eryc.my.id-asset
ErycTheGreat/eryc.my.id-asset/llms-full.txt
# llms-full.txt — Complete Site Content | Eryc Tri Juni S Source: https://www.eryc.my.id/llms-full.txt Generated: 2026
How real projects summarise themselves for language models.
ErycTheGreat/eryc.my.id-asset/llms-full.txt
# llms-full.txt — Complete Site Content | Eryc Tri Juni S Source: https://www.eryc.my.id/llms-full.txt Generated: 2026
ErycTheGreat/eryc.my.id-asset/llms.txt
systems. * [Dev.to](https://dev.to/neo_nietzsche) — Technical writing and developer community. * [CodePen](https://codepen.io/ErycTheGreat) — Frontend experiments and live code demos. * [Quora](https://id.quora.com/profile/Eryc-Tri-Juni-S) — Philosophy and critical thinking. ## [PRIMARY_KEYWORDS
gabros20/architecture-skill/site/llms.txt
product threshold. Pipeline: - `handoff.md` — standalone vs pipeline behavior and the `handoff.yaml` companion consumed by frontend, backend, data, ai, and quality. Assets (`skills/architecture/assets/`): solution-architecture-doc.md (arc42-shaped) · arc42-skeleton.md · adr-template.md · nfr-budget-worksheet.md · threat-model-register.md · bounded-context-canvas.md
gabros20/design-skill/site/llms.txt
direction, typography, color, layout, motion, imagery, content design, accessibility, prototypes, design systems, critique, and frontend handoff — as design artifacts and a frontend-ready handoff, never production code passed
gabros20/digital-product-skill/site/llms.txt
Site | |---|---|---| | Define | `product` | https://product-skill.vercel.app | | Design | `design` | https://designskill.vercel.app | | Shape | `architecture` | https://architecture-skill.vercel.app | | Build | `frontend` | https://frontendengskill.vercel.app | | Build | `backend` | https://backendengskill.vercel.app | | Build | `data` | https://data-skill.vercel.app | | Build | `ai` | https://aiengskill.vercel.app | | Build
Gzyms69/agent-setup-bundle/llms.txt
Cause debugging, and Anti-Destruction policies. - **39 Production Skills**: Covering Architecture, Context Engineering & Orchestration, Frontend & UI/UX, Backend, Systems & MCP Builder, AI/Data Science, MemPalace, and QA/Auditing. - **Project-Level Blueprints (`AGENTS.md`)**: AAIF
harshsinghmp/muse-skills/llms.txt
paid ads (paidads) or analytics setup (analytics). - [webdev](webdev/SKILL.md): Full web engineering department: frontend, backend, fullstack builds with layered security, e-commerce, CMS integration, web performance, accessibility, migrations, developer onboarding
Hayatelin/taste-skill-zh-TW/skills/llms.txt
v2.0.0 穩定版持續迭代中。 taste-skill-v1: taste-skill 的原始 v1 版本,為依賴其精確行為的專案保留。目前預設版本是 `design-taste-frontend`(v2 實驗版)。 gpt-taste: 頂尖 Awwwards 等級的前端設計與 GSAP 動效 skill,用於產生高級、確定性、反 slop
kairav7220/travel-booking-agent/llms.txt
versatile as the LLM - PostgreSQL + PostgresSaver for conversation checkpointing - Streamlit for the frontend - AviationStack API for flight data - Tavily API for hotel/hotel search ## Environment Variables GROQ_API_KEY, TAVILY
koinara/koinara-site/dist/llms-full.txt
# Koinara full public archive This file concatenates all public-safe reviewed Koinara records for
koinara/koinara-site/dist/llms.txt
form-submit-lost-on-unmount, aigora-path:records/traps/frontend/dropdown-form-submit-lost-on-unmount.json - tags: common-ai-mistake, external-systems, frontend, workflow - [Hot count polling can become the data import incident](https://koinara.org/records/hot-count-polling-can-become-the-incident/) - raw Markdown
lj22503/mangoview/llms.txt
bias 6. **Decide** with audit trail ## Tech Stack | Layer | Tech | |---|---| | Backend | FastAPI + Python 3.11+ | | Frontend | Next.js 14 + Tailwind + Recharts/ECharts | | Data | AKShare / 东方财富 / 天天基金 / 新浪 / tushare | | Knowledge | investment-framework-skill (submodule
lroolle/skills/llms.txt
fonts, icons, and references by function - [kiln](https://raw.githubusercontent.com/lroolle/skills/main/skills/kiln/SKILL.md): design or restyle a frontend surface; audit an interface; rescue generic AI-looking output - [taste](https://raw.githubusercontent.com/lroolle/skills/main/skills/taste/SKILL.md): judge whether
MachengShen/MachengShen.github.io/llms-full.txt
wheels for multi-agent AI coding — drift checks, adversarial review, a reuse compiler, a frontend smoke gate. Built for the failure mode where every agent reports "done" and nobody actually
MachengShen/MachengShen.github.io/llms.txt
wheels for multi-agent AI coding — drift checks, adversarial review, a reuse compiler, a frontend smoke gate. Built for the failure mode where every agent reports "done" and nobody actually
martin1847/krpc-starter/llms.txt
walks > the full loop end to end, paired with a universal React Native + Web frontend in one > monorepo. Read this if you are building a contract-first agent backend
nauelGomez/nahuelgomez-pro/portfolio/llms.txt
Express), PHP (Laravel, Symfony), APIs REST, WebSockets/Socket.io, arquitectura multi-tenant, PostgreSQL (Prisma), MongoDB, MySQL - **Frontend:** React, Angular, Astro, TypeScript - **Infraestructura e integraciones:** Docker, AWS (EC2, S3), Railway, Fly.io, GitHub Actions
nycsav/notion-geo-audit/docs/llms.txt
question FAQ assistant - [Architecture](https://geo.ensolabs.ai/architecture.html): How the backend, connectors, and frontends fit together - [Source code](https://github.com/nycsav/notion-geo-audit): MIT-licensed repository — CLI, Claude MCP connector, Notion sync
OctopusGarage/octopusgarage.github.io/llms-full.txt
generate a bracket, and export a shareable poster. It is implemented as a pure frontend app with React, TypeScript, Vite, internationalization, and GitHub Pages hosting. mbti-lab is a bilingual
opendaniil/collabora-online-sdk-llms/llms.txt
Hidden-form override mechanism for selected CheckFileInfo behavior at iframe setup time. ## iframe and Frontend Integration - [Website that presents the editing capabilities](articles/148_L1_How_to_integrate__Website_that_presents_the_editing_capabilities.md): Main iframe embedding entrypoint for document editing
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.