads use the Query endpoint with a saved query GUID.
- Never write directly to the source-of-record application fields without institutional approval; use interaction/note records for agent-generated data.
- Test environment is a separate Slate instance; configure
SLATE_BASE_URLaccordingly for sandbox testing. - FERPA applies to all applicant data; limit field retrieval to only the fields the agent's task requires.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

