gcp-troubleshoot
Troubleshoot GCP services using tool-first access (via MCP when available), falling back to the CLI only when necessary. Focus on Firestore, Cloud Run, networking, load balancers, IAM, Pub/Sub, Cloud SQL, and Storage.
What this skill does
# GCP Troubleshooting Skill ## General Guidance Always attempt to investigate issues using **tool-based access first** (MCP tools if configured). Only fall back to the **GCP CLI (gcloud)** when the tool cannot access required logs, metrics, or audit data. All investigations should: 1. Scope queries by service/resource type 2. Restrict by time window 3. Prefer targeted logs/metrics, not full dumps 4. Diagnose root cause based on error type 5. Suggest minimal, safe remediation steps --- ## Core Services Covered ### Firestore Common issues: - PERMISSION_DENIED - Missing indexes - Transaction contention - Quota exceeded Investigations: - Query Firestore logs filtered by `resource.type="firestore_database"` - Check latency, retries, aborted transactions ### Cloud Run Common issues: - Startup failures - Crash loops - IAM failures calling other services - Cold starts Investigations: - Query Cloud Run logs (`resource.type="cloud_run_revision"`) - Check revision rollout history - Look for Cloud SQL connector errors or storage access failures ### Networking & Load Balancers Common issues: - 5xx responses - Backend connection errors - Firewall denies Investigations: - Query load balancer logs (`resource.type="http_load_balancer"`) - Inspect backend health logs - Check VPC routes + firewall rules ### IAM Common issues: - PermissionDenied - Missing service account roles Investigations: - Query audit logs: `protoPayload.status.code != 0` - Identify the principal, resource, and role mismatch ### Pub/Sub Common issues: - Failed push deliveries - Ack deadlines exceeded - DLQ accumulation Investigations: - Filter subscription logs - Inspect subscriber errors and endpoint failures ### Cloud SQL Common issues: - Connection limit reached - Auth failures - Private network routing failures Investigations: - Cloud SQL logs (`resource.type="cloudsql_database"`) - Check database flags, failover events, connection counts ### Storage Buckets Common issues: - 403 Forbidden - Precondition checks - Signed URL failures Investigations: - Inspect Storage logs (`resource.type="gcs_bucket"`) - Check IAM, bucket policies, object existence --- ## Workflow 1. Identify target resource 2. Query scoped logs 3. Query metrics 4. Query audit logs if access or permission failures occur 5. Interpret patterns 6. Suggest actionable fixes --- ## When to Warn - Unscoped log queries - Very wide time ranges - Requests requiring IAM escalation
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.