three.ws
nirholas/three.ws/public/llms.txt
# three.ws > three.ws is the AI-agent layer for the open web: build, embed, monetize
How real projects summarise themselves for language models.
nirholas/three.ws/public/llms.txt
# three.ws > three.ws is the AI-agent layer for the open web: build, embed, monetize
jentic/jentic-one/llms.txt
Homebrew/winget/Scoop. - [Installation overview](https://raw.githubusercontent.com/jentic/jentic-one/refs/heads/main/docs/installation/README.md): the human-facing guides — Docker with external Postgres, systemd, Helm, AWS — plus artifact verification and air-gapped transfer. - [CLI reference](https://raw.githubusercontent.com/jentic/jentic-one/refs/heads/main/cli/README.md): what
benseverndev-oss/goldenmatch/llms.txt
aligns columns across heterogeneous sources. `pip install infermap` / `npm i infermap`. - goldenmatch-extensions (Rust) — Postgres (pgrx) extension + DuckDB UDFs: SQL-native dedupe / match / score / auto-config + telemetry / identity graph. Detail
ZIZKA-AI-SL/ZizkaDB/llms.txt
parent_event_id` on `events` table + recursive CTE (see [ADR-001](docs/adr/001-causal-lineage-parent-event-id.md)) - **Dual-write**: Postgres (source of truth) + Qdrant (semantic search) (see [ADR-002](docs/adr/002-dual-write-postgres-qdrant.md)) - **Billing stub**: always `has_access
Clawdi-AI/clawdi/llms.txt
rules, and additive API policy. ## Development - [Backend Development](https://github.com/Clawdi-AI/clawdi/blob/main/docs/backend-development.md): FastAPI, Alembic, throwaway Postgres tests, and generated API client workflow. - [Frontend Development](https://github.com/Clawdi-AI/clawdi/blob/main/docs/frontend-development.md): TanStack Start dashboard loop
magnus919/agent-skills/llms.txt
statistical modeling; route those to data-engineering, platform-engineering, api-design-and-evolution, postgres, or data-scientist. - [data-cleaning](data-cleaning/SKILL.md): Clean, profile, validate, reshape, and document messy tabular
Apra-Labs/apra-fleet/llms-full.txt
with local SQLite, add a central HTTP server for a team, or plug in Postgres later -- all via a one-line config change. See [docs/knowledge-layer.md](docs/knowledge-layer.md) for the full guide
hyperb1iss/lucidity-mcp/docs/llms-full.txt
# Example Clients Source: https://modelcontextprotocol.io/clients A list of applications that support MCP integrations
major7apps/pensyve/llms.txt
first**: SQLite + ONNX embeddings. No API keys needed for local use - **Scales to cloud**: Postgres backend, managed service at pensyve.com ## Integration Options ### MCP Server (Antigravity CLI, Claude Code, Cursor, Cline
ScraperNode/awesome-n8n-templates/public/llms-full.txt
# Awesome n8n Templates — Full Listing > https://scrapernode.github.io/awesome-n8n-templates > 8,697+ n8n workflow templates > Built
wasp-lang/open-vibe/public/llms.txt
first, then proceed to Module 1. **Important**: Phase 2 requires Docker (Open SaaS uses Postgres via Docker). Docker is optional in `setup.sh`, but for Phase 2 it is mandatory
Opendray/opendray/llms.txt
DingTalk, WeCom). A local-first memory layer keeps embeddings and transcripts on your network. Postgres + pgvector. No telemetry, no cloud account. ## Supported providers - Claude Code (Anthropic) - Codex (OpenAI) - Antigravity (Google
sfrangulov/claude-code-handbook-ru/llms-full.txt
среди которых модель промахивается. claude mcp add github # @modelcontextprotocol/server-github (issues, PR) claude mcp add postgres # @modelcontextprotocol/server-postgres (read-only прод) ``` **3.** Запусти `claude` в любом репозитории и установи superpowers командой: ``` /plugin
ariffazil/arifOS/llms.txt
reason, critique, lease, attest) - A-FORGE MCP (7072) = engineering only (forge_*, filesystem, git, docker, postgres, shell, job) - forge_* on arifOS = governed bridge/proxy, never local self-authorization - GEOX/WEALTH/WELL = domain evidence organs
enessari/metabase-ai-assistant/llms.txt
Healing SQL (`ai_sql_execute_and_heal`)**: 3-iteration automated error-recovery loop for Postgres, MySQL, BigQuery, Snowflake, and SQLite (Levenshtein column matching, GROUP BY resolution, dialect conversion
mshadmanrahman/claudecode-guide/public/llms-full.txt
# Claude Code Guide > The practitioner's reference for Claude Code — Anthropic's AI coding
anthony-chaudhary/fak/llms-full.txt
# fak — the agent kernel: full documentation corpus > This file inlines the full text of
agentskillexchange/skills/llms.txt
# Agent Skill Exchange — Full Skill Catalog # Source: https://agentskillexchange.com # Generated: 2026-09-14 # Total
anzy-renlab-ai/pronounce/docs/llms-full.txt
PostgreSQL | /ˈpoʊstɡrɛs kjuː ˈɛl/ | post gress Q L | product | creator-clarified | https://www.postgresql.org/docs/current/faq.html Postgres | /ˈpoʊstɡrɛs/ | post gress | product | creator-clarified | https://www.postgresql.org/docs/current/faq.html SQLite | /ˌɛs kjuː ɛl ˈaɪt
Nagarjuna2997/ios-agent-skill/site/llms-full.txt
# iOS Agent Skill Give your coding agent the Apple references, Swift source and local
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.