Skip to content
cccskills
FreePublished on GitHub

suede-parity-contract

Suede AI cross-surface canon discipline: hold one canonical answer across every surface that states it (web, iOS, Android, docs, a second service) by generating a contract from the reference surface and making the others assert against it, so a divergence fails a test instead of reaching a user or an answer engine. Consistent canon is what makes a product citable: generative search quotes sources that do not contradict themselves, and a number that differs between your site and your app is a contradiction a model can see. Use when the same rule, threshold, ladder, or stated fact lives on two or more surfaces; when values are copied by hand out of a handoff; when two surfaces already disagree; or when auditing where they drifted. NOT FOR: deciding which surface is correct (a product call this skill records rather than makes); reviewing a diff (use suede-code); wiring merge gates (use suede-ci-gate); a generative-search audit of a page (use suede-seo-audit).

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (3)

  • SKILL.md7.8 KB
  • agents/openai.yaml1.1 KB
  • CARD.md4.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Suede Parity Contract

Iron Law: generate the contract from the reference surface's live constants.
A contract you transcribe is a second copy, and second copies drift.
A contract you generate cannot disagree with the code it came from.

Silent drift is the failure this prevents. Nothing crashes when a threshold is copied wrong into a second language. The two surfaces simply start answering the same question differently, and a user finds out before you do.

Step 1: Name one reference surface

Exactly one surface is the reference. Every other surface is a follower that asserts against it. Two references is two sources of truth with extra steps.

Pick the surface where the domain is most complete and most exercised, and write that choice into the contract's reference field so nobody re-litigates it.

Step 2: Build the contract by importing, never retyping

The builder imports the constants from the modules the application actually runs on and serializes them. Retyping a value into the builder reintroduces exactly the copy this skill exists to delete.

When a needed value is private, export it rather than duplicating it. That is a one-line change and it keeps the count of definitions at one.

Serialize with stable key order and a trailing newline, because followers vendor the file verbatim and a reformat shows up as a spurious diff.

Step 3: Make staleness fail on the reference side

One test rebuilds the contract in memory and compares it to the committed file. Without it the JSON is a snapshot someone took once.

Give it a write mode so regeneration is one command, and put that command in the contract's README and in the file's own note field:

CONTRACT_WRITE=1 <test runner> <contract test>

Compare parsed objects first so the failure names the key that moved, then compare raw bytes so a reformat is caught too.

Step 4: Vendor byte-identical to each follower

Followers keep a copy at the same relative path. Prove it matches rather than assuming:

shasum -a 256 <reference>/contracts/<name>.json <follower>/contracts/<name>.json

Two identical hashes, or the copy is stale. Record the re-sync command in the follower's README so the next person does not invent one.

Step 5: Assert through public behavior, not private internals

A follower test that reimplements the reference formula proves only that you can write the same bug twice.

Assert what a user experiences. For a ladder, feed the contract's rung values to the public accessor and check the level it returns. For a threshold, check the boundary and one step below it: a threshold asserted only from above still passes after it moves down.

Start the follower suite with a test that the contract loaded and is non-empty. A file that fails to load makes every assertion after it vacuously true.

Step 6: Pin the divergences you already have

You will find existing differences. The contract's job on day one is to make them visible and hold them still, not to erase them.

Record each under knownDivergences with the value on each surface and a reason that survives you leaving. Then add a guard asserting the divergence list is exactly the expected set, so an entry added elsewhere is a failure rather than a silence.

Each pinned divergence gets two assertions on the follower: that it still differs by the recorded amount, and that it does not equal the reference. The second one fires when someone closes the divergence and forgets the contract.

Halt format: a divergence found mid-build

Changing a shipped constant changes behavior for real users, and which surface is right is a product decision. At the moment you find one, stop and report:

Divergence: <key>. <reference surface> says <a>, <follower> says <b>.
Both shipped. <one line on what a user feels>.
  1. Move <follower> to <a>
  2. Move <reference> to <b>
  3. Record it and decide later

Then wait. Do not pick for the user, and do not change either side as a side effect of writing a contract.

Step 7: Prove non-vacuity on both sides, in this run

A parity test that cannot fail is worse than none, because it reads as evidence.

Reference side: change one constant, watch the staleness test fail naming that key, restore it, watch it pass. Follower side: edit one value in the vendored copy, watch exactly the matching assertion fail, restore.

Paste both the failing and the passing output. "The tests pass" is not proof that they can fail.

Step 8: Closing a divergence is a two-repo operation

Both halves land or neither does:

  1. Change the constant on the surface that is moving.
  2. Delete the knownDivergences entry and regenerate the contract.
  3. Re-sync the vendored copy to every follower.
  4. Replace that follower's pinning test with a plain equality assertion.
  5. Update the divergence-list guard to the new expected set.

Half of this leaves a red suite that names the missing half, which is the design working.

Versioning

Bump version only when the shape changes: a key added, removed, or renamed. A changed value is never a version bump. A value is the thing the contract exists to surface, and a follower should meet it as a failing assertion rather than as a version it is allowed to skip.

Done means

Every line proven by a command in this run:

  • The staleness test fails on a changed reference constant and names the key.
  • Every follower's vendored copy hashes identical to the reference's.
  • Every follower suite passes, and its contract-load test proves the file is really there.
  • Both non-vacuity demonstrations from Step 7 have pasted output.
  • The divergence-list guard names the same set the follower tests pin.

Boundaries

  1. Do not decide which surface's value is correct. Record, report, and let the user choose.
  2. Do not change a shipped constant as a side effect of writing a contract.
  3. Do not hand-edit a generated contract or a vendored copy. Edit the source constant and regenerate.
  4. Do not add a value to the contract that no follower asserts. An unasserted key reads as coverage and provides none.
  5. Do not put credentials, hostnames, or per-environment configuration in a parity contract. It carries domain constants that must agree everywhere.
  6. Do not let a follower's contract test reimplement the reference's formula. Assert the observable result.

Routing

  • Need the resulting tests wired as required checks or merge gates -> use suede-ci-gate.
  • Need review of the contract diff -> use suede-code (--findings-only for no letter grade).
  • Two surfaces behave differently even though the constants match -> the bug is in behavior, not canon; debug the follower's code path directly.
  • Need to plan a multi-file rollout across surfaces -> use suede-graph-flo-xr, then return here for the contract itself.
  • From suede-code: route "these two surfaces hold the same constant twice" findings back to suede-parity-contract.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Suede AI Android app factory: plan, build, test, and prepare a production native Android app from product idea to a Play-ready signed bundle. Use for requests to create, ship, monetize, or modernize an Android app. Covers Kotlin and Jetpack Compose architecture, live target-API and Play policy checks, 16 KB page sizes, accessibility, privacy and Data Safety, Play Billing Library 8+, Play Integrity, account deletion, kids and Families rules, testing, performance, store assets, signing, and a release evidence gate. NOT FOR: uploading, promoting, or rolling out a build on Play (use suede-play-release); turning a website into an iOS app (use site-to-ios-app); a review-only pass on an existing app (use suede-code --findings-only); Play listing, keyword, and screenshot strategy (use suede-aso).

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

Design, review, and visually QA web and app interfaces against explicit design laws so shipped screens look intentional instead of generic AI output.

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

Suede AI workflow for turning a live website, PWA, dashboard, or marketplace into an iOS app. Use when the user has a site or web app and asks to put it on the App Store, wrap it in an app, ship an iOS version, or convert a PWA to native. Produces SITE_TO_IOS_AUDIT.md and SITE_TO_IOS_PLAN.md: URL audit, shell-vs-native strategy, App Store Guideline 4.2 wrapper risk and the native value that mitigates it, current SDK, privacy manifest, age rating, login and payment checks, kids-app rules, QA matrix, and a release gate. NOT FOR: Android builds or conversions (use android-app-factory); Google Play uploads and rollouts (use suede-play-release); App Store listing, keyword, and screenshot strategy (use suede-aso).

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

Suede AI experimentation discipline: hypotheses, sample size and power, test duration, guardrail metrics, significance and readouts, sequential designs, and an ICE-ranked experiment backlog with a reusable playbook. Use when comparing variants, deciding whether a result is reliable, or building an experiment program and cadence. NOT FOR: analytics instrumentation (use suede-analytics), post-click conversion diagnosis (use suede-site-alchemy), writing the variant copy (use suede-copy), or channel-level incrementality and geo holdouts (use suede-attribution).

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

Suede AI paid-media creative system: angles, hooks, headlines, primary text, RSA and Performance Max assets, static and motion concepts, iOS-native reveal videos, grounded batch production, client review pages, and iteration from performance data, all checked against platform character limits. Use when producing or iterating ad creative for Google, Meta, LinkedIn, TikTok, or X from real product, review, and performance inputs. NOT FOR: campaign budgets, bidding, or targeting (use suede-ads), statistical test design (use suede-ab-testing), organic social posts (use suede-social), general marketing images such as OG or hero graphics (use suede-image), or landing-page copy (use suede-copy).

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

Suede AI paid-acquisition operating system for channel choice, campaign structure, audiences, bidding, budget pacing, negative keywords, retargeting, B2B and ABM playbooks, and kill-or-scale decisions, with platform facts checked in October 2026 (Meta Andromeda and attribution windows, Performance Max controls). Use when planning, auditing, or optimizing paid campaigns on Google, Meta, LinkedIn, X, TikTok, or comparable platforms. NOT FOR: producing ad copy or creative variants (use suede-ad-creative), implementing tracking (use suede-analytics), attribution models or reconciliation (use suede-attribution), or the landing page (use suede-site-alchemy).

The English summary is being prepared. Showing the original description.

JasonColapietro/suede-creator-skills125Updated Oct 24, 2026

See all skills by JasonColapietro

Report a problem with this skill