h5i
h5i-dev/h5i/docs/llms.txt
Lean 4. It includes optional GPU acceleration and development infrastructure for red-teaming, CI/CD testing, sandboxed workflows, and a local dashboard. > > h5i-app keeps application decisions in composable Rust kernels
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.
h5i-dev/h5i/docs/llms.txt
Lean 4. It includes optional GPU acceleration and development infrastructure for red-teaming, CI/CD testing, sandboxed workflows, and a local dashboard. > > h5i-app keeps application decisions in composable Rust kernels
hackclub/hcb/public/llms.txt
PostgreSQL, Stripe, Column, and Twilio. - [Developer documentation](https://github.com/hackclub/hcb/tree/main/dev-docs): Setup instructions, code style, testing, OAuth flows, and contribution guidelines. Supports GitHub Codespaces, Docker, and native development
sbi-dev/sbi/docs/llms.txt
/en/latest/how_to_guide/17_tarp.html): Calibration without density evaluation - [L-C2ST](https://sbi.readthedocs.io/en/latest/how_to_guide/13_diagnostics_lc2st.html): Per-observation local coverage test - [Model Misspecification](https://sbi.readthedocs.io/en/latest/how_to_guide/18_model_misspecification.html): Detecting if x_o is outside simulator range ## Advanced Topics
cryxnet/DeepMCPAgent/llms-full.txt
/path/to/dir", ), } ``` --- ## Memory — 3 Providers ```python from promptise.memory import InMemoryProvider, ChromaProvider, Mem0Provider # Testing / prototyping memory = InMemoryProvider(max_entries=200) # Persistent local vector search memory = ChromaProvider(persist_directory="./memory", collection_name="agent
cryxnet/DeepMCPAgent/llms.txt
assembled paths), **MCP Server SDK** (FastAPI-style production servers with auth, middleware, queues, versioning, testing), **Agent Runtime** (the operating system for autonomous agents — triggers, journals, governance, secrets, meta-tools, REST
santifer/cv-santiago/public/llms.txt
Multiple sessions to drive efficiency and co-develop business workflows. ### Everis/NTT DATA (2007-2009) - Test Coordinator & Software Analyst Coordinated multi-vendor healthcare product testing: managed functional test suites
duriantaco/skylos/llms-full.txt
Claude Code, Codex, Cursor) and want to know whether the change is really finished: tests still run and pass, and none were deleted, skipped or weakened - You want framework-aware
duriantaco/skylos/llms.txt
GitHub Action. - AI coding agents: `skylos done --base main` flags deleted or skipped tests, loosened CI test steps, silenced lint or type checks, and test-only special cases, and advises
omar-dulaimi/prisma-zod-generator/llms.txt
omar-dulaimi.github.io/prisma-zod-generator/docs/features/performance - Data Factories: https://omar-dulaimi.github.io/prisma-zod-generator/docs/features/factories - Drift Guard: https://omar-dulaimi.github.io/prisma-zod-generator/docs/features/guard - Contract Testing Pack: https://omar-dulaimi.github.io/prisma-zod-generator/docs/features/contracts - Server Actions Pack: https://omar-dulaimi.github.io/prisma-zod-generator/docs/features/server-actions - Usage Patterns: https://omar-dulaimi.github.io/prisma-zod-generator/docs/usage-patterns - Performance
rennf93/fastapi-guard/docs/llms.txt
Optional distributed state (redis-py) - **HTTPx**: Async HTTP client - **MaxMindDB**: IP geolocation data - **Pytest**: Testing framework ## Integration Patterns ### Middleware (Global) Apply security to all routes automatically via middleware. ### Decorators (Route
microsoft/lage/llms.txt
primary tool developed here. It's designed to efficiently run tasks (like building, testing, linting) across the packages in the monorepo, understanding the dependencies between them. Key configuration files
datoviz/datoviz/llms.txt
datoviz.org/contributors/example-selection-by-capability/ - AI agents: https://datoviz.org/contributors/ai-agents/ - Adding examples: https://datoviz.org/contributors/adding-examples/ - Build and test: https://datoviz.org/contributors/build-and-test/ ## Reference - Feature status: https://datoviz.org/reference/feature-status/ - C API: https://datoviz.org/reference/c-api/
bioMate-AI/biomate-bioconductor-kb/llms.txt
qvalue](skills/general/qvalue/SKILL.md): This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values
sstklen/trump-code/public/llms-full.txt
articles ## Key Statistics - Posts analyzed: 7,400+ (from 2025-01-20 onwards) - Model combinations tested: 31.5 million - Surviving rules: 551 (passed train/test validation) - Overall hit rate: 61.3% (z=5.39, statistically
sstklen/trump-code/public/llms.txt
Truth Social posts from Trump's second term (2025-01-20 onwards), testing 31.5 million prediction model combinations. 551 rules survived train/test validation with a 61.3% hit rate
btwld/mix/llms.txt
examples](https://raw.githubusercontent.com/btwld/mix/main/skills/mix/references/examples.md): End-to-end examples for reusable components and responsive styles. - [Testing reference](https://raw.githubusercontent.com/btwld/mix/main/skills/mix/references/testing.md): Mix matchers, mock context, merge tests, widget tests, and generated
berops/claudie/docs/llms-full.txt
Management Cluster_, which it uses to manage the clusters it provisions. For testing, you can use ephemeral clusters like Minikube or Kind. However, for production environments, we recommend using
cloudflare/chanfana/llms.txt
help AI tools understand the library: - `AGENTS.md` — Comprehensive development guide: architecture, patterns, migration notes, testing - `skills/write-endpoints/SKILL.md` — Step-by-step coding skill for building endpoints with chanfana - `docs/` — Full user documentation
HelpCode-ai/anythingmcp/llms-full.txt
reload npm run dev:frontend # Terminal 2 — Next.js with Turbopack ``` ### Useful Commands ```bash npm test # Run all tests cd packages/backend && npm test # Backend tests only cd packages/backend && npx prisma studio
HelpCode-ai/anythingmcp/llms.txt
server of the workspace... ## Contributing - [Contributing to AnythingMCP](https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/.github/CONTRIBUTING.md): Set up development, test changes, and submit a contribution. - [Agent instructions](https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/AGENTS.md): Repository instructions, setup commands, tests
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.