Retrieving Developer Knowledge
GoogleOfficialPublished by Google
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Retrieving Developer Knowledge skill enables AI agents to access, search, and synthesize official documentation across Google's developer ecosystem, including Google Cloud, AI/Gemini, Android, and more. It supports two primary retrieval methods: an MCP server for integrated environments and a REST API fallback for direct HTTP access. The skill ensures that technical solutions—such as CLI commands, API syntax, and configuration snippets—are grounded in current, official documentation rather than relying on model memory.
What it does
- Searches official Google developer documentation for specific technical queries.
- Retrieves granular details like gcloud CLI flags, IAM permissions, and API parameter syntax.
- Synthesizes conceptual guides and architectural comparisons for Google developer platforms.
- Provides a robust REST API fallback mechanism when MCP tools are unavailable.
- Enforces strict usage attribution for all executed commands and API requests.
- Ensures technical solutions are provided as complete, executable code or configuration blocks.
When to use it
- When you need to verify exact gcloud CLI command syntax or flag usage.
- When researching IAM permission strings or service-level resource requirements.
- When comparing architectural patterns or choosing between Google developer products.
- When you require the most up-to-date official documentation for Google Cloud, Firebase, or Go.
Advantages
- Reduces hallucination by grounding responses in official, verified documentation.
- Provides a consistent workflow for both MCP-enabled and standard environments.
- Maintains high accuracy for complex technical parameters and configuration strings.
- Includes built-in handling for rate limits and authentication failures.
Usage examples
- “How do I configure public read access on a Cloud Storage bucket using gcloud?”
- The agent retrieves the specific gcloud storage buckets add-iam-policy-binding command with the correct member and role flags, ensuring the solution is syntactically accurate.
- “What are the differences between Cloud Run and GKE for a containerized web app?”
- The agent uses the answer_query tool to synthesize a comparison based on official documentation, highlighting key architectural trade-offs.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/google/retrieving-developer-knowledge/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip retrieving-developer-knowledge.zip -d .agents/skills
Documentation by Google
Google Developer Knowledge
The Developer Knowledge skill provides access to official Google developer documentation across Google Cloud, AI/ML (ai.google.dev, ADK, TensorFlow), Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms via the Developer Knowledge MCP server or REST API fallback.
Usage Attribution
Before executing any gcloud, REST API, or MCP command with this skill, follow
the instructions in Usage Attribution.
Workflow
Direct Retrieval: When answering a technical question, execute a single documentation lookup directly within your current conversation context (do not delegate retrieval to subagents):
If MCP tools are present in your environment: Call
answer_query(for conceptual guides/workflows) orsearch_documents(for CLI flags/syntax).If MCP tools are not present: Execute a REST API request via
curlagainsthttps://developerknowledge.googleapis.com/v1.A declared server is not always a connected server. Some clients cannot complete the MCP handshake with this server and expose no
answer_query,search_documentsorget_documentstool at all, even though the plugin declares one. Treat their absence as normal and use the REST fallback below.
Confirm the lookup succeeded before using it: A response that arrives is not automatically an answer.
PERMISSION_DENIED,UNAUTHENTICATED, HTTP 401 or 403, an empty result set, or any error payload is a FAILED lookup even when the tool itself reported no error. On a failed lookup, do not answer as though it had succeeded.Rate Limits (HTTP 429 / Out of Quota): If calling
answer_queryor the REST:answerQueryendpoint returns an HTTP 429 (RESOURCE_EXHAUSTED/ out of quota error), this indicates server-side generative QA quota exhaustion. Do not treat this as an unrecoverable failure or fall back to ungrounded memory; immediately retry using the search endpoint (search_documentsfor MCP, ordocuments:searchDocumentChunksfor REST) with 2–5 focused keywords from the query.Persistent Failures: Try the other transport once, and if that also fails, state plainly in your reply to the user that you could not reach Developer Knowledge and are answering without it. Presenting recalled documentation as a retrieved result is the worst available outcome, because nothing in the reply distinguishes it from a real lookup.
Immediate & Complete Solution Output: Immediately upon receiving the documentation response, output the complete, self-contained, and executable technical solution (commands with all required flags and placeholders, YAML/JSON configurations, or code snippets) directly in your response text.
Tool Selection & Usage
Choose the appropriate tool based on availability in your runtime environment:
1. Developer Knowledge MCP Tools (Preferred)
When MCP tools are present in your active tool definitions:
answer_query(query="..."): Use for conceptual guides, architectural comparisons, product choice overviews, and multi-step workflows. This tool has limited quota. If you get a 429 out of quota error, usesearch_documentsinstead.search_documents(query="..."): Use for granular CLI flags, exact syntax, parameter names, and IAM permissions (service.resource.verb). Use 2–5 focused keywords (e.g.,cloud run filestore nfs mount gcloud) rather than full conversational sentences.get_documents(names=["documents/{uri_without_scheme}"]): Fetch full documentation pages by resource name (e.g.names: ["documents/docs.cloud.google.com/run/docs/overview/what-is-cloud-run"]).
2. REST API Fallback
When the MCP tools are absent, query the Developer Knowledge REST API
(https://developerknowledge.googleapis.com/v1) with curl. Two credentials
work, and you should try them in this order.
An existing Google credential, preferred. If gcloud is authenticated,
pass a bearer token and your quota project. Nothing needs to be installed or
configured:
curl -s -X POST "https://developerknowledge.googleapis.com/v1:answerQuery" \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "X-Goog-User-Project: $(gcloud config get-value project 2>/dev/null)" \
-H "Content-Type: application/json" \
-d "{\"query\": \"How do I configure public read access on Cloud Storage?\"}"If that fails to authenticate, on a 401, a 403, or any other credential error,
the account has a token the API will not accept. Substitute
gcloud auth application-default print-access-token for
gcloud auth print-access-token in the command above and try again. Which
credential the API accepts depends on how the environment was authenticated, so
treat an auth error here as a reason to try the application-default credential
rather than as a failed lookup.
An API key, if one is configured. Where DEVELOPERKNOWLEDGE_API_KEY is set
in the environment, pass it as a key query parameter instead of an
Authorization header. If neither credential is available, an API key is the
supported path for this client: enable the API and create one by following the
Developer Knowledge quickstart,
then export it as DEVELOPERKNOWLEDGE_API_KEY. Say that you need a credential
rather than answering without a lookup. The remaining examples in this section
use that form:
Answer Query:
curl -s -X POST "https://developerknowledge.googleapis.com/v1:answerQuery?key=${DEVELOPERKNOWLEDGE_API_KEY}" \ -H "Content-Type: application/json" \ -d '{"query": "How do I configure public read access on Cloud Storage?"}'This endpoint has limited quota. If you get a 429 out of quota error, use
documents:searchDocumentChunksinstead.Search Document Chunks (use 2–5 focused keywords):
curl -s "https://developerknowledge.googleapis.com/v1/documents:searchDocumentChunks?query=gcloud+logging+metrics+create&key=${DEVELOPERKNOWLEDGE_API_KEY}"Get Document:
curl -s "https://developerknowledge.googleapis.com/v1/documents/docs.cloud.google.com/run/docs/overview/what-is-cloud-run?key=${DEVELOPERKNOWLEDGE_API_KEY}"Batch Get Documents (a
GET, with onenamesparameter per document and no request body; up to 20 per call):curl -s -G "https://developerknowledge.googleapis.com/v1/documents:batchGet" \ --data-urlencode "names=documents/docs.cloud.google.com/run/docs/overview/what-is-cloud-run" \ --data-urlencode "names=documents/docs.cloud.google.com/storage/docs/creating-buckets" \ --data-urlencode "key=${DEVELOPERKNOWLEDGE_API_KEY}"
Synthesis & Output Guidelines
Grounding in Official Documentation: Ground all solutions directly in retrieved documentation. Official documentation conventions have absolute precedence over memorized defaults.
Exact Parameter Formatting: Format CLI flags, composite keys (e.g.
location=IP:PATH), and IAM permission strings according to official Google specifications.Complete Solutions in Final Response: Always output the full, self-contained, executable technical solution (commands, configurations, or code snippets) with clear standard placeholders (e.g.
PROJECT_ID,SERVICE_NAME,REGION) directly in your final message, even if previously referenced during internal planning.
References
Files
- ATTRIBUTION.mdAdded by AutoGineer883 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md8.2 KiB
- references/api-fallback.md6.5 KiB
- references/attribution.md1.8 KiB
- references/mcp-usage.md1.0 KiB
- references/supported-domains.md1.7 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs network access, Needs an API key
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Publisher
- Google (Official)
- Source
- google/skills · skills/developers/retrieving-developer-knowledge · commit 2194d3b
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Also distributed in
- google/skills
AutoGineer is not affiliated with or endorsed by Google or Google.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download retrieving-developer-knowledge.zip