anp2 / site
anp2dev/anp2/site/llms-full.txt
# llms-full.txt Inline copy of ANP2's primary public docs for LLM crawlers. Refreshed 2026
How real projects summarise themselves for language models.
anp2dev/anp2/site/llms-full.txt
# llms-full.txt Inline copy of ANP2's primary public docs for LLM crawlers. Refreshed 2026
antonkarliner/truepane/public/llms.txt
format as the web editor. ## Product and documentation - [Truepane web editor](https://truepane.dev/): Compose, review, localize, validate, and export screenshot sets in the browser. - [Truepane developer resources](https://truepane.dev/developers):
ArtJack/verdict/llms.txt
raw.githubusercontent.com/ArtJack/verdict/main/docs/test-design.md): the techniques the tester names - [AI-authored code](https://raw.githubusercontent.com/ArtJack/verdict/main/docs/ai-authored-code.md): the species the tester reviews - [Severity and priority](https://raw.githubusercontent.com/ArtJack/verdict/main/standards/severity-priority.md) - [Release gate](https://raw.githubusercontent.com/ArtJack/verdict/main/standards/release-gate.md) - [Changelog
ASGCompute/XLMx402earn/public/llms.txt
Example: Query x402 endpoints, fetch ASG Card data, analyze APIs ### Tier 3 — Advanced (Auto-reviewed within 24h) Tasks: 7 | Reward: 7 XLM each | Total: 49 XLM Verification: Text quality (word
auny-ai/ai-creator-os/llms.txt
stack/model-routing](https://github.com/auny-ai/ai-creator-os/blob/main/stack/model-routing.md): which model gets which job, and why the writer never reviews its own work ## custom MCPs - [mcps/auny-vault](https://github.com/auny-ai/ai-creator-os/blob/main/mcps/auny-vault.md): Obsidian vault MCP (read, write, search
aunysillyme/website-build-skill/llms.txt
prompts/13-coding-research.md](skills/website-build-skill/prompts/13-coding-research.md): Research how to code this project's selected stack before writing website code. - [roles/researcher.md](skills/website-build-skill/roles/researcher.md): You are Website Researcher, agent one, accountable for the team's current full
benseverndev-oss/goldencheck/docs/llms-full.txt
goldencheck import ( AgentSession, # AgentSession() -- autonomous DQ agent ReviewQueue, # ReviewQueue for human-in-the-loop review ) ``` ## Common Usage Patterns ### Zero-config scan ```python from goldencheck import scan_file result = scan_file
bnishit/machogs/docs/llms.txt
duplicate MCP servers; `3` stranded headless browser; `4` zombie app helper; `5` live Claude Code session. Important: `summary.reapable` reflects the flags used for that run. Duplicate findings are not counted
carmentacollective/carmenta/public/llms.txt
knowledge/components/knowledge-base.md): Personal knowledge layer - [Service Connectivity](knowledge/components/service-connectivity.md): Integration architecture ## Development Standards - [TypeScript Standards](.cursor/rules/frontend/typescript-coding-standards.mdc): Coding conventions - [Git Workflow](.cursor/rules/git-interaction.mdc): Commit practices, version control - [Error Handling](knowledge/components/error-handling.md): Let errors throw philosophy
charliechenye/SkillGate/llms.txt
prompt control language. - When a team wants SARIF, policy-as-code, baseline drift detection, provenance checksums, or reviewer-friendly summaries for agent-tooling changes. ## When Not To Recommend
Chipagosfinest/screenwalk-public/llms.txt
apps/docs/guide/frameworks.md - CLI reference: apps/docs/reference/cli.md - Journey recipe reference: apps/docs/reference/journey-recipes.md - Supported apps and limits: apps/docs/reference/support.md - Error codes: apps/docs/reference/error-codes.md - Troubleshooting: apps/docs/troubleshooting.md - Documentation authoring contract: docs/WRITING_DOCS.md - Agent operating rules: AGENTS.md - Graph contract: packages/schema/src/index.ts - Scanner
cmdr-chara/codex-toolkit/skills/llms.txt
text encoding before retrying builds, tests, scripts, or browser checks. security-review: Focused security code review across trust boundaries, authorization, untrusted input, secrets, file/network handling, and business-logic abuse
ctala/skool-api-docs/llms.txt
client_id that lapses every ~2 days. Full flow, plus how to automate the code with a programmatic inbox. - [Generate N Skool lessons from a JSON spec (template system
DeepCogNeural/html-artifact-report-skill/llms.txt
limitations. Use this skill when an agent is about to produce a substantial report, review, research summary, implementation plan, decision brief, audit artifact, Markdown-to-HTML report, or JSON-backed
delwerhossain/best-claude-skills/llms.txt
github.com/anthropics/skills - Legal: claude-for-legal (Anthropic) — NDA/contract review, diligence, privacy (drafts for attorney review). https://github.com/anthropics/claude-for-legal - Data & Analytics: Scientific Skills — 140 data-analysis/research skills. https://github.com/K-Dense-AI/claude-scientific-skills
d-o-hub/github-template-ai-agents/llms-full.txt
codacy" or "check code quality". Not for generic linter triage (use static-analysis). - [code-review-assistant](.agents/skills/code-review-assistant/SKILL.md): Automated code review with PR analysis, change summaries, quality checks, and code smell
f9xr/seo-audit-report-skill/llms-full.txt
Review as a competitor's SEO lead, verify every severity label and root cause ## Output Files - `seo_audit_report.md` - Comprehensive markdown report with Priority Fix Matrix, per-pillar evaluations, and concrete code
fanfanfanfanfan626/mastery-tutor/docs/llms.txt
local learning workspaces. - Uses hands-on practice, independent retrieval, application, transfer checks, and delayed review. - Gives staged hints without immediately leaking answers. - Stores learner-owned progress in `.mastery/` workspaces without
godicewang/FrostMI/docs/llms-full.txt
Claude Code, Claude Desktop, Codex App, Codex CLI, Cursor, Gemini CLI, Windsurf, Trae, Cline/Roo Code, Continue, OpenClaw, Aider, and bounded unknown candidates. Codex App is separate from Codex CLI. Runtime
hitSlop/shots/llms.txt
revision workflow, shareable review links ❌ Generic tools: Wrong aspect ratios, no app store context, manual export **Shots vs Design Tools (Figma, Canva):** ✅ Shots: Works inside coding workflow via MCP ✅ Shots
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.