Web・iOS・Androidの画面を、読み上げやキーボード操作に対応させ、ラベル、配色、操作対象の大きさなどをWCAG 2.2に沿って設計・点検するスキル。
- アイコンボタンの説明を付けたいとき
- キーボード操作とモーダルの点検
- コントラストや操作対象の大きさの確認
Govern cross-module regression in large repositories with a REGRESSION.md ledger that records each module's downstream consumers and executable acceptance command. After a change, run the changed module and every affected downstream command, and use observed exit codes as regression evidence under the project's delivery policy. Use for module regression, regression ledgers, impact audits, downstream verification, and changes where modifying A may break B.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
test-collaboration: TEST-IDs, test assets, and defect-regression evidence.ai-regression-testing: executable regression tests derived from important defects.contract-first: cross-service or cross-client contract verification.change-impact: pre- and post-implementation blast-radius analysis.In large projects, modules depend on one another. People and agents often verify only the changed module while downstream consumers fail silently. The defect appears days later when an aggregate, export, or external behavior is wrong.
The remedy is a regression ledger (REGRESSION.md) plus a deterministic audit: after any relevant change, run the changed module and all affected downstream consumers. Delivery requires every command to pass.
## Module 03 — Shop Data Cleaning
Downstream consumers: 05-aggregation, 07-final-export
Dependency evidence: `<repository dependency graph or reproducible scan command>`
Regression acceptance command: `pytest tests/test_03.py && python scripts/reconcile.py --module 03`
Propagation rule: external behavior change → run 05 and 07; internal-only change with a green module check → downstream may be exempted
unverified when they cannot be established mechanically. An affected unverified edge blocks an all-green verdict until a human confirms its scope or the related module is included in the run.REGRESSION.md does not maintain business rules or test gaps. It references stable TEST-IDs from the test-registry artifact:
Related test points: TEST-ORDER-001, TEST-REFUND-003
test-collaboration and the test registry.docs/, and link it from the project's instruction/map artifact so it does not become an orphan.Invoke module-regression through the host's skill entry point, such as $module-regression in Codex. The current session plans and reports the audit. Repository commands run through the trusted host runner within existing user authorization; ask only when a command needs new authority. Successful exit codes are regression evidence, never canonical ECC completion or integration authority.
git diff --name-only <base> HEAD, unstaged git diff --name-only, staged git diff --cached --name-only, and git status -s paths including untracked files, then map their union to ledger modules. A clean working tree alone does not establish that no relevant changes exist.NOT RUN.| Method | Owns | Artifact | Verification time |
|---|---|---|---|
contract-first | Cross-client/service field contracts | CONTRACT.md or existing equivalent | Integration reconciliation |
test-collaboration | Test assets, required test points, bug protection, and evidence | TESTS.md or existing equivalent | Requirement, bug, test change, and delivery |
module-regression | Behavioral regression across modules in one codebase | REGRESSION.md or existing equivalent | After each relevant change |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Web・iOS・Androidの画面を、読み上げやキーボード操作に対応させ、ラベル、配色、操作対象の大きさなどをWCAG 2.2に沿って設計・点検するスキル。
AIエージェントの不調を、指示・記憶・ツール実行・画面表示など12の層から調べるスキル。コードやログを根拠に原因を整理し、重要度順の指摘と修正案をまとめます。
実際の開発課題で複数のコーディングエージェントを比較するスキル。成功率、取得可能なAPI費用、所要時間、繰り返し実行の安定性を測り、選定や更新後の評価に使えます。
AIエージェントが使うツールの種類や入出力、エラーからの復帰手順を設計・見直します。文脈の情報量も整理し、作業完了率や再試行回数で改善を評価します。
AIエージェントが失敗や同じ操作を繰り返す原因を、エラーと実行状況から整理します。小さな復旧操作を試し、結果と根拠を引き継げる報告にまとめるスキルです。
AIエージェントの失敗や同じ操作の繰り返しを記録し、原因の切り分け、小さな復旧操作、結果の報告まで進める手順を示して、根拠のある再試行につなげるスキル。