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.
timbrsllms.txttimbrs/amneziawg-mikrotik-c/docs/llms.txt
не отправляет ключи. Документация есть на русском и английском, разделы совпадают. Key facts (docs reviewed 2026-10-29, awg-proxy 1.4.4): - RouterOS 7.4+ with the `container` package (7.18+: System → Packages
SponsioLabsPipes a download into a shellllms.txtSponsioLabs/Sponsio/llms-full.txt
prompt into your coding agent, or run the CLI yourself. **Paste into Claude Code / Codex / Cursor.** The agent walks the full onboarding flow: **Or run the CLI yourself**: ```bash
jamditisllms.txtjamditis/claude-skills-journalism/docs/llms.txt
agents, independent tasks across 2+ agents - executing-plans, run a written implementation plan - requesting-code-review, verify completed work before merging - receiving-code-review, handle review feedback effectively - verification-before
LerianStudioReads credentialsllms.txtLerianStudio/midaz/llms-full.txt
# Lerian Midaz — Full Reference > Source-available (Elastic License 2.0) core banking platform in a
Nayjestllms.txtNayjest/Gito/llms.txt
Gito: AI Code Reviewer > Gito is an open-source (MIT) AI code reviewer that works with any large language model provider. It reviews GitHub/GitLab pull requests and local git changes
alexanderwanyoikellms.txtalexanderwanyoike/the0/docs/llms.txt
/custom-bot-development/bot-types): Scheduled vs realtime - [Testing](/custom-bot-development/testing): Testing strategies - [Deployment](/custom-bot-development/deployment): Deployment process - [Compliance](/custom-bot-development/compliance): Code review requirements - [Recipes](/recipes/): In-depth walkthroughs of complete bots - [Macro Event Guard](/recipes/macro-event-guard): Build
hardisgroupcomllms.txthardisgroupcom/sfdx-hardis/docs/llms.txt
sfdx-hardis CI/CD project lives, how to edit it from VS Code, and the main options to review after the setup - [Configure overwrite management on a Salesforce CI/CD Project
SentryReads credentialsllms.txtgetsentry/warden/packages/docs/public/llms.txt
what to look for. Warden includes `security-review` for baseline AppSec coverage, `code-review` for correctness bugs, and `integrity-review` for destructive, concealed, or trigger-gated changes. Treat them
browser-useReads credentialsllms.txtbrowser-use/bux/docs/llms-full.txt
browser. Repository: https://github.com/browser-use/bux Public site: https://browser-use.github.io/bux/ ## What Bux Provides - Claude Code logged in and always available. - Telegram control through a private bot. - A persistent Chromium session
aallanReads credentialsllms.txtaallan/vera/docs/llms-full.txt
# Vera — Language Reference Documentation > Vera is a statically typed, purely functional programming language designed
1mancompanyllms.txt1mancompany/OneManCompany/docs/llms.txt
cost tracking - **1-on-1 Coaching**: Shape employee behavior through direct guidance - **File Approval**: Review and approve employee file changes ## Documentation - Full docs: https://1mancompany.github.io/OneManCompany/docs/ - Getting started: https://1mancompany.github.io
xixihhhhllms.txtxixihhhh/hotclip/docs/llms.txt
dynamic word-level captions, filler-word/silence removal, speaker diarization, speaker-filtered transcript review, and explicit model-picker controls. No credit system, no watermark, no uploads, no sign
kydlikebtcllms.txtkydlikebtc/awesome-grokbot/llms.txt
attribution), first_seen, checked, link_status, license. ## Categories coding-shipping (43) — write code, review PRs, babysit coding agents, keep the box healthy inbox-calendar (20) — triage mail, draft replies, defend
neoneyeReads credentialsllms.txtneoneye/PlanExe/public/llms.txt
governance structure, SWOT analysis, team role profiles, simulated expert criticism, work breakdown structure, plan review (critical issues, KPIs, financial strategy, automation opportunities), Q&A, premortem with failure scenarios, self-audit
ffrolivallms.txtffroliva/gflow-cli/llms.txt
/ffroliva/gflow-cli/blob/main/docs/USAGE.md): Command-by-command reference, including `gflow credits user|list`, manifest format, and exit codes. - [Architecture](https://github.com/ffroliva/gflow-cli/blob/main/docs/ARCHITECTURE.md): Provider abstraction, ui_automation transport, RFC 9457 error model. - [Authentication
timwuhaotianllms.txttimwuhaotian/the-pair/llms.txt
code, runs commands, and verifies the result. The main value is cross-validated AI code review. Instead of asking one model to write and self-review, The Pair separates planning
AGIHuntPipes a download into a shellllms.txtAGIHunt/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
griddynamicsPipes a download into a shellllms.txtgriddynamics/rosetta/llms-full.txt
breaking stable; instant rollback. AI behavior authored in markdown, git-versioned, PR-reviewed, approved (rules-as-code). ================================================================================ 5 · DESIGN PRINCIPLES / MENTAL MODEL ================================================================================ - Agent-agnostic never lock to one IDE/model; adopt
mindroom-aiReads credentialsllms.txtmindroom-ai/mindroom/skills/mindroom-docs/references/llms-full.txt
# MindRoom > AI agents that know you and your work, in a chat app anyone
daymoniollms.txtdaymonio/daymon/docs/llms-full.txt
Staff) — Proactive business ops 2. Sage (Researcher) — Deep research with strong opinions 3. Lux (Code Reviewer) — Catches what linters miss 4. Nova (Writer) — Sharp writing, cuts fluff 5. Iris (Email
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.
