generator-offline-review — for Claude Code generator-offline-review, Mathildanesth, community, for Claude Code, ide skills, generator-ai-review, Skill("generator-offline-review"), — checks, s50-2025, s01-2026

v1.0.0
GitHub

Об этом навыке

Подходящий сценарий: Ideal for AI agents that need generator offline review — no supabase required. Локализованное описание: Programme de gestion des plannings équipe d'anesthésie # Generator Offline Review — No Supabase Required Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Возможности

Generator Offline Review — No Supabase Required
Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures.
Works identically to generator-ai-review but without database access.
Invocation : Skill("generator-offline-review") or user says "offline gen" / "génération offline"
Architecture: Record/Replay Prisma Proxy

# Core Topics

for Claude Code generator-ai-review Skill("generator-offline-review") — checks s50-2025 s01-2026
vperreard vperreard
[1]
[0]
Updated: 4/24/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
55
Canonical Locale
en
Detected Body Locale
en

Подходящий сценарий: Ideal for AI agents that need generator offline review — no supabase required. Локализованное описание: Programme de gestion des plannings équipe d'anesthésie # Generator Offline Review — No Supabase Required Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Зачем использовать этот навык

Рекомендация: generator-offline-review helps agents generator offline review — no supabase required. Programme de gestion des plannings équipe d'anesthésie # Generator Offline Review — No Supabase Required Mission

Подходит лучше всего

Подходящий сценарий: Ideal for AI agents that need generator offline review — no supabase required.

↓ Реализуемые кейсы использования for generator-offline-review

Сценарий использования: Applying Generator Offline Review — No Supabase Required
Сценарий использования: Applying Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures
Сценарий использования: Applying Works identically to generator-ai-review but without database access

! Безопасность и ограничения

  • Ограничение: Requires repository-specific context from the skill documentation
  • Ограничение: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is generator-offline-review?

Подходящий сценарий: Ideal for AI agents that need generator offline review — no supabase required. Локализованное описание: Programme de gestion des plannings équipe d'anesthésie # Generator Offline Review — No Supabase Required Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install generator-offline-review?

Run the command: npx killer-skills add vperreard/Mathildanesth/generator-offline-review. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for generator-offline-review?

Key use cases include: Сценарий использования: Applying Generator Offline Review — No Supabase Required, Сценарий использования: Applying Mission : Run the full generator analysis workflow offline using pre-recorded Prisma fixtures, Сценарий использования: Applying Works identically to generator-ai-review but without database access.

Which IDEs are compatible with generator-offline-review?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for generator-offline-review?

Ограничение: Requires repository-specific context from the skill documentation. Ограничение: Works best when the underlying tools and dependencies are already configured.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add vperreard/Mathildanesth/generator-offline-review. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use generator-offline-review immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

generator-offline-review

Install generator-offline-review, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Generator Offline Review — No Supabase Required

Mission: Run the full generator analysis workflow offline using pre-recorded Prisma fixtures. Works identically to generator-ai-review but without database access.

Invocation: Skill("generator-offline-review") or user says "offline gen" / "génération offline"

Architecture: Record/Replay Prisma Proxy

RECORD (online)                          REPLAY (offline)
┌────────────┐                           ┌────────────┐
│ Real Prisma │──→ Recording Proxy ──→   │ Replay Proxy │
│ (Supabase) │    saves queries to       │ (fixtures)   │
└────────────┘    s50-2025.json          └──────────────┘
                                          ↑ serves from JSON

Files:

  • src/lib/prisma-offline-proxy.ts — Record/Replay proxy
  • src/lib/prisma.ts — checks PRISMA_RECORD_PATH / PRISMA_REPLAY_PATH
  • scripts/offline-fixtures/*.json — fixtures par semaine (s50-2025, s01 à s13-2026, s16-2026)
  • scripts/generate-offline.ts — standalone offline generation (no HTTP, no dev server)
  • scripts/extract-offline-fixtures.ts — records fixtures via direct engine (recommended)
  • scripts/record-offline-fixtures.ts — records fixtures via HTTP generation (legacy)

Semaines disponibles

PresetDatesMoisFixtures
s50-2025 (défaut)2025-12-07 → 2025-12-13Déc 2025offline-fixtures/s50-2025.json ✅
s01-20262025-12-29 → 2026-01-04Janv 2026offline-fixtures/s01-2026.json ✅
s02-20262026-01-05 → 2026-01-11Janv 2026offline-fixtures/s02-2026.json ✅
s03-20262026-01-12 → 2026-01-18Janv 2026offline-fixtures/s03-2026.json ✅
s04-20262026-01-19 → 2026-01-25Janv 2026offline-fixtures/s04-2026.json ✅
s05-20262026-01-26 → 2026-02-01Janv/Fév 2026offline-fixtures/s05-2026.json ✅
s06-20262026-02-02 → 2026-02-08Fév 2026offline-fixtures/s06-2026.json ✅
s07-20262026-02-09 → 2026-02-15Fév 2026offline-fixtures/s07-2026.json ✅
s08-20262026-02-16 → 2026-02-22Fév 2026offline-fixtures/s08-2026.json ✅
s09-20262026-02-23 → 2026-03-01Fév/Mar 2026offline-fixtures/s09-2026.json ✅
s10-20262026-03-02 → 2026-03-08Mar 2026offline-fixtures/s10-2026.json ✅
s11-20262026-03-09 → 2026-03-15Mar 2026offline-fixtures/s11-2026.json ✅
s12-20262026-03-16 → 2026-03-22Mar 2026offline-fixtures/s12-2026.json ✅
s13-20262026-03-23 → 2026-03-29Mar 2026offline-fixtures/s13-2026.json
s16-20262026-04-13 → 2026-04-19Avr 2026offline-fixtures/s16-2026.json ✅

✅ = fixtures enregistrées (S50 + S01-S12 + S16 = 14 semaines). Seule S13 nécessite un enregistrement.

Tous les scripts acceptent --week=<preset> (ex: --week=s10-2026).

Phase 0: CHECK FIXTURES

Before anything, verify fixtures exist for the target week:

bash
1# Vérifier toutes les fixtures disponibles
2ls -la scripts/offline-fixtures/
3
4# Vérifier une semaine spécifique (ex: S10 mars 2026)
5ls -la scripts/offline-fixtures/s10-2026.json

Semaines déjà enregistrées : s50-2025, s01-2026 à s12-2026, s16-2026 (14 semaines). Seule s13-2026 doit encore être enregistrée si nécessaire.

If the file does not exist or needs refreshing:

Record fixtures (requires Supabase access):

Method A: Standalone script (recommended, no server restart)

bash
1# Enregistrer une semaine spécifique (ex: S10 mars 2026)
2npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=s10-2026
3
4# Enregistrer plusieurs semaines en séquence
5for week in s02-2026 s06-2026 s10-2026; do
6  npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=$week
7done

This runs the engine directly with the recording proxy. No dev server needed.

Method B: Via dev server (if you need more control)

  1. Stop any running dev server
  2. Start with recording: 
    bash
    1PRISMA_RECORD_PATH=scripts/offline-fixtures/s10-2026.json npm run dev
  3. Run a generation: 
    bash
    1npx tsx --env-file .env.local scripts/generate-via-api.ts --week=s10-2026
  4. Stop the dev server (Ctrl+C)

Verify the fixtures file was created and has reasonable size (>1MB = ~170 queries).

Phase 1: OFFLINE GENERATE

Two options:

bash
1# S50 (défaut)
2npx tsx --env-file .env.local scripts/generate-offline.ts
3npx tsx --env-file .env.local scripts/generate-offline.ts --hybrid=false
4npx tsx --env-file .env.local scripts/generate-offline.ts --bestOfN=3
5
6# S16
7npx tsx --env-file .env.local scripts/generate-offline.ts --week=s16-2026
8npx tsx --env-file .env.local scripts/generate-offline.ts --week=s16-2026 --bestOfN=3

This imports the engine directly with PRISMA_REPLAY_PATH set. No Next.js, no HTTP, no dev server required.

Option B: Via dev server (if you need the UI or HTTP endpoints)

bash
1# S50
2PRISMA_REPLAY_PATH=scripts/offline-fixtures/s50-2025.json npm run dev
3npx tsx --env-file .env.local scripts/generate-via-api.ts
4
5# S16
6PRISMA_REPLAY_PATH=scripts/offline-fixtures/s16-2026.json npm run dev
7npx tsx --env-file .env.local scripts/generate-via-api.ts --week=s16-2026

After generation:

  1. Read scripts/debug-exports/runs/<logId>/validation.json (archivé, figé, recommandé depuis 24/04/2026) OU scripts/debug-exports/latest-validation.json (risque d'écrasement au prochain run)
  2. Generate the visual grid: 
    bash
    1npm run debug:grid
2# équivalent : npx tsx --env-file .env.local scripts/view-generation-grid.ts --no-open

🆕 Archivage automatique par logId (24/04/2026)

Chaque génération crée automatiquement scripts/debug-exports/runs/<logId>/ contenant :

  • manifest.json — summary_for_ai (5 lignes), overallScore, topViolations, stats
  • validation.json, assignments.json, generation-trace.json, r1-analysis.json, surgeon-grid.json, staffing-plan.json
  • FIFO 20 runs max (anciens supprimés automatiquement)

Pour comparer 2 runs offline (avant fix vs après fix) :

typescript
1import { DebugAutoExporter } from '@/modules/unified-generator/services/DebugAutoExporter';
2const runs = DebugAutoExporter.listRuns();
3const before = DebugAutoExporter.getRunManifest(runs[1].logId);
4const after = DebugAutoExporter.getRunManifest(runs[0].logId);
5console.log(before.summary_for_ai, '\n→\n', after.summary_for_ai);

Output: Display quickSummary + structuredSummary + manifest.summary_for_ai du run archivé.

Phase 2+3: ANALYSIS (Claude + Codex)

Identical to generator-ai-review Phase 2+3.

Use the same analysis workflow:

  • Read scripts/debug-exports/latest-validation.json
  • Perform 2A (integrity check), 2B (causal analysis), 2C (prioritization), 2D (code reading)
  • Launch Codex analysis in parallel (if codex CLI available)

Note: In offline mode, Codex may or may not be available. If no internet → skip Codex, do Claude-only analysis. If internet available (VPN, hotspot) → use Codex normally.

Source File Mapping (same as generator-ai-review)

RulesSource File
R1,R4,R5,R6,R7,R10,R19,R22,R23,R27,R36phases/IADEDistributionPhase.ts
R9,R11,R12,R13,R18,R48phases/MARBlocPhase.ts
R8,R14,R15,R28,R30phases/SupervisionPhase.ts
R12,R26,R41phases/GlobalSwapOptimizerPhase.ts
R12,R33,R41phases/CrossDayOptimizerPhase.ts
R21,R32phases/OffDistributionPhase.ts
R16,R17,R29,R31,R44,R46phases/GardePhase.ts
R42phases/AstreintePhase.ts
R20,R25,R43,R47phases/ConsultationPhase.ts

Phase 4: CROSS-VALIDATION

Same as generator-ai-review Phase 4:

  • Triple validation (Report + Claude + Codex if available)
  • Merge findings
  • Filter justified/period-limited violations

Phase 5: JOINT FIX PLAN

Same format as generator-ai-review Phase 5. Present to user for approval.

Phase 6: EXECUTE FIXES + RE-GENERATE OFFLINE

For each approved fix:

  1. Read the target file
  2. Apply the fix via Edit tool
  3. Re-generate offline: 
    bash
    1npx tsx --env-file .env.local scripts/generate-offline.ts
  4. Compare before/after scores
  5. If regression (>2pts): revert

After all fixes:

  • Run 3x: npx tsx --env-file .env.local scripts/generate-offline.ts --bestOfN=1
  • Present before/after table
  • Update memory files

Guardrails

Same as generator-ai-review:

  • Never modify the Prisma schema
  • Never change validation rules to mask violations
  • Never do mutating requests against localhost:3000

Offline-specific:

  • Always verify fixtures exist before generating
  • Remember: Fixtures are a snapshot — if DB data changes, re-record with --week=<preset>
  • N=3 validation still works: Each run is stochastic (shuffleRooms), fixtures just provide the input data
  • CasePackExporter may partially fail in direct engine mode (some export queries not recorded). The assignments and core validation still work.

Quick Reference

🆕 Scripts npm (depuis 24/04/2026 — préférés pour la simplicité)

bash
1npm run debug:offline              # Génération offline S50 (défaut)
2npm run debug:offline -- --week=s16-2026    # Semaine spécifique
3npm run debug:grid                 # Génère generation-grid.html
4npm run debug:phases               # Génère phase-visualizer.html
5npm run debug:latest               # Dump des latest-*.json dans le terminal
6npm run debug:trace -- "NOM" "2026-04-13" "MATIN" "Salle 2"   # Trace user/slot

Commandes complètes (legacy — équivalentes)

bash
1# Record fixtures (online, requires Supabase) — à faire UNE FOIS par semaine
2npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts                   # S50 2025 (défaut)
3npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=s02-2026   # Janv 2026
4npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=s06-2026   # Fév 2026
5npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=s10-2026   # Mars 2026
6npx tsx --env-file .env.local scripts/extract-offline-fixtures.ts --week=s16-2026   # Avr 2026
7
8# Generate offline (no server needed) — toutes semaines
9npx tsx --env-file .env.local scripts/generate-offline.ts                   # S50 (défaut)
10npx tsx --env-file .env.local scripts/generate-offline.ts --week=s02-2026   # Janv
11npx tsx --env-file .env.local scripts/generate-offline.ts --week=s06-2026   # Fév
12npx tsx --env-file .env.local scripts/generate-offline.ts --week=s10-2026   # Mars
13npx tsx --env-file .env.local scripts/generate-offline.ts --week=s16-2026   # Avr
14
15# Generate offline via dev server
16PRISMA_REPLAY_PATH=scripts/offline-fixtures/s50-2025.json npm run dev
17npx tsx --env-file .env.local scripts/generate-via-api.ts
18# Ou pour une semaine spécifique:
19PRISMA_REPLAY_PATH=scripts/offline-fixtures/s10-2026.json npm run dev
20npx tsx --env-file .env.local scripts/generate-via-api.ts --week=s10-2026
21
22# View grid
23npx tsx scripts/view-generation-grid.ts --no-open
24
25# 🆕 Pack IA unifié (nécessite dev server actif, online OU replay mode)
26curl "http://localhost:3000/api/debug-generator/ai-pack?logId=<logId>" > /tmp/ai-pack.json

Связанные навыки

Looking for an alternative to generator-offline-review or another community skill for your workflow? Explore these related open-source skills.

Показать все

openclaw-release-maintainer

Logo of openclaw
openclaw

Локализованное описание: 🦞 # OpenClaw Release Maintainer Use this skill for release and publish-time workflow. It covers ai, assistant, crustacean workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

★ 333.8k
⑂ 0
Искусственный интеллект

widget-generator

Logo of f
f

Локализованное описание: Generate customizable widget plugins for the prompts.chat feed system # Widget Generator Skill This skill guides creation of widget plugins for prompts.chat . It covers ai, artificial-intelligence, awesome-list workflows. This AI agent skill supports Claude Code, Cursor

★ 149.6k
⑂ 0
Искусственный интеллект

flags

Logo of vercel
vercel

Локализованное описание: The React Framework # Feature Flags Use this skill when adding or changing framework feature flags in Next.js internals. It covers blog, browser, compiler workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

★ 138.4k
⑂ 0
Браузер

pr-review

Logo of pytorch
pytorch

Локализованное описание: Usage Modes No Argument If the user invokes /pr-review with no arguments, do not perform a review . It covers autograd, deep-learning, gpu workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

★ 98.6k
⑂ 0
Разработчик