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AgentDefaults Index

Purpose

Provide a compact human-readable routing and navigation layer for AgentDefaults while agentdefaults.manifest.json remains the authoritative machine-readable featured-stack registry.

Fast Start

Need Start with
Operate the bounded loop quickly docs/loops/QUICK_REFERENCE.md
Understand the full bounded lead/reviewer loop docs/loops/README.md
Run a bounded lead/reviewer completion loop in VS Code Copilot docs/quickstarts/bounded-completion.md
Choose among the principal and specialist engineering agents ENGINEERING_AGENTS_INDEX.md
Engineer or harden GitHub Actions workflows/actions docs/quickstarts/github-actions-engineer.md
Use authenticated Comet browser research docs/quickstarts/comet-authenticated-research.md
Apply the Token Economy stack docs/quickstarts/token-economy.md
Use OpenAI Codex docs/quickstarts/codex.md
Use Claude Code docs/quickstarts/claude.md
Edit local YouTube footage with Claude Code docs/quickstarts/claude-video-editing.md
Understand Claude project hooks / Graft adapter .claude/README.md
Use GitHub Copilot custom agents .github/agents/
Understand Copilot prompt adapters .github/prompts/README.md
Use Gemini / Gemini CLI GEMINI.md
Use a generic repository-aware agent AGENTS.md
Adapt examples safely examples/README.md
Understand loop configuration config/README.md
See all tool mappings docs/tool-integration-guide.md
Run the Humanizer pass on human-facing prose skills/humanizer.md
Decide when to use an external tool (Hyperframes, Apify MCP, OpenSEO, Agent Skills, Codeburn, Ponytail) docs/external-tools.md
Add the pointer block to an app repo's AGENTS.md docs/snippets/downstream-agents-pointer.md
Validate the repository scripts/validate-agentdefaults.py

Bounded Completion Workflow

Use docs/quickstarts/bounded-completion.md when implementation/qualification work needs a single Integration Owner, independent adversarial review, durable loop state, deterministic verification, bounded continuation, visual-artifact evidence, and an objective completion gate.

For active operation, keep docs/loops/QUICK_REFERENCE.md open. For ownership, state, stale-evidence, approval, Stop-hook, recovery, and loop-design semantics, use the full docs/loops/README.md.

agents/bounded-completion-lead.md
agents/bounded-completion-reviewer.md
skills/bounded-completion-orchestration.md
schemas/bounded-completion-task.schema.json
config/bounded-completion.json
scripts/bounded-completion.py
.github/agents/bounded-completion-lead.agent.md
.github/agents/bounded-completion-reviewer.agent.md

The custom agents intentionally omit model: bindings until exact qualified local model identifiers are repository-discoverable. The operator guide documents manual VS Code model-picker selection for the intended Qwen lead/reviewer roles.

Principal Engineering Routing

Scope Canonical agent Skill Quickstart Copilot adapter
DevOps/platform agents/principal-devops-engineer.md skills/production-devops-engineering.md docs/quickstarts/principal-devops-engineer.md .github/agents/principal-devops-engineer.agent.md
AI engineering agents/principal-ai-engineer.md skills/production-ai-engineering.md docs/quickstarts/principal-ai-engineer.md .github/agents/principal-ai-engineer.agent.md
Materially cross-domain AI + DevOps agents/principal-ai-devops-engineer.md skills/production-ai-devops-engineering.md docs/quickstarts/principal-ai-devops-engineer.md .github/agents/principal-ai-devops-engineer.agent.md

Use the smallest correct owner. Infrastructure hosting an AI workload is still DevOps-only unless AI application behavior also requires material change. GitHub Actions-specific workflow/runtime work should use the specialist route below before the generic DevOps route.

Specialist Engineering Routes

Need Start with
GitHub Actions workflow/action engineering, reusable workflows, runner trust, GITHUB_TOKEN, OIDC, Dependabot/fork boundaries, Actions release automation, artifacts/caches, concurrency/reruns, or qualification docs/quickstarts/github-actions-engineer.md · agents/github-actions-engineer.md
Work specifically on Quazmoz/K8SHomelab Kubernetes/Flux GitOps, app deployment, storage/networking, or cluster incidents docs/quickstarts/kubernetes-homelab-engineer.md · agents/kubernetes-homelab-engineer.md
Audit or harden DevOps cybersecurity across Terraform/OpenTofu, Ansible/AAP, Jenkins, CI/CD, GitOps, IAM, secrets, runners/agents, state, or software supply chain docs/quickstarts/devsecops-security-engineer.md · agents/devsecops-security-engineer.md
Create, audit, or reconcile DevOps docs-as-code, runbooks, Markdown, Mermaid, and documentation diagrams docs/quickstarts/devops-documentation-engineer.md · agents/devops-documentation-engineer.md
De-slop an existing codebase: stale comments/docstrings, duplicate helpers, dead residue, abstraction inflation, brittle tests, dependency/config drift, weak failure handling, or practical efficiency cleanup across languages docs/quickstarts/codebase-maintenance-engineer.md · agents/codebase-maintenance-engineer.md
Automate Google Play releases, RevenueCat monetization configuration, AdMob inventory, or portfolio-wide local build -> Internal Testing orchestration docs/quickstarts/mobile-release-automation.md · agents/mobile-release-automation-engineer.md
Design, build, or audit another AI agent docs/quickstarts/agent-builder.md
Choose or challenge an automation platform AUTOMATION_PLATFORM_INDEX.md

GitHub Actions Engineering

docs/quickstarts/github-actions-engineer.md
agents/github-actions-engineer.md
skills/github-actions-engineering.md
prompts/implementation/github-actions-task.md
schemas/github-actions-task.schema.json
examples/github-actions-task.yaml
docs/github-actions-engineer-acceptance-tests.md
.github/agents/github-actions-engineer.agent.md
scripts/validate-github-actions-stack.py

This specialist owns GitHub Actions-specific event trust, fork/Dependabot behavior, pull_request_target/privileged workflow_run risks, token/secret/OIDC scope, reusable-workflow contracts, action/workflow pinning and provenance, GitHub-hosted/self-hosted runner boundaries, caches/artifacts, concurrency/cancellation/reruns, release/deployment automation, artifact identity, and Actions cost controls.

Use prompts/implementation/github-actions-task.md for repeatable work and schemas/github-actions-task.schema.json when an orchestrator needs a machine-verifiable authority/trust/verification contract.

Mobile Release and Monetization Automation

docs/quickstarts/mobile-release-automation.md
agents/mobile-release-automation-engineer.md
skills/mobile-release-automation-orchestration.md
skills/android-portfolio-release-orchestration.md
skills/google-play-release-automation.md
skills/google-play-localized-pricing.md
skills/revenuecat-monetization-automation.md
skills/admob-inventory-automation.md
prompts/implementation/mobile-release-automation-task.md
prompts/implementation/android-portfolio-release-orchestration.md
prompts/implementation/google-play-localized-pricing-rollout.md
schemas/mobile-release-automation-task.schema.json
examples/mobile-release-automation-task.yaml
docs/mobile-release-automation-acceptance-tests.md
tools/mobile-release-automation/
.github/agents/mobile-release-automation-engineer.agent.md
scripts/validate-mobile-release-automation-stack.py

This specialist owns Play app bundle upload, testing tracks, staged rollout and promotion, Play monetization products, RevenueCat apps/products/entitlements/offerings/packages, and AdMob apps and ad units. For many local Android/Wear repositories, skills/android-portfolio-release-orchestration.md adds safe checkout discovery, per-repo Gradle qualification, exact-candidate manifests, and verified Internal Testing uploads without making the portfolio registry authoritative for build state.

The three platforms are not equally automatable, and the stack treats that as a first-class fact. Google Play and RevenueCat support API-driven creation. AdMob accepts OAuth user credentials only, rejects service accounts entirely, and gates app and ad-unit creation per account through a Google account manager. Probe AdMob access before planning AdMob automation.

Use prompts/implementation/google-play-localized-pricing-rollout.md for approval-gated portfolio pricing work: it starts in read-only planning mode, produces per-app immutable plan IDs, stops for explicit approval, and only then permits exact-plan application plus read-back verification.

tools/mobile-release-automation/ is the runnable local toolkit: a CLI, an offline test suite, and a local stdio MCP server for Play and AdMob, for which no first-party MCP server exists. Use RevenueCat's first-party server at https://mcp.revenuecat.ai/mcp for RevenueCat.

Other Featured Stacks

Need Start with
Google Play growth / ASO / listing localization review docs/quickstarts/google-play-growth.md
Palmier Pro MCP video editing docs/quickstarts/palmierpro-mcp.md
Claude Code local video editing docs/quickstarts/claude-video-editing.md
App-market browser research docs/quickstarts/app-market-research.md
Community app-idea validation docs/quickstarts/community-app-validation.md
Token economy docs/quickstarts/token-economy.md
Wear OS development WEAROS_DEVELOPMENT_INDEX.md
Wear OS Play Store release WEAROS_INDEX.md
US-Europe travel preparation TRAVEL_INDEX.md

Additional Canonical Operator Guides

Some canonical agents are intentionally not registered as featured stacks but still need explicit operating guidance.

Need Start with
Authenticated local Comet research with human auth handoff and prompt-injection boundaries docs/quickstarts/comet-authenticated-research.md
Understand all canonical agents and which ones need quickstarts agents/README.md
Understand skill families/composition skills/README.md
Understand prompt categories prompts/README.md

Featured Stack Registry

The authoritative stack composition is agentdefaults.manifest.json. It currently registers:

  • Agent Architect and Builder
  • Codebase Maintenance and De-Slop Engineering
  • Bounded Two-Agent Completion
  • Principal AI and DevOps Engineering
  • Principal DevOps Engineering
  • GitHub Actions Engineering
  • Kubernetes Homelab Engineering
  • DevSecOps Security Engineering
  • DevOps Documentation Engineering
  • Principal AI Engineering
  • Automation Platform Architecture and Selection
  • Google Play Growth Optimization
  • Mobile Release and Monetization Automation
  • Palmier Pro MCP Video Editing
  • Claude Code Local Video Editing
  • App Market Browser Research
  • Community App Idea Validation
  • Token Economy
  • Wear OS Development
  • Wear OS Play Store Release
  • US-Europe Travel Prep

Canonical Content

agents/   complete reusable agent profiles
skills/   composable behavior/task modules
prompts/  reusable task and benchmark prompts
schemas/  machine-readable contracts for structured workflows

Tool-specific entrypoints and wrappers route to these files; they are not separate canonical implementations.

Tool Entrypoints

OpenAI Codex             -> AGENTS.md
Claude Code              -> CLAUDE.md -> @AGENTS.md (+ optional .claude runtime adapters)
GitHub Copilot           -> .github/copilot-instructions.md + .github/agents/*.agent.md + .github/prompts/*.prompt.md
Gemini                    -> GEMINI.md
Generic repo-aware agent -> AGENTS.md

See docs/tool-integration-guide.md for details.

Validation

Run:

python3 scripts/validate-agentdefaults.py

The canonical suite covers structure, schemas, manifest integrity, stack invariants, Markdown links, cross-tool entrypoints, principal engineering contracts, GitHub Actions contracts/routing, specialist DevOps documentation contracts, DevSecOps security contracts, codebase-maintenance/de-slop contracts, and bounded-completion control-plane regressions.

For GitHub Actions stack changes, the focused check is:

python3 scripts/validate-github-actions-stack.py

Do not report a validator as passed unless it actually ran successfully.