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finance-billing-ops

Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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Finance Billing Ops

Use this when the user wants to understand money, pricing, refunds, team-seat logic, or whether the product actually behaves the way the website and sales copy imply.

This is broader than customer-billing-ops. That skill is for customer remediation. This skill is for operator truth: revenue state, pricing decisions, team billing, and code-backed billing behavior.

Skill Stack

Pull these ECC-native skills into the workflow when relevant:

  • customer-billing-ops for customer-specific remediation and follow-up
  • research-ops when competitor pricing or current market evidence matters
  • market-research when the answer should end in a pricing recommendation
  • github-ops when the billing truth depends on code, backlog, or release state in sibling repos
  • verification-loop when the answer depends on proving checkout, seat handling, or entitlement behavior

When to Use

  • user asks for Stripe sales, refunds, MRR, or recent customer activity
  • user asks whether team billing, per-seat billing, or quota stacking is real in code
  • user wants competitor pricing comparisons or pricing-model benchmarks
  • the question mixes revenue facts with product implementation truth

Guardrails

  • distinguish live data from saved snapshots
  • separate:
    • revenue fact
    • customer impact
    • code-backed product truth
    • recommendation
  • do not say "per seat" unless the actual entitlement path enforces it
  • do not assume duplicate subscriptions imply duplicate value

Workflow

1. Start from the freshest billing evidence

Prefer live billing data. If the data is not live, state the snapshot timestamp explicitly.

Normalize the picture:

  • paid sales
  • active subscriptions
  • failed or incomplete checkouts
  • refunds
  • disputes
  • duplicate subscriptions

2. Separate customer incidents from product truth

If the question is customer-specific, classify first:

  • duplicate checkout
  • real team intent
  • broken self-serve controls
  • unmet product value
  • failed payment or incomplete setup

Then separate that from the broader product question:

  • does team billing really exist?
  • are seats actually counted?
  • does checkout quantity change entitlement?
  • does the site overstate current behavior?

3. Inspect code-backed billing behavior

If the answer depends on implementation truth, inspect the code path:

  • checkout
  • pricing page
  • entitlement calculation
  • seat or quota handling
  • installation vs user usage logic
  • billing portal or self-serve management support

4. End with a decision and product gap

Report:

  • sales snapshot
  • issue diagnosis
  • product truth
  • recommended operator action
  • product or backlog gap

Output Format

SNAPSHOT
- timestamp
- revenue / subscriptions / anomalies

CUSTOMER IMPACT
- who is affected
- what happened

PRODUCT TRUTH
- what the code actually does
- what the website or sales copy claims

DECISION
- refund / preserve / convert / no-op

PRODUCT GAP
- exact follow-up item to build or fix

Pitfalls

  • do not conflate failed attempts with net revenue
  • do not infer team billing from marketing language alone
  • do not compare competitor pricing from memory when current evidence is available
  • do not jump from diagnosis straight to refund without classifying the issue

Verification

  • the answer includes a live-data statement or snapshot timestamp
  • product-truth claims are code-backed
  • customer-impact and broader pricing/product conclusions are separated cleanly

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같은 저장소의 스킬

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

Whole site or product — a full web accessibility (a11y) audit against WCAG 2.2, following the WCAG-EM methodology. Defines scope, samples representative pages and flows, runs the automated tier (`accessibility-scan`) and the hands-on manual tier (`accessibility-inspect`), and produces one conformance report. Grades each finding by severity and evidence basis, and states per-criterion conformance as pass, fail, or undetermined (needs a human). Use it for 'audit my site for accessibility', 'is this product accessible', 'a11y audit', 'WCAG or Section 508 conformance report', or any multi-page assessment. Assesses; does not fix (use `accessibility-fix`) or diff (use `accessibility-diff`). For a single page use `accessibility-scan`; for hands-on keyboard and screen-reader checks use `accessibility-inspect`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

Regression check — diff a live page's web accessibility (a11y) violations against a baseline. By default it compares your uncommitted changes (stash-based); pass `--branch [<name>]` to compare against a branch. Reports the new WCAG violations introduced, the ones fixed, and the count of pre-existing ones. Use it for 'did my change break accessibility', 'what a11y issues did this PR add', or as a CI gate. For a full scan of one page use `accessibility-scan`; for a whole site use `accessibility-audit`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

Remediation only — repair web accessibility (a11y) violations against WCAG 2.2 with a baseline, edit, and verify loop. Takes a target (URL, files, directory) or a findings worklist from `accessibility-scan`/`accessibility-inspect`/`accessibility-audit`, applies mechanical fixes as given, leaves TODOs for visual or contextual judgment, and verifies by re-running the baseline check. It only fixes. To find issues use `accessibility-scan` (one page, automated), `accessibility-inspect` (one page, manual), or `accessibility-audit` (whole site, WCAG-EM); to check for regressions use `accessibility-diff`. Use it for 'fix the a11y issues in X', 'make this accessible', 'add missing alt text and labels', 'apply these accessibility fixes', 'remediate these violations'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

One page, hands-on manual tier — drive a live page through the web accessibility (a11y) checks a rule engine can't decide: keyboard operation and focus order, screen-reader names, roles and states from the accessibility tree, reflow and zoom, reduced motion, form errors, and target size. Grades each finding by evidence basis (verified / confirm-with-a-human / human-required) and severity, and closes every criterion in a ledger: verified, flagged, not exercised, or N/A. Locates and assesses; does not fix (use `accessibility-fix`). Use it for keyboard testing, focus-order checks, screen-reader or a11y-tree review, reflow and zoom at 200%, or 'is this operable, not just lint-clean'. The automated tier is `accessibility-scan`; `accessibility-audit` runs both across a sampled site.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

One page, automated tier — run the web accessibility (a11y) rule engine against a live page and locate every violation it can detect mechanically. Pass a URL, a config target name (e.g. `accesslint:accessibility-scan dev`), or nothing to use the default target from `accesslint.config.json`. Ensures a debuggable Chrome, runs the @accesslint/core engine over CDP, and returns a worklist of live-DOM WCAG 2.2 violations, each grounded to its DOM selector and source `file:line`. Locates; doesn't edit. Use it for 'is this page accessible', 'check a11y on this URL', 'find contrast and alt-text issues', or to verify a UI change. For hands-on keyboard and screen-reader checks use `accessibility-inspect`; for a whole site or product use `accessibility-audit`; to diff against uncommitted changes or a branch use `accessibility-diff`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tensology/decisionsai172026년 10월 23일 업데이트

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