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.
emiliaprotocolllms.txtemiliaprotocol/emilia-protocol/public/llms-full.txt
expiry, delegation, and exception rules. An agent may work unattended inside the mandate; local code may narrow it but cannot invent or widen authority. Missing, stale, exhausted, indeterminate, or wider
ankimcpPipes a download into a shellllms.txtankimcp/anki-mcp-server/llms-full.txt
# Model Context Protocol Source: https://modelcontextprotocol.io/about/index The open protocol that connects AI applications
codexstar69llms.txtcodexstar69/bug-hunter/llms-full.txt
Hunter is a measurable, precision-first skill for AI coding agents. It combines deterministic scoping with adversarial model review, exact source integrity, bounded retrieval, optional hybrid verification, and explicit mutation
codexstar69llms.txtcodexstar69/bug-hunter/llms.txt
call out every manual-review or unreviewed item. ``` The `bug-hunter` terminal command installs and verifies the skill. Scans are requested inside the coding agent. There is no `bug-hunter
bnb-chainReads credentialsllms.txtbnb-chain/bnb-chain.github.io/docs/llms-full.txt
## JSON-RPC-Endpoint > Source: https://docs.bnbchain.org/bnb-smart-chain/developers/json_rpc/json-rpc-endpoint/ --- title: JSON-RPC-Endpoint - BSC Develop --- # JSON
EvolutionAPIPipes a download into a shellllms.txtEvolutionAPI/evo-nexus/docs/llms-full.txt
structured dev workflow with separation of concerns (planner ≠ executor ≠ reviewer ≠ verifier) - You want code review, security audits, and verification as first-class agents - You want autonomous end-to-end execution
oxbshwReads credentialsllms.txtoxbshw/LLM-Agents-Ecosystem-Handbook/llms-full.txt
coding_agents/safe_refactoring.md), [coding_agents/review_checklist.md](coding_agents/review_checklist.md) - [coding_agents/prompts/](coding_agents/prompts/): repo_audit, modernization, feature_implementation, bugfix, provider_expansion, docs_update, release_review ## Design docs (NEW in 1.0.1) - [design_docs/README.md](design
oxbshwllms.txtoxbshw/LLM-Agents-Ecosystem-Handbook/llms.txt
coding_agents/safe_refactoring.md), [coding_agents/review_checklist.md](coding_agents/review_checklist.md) - [coding_agents/prompts/](coding_agents/prompts/): repo audit, modernization, feature, bugfix, provider expansion, docs update, release review ## Design docs - [design_docs/README.md](design_docs/README.md) - [design_docs/agent_design_doc.md](design
karanb192llms.txtkaranb192/awesome-claude-code-mods/docs/llms.txt
installation prompts, then run `/reload-plugins` before asking “Find a mod that helps with code reviews”. It requires Node 18 or later. For Desktop Code local sessions, follow the terminal installation
Kevin-Liu-01llms.txtKevin-Liu-01/Claude-of-Tanks/public/llms-full.txt
driven effects. Published screenshots and videos are in-engine captures used for presentation and review; they do not replace runtime or test evidence for a technical claim. ## Source hierarchy
Kevin-Liu-01llms.txtKevin-Liu-01/Claude-of-Tanks/public/llms.txt
cot.kevinliu.studio/docs/multiplayer): How to play Claude of Tanks with friends: private rooms by code or invite link, the local network, seats and team sizes, the modes a room plays
liliang-cnReads credentialsllms.txtliliang-cn/cortexdb/docs/llms-full.txt
cortexdb.KnowledgeMemoryRecallRequest{Query: "what does Alice prefer?", UserID: "alice"}) fmt.Println(rec.ContextPack.Text) ``` The plugin gives Claude Code and Codex one global brain at `~/.cortexdb/cortexdb.db`, `/remember`, `/recall` and an auto-recall hook
saltbollms.txtsaltbo/agent-kanban/public/llms-full.txt
assigned to a Realmroot Agent actor 3. In Progress after claim 4. In Review after submission 5. Done after a different verified actor accepts it, or In Progress after that
Fangx-AIllms.txtFangx-AI/geo-doctor/llms.txt
licensed code; it does not promise rankings. GEO 医生是一个开源的中英双语 GEO（生成式引擎优化）技能：装进 Claude Code、Codex、WorkBuddy 等 AI 助手后，说"帮我做 GEO"，它按"问诊 → 体检 → 事实卡 → 问题集 → 采样 → 诊断
cristicretuReads credentialsllms.txtcristicretu/diri/website/llms-full.txt
diri.sh/docs/ # Diri documentation > How to install diri, run coding agents side by side, keep their work apart, review it, and let agents start and coordinate other agents over
cristicretullms.txtcristicretu/diri/website/llms.txt
worktree, with live status, alerts when it needs you, and review in one place. - [Run Kilo Code in parallel](https://diri.sh/agents/kilo.md): Run several Kilo Code sessions side by side
jhljxllms.txtjhljx/RecSys-Industrial-Book/llms.txt
Explore chapter maps and concept prerequisites, then generate self-evaluations. * Practice industrial recommendation design, code review, debugging, and runnable templates. Start with [docs/agent-guide.md](docs/agent-guide.md), [AGENTS.md](AGENTS.md), or run `python3 tools/recsys_agent.py
juyterman1000llms.txtjuyterman1000/entroly/docs/llms.txt
evident receipts, and opt-in content-addressed reuse of unchanged graph analyses. - [39-dimension code-intelligence conformance protocol](https://github.com/juyterman1000/entroly/blob/main/benchmarks/CODE_INTELLIGENCE_CONFORMANCE.md): Structural correctness, typed dispatch, repository understanding, freshness, LSP, architecture
hamzaferllms.txthamzafer/claude-code-mods/site/llms.txt
review-watch](https://hamzafer.github.io/claude-code-mods/mods/review-watch/): A live line above the prompt for each running code review: Codex or a review subagent, its model, what it reviews, time, and Codex
Azure-SamplesReads credentialsllms.txtAzure-Samples/azure-ai-travel-agents/llms.txt
important context. It is designed to be easily consumable by AI systems for analysis, code review, or other automated processes. ## File Format The content is organized as follows: 1. This
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.
