How real projects summarise themselves for language models.
jcoelho93llms.txtjcoelho93/personal-website/public/llms-full.txt
through SLI/SLO, incident management, and postmortem culture - **CI/CD**: Building robust pipelines for continuous integration, testing, and delivery - **Python**: Automating workflows and building internal tools with Python - **Monitoring**: Instrumenting systems with
alfadur7llms.txtalfadur7/llm-wiki-newsroom/docs/llms.txt
reproducible example (the debate over what "open source" means for AI), not a battle-tested product; the writer-reviewer split and the self-evolving loop are framed as hypotheses
YosefHayimllms.txtYosefHayim/ebay-mcp/llms.txt
Community standards ## Build and Contribution - [CONTRIBUTING.md](https://github.com/YosefHayim/ebay-mcp/blob/main/CONTRIBUTING.md): How to add tools, run tests, and open PRs - [CODE-STYLE.md](https://github.com/YosefHayim/ebay-mcp/blob/main/CODE-STYLE.md): TypeScript, Effect, schema, TSDoc, file naming, and endpoint
ihuzaifashoukatllms.txtihuzaifashoukat/x-use/llms.txt
auto"` text and background automation. - Works with any MCP client that runs stdio servers. Tested against Claude Desktop, Claude Code, Cursor, and Windsurf. - Python 3.10 or newer, plus Chrome
paolobietolinillms.txtpaolobietolini/gtm-mcp-server/llms.txt
import_gallery_template` | Import a template from the Community Gallery | ### Utility | Tool | Purpose | |------|---------| | `ping` | Test connectivity to the server | | `auth_status` | Check authentication status | ## Prompts (Workflow Templates) These fetch workspace
oliver-zehentleitnerllms.txtoliver-zehentleitner/keep-the-why/llms.txt
what changed; Keep the Why preserves why it changed. Complements README, AGENTS.md, docs, CONTRIBUTING.md, tests, Keep a Changelog rather than replacing any of them — see "Where this fits
Dynatracellms.txtDynatrace/dynatrace-for-ai/llms.txt
analyzers — anomaly detection, novelty scoring, metric correlation. - dt-obs-ext-monitors: Ingest third-party test and monitor results into Grail via the platform events ingest API. - dt-obs-genai: GenAI
ppgrangerllms.txtppgranger/token-saver/docs/llms.txt
tool family) - [git](https://ppgranger.github.io/token-saver/processors/git/): status, diff, log, show, push/pull/fetch, branch, stash, blame. - [test_output](https://ppgranger.github.io/token-saver/processors/test_output/): pytest, jest, go test, cargo test and other test runners. - [lint
antropos17llms.txtantropos17/Aegis/llms-full.txt
CommonJS JavaScript in main, TypeScript in the renderer and shared types. Exact versions: package.json - **Tests**: Vitest; run `npm test` for current pass/skip and file counts - **License**: MIT - **Version**: 0.17.0-alpha
antropos17llms.txtantropos17/Aegis/llms.txt
CommonJS JavaScript in main, TypeScript in the renderer and shared types. Exact versions: package.json - **Tests**: Vitest; run `npm test` for current pass/skip and file counts - **License**: MIT - **Version**: 0.17.0-alpha
Lolner95llms.txtLolner95/AIGX/llms.txt
context > format known to be validated by a controlled benchmark: #1 of all formats tested on mean score, pass@1, > and hidden-test pass rate on both Claude Haiku
UiPathllms.txtUiPath/coder_eval/docs/llms.txt
agent, model vs. model, tool-on vs. tool-off, or prompt vs. prompt; test whether a skill triggers and catch regressions in CI; gate a build on coding-agent quality
KryptosAIllms.txtKryptosAI/mcp-observatory/llms.txt
unattended. ## Fast Commands ```bash npx -y @kryptosai/mcp-observatory@latest ``` ```bash npx -y @kryptosai/mcp-observatory@latest test npx -y @modelcontextprotocol/server-everything ``` ```bash npx -y @kryptosai/mcp-observatory@latest setup-ci --all --command "npx -y your
Alisa0808llms.txtAlisa0808/vibe-creating-skill/llms.txt
visualization, cinematic narrative, surreal/dreamcore, knowledge & physics, brand advertising, game & IP, and light entertainment. - [Worked test cases](docs/test-cases.md): eight input → judgment → action → output cases covering the decision framework. ## Project - [README (English
JasonColapietrollms.txtJasonColapietro/suede-creator-skills/docs/llms.txt
complexity. - [Suede AI Eval](https://skills.suedeai.ai/skills/suede-ai-eval.html): Design AI evaluation strategy, failure-mode rubrics, test cases, and acceptance gates. - [Suede Recommend Next Action](https://skills.suedeai.ai/skills/suede-recommend-next-action.html): Scores candidate moves
hidai25llms.txthidai25/eval-view/llms-full.txt
EvalView — Complete Documentation for AI Systems > Regression testing for AI agents. Snapshot behavior, detect regressions, block broken agents before production. ## Identity - Name: EvalView - Tagline: "Proof that your agent still works
hidai25llms.txthidai25/eval-view/llms.txt
EvalView > Regression testing for AI agents. Snapshot behavior, detect regressions, block broken agents before production. EvalView is an open-source testing and regression detection framework for AI agents. It sends
deepnoodle-aillms.txtdeepnoodle-ai/dive/llms.txt
Model: anthropic.New(), Tools: []dive.Tool{ toolkit.NewReadFileTool(), toolkit.NewTextEditorTool(), toolkit.NewBashTool(), }, }) response, _ := agent.CreateResponse(ctx, dive.WithInput("Fix the failing test")) fmt.Println(response.OutputText()) ``` ## Streaming events ```go agent.CreateResponse(ctx, dive.WithInput("Generate a report"), dive.WithEventCallback(func(ctx context.Context
poemswellms.txtpoemswe/co-researcher/llms-full.txt
sources explicitly - Output: structured review with search strategy, inclusion criteria, and gap map ### Hypothesis Testing (`/hypothesis`) Maps research questions to testable, falsifiable hypotheses. - Variable mapping: independent, dependent, mediating, moderating variables
poemswellms.txtpoemswe/co-researcher/llms.txt
data. This site is a live benchmark arena evaluating research agent performance across 22 test cases and 8 agent types. ## What Co-Researcher Does Co-Researcher provides specialized research skills
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.
