intern-program – Marketing & SEO skill for AI agents
Internship register: intern and department, supervisor and mentor, institution, start and end dates, stipend, learning goals, mid-term and final scores, conversion flags. Use for intern tracking.
Install the intern-program skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/intern-program-bbf8c.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /intern-program – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/intern-program-bbf8c.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $intern-program – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/intern-program-bbf8c.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /intern-program – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/intern-program-bbf8c.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /intern-program – then describe the task you want done.
SKILL.md content
Intern Program
What it is: Interns from start to certificate or full-time offer.
Overview
Works out the smallest useful Intern Program setup for the business in front of it, then
builds it only when asked. The default output is a short recommendation, not a
spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on
request, from one field list so they cannot drift apart.
Layer: Layer 3: Onboard. Fits: Growth stage. Table code: n/a.
When to Use This Skill
- intern tracker
- internship management
- intern program database
- intern onboarding and conversion
Also use it when the user says "interns from start to certificate or full-time offer", or describes the same process happening in a
spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces
empty templates only - it never holds or processes real employee or customer data.
How It Works
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Step 1 - Identify intent
Read the request and pick the intent before asking anything.
- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
> Q: How many interns do you take at a time?
Step 2 - Ask only what is missing
Skip anything the user already answered, in any earlier message. Ask the rest one at a
time, and stop as soon as the remaining answers would not change the output.
- Volume - How many interns? / Any time of year? / Paid or unpaid?
- Programme - Duration? / Mentor assigned? / Certificate needed?
- Conversion - Any full-time offers? / Criteria? / Who decides?
- Current process - How is it tracked now? / Spreadsheet or nothing? / What gets missed?
- Outcome - What do you need? / Records, progress tracking or conversion?
Never invent an answer. If the user does not know, record it as unknown and carry on.
Step 3 - Hold the internal context
Hold the answers in this shape. It stays internal - it is not shown to the user unless
they ask, and it never carries a value the user did not give.
module: intern-program
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Volume": null
"Programme": null
"Conversion": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth askingStep 4 - Recommend the smallest workflow
If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: Treat the intern as a light employee record plus a progress log, and only build conversion tracking if interns actually convert.
Why this one: Most intern programmes need three things: dates, a supervisor, and a mid and final score. Everything else is optional.
Workflow: Offer → Intern record → Mid review → Final review → Certificate or offer
Step 5 - Build only on request
Once the user asks for it, derive the fields from the confirmed context and emit the
requested artifacts. For machine-readable text, keep prose outside the data; for files,
provide a usable link. Report material validation failures or limitations separately.
**A selected Notion output is rendered by notion-manual-import, so route the
Notion step there.** When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
tool access and the target before writing. A user saying "connected" is not tool evidence.
Never ask for a Notion password or token.
For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the
text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user
requests a workbook.
A CSV carries no types, so after it, name the columns
that need a number, date or currency format applied.
Intern Name,Department,Supervisor,Mentor,School or University,Program Type,Start Date,End Date,Duration (Days),Stipend,Currency,Learning Goals,Weekly Log Link,Mid-term Score,Final Score,Certificate Issued,Offer for Full-Time,Converted to Employee,Status,Intern ID
Karan Malhotra,Delivery,Sneha Iyer,Rohit Verma,Anna University,Internship,2026-06-01,2026-11-30,183,25000.00,INR,Ship one feature end to end,https://example.com/log,4,,FALSE,FALSE,,In Progress,CREATE TABLE intern_program (
intern_name VARCHAR(255),
department VARCHAR(255),
supervisor VARCHAR(255),
mentor VARCHAR(255),
school_or_university VARCHAR(255),
program_type VARCHAR(100) NOT NULL,
start_date DATE NOT NULL,
end_date DATE NOT NULL,
duration_days INTEGER NOT NULL CHECK (duration_days >= 0),
stipend NUMERIC(14,2) NOT NULL CHECK (stipend >= 0),
currency VARCHAR(255),
learning_goals VARCHAR(255),
weekly_log_link TEXT,
mid_term_score NUMERIC,
final_score NUMERIC,
certificate_issued BOOLEAN NOT NULL,
offer_for_full_time BOOLEAN NOT NULL,
converted_to_employee VARCHAR(255),
status VARCHAR(100) NOT NULL,
intern_id SERIAL PRIMARY KEY,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_intern_program_status ON intern_program (status);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Intern Program",
"type": "object",
"additionalProperties": false,
"properties": {
"Intern Name": { "type": "string" },
"Department": { "type": "string" },
"Supervisor": { "type": "string" },
"Mentor": { "type": "string" },
"School or University": { "type": "string" },
"Program Type": { "type": "string" },
"Start Date": { "type": "string", "format": "date" },
"End Date": { "type": "string", "format": "date" },
"Duration (Days)": { "type": "integer", "minimum": 0 },
"Stipend": { "type": "number", "minimum": 0 },
"Currency": { "type": "string" },
"Learning Goals": { "type": "string" },
"Weekly Log Link": { "type": "string", "format": "uri" },
"Mid-term Score": { "type": "number" },
"Final Score": { "type": "number" },
"Certificate Issued": { "type": "boolean" },
"Offer for Full-Time": { "type": "boolean" },
"Converted to Employee": { "type": "string" },
"Status": { "type": "string" },
"Intern ID": { "type": "integer" }
},
"required": [
"Certificate Issued",
"Offer for Full-Time",
"Program Type",
"Start Date",
"End Date",
"Duration (Days)",
"Stipend",
"Status"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Intern Name | Title | Use as the database title |
| Department | Text | Leave as Text |
| Supervisor | Text | Leave as Text |
| Mentor | Text | Leave as Text |
| School or University | Text | Leave as Text |
| Program Type | Select (add options after import) | Convert to Select, add options: "Internship", "Apprenticeship", "Graduate Program", "Returnship" |
| Start Date | Date | Convert to Date |
| End Date | Date | Convert to Date |
| Duration (Days) | Number | Convert to Number |
| Stipend | Number (format: currency) | Convert to Number, set format to Currency |
| Currency | Text | Leave as Text |
| Learning Goals | Text | Leave as Text |
| Weekly Log Link | URL | Convert to URL |
| Mid-term Score | Number | Convert to Number |
| Final Score | Number | Convert to Number |
| Certificate Issued | Checkbox | Convert to Checkbox |
| Offer for Full-Time | Checkbox | Convert to Checkbox |
| Converted to Employee | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Onboarding", "In Progress", "Completed", "Terminated" |
| Intern ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |The rows above are documentation examples only. Emit empty templates unl
… (full content is in the download package)
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