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@itamarzand88/awesome-agent-conventions-9

A

A curated field guide to the convention files AI agents read, write, and act on.

instructionscodex

Install

agr install @itamarzand88/awesome-agent-conventions-9 --target codex

Writes 1 file into AGENTS.md, pinned to git-befac859.

  • AGENTS.md

Document

Docs contributor guide

The docs/ directory is published at docs.crewai.com by Mintlify. Mintlify watches docs/docs.json and the MDX files referenced from it.

TL;DR for editing docs

  • Edit MDX under docs/edge/<lang>/... (e.g. docs/edge/en/concepts/agents.mdx).
  • Your change ships under the Edge version selector the moment it merges to main. Edge follows main and is the channel for unreleased work.
  • On release cut, the current Edge state is frozen into docs/v<X.Y.Z>/ and that snapshot becomes the new default version in the selector (tag: Latest). Canonical URLs (/<lang>/...) auto-redirect to the new default.
  • Never modify files under docs/v*/. Those are frozen release snapshots and the docs-snapshots CI guard rejects writes. The only exception is a release-cut PR (auto-generated by devtools release or the manual scripts/docs/freeze_current_edge.py wrapper), which uses a [docs-freeze] title prefix to opt out.
  • Never delete or rename files under docs/images/. Images are append-only. See Images below.

The version model

The site has one rolling channel (Edge) plus one frozen snapshot per release.

docs/
  edge/                  <-- Edge sources (you edit here)
    en/...
    pt-BR/  ko/  ar/
    enterprise-api.*.yaml

  v1.14.7/               <-- frozen snapshot of v1.14.7
    en/...
    pt-BR/  ko/  ar/
    enterprise-api.*.yaml
  v1.14.6/...
  ...

  images/                <-- shared, append-only
  docs.json              <-- Mintlify config: navigation + redirects

docs/docs.json lists one navigation block per version per language. Edge points at docs/edge/<lang>/...; every other version points at its own docs/v<X.Y.Z>/<lang>/... subtree. Mintlify scopes both the sidebar and the in-site search to whichever version the reader selects, so picking v1.10.0 genuinely shows the v1.10.0 docs (and only those).

URLs and canonical redirects

Each Mintlify version corresponds to its own URL prefix:

  • Edge: /edge/<lang>/<page> (e.g. /edge/en/concepts/agents)
  • Frozen: /v<X.Y.Z>/<lang>/<page> (e.g. /v1.14.7/en/concepts/agents)

External links to the old, unversioned /<lang>/<page> URLs would 404 under this layout. To keep them working, docs.json ships wildcard redirects:

{ "source": "/en/:slug*", "destination": "/v1.14.7/en/:slug*", "permanent": false }

The release-cut step rewrites the destination on every release so canonical /<lang>/... URLs always resolve to the latest stable docs.

Lifecycle

  1. During development. You add or edit pages under docs/edge/<lang>/... in normal PRs. They land in Edge as soon as the PR merges. Both /edge/<lang>/<page> and the version selector's Edge entry reflect the change immediately.
  2. Release cut. The release engineer runs devtools release X.Y.Z. As part of that flow the CLI opens a [docs-freeze] PR that copies Edge into docs/v<X.Y.Z>/, rewrites internal OpenAPI references, updates docs/docs.json to make v<X.Y.Z> the new default + Latest, and rewires the canonical-URL redirects to the new default. The PR must merge before the tag and PyPI publish run.
  3. After release. Edge keeps rolling. Patch fixes to the just-released docs go into Edge and ship with the next release. We do not back-edit frozen snapshots.

See RELEASING.md for the full release runbook.

Images

Snapshots share a single docs/images/ directory. If an image is deleted or renamed, every frozen snapshot that referenced it breaks. So the rule is:

  • Adding new images is always fine.
  • Deleting or renaming an existing image fails CI unless the PR is a [docs-freeze] release-cut PR.
  • If an asset is wrong, add a new file with a new name and reference the new name in the Edge MDX (docs/edge/<lang>/...). Leave the old file alone.

Local preview

Install the Mintlify CLI and run from docs/:

npm i -g mintlify
mintlify dev

Use the version selector at the top of the rendered page to switch between Edge and frozen versions.

To check links across every version:

mintlify broken-links

CI runs the broken-links check on every PR that touches docs/** via .github/workflows/docs-broken-links.yml.

Scripts

  • scripts/docs/freeze_historical_versions.py — one-time migration that reconstructed docs/v1.10.0/ through docs/v1.14.7/ from git tags. You should not need to run this again.
  • scripts/docs/prefix_version_paths.py — one-time migration that switched docs/docs.json to directory-based versioning, inserted Edge, and added the canonical-URL redirects. You should not need to run this again.
  • scripts/docs/freeze_current_edge.py — thin CLI wrapper around crewai_devtools.docs_versioning.freeze. devtools release calls the same module during its docs PR step; this script is the manual escape hatch (e.g. retroactively freezing a forgotten release).

CI guards

Repository README

Describes ItamarZand88/awesome-agent-conventions as a whole, which may contain artifacts other than this one. Where this artifact had no useful description of its own, its summary was taken from here.

Awesome Agent Conventions

A curated field guide to the convention files AI agents read, write, and act on.

22 conventions across 11 categories. From common project instruction files to newer agent-web discovery and trust formats.

Agent tools increasingly rely on plain files in a repository or website root: instructions, memory, rules, tool connections, prompt assets, discovery metadata, and protocol hints. The names are easy to mix up, and the adoption levels vary a lot.

This repo keeps the map practical:

  • Know what a file is for. Each entry names the convention, usual filename, primary readers, and spec or source.
  • Study real examples. Examples are fetched from public repositories by script, with provenance kept at the top of each file.
  • Separate practice from proposal. Maturity labels show what is widely used, what is early, and what is still only proposed.

Contents

What counts

This list is intentionally narrow. A file belongs here when it is a convention for agent behavior or agent-readable metadata: instructions, memory, skills, rules, tool config, prompt assets, or web-discovery hints.

Any file type can qualify - .md, .txt, .prompty, .json, dotfiles, or a directory pattern. Human-first project docs such as README.md, CONTRIBUTING.md, SECURITY.md, and CHANGELOG.md stay out unless the file has become an agent convention in its own right.

Maturity tiers

The badge is a claim about adoption, not quality. It keeps a proven convention from being presented the same way as a new idea.

BadgeTierMeaning
🟢AdoptedUsed in production by multiple tools, projects, or teams.
🟠EmergingPublished by a real organization, but still early or limited in adoption.
🔵ProposedPublicly described, but without clear adoption beyond the proposal.

Instruction & context

Standalone page: categories/instruction-context.md

ConventionFilesRead bySpec
🟢AGENTS.mdAGENTS.mdMost coding agents - OpenAI Codex, Cursor, Jules, Aider, Gemini CLI, Zed, and othersspec ↗
🟢CLAUDE.mdCLAUDE.mdClaude Code, and tools that read the Claude memory conventionspec ↗
🟢Tool-specific instruction filesGEMINI.md AGENT.md QWEN.md WARP.md CONVENTIONS.md copilot-instructions.mdEach file is read by its namesake tool - Gemini CLI, Amp, Qwen Code, Warp, Aider, GitHub Copilot - often alongside or as a bridge to AGENTS.mdspec ↗
🟠OKF (Open Knowledge Format).mdAgents over MCP (okfy, openknowledge, superops okf CLIs); Google's knowledge-catalog ingests bundlesspec ↗
  • AGENTS.md - A plain-Markdown "README for agents" - build/test commands, conventions, and gotchas an agent needs before touching the code. The most widely adopted cross-tool instruction file.
  • CLAUDE.md - Anthropic's memory file for Claude Code - loaded automatically at session start to carry project commands, style rules, and standing instructions across turns.
  • Tool-specific instruction files - Per-tool instruction files that predate or coexist with AGENTS.md. Some tools now default to AGENTS.md while keeping legacy filenames alive, so these variants still matter when auditing real repositories.
  • OKF (Open Knowledge Format) - A machine-first organizational knowledge base: a version-controlled folder of typed Markdown files (one concept per file) that any agent reads as ground-truth context. Open-sourced by Google Cloud in 2026 as the content layer to MCP's transport.

Memory & state

Standalone page: categories/memory-state.md

ConventionFilesRead bySpec
🟢MEMORY.mdMEMORY.mdClaude Code's auto-memory - the per-project MEMORY.md index it writes and re-reads each sessionspec ↗
🟢Memory Bankprojectbrief.md productContext.md activeContext.md systemPatterns.md techContext.md progress.mdCline, Roo Code, and Cursor (via the Memory Bank custom-instructions pattern)spec ↗
  • MEMORY.md - A persistent, agent-maintained index of durable facts - written and re-read across sessions so an agent accumulates project memory instead of relearning each time.
  • Memory Bank - Cline's structured memory system - a set of Markdown files an agent reads at the start of every task to reconstruct full project context after its session memory resets. The six files shown are Cline's set; tools like Roo Code use an overlapping but different variant.

Spec-driven development

Standalone page: categories/spec-driven-development.md

ConventionFilesRead bySpec
🟢Spec Kitconstitution.md spec.md plan.md tasks.mdGitHub Spec Kit's slash-command agents (Copilot, Claude, Gemini, Cursor, and more)spec ↗
🟢Kiro steering filesproduct.md structure.md tech.mdAWS Kiro (steering files are largely Kiro-specific)spec ↗
  • Spec Kit - GitHub's spec-driven workflow - a constitution plus per-feature spec → plan → tasks files that drive an agent through structured, reviewable implementation.
  • Kiro steering files - Kiro's always-on steering docs - product, structure, and tech files that give the agent persistent project context outside of any single spec.

Skills & prompt assets

Standalone page: categories/skills-prompt-assets.md

ConventionFilesRead bySpec
🟢SKILL.mdSKILL.mdClaude Agent Skills, Claude Code, Amp, Agent Skills-compatible toolsspec ↗
🟢Prompt asset files.prompty .prompt system_prompt.txtPrompty tooling, Azure AI / Semantic Kernel, and apps that load externalized promptsspec ↗
🟢Claude Code commands.mdClaude Code - project .claude/commands/ and user ~/.claude/commands/spec ↗
🟢Copilot prompt & instruction files.prompt.md .instructions.mdGitHub Copilot in VS Code / Copilot CLIspec ↗
  • SKILL.md - A self-contained, model-invoked capability file that tells an agent when to load a reusable procedure and how to execute it.
  • Prompt asset files - Externalized prompt files - Prompty's YAML-front-mattered .prompty, plain .prompt templates, and system_prompt.txt - that pull the prompt out of source code so it can be versioned and edited on its own. Only .prompty has a formal spec (prompty.ai); .prompt and system_prompt.txt are ad-hoc externalized-prompt filenames.
  • Claude Code commands - A Markdown file Claude Code exposes as a /slash-command - a reusable, version-controlled prompt workflow, with optional frontmatter (allowed-tools, model, argument-hint) and $ARGUMENTS and shell placeholders (@file references are a general Claude Code prompt feature, not command-specific). Now converging with Agent Skills, but still widely committed in its own right.
  • Copilot prompt & instruction files - Modular, path-scoped Copilot context: *.instructions.md auto-attach to matching files via an applyTo glob, while *.prompt.md are reusable prompts you invoke by name - the granular cousins of a single .github/copilot-instructions.md.

Tooling & connections

Standalone page: categories/tooling-connections.md

ConventionFilesRead bySpec
🟢MCP server config.mcp.jsonClaude Code, Cursor, VS Code / Copilot, and Claude Desktop - every MCP host reads the same mcpServers schema, though the filename and path differ per toolspec ↗
  • MCP server config - A JSON file that tells an agent which Model Context Protocol servers to launch and how (command, args, env) - making a project's tool and data integrations portable, shareable, and version-controlled across every MCP-capable client.

Rules & ignore files

Standalone page: categories/rules-ignore-files.md

ConventionFilesRead bySpec
🟢Rules files.cursorrules .mdc .clinerules .clinerules/ (pattern) .windsurfrulesCursor (.cursorrules / .mdc), Cline (.clinerules/ and legacy .clinerules), Windsurf (.windsurfrules)spec ↗
🟢AI ignore files.aiignore .cursorignore .codeiumignore .aiexcludeJetBrains Junie (.aiignore), Cursor (.cursorignore), Codeium/Windsurf (.codeiumignore)spec ↗
  • Rules files - Per-tool rule files that scope agent behavior - older single-file forms (.cursorrules, .clinerules, .windsurfrules) and newer directory-based, glob-scoped forms (.cursor/rules/.mdc, .clinerules/, .windsurf/rules/.md).
  • AI ignore files - gitignore-syntax files that fence an AI agent out of paths - secrets, vendored code, generated output - so they're never sent to the model as context.

Design

Standalone page: categories/design.md

ConventionFilesRead bySpec
🟢DESIGN.mdDESIGN.mdGoogle Stitch natively; and coding agents (e.g. Claude Code) when pointed at it as design contextspec ↗
  • DESIGN.md - A structured, machine-readable design specification - tokens, components, and layout intent - that an agent reads to generate or keep UI consistent with an established system. Open-sourced by Google Labs in 2026 as a cross-tool draft spec.

Web & discoverability

Standalone page: categories/web-discoverability.md

ConventionFilesRead bySpec
🟢llms.txtllms.txt llms-full.txt (pattern)Docs sites publish it for LLM tools and crawlers - though no major provider has confirmed reading itspec ↗
🟢pricing.mdpricing.mdAgents and LLM browsers fetching a clean, parse-able pricing pagespec ↗
  • llms.txt - A proposed-turned-widely-published standard: a root-level Markdown file giving LLMs a curated, link-rich map of a site's docs. Published across hundreds of developer-docs sites - though whether the major LLM providers actually read it remains unproven.
  • pricing.md - The Markdown twin of a pricing page - same URL with a .md suffix - so an agent gets structured plans and numbers instead of scraping marketing HTML. A concrete, shipping instance of the page.md pattern.

Agent-web trust

Standalone page: categories/agent-web-trust.md

ConventionFilesRead bySpec
🟠auth.mdauth.mdAgents discovering how to authenticate to a service (early adopters)spec ↗
🔵ai.txtai.txtAI training/data-mining crawlers that voluntarily honor AI usage preferences; crawler support is not yet reliablespec ↗
  • auth.md - A Markdown file that tells an agent how to authenticate with a service - discovery of auth endpoints and flows. Shipped by WorkOS as a real, working convention, but adoption beyond it is still early.
  • ai.txt - A text file declaring machine-readable consent, licensing, or policy preferences for AI training and data-mining. Spawning popularized the deployed root-file pattern, and a 2026 Internet-Draft now proposes a well-known URI; adoption and crawler obedience are still thin, so it stays 🔵.

Identity & protocols

Standalone page: categories/identity-protocols.md

ConventionFilesRead bySpec
🟠Agent Cards (A2A)agent-card.json agent.json (pattern)A2A-compatible agents discovering another agent's capabilitiesspec ↗
  • Agent Cards (A2A) - The Agent2Agent (A2A) capability card - a JSON document at a well-known path advertising an agent's skills, endpoints, and auth so other agents can discover and call it. Now a Linux Foundation project at v1.0; adoption is growing but early.

Proposed namespace

Standalone page: categories/proposed-namespace.md

ConventionFilesRead bySpec
🔵The protocols.md namespaceproof.md- (no demonstrated readers; aspirational)spec ↗
  • The protocols.md namespace - A single maintainer's pre-registered namespace of ~74 aspirational .md "protocols" (proof.md, signature.md, reputation.md, …) staked as Schelling points for a future agent web. Published concept, no demonstrated adoption - see the page for the audited, honest caveats.

Maintaining examples

Example files are fetched, not invented. The extractor pulls them from public sources, stores them under conventions/<slug>/examples/<source>/<filename>, and adds a line-1 provenance comment. The examples remain under their upstream owners' licenses and terms; see THIRD_PARTY_EXAMPLES.md before reusing them.

To refresh everything:

pip install -r scripts/requirements.txt
python scripts/extract.py          # fetch real files + rebuild each convention's README
python scripts/build_readme.py     # rebuild this README from scripts/targets.json

Re-running is idempotent. A missing target prints a miss and is skipped. Examples are representative samples: any file over 256 KB (for example, a multi-MB llms-full.txt) is truncated with a marker pointing back to the full source. scripts/targets.json remains the source of truth for conventions that have not been migrated yet; the skill-md pilot uses local convention metadata instead. Edit the relevant source and re-run both scripts.

Shortcut targets are available in the Makefile:

make verify          # schema + generated files + example provenance + links
make extract         # refetch public examples and rebuild generated docs
make license-report  # summarize upstream licenses for vendored examples

CI keeps the generated files and links honest. The verify workflow checks that generated docs match catalog metadata and migrated local metadata, and that every spec, example, and instance URL still resolves on each pull request and weekly. Run the same link check locally with python scripts/check_links.py.

Contributing

Read CONTRIBUTING.md. In short: an entry must pass the filter above and carry evidence for its maturity tier. Add sources to scripts/targets.json for non-migrated conventions, run the scripts, and open a PR. The skill-md pilot uses local convention metadata instead. Do not hand-write example files.

Before proposing adjacent standards, check WATCHLIST.md. Project direction lives in ROADMAP.md.

License

The curation, scripts, and original prose in this repository are MIT. Vendored example files remain under their upstream owners' licenses and terms; see THIRD_PARTY_EXAMPLES.md.

Trustgrade A

  • passBody integrity

    Whether the stored document is plausibly the kind of file the artifact declares, rather than something fetched by mistake.

  • passType matchnot applicable to this artifact type

    Whether the artifact is really the kind of thing its metadata claims it is.

  • passFreshness

    How long since the source repository was last pushed to.

  • passPrompt injection

    Scans the artifact's own text for instructions aimed at your agent rather than at you.

  • passLicense

    Whether the source repository declares an SPDX license permissive enough to redistribute.

How the grade is calculated

Each check contributes 0 points when it passes, 1 when it warns, and 2 when it fails. The total maps to a letter:

  • Aevery check passed
  • Bone warning
  • Ctwo warnings
  • Dprompt injection or body integrity failed, or three warnings
  • Fone of those failed, and something else is wrong

These are automated hygiene checks, not a security audit, and not a dependency or vulnerability scan. A grade of A means nothing was flagged — not that the artifact is safe.

Versions

  • git-befac8598ee12026-08-04