Version and verification scope
The pinned root guide declares the name chwezi-dev-engine and states that the engine was formerly Skills Web Dev, with a folder rename dated 2026-09-20. Its last-verified line still says 2026-09-17; both dates are retained as publisher statements, without independently confirming their historical timing. This page provides that complete related replacement guide and a full Chinese translation. Official original not verified for the old skills-web-dev guide; the existing install command’s mapping to this version is unverified. Git tree, blob, translation, metadata and MIT notice checked on 2026-10-19. Companion domain guides, external engines, templates and scripts were not separately recovered. Source commands and installation were not executed or tested.
Publisher guide at pinned commit
Complete replacement guide
Chwezi Dev Engine Router
This is the entrypoint for the chwezi-dev-engine engine. It routes engineering work to the smallest accurate active skill, applies quality gates, and records evidence so outputs can be reviewed by a team that did not write them.
Standard implemented: Chwezi Dev Engine July 2026 upgrade baseline (engine formerly named Skills Web Dev; folder renamed 2026-09-20). Last verified: 2026-09-17.
Non-negotiable foundation
Always apply these before domain work:
-
skills/sdlc-meta/anti-ai-slop/SKILL.mdwhile producing any artifact. -
skills/sdlc-meta/ai-slop-audit/SKILL.mdafter each major iteration and at release. -
templates/delivery-dod/evidence-pack.mdfor implementation, architecture, security, data, DevOps, AI, SaaS, mobile, or documentation deliverables. -
docs/source-registers/ai-platforms.mdwhen work depends on current AI, Apple, cloud, security, or framework facts. -
skills/sdlc-meta/kaizen-improvement-system/SKILL.mdfor every engine audit, product audit, book-driven improvement, and post-iteration learning cycle. Published audits are capped at 65/100; improvement plans target 95/100 and require evidence.
When a task requires external research, use the Digital Research Engine at C:\wamp64\www\digital-research-engine, beginning with its source-evaluation and source-verification skills.
Route by intent
| Intent | Primary skill family |
|---|---|
| AI application, model gateway, RAG, evaluations, agent runtime, HITL, AI cost or security | skills/ai/* |
| API contract, system architecture, distributed systems, microservices, validation contracts | skills/architecture/* |
| Database schema, SQL, MySQL, PostgreSQL, reliability, persistence | skills/backend-databases/* |
| CI/CD, cloud, containers, Kubernetes, release engineering, observability, reliability | skills/devops-cloud/* |
| React, Next.js, Tailwind implementation, frontend performance, image compression, content UX | skills/frontend-ux/* |
| Android, iOS, Kotlin Multiplatform, PWA, mobile operations | skills/android/*, skills/ios/*, skills/mobile-cross/* |
| Desktop applications, Avalonia UI and Python executable-suite packaging | skills/frontend-ux/avalonia-desktop-development, skills/languages/python-modern-standards, skills/languages/csharp-dotnet-development |
| GIS maps, spatial data, PostGIS and mapping APIs | skills/gis/gis-platform-engineering |
| Games, gameplay, interactive narrative, game assets, builds and live operations | skills/game-development/game-development-orchestration then the required specialist |
| TypeScript, JavaScript, Python, PHP, C#/.NET, Java/JVM, Spring, Jakarta EE, Hibernate, Maven, Gradle, WebLogic, Quarkus, Micronaut, Helidon, GraalVM | skills/languages/* |
| SaaS tenancy, pricing, billing, entitlements, SSO/SCIM, portability, admin tooling | skills/saas/* |
| Security audit, code safety, DPIA, Linux hardening, network security | skills/security/* |
| Product discovery, business metrics, documents, spreadsheets, proposal readiness, delivery control | skills/product-business/* |
| SDLC documentation, skill writing, catalog guardrails, world-class engineering gates | skills/sdlc-meta/* and 00-meta-initialization/* |
| Finance/accounting rules, statutory values, IFRS, close, audit, payroll, tax | External chwezi-accounting-doctrine; local finance skills only orchestrate implementation |
| Visual design, typography, UI/UX appearance, documents, slides, spreadsheets, PDF visual polish | External chwezi-design-engine |
| Complete website delivery, content, SEO and launch | External website-skills; retain technical implementation here |
| Formal SRS, lifecycle specifications and governance artefacts | External chwezi-sdlc-documentation; retain implementation evidence here |
Running example
Use docs/world-class-exemplars/running-example.md: a Chwezi Core Systems multi-tenant field-service SaaS called FieldOps Ledger. The same example threads through architecture, API, database, identity, security, reliability, deployment, and evidence-pack artifacts.
Release workflow
- Read the selected domain
SKILL.md. - Load only the domain references, templates, and examples that the skill points to.
- If current facts are needed, check the appropriate source register and invoke Digital Research Skills Engine verification.
- Produce the artifact and evidence pack together.
- Run
python -X utf8 scripts\skill_catalog_guardrails.py --report-onlyafter routing or catalog changes. - Run
python -X utf8 scripts\routing_smoke_test.py --report-onlyafter routing fixtures or frontmatter changes. - Ship only when the evidence pack, anti-slop gate, and relevant domain validation pass.
Stop conditions
Stop and ask or research further when the request lacks a decision/audience, requires current platform/legal/statutory facts that have not been verified, asks for fabricated evidence, changes active-skill count without a routing reason, or would delete/move skill directories contrary to AGENTS.md.
See also
README.mddocs/skill-routing-index.mddocs/skill-aliases.ymldocs/catalog-cleanup/empty-directory-disposition.mdtemplates/delivery-dod/evidence-pack.mdexamples/full-stack-saas-reference/README.md
Original metadata
name: chwezi-dev-engine
description: Top-level router for the Chwezi Core Systems web-development and software-engineering skills engine. Use for AI systems, SaaS, architecture, APIs, databases, security, frontend engineering, mobile, DevOps, reliability, product engineering, SDLC documentation, catalog maintenance, delivery evidence packs, routing fixtures, and world-class engineering quality gates.
Attribution and license
MIT License
Copyright (c) 2026 Peter Bamuhigire
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.