team-templates

Team templates library

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "team-templates" with this command: npx skills add hubert-dudek/medium/hubert-dudek-medium-team-templates

Team templates library

Use this skill to generate consistent, copy/paste-ready templates for common data/analytics team workflows.

Template catalog

Pick the best match based on the user request:

  • Project kickoff / 1‑pager → assets/kickoff.md

  • Weekly status update (Slack + longer-form) → assets/weekly-status-update.md

  • Incident postmortem / RCA (Sev/Outage) → assets/incident-postmortem.md

  • Data contract (dataset/table contract in YAML) → assets/data-contract.yml

  • Unity Catalog access request (permissions + optional GRANT SQL) → assets/unity-catalog-access-request.md

How to use this skill

  1. Identify the template type

If the user explicitly names one (kickoff, postmortem, weekly update, data contract, access request), use it.

If not explicit, infer from keywords:

  • “RCA”, “postmortem”, “outage”, “incident”, “Sev” → incident postmortem

  • “1‑pager”, “kickoff”, “proposal”, “PRD”, “new project” → kickoff doc

  • “data contract”, “schema contract”, “dataset contract” → data contract YAML

  • “grant”, “permission”, “Unity Catalog”, “access to schema/table” → UC access request

  • “weekly update”, “status”, “what did we do this week” → weekly status update

  1. Ask for only missing inputs (max 3 questions)

If required details are missing, ask up to three targeted questions. Prefer defaults over interrogations.

Common inputs:

  • Names: project/dataset/table, team, owner

  • Dates: start date, incident date/time range

  • Audience: internal team vs stakeholders vs exec summary

  • Access scope: catalog.schema.table, permission level (SELECT/MODIFY/OWN), duration

If the user provided none, assume:

  • Audience: “internal + stakeholders”

  • Timezone: user local (unknown) → label as “local time”

  • Dates: today’s date is fine only if user asked “today”; otherwise leave placeholders.

  1. Generate a filled template (deliverable-first)

Output the chosen template in Markdown (or YAML for the data contract), with placeholders replaced when you have information.

Rules:

  • Keep headings intact so the doc is scannable.

  • Keep checklists as - [ ] so teams can track work.

  • Use neutral language. Avoid blaming individuals.

  1. Add a short “Next steps” section

After the template, add 3–8 concrete next steps tailored to the template type.

Examples

Example A — kickoff

User: “Create a kickoff doc for a new customer churn dashboard in Databricks.”

Assistant output: A filled version of assets/kickoff.md including goals, stakeholders, datasets, milestones, and a definition of done.

Example B — postmortem

User: “We had a 2‑hour outage because the DLT pipeline failed. Draft the postmortem.”

Assistant output: A filled version of assets/incident-postmortem.md with impact, timeline, root cause hypotheses, and action items.

Edge cases

  • User wants Confluence/Google Doc formatting: Output Markdown, but keep headings and checklists; it will paste cleanly.

  • User wants multiple templates: Output one at a time; ask which is highest priority.

  • User provides sensitive data: Keep it high-level; replace secrets with [REDACTED] .

  • Unknown incident details: Keep placeholders and add a section “Information needed” listing what’s missing.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

sql-performance-review

No summary provided by upstream source.

Repository SourceNeeds Review
General

lakehouse-pipeline-design

No summary provided by upstream source.

Repository SourceNeeds Review
General

image-gen

Generate AI images from text prompts. Triggers on: "生成图片", "画一张", "AI图", "generate image", "配图", "create picture", "draw", "visualize", "generate an image".

Archived SourceRecently Updated