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alanblythe/agent-platform-skills

v0.1.0Apache-2.0

Field notes for building on Gemini Enterprise Agent Platform: ADK vs A2A registration, A2UI rendering, Agent Identity, Agent Gateway, what crosses an agent-to-agent hop, and where state lives across Sessions and Memory Bank.

agent-platform-skills

Skills for building on Gemini Enterprise Agent Platform — the parts that are easy to get wrong and slow to diagnose: which registration mode can render A2UI, what authenticates on each path, how Agent Identity changes outbound calls, how to tell a rejected credential from a missing permission, and which store actually keeps data across restarts and users.

Derived from running deployments. Where a claim was verified by observation rather than taken from documentation, the skill marks it; where documentation and observed behaviour disagree, both are recorded.

Skills

SkillUse it for
agent-platform-architectureDesigning. The platform constraints that govern how agents fit together, and the six architectures they permit. One agent or several, Agent Identity or not, whether you need Agent Gateway, how to expose an agent in Gemini Enterprise.
agent-platform-a2aDebugging. 401 vs 403, identifying the real caller from audit logs, Agent Identity principal forms, reading permissions out of errors, and the conditions under which a broken deployment reports success.
agent-platform-implementationBuilding and verifying. The deployment runs and is quietly wrong: what actually crosses an agent-to-agent hop, why a caller invents data a sub-agent holds, guards a model cannot game, how to build an A2UI surface that survives the round trip, and the verification traps that report a score unrelated to your agent.
agent-platform-statePersisting. Where data lives and what survives: the three stores and their lifetimes, why app:-prefixed state does not scope on Agent Runtime, memory scopes and sharing a collection across users, and which store fits which workload.

The split is design, build, operations, and state, so that none crowds out the others: the architecture skill states the constraints and the designs they permit, the implementation skill covers what goes wrong once it runs without erroring, the debugging skill covers failure modes and how to identify them, and the state skill covers where data lives and what survives a restart.

Install

Both installers read the skills/ directory at the repo root.

# Claude Code (global)
npx -y skills add https://github.com/alanblythe/agent-platform-skills -y --agent claude-code -g

# Project scope instead of global — drop the -g and run from the project directory
npx -y skills add https://github.com/alanblythe/agent-platform-skills -y --agent claude-code

# Antigravity / Gemini CLI
npx -y skills add https://github.com/alanblythe/agent-platform-skills -y --agent antigravity -g

To use it without installing, point your agent at skills/agent-platform-a2a/SKILL.md directly — it is a single self-contained Markdown file.

Layout

plugin.json               # Claude Code plugin manifest (duplicated in .claude-plugin/)
.claude-plugin/plugin.json
gemini-extension.json     # Antigravity / Gemini extension manifest
skills/
  README.md
  agent-platform-architecture/
  agent-platform-implementation/
  agent-platform-a2a/
    SKILL.md              # YAML frontmatter (name, description, metadata) + body
  agent-platform-state/

Each skill is a directory under skills/ containing a SKILL.md whose frontmatter carries name and a description written as trigger phrases — that description is what an agent matches against when deciding whether the skill is relevant, so it names the symptoms ("A2UI renders as raw JSON", "401 between agents") rather than summarising the contents.

Scope

Deliberately not covered: writing agent code, evaluation methodology, and scaffolding. Those are handled by the google-agents-cli skills, which this complements rather than replaces — install both.

The one exception is a section of agent-platform-implementation: where the eval harness reports a number that is not about your agent — a stale trace regraded as if it were new, a metric grading the transport your users are not served, a multi-turn case whose earlier turns were narrated rather than run. Choosing metrics, dataset schema and the flywheel itself remain with google-agents-cli.

License

Apache-2.0