generate-manifest

name	generate-manifest
description	Scan an ADK recipe directory and generate a manifest.yaml for it based on the schema at .github/schemas/manifest-schema.json. Use when the user wants to create or generate a manifest.yaml for a recipe under core/ or contrib/.

Generate Manifest

Scan a recipe directory and produce a valid manifest.yaml for it, then validate it against the schema.

Process

1. Identify the target recipe

The user will provide a path to a recipe directory (e.g. core/rag-agent-search). If they don't, ask for it before proceeding.

2. Read the schema

Read .github/schemas/manifest-schema.json from the repo root to understand the current required and optional fields, allowed enum values, and constraints. Do not rely on memory — always read the live schema file so changes to it are automatically picked up.

3. Scan the recipe directory and infer only what the code proves

Read the following files if they exist:

• pyproject.toml / requirements.txt — primary language (for language field)
• app/agent.py or equivalent entry point — single vs multi-agent, agent count
• Makefile — deploy targets (determines deployable)
• app/ source files — stateful writes, datasource patterns
• AGENTS.md — architecture notes if present

Field-by-field rules — read carefully before filling any field:

Field	Rule
type	Infer from code: standalone if it has its own runnable entry point; module if it is only importable.
deployable	OPTIONAL. true only if a single make target or script deploys everything with no manual steps. Omit the field entirely if false (schema default is false).
status	Always "active" unless there is explicit evidence of abandonment.
language	Read from file extensions or pyproject.toml. Never guess.
description	Read README.md and AGENTS.md only (author-written intent, not code). Write a draft of at most 15 words summarising what the recipe does. Append the comment # TODO: review and expand this draft description. If neither file exists or the intent is unclear, fall back to "DESCRIPTION" with the same TODO comment.
architecture.agent	Infer from code only: count Agent( or equivalent constructor calls. single or multi. Omit the whole architecture block if uncertain.
architecture.stateful	Infer from code: true only if the recipe writes persistently to an external system (DB, vector store, GCS) during normal operation — not just one-time setup.
architecture.datasources	Infer from code: hardcoded = data literals in source; local = files bundled in repo; external = live systems queried at runtime. Can be multiple.
dependencies	Include the block but comment it out entirely. Do NOT infer library or service names — GCP product names change and guesses will be wrong. Use the commented-out sample shown in the template.
ownership.team	Always use the placeholder "YOUR TEAM NAME". Never invent or infer a team name.
ownership.poc	Always use the placeholder "your-github-id". Never invent or infer a GitHub ID from email addresses, file authors, or any other source.
ownership.contributors	OPTIONAL. Omit the field entirely. Leave a commented-out sample line so the author knows it exists. Never infer contributor IDs.
tags	Include but comment out entirely, with a sample entry showing the expected style. Do NOT generate real tags — tag choices are the author's call.

4. Make judgment calls explicitly

Before writing the manifest, briefly state what you found for each inferred field (type, deployable, architecture.*) and cite the specific file/line that supports your conclusion. This lets the user catch errors before they land in the file.

5. Write the manifest

Write manifest.yaml to the root of the recipe directory. Follow this format exactly — include inline comments for every field documenting the allowed values, matching the style of the reference manifest in tools/ or core/:

# REQUIRED — Recipe type.
#   standalone : complete, runnable recipe with its own entry point
#   module     : importable sub-agent meant to be orchestrated by another workflow
type: "..."

# OPTIONAL — One-click/one-command deployable with no manual steps? Omit if false (default).
# deployable: true

# REQUIRED — Maintenance status.
#   active | inactive
status: "active"

# REQUIRED — Primary programming language.
#   python | java | go | kotlin | typescript
language: "..."

# REQUIRED — Short description of what this recipe does and the value it provides.
description: "..."  # TODO: review and expand this draft description

# OPTIONAL — Agent architecture details. Omit the whole block if unknown.
architecture:
  # single | multi
  agent: "..."

  # true  : recipe writes persistently to an external system during normal operation
  # false : read-only at runtime
  stateful: false

  # One or more of: hardcoded | local | external
  #   hardcoded : data literals embedded in source code
  #   local     : files bundled in the repo
  #   external  : live system queried at runtime (DB, API, etc.)
  datasources:
    - "..."

# OPTIONAL — Library and service dependencies.
# dependencies:
#   libraries:
#     - "ADK"
#     - "pandas"     # replace with actual libraries used
#   services:
#     - "GCP Project"
#     - "Cloud Run"  # replace with actual GCP/external services used

# REQUIRED — Ownership. team and poc are required; contributors is optional.
ownership:
  team: "YOUR TEAM NAME"  # TODO: replace with your team name
  poc: "your-github-id"   # TODO: replace with the GitHub ID of the primary contact
  # contributors:          # TODO: optional — add GitHub IDs of additional contributors
  #   - "github-id-1"

# OPTIONAL — Classification tags (technology names, patterns, use-case keywords).
# tags:
#   - "rag"
#   - "gemini"

Omit architecture entirely if none of its sub-fields can be determined from the code.

6. Validate

After writing the manifest, run the validation tool from the tools/ directory:

cd tools && uv run --active validate manifest <recipe-path>

If validation fails, fix the errors and re-validate until it passes. Report the final [PASS] output to the user. Do not change or modify any other files in the repository. Also do not commit the changes.

7. Report back

Tell the user:

1. What was inferred from the code and which file/line supports each inference.
2. Which fields need human input: description (draft generated — must be reviewed and expanded), ownership.team, ownership.poc (placeholders), and dependencies/tags (commented out, ready to uncomment and fill in).