kagan-legacy
kagan-sh/kagan-legacy/docs/llms.txt
Kagan Documentation > Documentation for Kagan: a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval
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.
kagan-sh/kagan-legacy/docs/llms.txt
Kagan Documentation > Documentation for Kagan: a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval
hogancv/coordinate-agents/docs/llms.txt
Coordinate Agents > Local Web Workspace for coding-agent terminal pairs. Default Collaboration > uses Codex to clarify, delegate and review, and Antigravity to implement. > Custom Terminals supports two user-selected
jangtrinh/design-os-3d-blender/docs/llms.txt
graded reviews in interactive Three.js 3D viewers. ## Model Context Protocol (MCP) Server `design-os-3d-blender` exposes a certified First-Party Model Context Protocol server for AI coding agents (Claude
jangtrinh/design-os-3d-blender/llms.txt
graded reviews in interactive Three.js 3D viewers. ## Model Context Protocol (MCP) Server `design-os-3d-blender` exposes a certified First-Party Model Context Protocol server for AI coding agents (Claude
Umair/stalemap/site/llms-full.txt
were written by an author who never saw stalemap's code, notes or results. A second, equally blind reviewer checked every task and applied the pilot rule. - The build
Umair/stalemap/site/llms.txt
registry and GitHub. Source code is scanned locally and never uploaded. - **Install for Claude Code:** `/plugin marketplace add Umair/stalemap` then `/plugin install stalemap@stalemap`. Other agents: `npx stalemap setup --agent
Apra-Labs/apra-fleet/llms-full.txt
built by the product you are looking at.** An > autonomous apra-fleet workflow plans, codes, reviews, tests, and ships > this codebase in multi-hour sprints -- filing bugs against itself
Apra-Labs/apra-fleet/llms.txt
doer-reviewer loop. - [Troubleshooting](docs/troubleshooting.md): Common symptoms and fixes. ## Project - [Roadmap](ROADMAP.md): What is planned next for Apra Fleet. - [Contributing](CONTRIBUTING.md): How to contribute code, docs, and skills. ## Community - [GitHub
NARUBROWN/spine/llms.txt
generated Swagger files are supporting material; when they disagree with code, follow code. The external demos reviewed on 2026-07-30 all pin Spine `v0.5.1`. Their architecture is useful
permaweb/HyperBEAM/docs/llms-full.txt
Generated: 2025-05-15T13:32:25Z --- START OF FILE: docs/build/exposing-process-state.md --- # Exposing Process State
2389-research/claude-plugins/docs/llms.txt
Linux, Windows, and macOS without Xcode - [speed-run](https://skills.2389.ai/plugins/speed-run/): Token-efficient code generation pipeline - parallel implementation with hosted LLM (Cerebras) for ~60% token savings. Includes MCP server. - [binary
ifBars/blender-agent-studio/llms.txt
ifBars/blender-agent-studio codex plugin add blender-agent-studio@blender-agent-studio ``` Install in Claude Code: ```bash claude plugin marketplace add ifBars/blender-agent-studio claude plugin install blender-agent-studio@blender-agent-studio ``` After
trahloff/Aldine/site/llms.txt
Cowork; a signed link in Claude Code and other MCP clients). Every change is a git commit authored "Claude", with review and revert in the editor. Connect claude.ai or Claude
dykyi-roman/awesome-claude-code/llms.txt
/acc:generate-test ` | Generate tests for file/folder | | `/acc:audit-test ` | Audit test quality | | `/acc:code-review [branch] [level]` | Multi-level code review | | `/acc:bug-fix ` | Automated bug diagnosis
supernovae-st/nika/llms.txt
Ends with the current limits. - [docs/usage/conversational-session.md](docs/usage/conversational-session.md): Bare `nika` on a terminal — describe · clarify · review · save (`yes`) · run (`run it`) · inspect (`/proof`). Provider keys come from the environment (DeepSeek example
Calibre-Labs/reforge-ai-evals/llms.txt
governance, experience) and release thresholds, v1 from the PRD and v2 from trace codes - [Trace review app skill](https://github.com/Calibre-Labs/reforge-ai-evals/blob/main/skills/trace-review-app/SKILL.md): build a one-file trace review
escapeboy/claude-code-kit/llms.txt
improve, sprint-orchestrate, sync-features, ui-ux-review, update-docs, video-digest) - [Mods marketplace](https://github.com/escapeboy/claude-code-kit/tree/master/17-mods/marketplace): `ai-prompts-mods`, 13 Claude Code mods (≥ 2.1.287) with tests; `company-hq` adds
MikkoParkkola/trvl/llms.txt
/usr/local/bin trvl ## MCP Server Setup (for AI assistants) Command: trvl mcp Transport: stdio Claude Code: claude mcp add trvl --transport stdio -- trvl mcp Claude Desktop: Add {"mcpServers":{"trvl":{"command":"trvl
arthjean/paneflow/llms.txt
access. - Auto-submit is opt-in; the default product loop is human-reviewed prompt prefill. - Keep all code changes cross-platform across Linux, macOS, and Windows
vouchdev/vouch/llms.txt
Claude Code wiring step if applicable. ## Host integrations - [openclaw.plugin.json](https://raw.githubusercontent.com/vouchdev/vouch/main/openclaw.plugin.json): OpenClaw plugin manifest. Declares the MCP server, the four bundled slash commands, the trust boundary (review-gated writes
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.