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threadlight-qualify

Cowork-safe pre-sales qualification and sizing for Threadlight / Azure AI agent pilots. Turns a declared interview (no Azure, Bicep, az, azd, Docker, or customer credentials) into a deterministic sizing package — sizing.md, sizing-manifest.json, discovery.md, and an optional roi.md. Derives monthly volumes, builds MVP and production profiles, and projects both through the shared cost engine with explicit meter coverage and PTU break-even; Citadel hub sizing stays separate from per-application sizing, and every assumption carries a provenance. USE FOR: qualify a pilot, size an agent workload, pre-sales sizing, sizing manifest, cost per transaction, MVP vs production sizing, ROI estimate, Citadel hub sizing, discovery notes, seed SPEC section 12. DO NOT USE FOR: post-deploy cost projection from a live deployment (use threadlight-consumption-iq); production-readiness gating (use threadlight-production-ready); Bicep/infra changes or deployment (use threadlight-deploy).

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aiappsgbb/threadlight-skills
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19 de agosto de 2026 a las 09:25
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SKILL.md
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threadlight-qualify
description
Cowork-safe pre-sales qualification and sizing for Threadlight / Azure AI agent pilots. Turns a declared interview (no Azure, Bicep, az, azd, Docker, or customer credentials) into a deterministic sizing package — sizing.md, sizing-manifest.json, discovery.md, and an optional roi.md. Derives monthly volumes, builds MVP and production profiles, and projects both through the shared cost engine with explicit meter coverage and PTU break-even; Citadel hub sizing stays separate from per-application sizing, and every assumption carries a provenance. USE FOR: qualify a pilot, size an agent workload, pre-sales sizing, sizing manifest, cost per transaction, MVP vs production sizing, ROI estimate, Citadel hub sizing, discovery notes, seed SPEC section 12. DO NOT USE FOR: post-deploy cost projection from a live deployment (use threadlight-consumption-iq); production-readiness gating (use threadlight-production-ready); Bicep/infra changes or deployment (use threadlight-deploy).
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{"version":"0.1.0"}
# threadlight-qualify Deterministic, **no-discovery** qualification & sizing for an Azure AI agent pilot. It runs from a declared interview only — it never touches Azure, Bicep, `az`, `azd`, Docker, or customer credentials, so it is safe to run in Microsoft Copilot Cowork. ## When to use Reach for this at the **pre-sales / qualification** stage, before any repo or deployment exists, to answer: *what will this cost, at what volume, and is the ROI there?* The output seeds SPEC § 12 for `threadlight-design`. ## Inputs (the interview) Collect these required fields into a profile object (see `references/fixtures/sample-qualification/profile.json`): - `customer_brief`, `workload_class` - `annual_transaction_volume`, `transaction_unit` - `pages_per_transaction`, `document_origin` - `turns_per_conversation`, `tokens_per_turn_estimate` - `peak_concurrency`, `business_hours_only` - `sites_or_entities`, `data_residency`, `pinned_region` Optional (both required to unlock `roi.md`): `current_annual_cost_usd`, `current_handling_minutes_per_transaction`. ## How to run Call the Python entry point (no shell tooling, no infrastructure required): ``` python3 scripts/qualify.py \ --profile <profile.json> \ --output-dir <dir> \ --generated-at 2026-06-12T12:00:00+00:00 # pin for deterministic bytes ``` Or import it: ```python from qualify import run_qualification run_qualification(profile, output_dir=Path("out"), generated_at="2026-06-12T12:00:00+00:00") ``` ## Outputs Written under `<output-dir>/qualification/`: | File | When | Contents | | --- | --- | --- | | `sizing.md` | always | Human-readable MVP + production sizing, hub sizing, assumptions | | `sizing-manifest.json` | always | Normalized load profile, per-stage cost manifests, assumptions ledger | | `discovery.md` | always | Declared inputs + open questions (no live probe was run) | | `roi.md` | only when both current-cost inputs are supplied | Labor + solution-cost ROI | ## Contracts - **Validation first.** A missing/invalid required field raises `QualificationError` and writes **nothing**. - **Incomplete totals never lie.** A not-priceable or unverified line makes the cost manifest `partial`, `totals.complete=false`, and suppresses cost-per-transaction. No unknown is summed as zero. - **Provenance everywhere.** Every assumption is `user-supplied`, `derived`, `fixture`, or `live`. - **Hub ≠ app.** Citadel hub sizing (`kind: citadel-hub`, estate-billed) is kept separate from application sizing (`kind: threadlight-application`). - **Deterministic.** A pinned `generated_at` produces byte-identical `sizing-manifest.json`. ## Seeding SPEC § 12 `threadlight-design` reads `qualification/sizing-manifest.json` and seeds SPEC § 12 `load_profile{}` from its normalized load profile instead of re-running the interview.
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