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Support Operations Studiov1.0.0

Build a shift-ready support desk from reviewed tickets and policies. Calculate business-hour first-response SLAs, route priorities, group confirmed issues, inspect policy-linked replies and export escalation packets plus knowledge drafts from resolved cases.

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Made with this SkillA prioritized support queue and response handoff

Twelve fictional tickets · actual SLA and replies · three knowledge drafts

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What you get

A prioritized support queue and response handoff

What you can make

  • Route reviewed tickets by impact and calculate business-hour first-response SLAs.
  • Inspect confirmed issue groups and policy-linked reply drafts.
  • Export escalation packets and knowledge drafts from resolved cases.
Explore delivered files6 groups
  • index.html + queue.json + queue.csv
  • responses/<ticket>.txt + .md
  • escalations/<ticket>.md
  • knowledge/<ticket>.md
  • handoff.md + quality.json
  • delivery-manifest.json

Good fit

Support leads preparing a shift handoff from reviewed tickets and policies.

FounderConsultantDeveloper

Know the limits

Reply and knowledge outputs remain drafts; the package does not contact customers.

About this skill

Capabilities: reviewed impact-based P1–P4 routing, business-hour SLA with IANA timezones, weekends and holidays, exact deadline outcomes, confirmed issue groups, policy-linked response drafts, escalation packets, resolved-case knowledge drafts and queue filters. Existing responses retain their historical SLA result.

Deliverables: interactive index.html, queue.json and .csv, per-ticket text and Markdown replies, escalation Markdown, knowledge drafts, shift handoff, quality notes and a SHA-256 manifest. The fictional Beacon example contains twelve tickets, two reviewed issue groups and three knowledge drafts. Original input bytes are not copied to the delivery.

Read the full workflow

First run: Python 3.10+ standard library with installed IANA timezone data. Run scripts/build-desk.py --input examples/desk.json --demo --output ./support-desk. Search and filter the queue, inspect each customer draft and its source policy, then download the handoff. Omit --demo for real reviewed tickets.

Validation: actual generation, independent weekend/holiday and daylight-saving calculations, exact due replies, preserved historical breaches, priority downgrade rejection, invalid policy/issue references, best-effort masking, actual reply downloads, keyboard views and mobile tables. Classification and semantic policy support are reviewed by your agent; references alone do not prove a claim.

Version 1.0.0: original Skillrove tools and examples under MIT, with adapted Apache-2.0 support methodology and pinned notices. First-response timing only; no resolution SLA or contractual certification. Inspect every export for privacy. No email, refund, ticket mutation or knowledge publication is executed. $4.99 one-time; active Premium memberships cover this package.

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Support operations

FROM PACKAGE TO FIRST RESULT

Your first complete support operations desk.

Generate twelve fictional Beacon tickets with reviewed policies, actual business-time calculations, response drafts and three knowledge handoffs. Then use authorized ticket data and current policies for a real shift.

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US$4.99 · MIT licensePython 3.10+ · IANA timezones · offlineNo API key or paid provider
  1. 01

    Choose your agent

    These steps use a project folder. Open the project in your agent and run terminal commands from its root.

    Codex directory guide

    Package folder .agents/skills/support-operations-studio

  2. 02

    Add the package

    Download and unzip the package into the folder above. Keep all its files together, with SKILL.md directly inside that folder.

    Downloads require a verified account and purchase access. Choose a new folder if this Skill is already installed.

  3. 03

    Run the included sample

    Manual sample commands and technical details

    Read SKILL.md, review the generator and check its runtime requirements before running:

    cd .agents/skills/support-operations-studio
python3 scripts/build-desk.py --input examples/desk.json --demo --output ./support-desk
    Your first result

    Filter unanswered overdue tickets and priorities, search issues, inspect the ticket desk and policy-backed draft, then download its actual plain-text reply. Use arrow keys to open Knowledge and review all three drafts. Reconcile due instants and confirmed issue groups; browser filters never remove records from exports.

    Python 3.10+ standard library, offline, with installed IANA timezone data. The helper validates reviewed annotations and policy references; it does not infer incident truth or guarantee redaction. First-response SLA only. Original input is not exported. No message, refund or provider action is executed.

    If support-desk already exists, change the output to ./support-desk-2. Existing files are never overwritten.

    Prefer to ask your agent?

    Use Support Operations Studio at .agents/skills/support-operations-studio. Read SKILL.md and review scripts/build-desk.py. Run examples/desk.json into a new output folder and show me all generated files. Keep fictional sample content clearly labeled.

Ready to use your own facts?

Copy examples/desk.json to a new input file, replace all fictional facts, and generate into a new folder. Review the content before using or publishing it; the generator does not independently verify claims.

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Before you choose this Skill

How do I get Support Operations Studio?

The listed individual package price is USD 4.99. Premium downloads require a confirmed purchase or active membership. Your agent subscription, model access and external provider credits are separate.

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Which agents can use this skill?

This release lists Codex, Claude Code, Cursor as intended installation hosts. Check the package’s dependencies and permissions before running it. These labels do not certify that every workflow has been tested in every agent.

Codex setupClaude Code setupCursor setup
What files can this workflow generate?

The documented 1.0.0 workflow lists: index.html + queue.json + queue.csv; responses/<ticket>.txt + .md; escalations/<ticket>.md; knowledge/<ticket>.md; handoff.md + quality.json; delivery-manifest.json. Some files or exports are optional; follow the package’s setup and inspect the delivered result.

Review all deliverablesInspect the working example
What should I check before using the result?

Python 3.10+ standard library, offline, with installed IANA timezone data. The helper validates reviewed annotations and policy references; it does not infer incident truth or guarantee redaction. First-response SLA only. Original input is not exported. No message, refund or provider action is executed.

Read the installation guideReview third-party notices

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