ios-agent-skill / site
Nagarjuna2997/ios-agent-skill/site/llms-full.txt
# iOS Agent Skill Give your coding agent the Apple references, Swift source and local
How real projects summarise themselves for language models.
Nagarjuna2997/ios-agent-skill/site/llms-full.txt
# iOS Agent Skill Give your coding agent the Apple references, Swift source and local
proompteng/bilig/docs/llms.txt
# bilig > WorkPaper formula readback for Node services, tool integrations, workbook > automation, and formula-backed
yerdaulet-damir/awesome-solo-ai/llms.txt
gen/editing. - [Ideogram](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/tools/ideogram.md): image gen with real typography. - [Supabase](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/tools/supabase.md): Postgres + auth + pgvector. - [Vercel](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/tools/vercel.md): deploy + AI SDK + v0. - [PostHog](https://github.com/yerdaulet-damir/awesome-solo-ai/blob/main/tools/posthog.md): product
xu-xiang/awesome-top-skills/llms.txt
# Agent Skills Index URL_TEMPLATE: https://raw.githubusercontent.com/{repo}/main/skills/{path}/SKILL.md COLUMNS: id;repo
AnastasiyaW/knowledge-space/docs/llms.txt
# Happyin Knowledge Space > A comprehensive technical knowledge base with 1319+ curated articles across 28
AreevAI/areev/llms.txt
side memory tool in Python, Node, and the CLI. - [Docker](docs/docker.md): The container image (Postgres + TLS features on), compose files, the trigger heartbeat, AWS/GCP/Azure/Kubernetes mappings, multi-agent fleets
CorpusIQ/corpusiq-docs/llms.txt
both at once. - [PostgreSQL](https://www.corpusiq.io/docs/connectors/postgres): Point CorpusIQ at your production or analytics Postgres database and ask questions about your real data in plain English. Skip the JIRA ticket
Sidd27/infrawise/llms.txt
link to this function and why - `suggest_gsi` — ready-to-use DynamoDB GSI definition - `postgres_index_suggestions` — exact CREATE INDEX CONCURRENTLY SQL - `suggest_mongo_index` — exact db.collection.createIndex command - `mysql_index
amit-timalsina/pi-agent-go/llms.txt
Snapshot / resume ```go snap := a.Snapshot() // immutable copy of run state // persist `snap` (JSON, Postgres row, S3 object, whatever) a2, _ := agent.Restore(cfg, snap) // reconstruct after process restart for event, err := range
hjqcan/GoodMemory/llms.txt
SQLite by default and recall runs embedding-free out of the box; embedding providers, Postgres, and LLM extraction are opt-in. Release source: this source targets the GoodMemory 0.8.0 stable
Kevin-Liu-01/Loop/public/llms.txt
marketplace pricing, Stripe Connect payouts. ## Tech Stack Next.js, React, TypeScript, Tailwind CSS v4, Supabase (Postgres), Clerk (auth), Stripe (billing), Vercel AI SDK, Vercel Sandbox. ## APIs - /api/skills/{slug}/raw — Raw skill
skein-js/skein-js/llms.txt
from Express, Fastify, NestJS, or Next.js. Runs on your own infrastructure and your own Postgres, deployable anywhere you can run a container (Cloud Run, Railway, Fly.io, Render, AWS, Kubernetes
thevibeworks/claude-reads-hn/llms.txt
# Claude Reads HN > AI-curated HN digests every 5 hours. Check story IDs before
verivus-oss/llm-cli-gateway/site/llms.txt
jobs); `review_changes` and `validation_receipt` require a durable validation-run store (`sqlite` or `postgres`) - `list_models`, `provider_tool_capabilities`, `cli_versions`, `cli_upgrade`, `upstream_contracts`, `provider_subcommands_*`, `approval_list
get-dst/dst/docs/llms.txt
team uses (Claude, ChatGPT, Copilot, your own agents) and your data warehouse (Snowflake, BigQuery, Postgres, DuckDB). Callers ask in plain language; dst answers from definitions your team wrote, with
datacharter/datacharter/docs/llms.txt
DuckDB. One local SQL > workspace over your files and databases (CSV, Parquet, JSON, Excel, Postgres, > MySQL, SQLite, SQL Server, Snowflake, BigQuery, Iceberg, Delta), with governed, > read-only, PII-masked access
e-t-y-b/etyb-skills/llms.txt
Cache Components, Fluid Compute, AI SDK, AI Gateway, Vercel Sandbox | | Supabase | [/stacks/supabase/](/stacks/supabase/) | Postgres + RLS, Supabase Auth, Edge Functions, Realtime, pgvector, Supavisor | | Firebase | [/stacks/firebase/](/stacks/firebase/) | Firebase Auth, Firestore + multi-database
abhinavg6/yutha/docs/llms.txt
creating a SwarmAnchor, wiring the AnchorDriver into the control plane. - [Deployment](https://yutha.ai/operator/deployment/): Postgres backend, scaling, single-tenant defaults, self-hosted vs. verifiable-backend. ## Developer guide - [Developer guide overview
Arun-kc/schemabrain/docs/llms.txt
evident — by architecture, not by trust. SchemaBrain sits between LLM-powered agents and production Postgres, exposing 12 Pydantic-typed MCP tools (no `execute_query`, no `run_sql`, no path from
idemkit/idemkit/llms.txt
middleware, a queue consumer, and an `@idempotent` decorator) on five backends (in-memory, Redis, Postgres, MongoDB, DynamoDB). It is effectively-once, not exactly-once, and documents exactly when a side
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.