How real projects summarise themselves for language models.
KyaniteLabsllms.txtKyaniteLabs/tastecheck/llms.txt
ship or hold decision. TasteCheck skills are plain Markdown, readable by any coding agent — no SDK or install required. The ship-gate adds optional dependency-free Node and browser scripts
littlebearappsllms.txtlittlebearapps/pitchdocs/llms.txt
friendly README.md — supports --review (force review) and --no-review (skip review) flags - [/pitchdocs:features](./commands/features.md): Extract features from code and translate to user benefits — auto-scan or conversational path - [/pitchdocs
nometalalchemistllms.txtnometalalchemist/KitchenSink4Word/docs/llms.txt
next `tools/list`, announced by `tools/list_changed`. - Pack costs, from `scripts/measure_surface.py`: references 8 tools / 2.9k, review 9 / 2.4k, academic 24 / 7.6k, assembly 7 / 2.1k, media-forms
osauerllms.txtosauer/canary/docs/llms-full.txt
sources. A delayed, held, fallback, partial, or unavailable result must retain its data quality, warning code, freshness, source health, and session context; returning a value does not make a fallback green
osauerllms.txtosauer/canary/docs/llms.txt
option-strategy grouping, read-only protection proposals, and option-exercise opportunity review; - explicit freshness, entitlement, source-health, warning-code, and session context; and - Go programs reading the daemon through `github.com
Speraxllms.txtSperax/sperax-skills/llms-full.txt
block explorer 2. Look up audit history 3. Check token distribution (top holders) 4. Review social signals and news 5. Check for known scam patterns (honeypot, high tax) ## Transaction Patterns
veggiemonkllms.txtveggiemonk/backlog/docs/llms.txt
backlog create "Design the new dashboard" -a "alex" # Assign to multiple people: backlog create "Code review for the payment gateway" -a "jordan" -a "casey" # 4. Adding Labels
Amey-Thakurllms.txtAmey-Thakur/AI-SKILLS/docs/llms.txt
accessibility of UI that automated tools cannot fully assess. ## Skills: ai-coding-tools - [agent-code-review](https://raw.githubusercontent.com/Amey-Thakur/AI-SKILLS/main/skills/ai-coding-tools/agent-code-review/SKILL.md): Use an agent to review a diff productively, with the right
aunysillymellms.txtaunysillyme/model-orchestrator/llms.txt
Templates](https://github.com/aunysillyme/model-orchestrator/blob/main/templates/README.md): routing rules, task brief, context, acceptance checks and protocols - [Claude Code plugin](https://github.com/aunysillyme/model-orchestrator/blob/main/plugin/README.md): installing read-only routing hooks and subagents through the plugin marketplace
bablsoftllms.txtbablsoft/accessflow/website/llms.txt
record who approved it - [Automate with Terraform](https://accessflow.io/docs/guides/terraform/): Declare datasources, review plans and policies as code with the Terraform / OpenTofu provider - [Ask the help assistant](https://accessflow.io/docs/guides/help-assistant/):
chenyuxiaojinllms.txtchenyuxiaojin/video-agent-skills/llms.txt
into a DaVinci/CapCut-ready timeline — from research to publish. A collection of 11 specialized Claude Code skills that form a coordinated video production pipeline. Ten skills cover the full production chain
joris887llms.txtjoris887/exosuit/llms.txt
server vs built-in tool selection guide with decision matrix ## Native Agents (.claude/agents/) - .claude/agents/code-reviewer.md: Code review with severity classification (correctness, conventions, security lenses) — temperature: 0.1 - .claude/agents/spec-reviewer.md: Spec compliance verification with
joris887llms.txtjoris887/exosuit/scaffold/llms.txt
server vs built-in tool selection guide with decision matrix ## Native Agents (.claude/agents/) - .claude/agents/code-reviewer.md: Code review with severity classification (correctness, conventions, security lenses) - .claude/agents/spec-reviewer.md: Spec compliance verification with file:line
vassiliylakhoninllms.txtvassiliylakhonin/global-think-tank-analyst/llms.txt
concrete watch-next indicators and decision triggers; - examples, a learning path, and a human review checklist for the above. What this repository is not: - not a factuality verifier, source retriever
imMamdouhaboammarllms.txtimMamdouhaboammar/get-fable/public/llms.txt
coding agents. - [External Integrations Guide](https://github.com/imMamdouhaboammar/get-fable/blob/master/docs/INTEGRATIONS.md): - **GitHub**: Automatic PR reviews, branch status checks, issue triage. - [Fable Coding Lifecycle v2](https://github.com/imMamdouhaboammar/get-fable/blob/master/docs/LIFECYCLE.md): │ (route task / intent) - [ChatGPT, Codex
MSKazemillms.txtMSKazemi/novafabric/llms.txt
agent, a model run, an HPC training job, a notebook cell — with no application code changes, and produces a portable, schema-valid, secret-redacted evidence folder called a **capsule**. Capsules
ndisisndllms.txtndisisnd/msg/llms.txt
specialist subagents per wave - [eng](https://raw.githubusercontent.com/ndisisnd/msg/main/.claude/skills/eng/SKILL.md): `--plan` / `--build` / `--review` — the only skill that writes product code - [pre-merge](https://raw.githubusercontent.com/ndisisnd/msg/main/.claude/skills/pre-merge/SKILL.md): the CI gate — manifest-driven pipeline executor
PIsbergllms.txtPIsberg/skill3/llms-full.txt
security-critical. Do not weaken security properties. Every change requires security review. ### se.deversity.skill3.llm.AnthropicChatModel - Security-critical code (aspect: Anthropic API credential handling and hosted-provider network egress). - Never weaken security properties
PIsbergllms.txtPIsberg/skill3/llms.txt
network egress]. Do not weaken security properties. Flag any change for security review. - [LlmProviderFactory](se.deversity.skill3.llm.LlmProviderFactory): Security-critical code [LLM provider credential resolution and model selection]. Do not weaken security properties
purinzanllms.txtpurinzan/gx3-cli-mcp/llms.txt
right boundary. - Static review: duplicate coils, multi-writers, latches with no reset, contacts that can never close, contradictory comments. - Letting an AI agent (Claude Desktop, Claude Code, Cursor
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.
