shunt / wiki
pleaseai/shunt/wiki/llms-full.txt
# shunt full documentation ## Overview Configuration exists to keep shunt generic: new upstreams are provider
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.
pleaseai/shunt/wiki/llms-full.txt
# shunt full documentation ## Overview Configuration exists to keep shunt generic: new upstreams are provider
Keesan12/martin-loop/llms-full.txt
does not claim to replace Git, GitHub, CI/CD, dedicated security scanners, observability platforms, human code review, or all testing infrastructure. It can connect work that uses those systems into
Keesan12/martin-loop/llms.txt
needs to work across multiple coding agents or hosts - non-engineers need a clearer path from product intent to software work that can be reviewed and trusted Technical controls such
timwuhaotian/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
griddynamics/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
daymonio/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
daymonio/daymon/docs/llms.txt
search. - **Workers**: Named agent personalities with system prompts. 9 templates (Chief of Staff, Researcher, Code Reviewer, Writer, Email Assistant, Tech Trend Analyst, Competitor Tracker, DevOps, Data Analyst) or create your
ZeKaiNie/universal-examprep-skill/llms.txt
GitHub Copilot and 40+ agents): `npx skills add ZeKaiNie/universal-examprep-skill`, then `pip install pypdfium2`. - Claude Code plugin: `/plugin marketplace add ZeKaiNie/universal-examprep-skill`, then `/plugin install universal-exam-cram-coach@exam-cram-coach
mindroom-ai/mindroom/skills/mindroom-docs/references/llms-full.txt
# MindRoom > AI agents that know you and your work, in a chat app anyone
gameworkerkim/vibe-investing/01.Trading Strategy/llms.txt
estimates, not statistical-model outputs. All crypto trading-bot code is a research prototype requiring testnet validation and legal review before live use. - Korea residents face foreign-stock capital-gains
gameworkerkim/vibe-investing/llms.txt
selling, inverse/leveraged products can converge to total loss. Crypto bot code is research prototype only — testnet validation and legal review required before live deployment. Investment and legal-risk responsibility rests
gameworkerkim/vibe-investing/TechDoc/llms.txt
context management. - [Quivr Guide](LLM/Quivr_guide.md) | Open-source second brain / knowledge management with LLMs. - [Open Code Review Guide](LLM/Open%20code%20review%20guide.md) | AI coding CLI tool review: DeepSeek V4 Pro integration
ffroliva/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
SirAllap/agentglass/landing/llms.txt
machine holds the terminals (real tmux panes), the agents — Claude Code, Codex, Gemini CLI, OpenCode — their pull requests and reviews, the diffs they write, git and Docker, a browser they
base/docs/docs/llms-full.txt
# Base Documentation — Full Context > Full context for AI agents building on Base, the blockchain
raysonmeng/agent-bridge/site/llms.txt
largely built by Claude Code and Codex collaborating through it — the very tool they were building together. Every PR written by one agent was reviewed by the other, with
zapier/gtm-cheat-codes/llms.txt
agent skills Zapier GTM teams use to turn scattered context into reviewable work products. This repository helps coding agents understand and use GTM workflows with Zapier MCP and Zapier
rixinhahaha/snip/site/llms.txt
user's screenshot library - `snip transcribe ` — extract text from an image via OCR All review commands block until the user finishes and return JSON: `{ status, edited, path, text }`. ## Resources - [README
claude-did-this/MCPControl/docs/llms-full.txt
from the community! Please review our [contributing guidelines](https://github.com/modelcontextprotocol/.github/blob/main/CONTRIBUTING.md) for details on how to submit changes. All contributors must adhere to our [Code of Conduct](https://github.com/modelcontextprotocol/.github/blob/main/CODE_OF_CONDUCT.md).
SveltyCMS/SveltyCMS/static/llms.txt
self-hosted CMS. Editors use the admin. Other applications call REST or GraphQL. Server code inside this project calls LocalCMS. Collections run on SQLite, PostgreSQL, MariaDB, or MongoDB. The stack
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.