Retroactively audit an executed AI phase's evaluation coverage — scores each eval dimension as COVERED/PARTIAL/MISSING and produces an actionable EVAL-REVIEW.md with remediation plan
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Retroactively audit an executed AI phase's evaluation coverage — scores each eval dimension as COVERED/PARTIAL/MISSING and produces an actionable EVAL-REVIEW.md with remediation plan
日本語の概要は準備中です。原文の説明を表示しています。
Ensure textures and decals cover all visible surfaces of a closed or extruded Blender asset, especially front/back caps and sidewalls, instead of relying on partial projected planes, curves, or linework overlays. Use when back textures do not fill the model, side textures are missing, spin/turntable views expose plain sidewalls, or a model needs separate UV treatment for caps and side surfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Harmonize multiple Blender skills into a coherent pipeline with clear activation precedence, handoff artifacts, dependency gates, and conflict-resolution rules. Use when a Blender task spans several skills, when reference-locked work conflicts with generic production workflow, after adding/updating skills, or when repeated failures indicate skill interference or missing inter/intra-play.
日本語の概要は準備中です。原文の説明を表示しています。
Run a self-refinement loop when a Blender result is subpar, user expectations are not met, validation fails, or repeated issues reveal missing skill depth. The loop diagnoses the gap, decides whether to repair the artifact or acquire/refine a generic skill, sanitizes lessons for reusable publication, updates docs/versioning, validates, and prepares stage/commit/push when explicitly requested.
日本語の概要は準備中です。原文の説明を表示しています。
Generate missing documentation from scratch for a feature, module, or entire project. (gstack)
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose and fix mini-program failures through reproducible, evidence-driven root-cause analysis across source, state, asynchronous timing, caches, mock data, build versions, platform behavior, devices, cloud calls, and external services. Use when users report white screens, crashes, stale or jumping values, missing data, intermittent behavior, permission failures, performance stalls, device-only defects, API or cloud-function errors, source-versus-build mismatches, or regressions whose cause is not yet established. Freezes the observation environment, ranks competing hypotheses, runs discriminating checks, creates a failing regression test before repair, covers analogous states, and never hides a known failure with longer waits, swallowed errors, forced success, or cosmetic patches.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews Remix v2 code for caching header misuse, missing server/client split, hydration mismatches (Date, Math.random, locale), prefetch hygiene, and asset bottlenecks. Use when reviewing routes that export headers, use .server.ts/.client.ts, or render dates/IDs in a Remix v2 codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews Remix v2 code for v1-shape meta exports (BREAKING in v2), cookie security gaps (httpOnly, secure, secrets rotation), auth gates in wrong layer, and missing CSRF. Use when reviewing meta/SEO, session, auth, or form-mutation code in a Remix v2 codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews Remix v2 loaders and actions for mutations-in-loader, missing validation, leaked server fields, wrong return helpers, v1 useTransition holdovers, and revalidation traps. Use when reviewing loader/action code in a Remix v2 codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews Remix v2 route files for naming convention violations, missing layouts, resource-route shape, and v1 holdovers. Use when reviewing files under app/routes/ in a Remix v2 codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews Remix v2 form code for manual fetch() mutations, native <form> misuse, wrong useNavigation/useFetcher choice, missing pending state, unbounded uploads, and intent-pattern violations. Use when reviewing form/mutation code in a Remix v2 codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Verify documentation coverage and generate missing docs interactively
日本語の概要は準備中です。原文の説明を表示しています。
Author the narrowest R8/ProGuard keep rule for a JNI binding, serializable nav route, or proto-lite class. Use when adding one of those or triaging missing_rules.txt after a release build.
日本語の概要は準備中です。原文の説明を表示しています。
Ownership-validation preflight for a warp route. For each chain in the route, determine the owner type (ICA / Safe / Squads / other multisig), confirm it exists on chain (or deploy if missing for ICAs), and reject EOAs. Run before /warp-deploy-init-route generates the deploy.yaml so the deployment never proceeds against an invalid owner set.
日本語の概要は準備中です。原文の説明を表示しています。
Triage long email threads for an insurance context, identify the most recent actionable message, extract key context, infer intent (e.g., missing documents, follow-up/reminder, payment, status), and decide whether to reply or take further action.
日本語の概要は準備中です。原文の説明を表示しています。
Use when fixing HustleXP revenue collection bugs including Stripe platform fee not being collected (application_fee_amount missing), escrow fee miscalculation using task.price instead of escrow.amount, self-insurance pool never funded, tip platform cut absent, subscription renewal revenue not logged, or XP tax path unreachable. Covers all platform fee issues and financial invariant checks.
日本語の概要は準備中です。原文の説明を表示しています。
Validate data quality in CSV/Excel files for vehicle insurance platform. Use when checking required fields, validating data formats, detecting quality issues, or generating quality reports. Mentions "validate", "check fields", "data quality", "missing values", or "quality score".
日本語の概要は準備中です。原文の説明を表示しています。
Clean and standardize vehicle insurance CSV/Excel data. Use when handling missing values, fixing data formats, removing duplicates, or standardizing fields. Mentions "clean data", "handle nulls", "standardize", "duplicates", or "normalize".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing animations in a codebase — find inconsistencies, missing reduced-motion support, and performance issues. Use when asked to "audit our animations", "check reduced-motion support", or "our animations are janky".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing mocks and test doubles — find contract drift, missing error cases, and stale fixtures. Use when asked to "audit our mocks", "find stale test fixtures", or "check for contract drift".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing vulnerability management — find SLA gaps, missing tiers, and process failures. Use when asked to "audit our vulnerability management", "find patch SLA gaps", or "are we patching fast enough".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing layout patterns in a codebase — find ad-hoc spacing, inconsistent grids, and missing primitives. Use when asked to "audit our layout patterns", "we have ad-hoc spacing everywhere", or "our grids are inconsistent".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing model training code — find reproducibility issues, data leakage, and missing best practices. Use when asked to "audit our training code", "is our training reproducible", or "check for training data leakage".
日本語の概要は準備中です。原文の説明を表示しています。
Audit existing ML monitoring — find gaps in drift coverage and missing alerts. Use when asked to "audit our ML monitoring", "are our models monitored", or "find drift coverage gaps".
日本語の概要は準備中です。原文の説明を表示しています。