gearlist
techhorizonlabs/gearlist/llms-full.txt
Gearlist Updated: 2026-11-08 Documentation reviewed, not independently tested. No ranking or safety
How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
techhorizonlabs/gearlist/llms-full.txt
Gearlist Updated: 2026-11-08 Documentation reviewed, not independently tested. No ranking or safety
vaah-ai/GenicUI/llms-full.txt
# GenicUI — `llms-full.txt` (full corpus for AI agent ingestion) # # Snapshot of the canonical https://genicui.vaah.ai
Adarshukumar/skills/docs/llms-full.txt
Fullstack, AI/ML, DevOps, security, data, and QA skills. Includes senior-role skills (architect, backend, frontend, fullstack, DevOps, data engineer/scientist, ML, computer vision, prompt, QA, security, SecOps), cloud architects (AWS/Azure/GCP
agentapplication/agentapplication/docs/llms-full.txt
# Agent Applications > A vendor-neutral reference architecture for building and operating AI agent systems
ArcQian-bit/codex-real-engineer-skills/docs/llms.txt
repo mapping, issue triage, PR review, security review, performance work, release prep, docs sync, frontend polish, migrations, and the general `real-engineer` workflow router. The pack is inspired by public
ArcQian-bit/codex-real-engineer-skills/llms.txt
repo-cartographer`, `issue-sherpa`, `pr-reviewer`, `security-scout`, `perf-lab`, `release-captain`, `docs-keeper`, `frontend-polisher`, and `migration-pilot`. The collection adapts common engineering-agent patterns from the public Claude
baiyuan-tech/pif-whitepaper/llms.txt
layer architecture — module boundaries, data flow, deployment topology, and design trade-offs - [Chapter 5: Frontend Stack](https://baiyuan-tech.github.io/pif-whitepaper/en/ch05-frontend-stack.html): Next.js 15 App Router, React Server Components, shadcn/ui, react-hook-form
burakdegirmenci/AgenticFlow/llms.txt
SQLite, Alembic, APScheduler, Zeep, Pydantic v2, cryptography (Fernet), anthropic SDK, google-genai SDK. - Frontend: React 18 + TypeScript + Vite, @xyflow/react (React Flow), Zustand, TanStack Query, Tailwind, Lucide icons. - Tooling: ruff, mypy
byhow/model-picker/docs/llms.txt
data modes: ### Live (no API key required for primary path) - top, get - Queries OpenRouter frontend API directly, falls back to Firecrawl if available - Mirrors OpenRouter URL query parameters ### Snapshot (offline
byhow/model-picker/llms.txt
data modes: ### Live (no API key required for primary path) - top, get - Queries OpenRouter frontend API directly, falls back to Firecrawl if available - Mirrors OpenRouter URL query parameters ### Snapshot (offline
closestfriend/design-eng.ref/llms.txt
/torcado194/scritch-player): github - [React-Select](https://react-select.com/home) - [Relume Libraries Cloneable](https://relume-libraries.webflow.io/) - [Storybook: Frontend workshop for UI development](https://storybook.js.org/): llms.txt - [Tailwind CSS button collection - Click-to-copy
corbensorenson/genesisCode/llms.txt
corbensorenson.github.io/genesisCode/docs/spec/SELFHOST_EFFECT_POLICY_COMPOSITION_v0.1.html - Self-hosted Evidence Verification Authority v0.1: https://corbensorenson.github.io/genesisCode/docs/spec/SELFHOST_EVIDENCE_VERIFY_AUTHORITY_v0.1.html - Self-host Frontend Authority Profile v0.1: https://corbensorenson.github.io/genesisCode/docs/spec/SELFHOST_FRONTEND_AUTHORITY_v0.1.html - Self-host Obligation Authority v0.1: https://corbensorenson.github.io/genesisCode/docs/spec/SELFHOST_OBLIGATION_AUTHORITY_v0.1.html - Self-host
datacendia/datacendia-core/public/llms.txt
Editions (Commercial Open-Source / COSS) - **Community Edition**: Open Source (Apache 2.0). Full platform — frontend, backend, deliberation engine, cryptographic infrastructure. Self-hosted, single node. All inference providers (Ollama, OpenAI, Together
datvietvac-techhub/mcp-web-tools/docs/llms-full.txt
FastMCP server, host port `${MCP_PORT:-8000}`, exposes `/mcp`. - `searxng`: internal metasearch frontend on port 8080, JSON API enabled. - `crawl4ai`: internal headless-browser crawler on port 11235, exposes
davidesilver/ZeroHuman-Agency/public/llms-full.txt
unified platform. ## Pipeline ``` Topics + Sources -> Research -> Scoring -> Draft -> Review -> Publish ^ Metrics feedback loop ``` ## Architecture - **Frontend:** Next.js 16 with React 19, Tailwind CSS, Supabase SSR auth - **Backend:** Python FastAPI with structured
davidesilver/ZeroHuman-Agency/public/llms.txt
influence future content scoring - Cost tracking and LLM provider observability ## Tech stack Next.js 16 (frontend) + Python FastAPI (backend) + Supabase (database + auth) + Docker ## Links - GitHub: https://github.com/davidesilver/ZeroHuman-Agency - License
dcarranza-cc/commandcc/docs/llms-full.txt
across 7 categories: command (strategist, decomposer, integrator), architect (system, security, data, API), builder (backend, frontend, API, database, infrastructure), wirer (import, config, startup), tester (unit, integration, security, load), reviewer (code, security
DojoGenesis/plugins/llms.txt
creation, maintenance, batch normalization, community skill scanning - **specification-driven-development** — Spec writing, parallel tracks, frontend-from-backend, implementation prompts - **strategic-thinking** — Strategic scout, product positioning, iterative scouting, multi-surface strategy
ellmos-ai/.github/llms.txt
agent workflows. - ellmos-system-gui: https://github.com/ellmos-ai/ellmos-system-gui Shared static Astro 7 frontend artifact for BACH and Ocean with version-bound backend contract, deterministic release packaging and provenance receipts
fabivsy/Tu-Mapa-IA-Data-Node/llms-full.txt
real. ID: lyro 3. **Nosto** Veredicto: La infraestructura soberana para la hiper-personalizacion del frontend basada en el comportamiento predictivo. ID: nosto 4. **Algolia AI Search** Veredicto: El estandar
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.