skills
microsoft/skills/docs/llms-full.txt
# Microsoft Foundry > Microsoft Foundry (formerly Azure AI Foundry) is a unified Azure platform-as
How real projects summarise themselves for language models.
microsoft/skills/docs/llms-full.txt
# Microsoft Foundry > Microsoft Foundry (formerly Azure AI Foundry) is a unified Azure platform-as
microsoft/skills/docs/llms.txt
# Microsoft Foundry > Microsoft Foundry (formerly Azure AI Foundry) is a unified Azure platform-as
patrickchugh/terravision/docs/llms-full.txt
each value the list of nodes it connects to or contains) or Terraform code. Output is PNG, SVG, PDF, DOT or editable draw.io. Runs locally, no cloud credentials. Prefer
patrickchugh/terravision/docs/llms.txt
each value the list of nodes it connects to or contains) or Terraform code. Output is PNG, SVG, PDF, DOT or editable draw.io. Runs locally, no cloud credentials. Prefer
LING71671/open-reverselab/docs/llms-full.txt
# ReverseLab — Full Knowledge Base Dump for LLM Ingestion Total articles: 183 Generated: 2026-08
LING71671/open-reverselab/docs/llms.txt
ling71671.github.io/open-reverselab/kb/ctf-website/10-cloud/k8s-rbac-attack-paths/) > - [Kubernetes & Container Escape](https://ling71671.github.io/open-reverselab/kb/ctf-website/10-cloud/kubernetes-container/) > - [Serverless / Lambda Attacks](https://ling71671.github.io/open-reverselab/kb/ctf-website/10-cloud/serverless-lambda/) > - [Terraform State and IaC Secret Exposure](https://ling71671.github.io/open-reverselab/kb/ctf-website/10-cloud/terraform-state-secrets/) > - [Valkey RESP Protocol Pre-Auth Assertion Failure
hoangsonww/Claude-Code-Agent-Monitor/llms.txt
raw.githubusercontent.com/hoangsonww/Claude-Code-Agent-Monitor/master/docs/DEPLOYMENT.md): Additional deployment documentation. - [deployments/README.md](https://raw.githubusercontent.com/hoangsonww/Claude-Code-Agent-Monitor/master/deployments/README.md): Deployment assets index (e.g. Kubernetes, Terraform paths). - [vscode-extension/README.md](https://raw.githubusercontent.com/hoangsonww/Claude-Code-Agent-Monitor/master/vscode-extension/README.md): VS Code extension behavior and packaging. ## Optional - [README-CN.md
agentic-community/mcp-gateway-registry/docs/llms.txt
src/pages/` (UI pages) | | `servers/` | **Example MCP Servers** - Reference implementations | `currenttime/`, `mcpgw/` (MCP Gateway server) | | `terraform/` | **Infrastructure as Code** - AWS deployment automation | `aws-ecs/` (ECS Fargate), `modules/` (reusable modules) | | `tests/` | **Test
borghei/Claude-Skills/site/llms.txt
borghei.github.io/Claude-Skills/skills/engineering/senior-cloud-architect.html): Use when the user asks to "design cloud architecture", "set up Terraform infrastructure", "optimize cloud costs",... - [Senior Computer Vision](https://borghei.github.io/Claude-Skills/skills/engineering/senior-computer-vision.html): Computer vision engineering for object detection
manojmallick/sigmap/llms-full.txt
markdown, php, pipeline, properties, protobuf, python, r, ruby, rust, scala, shell, sql, svelte, swift, terraform, toml, typescript, typescript_react, vue_sfc, xml, yaml --- ## Integrations Generates native context files for: claude
mixpeek/amux/site/llms.txt
copy-paste CLAUDE.md configs for Python APIs, React apps, Go services, monorepos, data pipelines, Terraform, mobile apps, CLI tools. Filterable gallery with explanations. - [Getting Started with amux](https://amux.io/guides/getting-started/):
jentic/jentic-one/llms.txt
inspect`, `execute`. - [Build & deploy architecture](https://raw.githubusercontent.com/jentic/jentic-one/refs/heads/main/deploy/README.md): how the images, Helm charts and Terraform layouts are built — one image, runtime surfaces, digest pins, multi-arch. - [AWS Marketplace install
nikolai-vysotskyi/trace-mcp/docs/llms-full.txt
--- # Front matter only so Jekyll renders the {{ site.data.counts.* }} tags below # (TRA-263). Stripped from
softspark/ai-toolkit/llms-full.txt
exception, traceback, bug, failure, root cause. - **devops-implementer**: Infrastructure implementation expert. Use for writing Terraform, Ansible, Docker, and shell scripts based on approved architecture notes and implementation summaries. Triggers: terraform
jcoelho93/personal-website/public/llms-full.txt
Solutions Architect Associate](https://www.credly.com/badges/263d35c5-83db-4f93-97a4-a84ee806da90/public_url) — Amazon Web Services Training and Certification - [HashiCorp Certified: Terraform Associate](https://www.credly.com/badges/b5c9ee11-de03-482b-8b74-71c4eba299cf/public_url) — HashiCorp - [Certified Kubernetes Application Developer](https://www.credly.com/badges/3b4c4056-b736-4a9b-bcad-5a8457ef72e1/public_url) — The Linux Foundation
ppgranger/token-saver/docs/llms.txt
Code > and Antigravity CLI plugin that intercepts verbose CLI command output > (git, pytest, npm, terraform, kubectl, docker, and more) and compresses it > deterministically before it reaches the model, using
sinewaveai/agent-security-scanner-mcp/llms.txt
editing any code file. Supports JS, TS, Python, Java, Go, PHP, Ruby, C/C++, Dockerfile, Terraform, Kubernetes. Accepts optional output_format: 'sarif' for CI integration. - fix_security: Auto-fix all detected
EliasOulkadi/shokunin/llms.txt
docs/MCP-API.md): Memory server API documentation - [Changelog](CHANGELOG.md): Version history ## Skill Categories - **Infrastructure**: docker, kubernetes, terraform, ci-cd, db-admin - **Backend**: api-forge, auth-architect, db-sculptor, error-handler - **Frontend**: component
EliasOulkadi/shokunin/.pack/llms.txt
/EliasOulkadi/shokunin/blob/main/docs/MCP-API.md): Memory server API documentation - [Changelog](CHANGELOG.md): Version history ## Skill Categories - **Infrastructure**: docker, kubernetes, terraform, ci-cd, db-admin - **Backend**: api-forge, auth-architect, db-sculptor, error-handler - **Frontend**: component
magnus919/agent-skills/llms.txt
# agent-skills ## Skills - [actuarial-risk-modeling](actuarial-risk-modeling/SKILL.md): Use when analyzing, selecting
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.