raysense / site
RayforceDB/raysense/site/llms.txt
edited repositories. When agents commit dozens of changes per hour, per-diff code review cannot track whether the codebase shape is improving or degrading. Raysense closes that gap with
How real projects summarise themselves for language models.
RayforceDB/raysense/site/llms.txt
edited repositories. When agents commit dozens of changes per hour, per-diff code review cannot track whether the codebase shape is improving or degrading. Raysense closes that gap with
vivekchand/flywheel.md/llms-full.txt
build, release, and evolve. Why now: when agents write the code, coding stops being the bottleneck. Verification, review, and ownership become it, and the processes built to protect scarce engineering
event4u-app/agent-config/llms.txt
holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review. agent-docs-writing: Use when reading, creating, or updating agent documentation, module docs
Rul1an/assay/llms.txt
Assay > Policy-as-code for MCP agents: a deterministic, fail-closed gate for MCP tool calls, with kernel-level (eBPF/LSM) enforcement on Linux and offline-verifiable evidence bundles. CI-native
sanhuang520-ship-it/awesome-chinese-ai-tools/llms.txt
Chinese Agent Skills / Chinese AI Skills guide](https://sanhuang520-ship-it.github.io/awesome-chinese-ai-tools/chinese-agent-skills/): English path to browse, install, review, reproduce and contribute with explicit evidence boundaries - [Codex 兼容性实测](https://sanhuang520-ship-it.github.io/awesome-chinese-ai-tools/compatibility/): 13 个原创 Skill
khasky/awesome-agent-skills/llms.txt
Awesome Agent Skills > Skills for AI coding agents in the Agent Skills (agentskills.io) format: code review, debugging, security audits, refactoring, and cleaning up AI-written code and text. Each skill
zhurong2020/pyobfus/docs/llms.txt
runtime anti-debug cannot switch it off. Informational only, does not change the exit code - `pyobfus --init src/` — auto-detect framework and generate `pyobfus.yaml` - `pyobfus --unmap --trace error.log --mapping mapping.json
zhurong2020/pyobfus/llms-full.txt
deterrent, not cryptographic. - `eval()` / `exec()` with obfuscated code may need manual exclusions. - Debugging obfuscated code without a mapping.json is intentionally harder; keep mapping files for any build you might need
AbdumajidRashidov/mycop/docs/llms.txt
started via `mycop mcp` - Enables Claude Code, Cursor, Windsurf, Codex CLI, Gemini CLI, and other agentic tools to call mycop's scanning and review capabilities directly - 5 tools: scan, list
abhinavg6/yutha/docs/llms.txt
yutha.ai/examples/customer-support/): classifier + L1 + L2 escalation, supervisor-required for refunds above a threshold. - [Code review crew with security boundaries](https://yutha.ai/examples/code-review/): reviewer + auto-fix agents with capability gates around
aiapplications001-art/seo-page-creator-agent/llms.txt
product category pages. It is designed for agentic coding tools and AI-assisted content operations that need source-backed, editorially reviewable SEO assets rather than generic AI drafts. Core outputs
AliOsm/pastehtml.dev/public/llms.txt
OAuth in the user's browser -- there is no pht_ key to handle. # Claude Code claude mcp add --transport http pastehtml https://pastehtml.dev/mcp # Codex codex mcp add pastehtml
answerLoops/answerLoops/public/llms.txt
content, and Notion pages; promote reviewed ticket resolutions. Notion content is initially unpublished. - **Answer review:** a separate AI assessment and configurable automatic-reply settings. Confidence scores do not guarantee correctness
ArcticFox2029/chamnan/llms.txt
anything unrecognised still works and `--window` takes an exact number. - **Agents**: 22 adapters. Claude Code and Gemini CLI receive a real session hook; every other agent receives a file
babarmuhammad/archeus/docs/llms.txt
/getting-started/): what archeus is, the three surfaces it offers (terminal UI, desktop app, Claude Code plugin), and where to go next. - [Installation](https://docs.claudectl.space/installation/): requirements, pipx/pip, running from
berkayturanci/voicebridge/site/llms.txt
agent: works with Claude Code, Codex, Antigravity, Ollama, Aider, and Gemini CLI - Full-duplex WebSocket live sync: multi-device synchronization over `/ws` - Interactive tool approvals: review shell commands and tool
D4umak/linkedin-outreach-mcp/llms-full.txt
Cursor (manual) Settings > MCP > "Add new MCP server" > Name: `heylead`, Command: `uvx heylead` ### Claude Code ``` claude mcp add heylead -- uvx heylead ``` ### Any MCP client (manual) ```json { "heylead": { "command": "uvx", "args
dgenio/contextweaver/llms.txt
building a complete agent loop - [Error Reference](docs/errors.md): Exception hierarchy with stable error codes, causes, and fixes ## Agent Context - [Agent Architecture](docs/agent-context/architecture.md): Non-obvious architectural guidance, design tradeoffs, and async/sync
gauravs19/enterprise-architecture-skill/llms.txt
evals. - Related project by the same author: **spring-boot-microservices** (a Claude Code skill for building and reviewing Spring Boot microservices
hermes-labs-ai/hermeneutic/llms.txt
Python 3.10+ toolkit for three distinct jobs: 1. mine correction triples from supported Claude Code, Codex, and OpenAI-style chat logs; 2. optionally retrieve similar prior corrections with a local
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.