vinkius-labsReads credentialsllms.txtmcp-fusion
vinkius-labs/mcp-fusion/docs/llms.txt
# MCP Fusion > fusion is the TypeScript framework for production MCP servers. MVA architecture, structured
llms.txt examples
How real projects summarise themselves for language models.
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vinkius-labsReads credentialsllms.txt
FlorianBruniauxllms.txtclaude-cowork-guide
FlorianBruniaux/claude-cowork-guide/llms.txt
dashboards (beta) and animations (Motion, beta, Team and Enterprise) from any conversation - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Folder access, the built-in browser
FlorianBruniauxllms.txtclaude-cowork-guide / machine-readable
FlorianBruniaux/claude-cowork-guide/machine-readable/llms.txt
dashboards (beta) and animations (Motion, beta, Team and Enterprise) from any conversation - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Folder access, the built-in browser
KyaniteLabsllms.txtkinocut
KyaniteLabs/kinocut/docs/llms-full.txt
Creation: Hyperframes and local Revideo have separate runtime requirements. Custom executable scenes are trusted code. CPU/GPU availability alone does not prove encoder usability, decoded fidelity, portability or a fixed speedup
KyaniteLabsllms.txtkinocut
KyaniteLabs/kinocut/llms.txt
github.com/KyaniteLabs/kinocut/blob/master/docs/VIDEO_RECEIPT.md - Rescue: https://github.com/KyaniteLabs/kinocut/blob/master/docs/RESCUE.md - 360 assembly: https://github.com/KyaniteLabs/kinocut/blob/master/docs/360_ASSEMBLY.md - AI-video review (dev tip): https://github.com/KyaniteLabs/kinocut/blob/master/docs/AI_VIDEO_REVIEW_AND_SALVAGE.md - FAQ: https://github.com/KyaniteLabs/kinocut/blob/master/docs/faq.md - Agent skill: https://github.com/KyaniteLabs/kinocut/blob/master/skills/kinocut/SKILL.md - Changelog
oliver-zehentleitnerDeletes or force-pushesllms.txtkeep-the-why
oliver-zehentleitner/keep-the-why/llms.txt
framework already governs how the work gets done (brainstorming, planning, systematic debugging, TDD, code review), that workflow runs first; Keep the Why doesn't compete for that role, and preserves
joshuaswarrenReads credentialsllms.txtopenclaw-engram
joshuaswarren/openclaw-engram/llms.txt
deepSleep off by default. - Coding graph: code-symbol knowledge graph for coding agents. Verify any default in packages/remnic-core/src/config.ts or the openclaw.plugin.json configSchema before relying on it. ACCESS LAYER HTTP
KbWenllms.txtagentic-os
KbWen/agentic-os/llms.txt
agents. It gives agents — Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Google Antigravity, and any Markdown-reading LLM agent — a repeatable plan → build → review → test → ship workflow with quality gates
congminh1254llms.txtshopee-sdk
congminh1254/shopee-sdk/llms.txt
ESLint npm run format # Prettier ``` ### Code Quality Tools - **ESLint**: TypeScript-aware linting (`.eslintrc.json`) - **Prettier**: Code formatting (`.prettierrc`) - **Husky**: Git hooks for pre-commit checks - **Commitlint**: Conventional commit messages - **Jest**: Testing
jenticllms.txtjentic-one
jentic/jentic-one/llms.txt
only the operations it has been approved for, and asking for more is a reviewable request rather than a silent widening. - Leave a trail. Every brokered call is recorded
roy-tongllms.txtAgentMeasure
roy-tong/AgentMeasure/llms.txt
Free local checks for Codex / Claude Code logs and reproducible agent metering verification. Human-delivered diagnostics: $10 Healthcheck and $20 Metering QA. Last reviewed: 2026-10-15. ## Start here - [Website
Fangx-AIllms.txtgeo-doctor
Fangx-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
mihneaptullms.txtopencode-fusion / site
mihneaptu/opencode-fusion/site/llms.txt
them. Skills are discovered on demand; installing one needs no restart. 5. Cross-vendor review is emergent: pick main and sidekick from different model families. 6. Only the permission layer
dylanroscoverllms.txtEmbody / web
dylanroscover/Embody/web/llms-full.txt
bloom on the final output. ``` You're not getting a screenshot or a code snippet to paste. You're getting the **actual network**, in front of you, ready to play
garagonllms.txtnanostack
garagon/nanostack/llms.txt
work. Not a saved phase; the artifact appears on review. - /review: Two-pass code review (structural + adversarial). Detects scope drift against the plan and conflict-precedence against prior /security. - /security
nikolai-vysotskyiReads credentialsllms.txttrace-mcp
nikolai-vysotskyi/trace-mcp/docs/llms-full.txt
requires external binaries and complex backend choices. [trace-mcp vs CodeGraphContext](/vs/codegraphcontext.html) | | **Review graph** | [code-review-graph](https://github.com/code-review-graph/code-review-graph) | Tracks incremental changes with empty-result uncertainty explanations. | Specialised
nikolai-vysotskyillms.txttrace-mcp
nikolai-vysotskyi/trace-mcp/docs/llms.txt
calls return vs making structural questions about code cheap to ask. - [trace-mcp vs code-review-graph](https://trace-mcp.com/vs/code-review-graph.html): Head-to-head against the incremental SQLite graph peer — blast
wesmllms.txtmiddleman
wesm/middleman/docs/llms.txt
review, stacks, and merging - [Browse repositories](https://forge.kenn.io/docs/workflows/repositories.md): Repository source browser, refs, previews, and file history - [Work in local sessions](https://forge.kenn.io/docs/workflows/workspaces.md): Worktree workspaces, tmux sessions, and coding
AGIHuntPipes a download into a shellllms.txtblurt / site
AGIHunt/blurt/site/llms.txt
into items: issues with repro steps and the code most likely involved, ideas, notes and to-dos, each with a frame. Review with the keyboard (A keeps, X discards
tmseidelllms.txtai-git-bot
tmseidel/ai-git-bot/llms-full.txt
shared setup (workflow configurations, triggers, running workflows). - `doc/PR_WORKFLOWS_REVIEW.md`: the default always-on AI code review workflow. - `doc/PR_WORKFLOWS_AGENTIC_REVIEW.md`: deeper agentic PR review workflow. - `doc/PR_WORKFLOWS_UNIT_TEST.md`: AI unit-test workflow, supported toolchains, slash
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.