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Planetscale Traffic Control Recommendations

PlanetScaleOfficialPublished by PlanetScale

  • Skill
  • Research and analysis
  • Cloud and DevOps
  • MIT
  • No issues found

From the author

Build a safe recommendation plan for PlanetScale Postgres Database Traffic Control budgets and rules without applying them.
— the description by PlanetScale

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured methodology for planning database traffic management in PlanetScale Postgres. It guides the user through analyzing current query patterns, identifying traffic slices, and proposing budget configurations that protect critical application paths from resource-intensive operations. The skill emphasizes a safe, observational approach by recommending 'warn' mode before any enforcement, ensuring that proposed rules are validated against actual traffic behavior without impacting production availability.

What it does

  • Analyzes database insights to identify traffic slices like exports, reports, and background jobs.
  • Recommends specific budget modes, prioritizing 'warn' mode for safe rollout.
  • Suggests strategies for tag-based and fingerprint-based traffic control rules.
  • Provides a standardized output format for proposed budget plans including risk and rollback assessments.
  • Ensures all recommendations include necessary caveats regarding the scope and limitations of traffic control.
  • Explicitly prevents the creation or modification of actual database budgets.

When to use it

  • When planning to protect critical application traffic from runaway queries or spikes.
  • Before implementing traffic control for background jobs, agents, or third-party integrations.
  • When you need to isolate expensive query fingerprints that lack proper tagging.
  • During the design phase of database resource management to ensure safe, staged rollouts.

Advantages

  • Promotes a safe, observational approach to database traffic management.
  • Helps prevent production outages by requiring 'warn' mode before enforcement.
  • Standardizes the documentation of traffic control plans and rollback procedures.
  • Encourages granular budget allocation to improve visibility into resource consumption.

Usage examples

“Create a traffic control recommendation plan for our background worker service.”
The agent analyzes the worker service traffic, identifies relevant tags, and proposes a 'warn' mode budget with a clear observation and rollback plan.
“How should I handle expensive report queries in PlanetScale?”
The agent suggests a budget strategy targeting specific report tags or routes, emphasizing an initial 'warn' phase to monitor impact before considering enforcement.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/planetscale/planetscale-traffic-control-recommendations/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip planetscale-traffic-control-recommendations.zip -d .agents/skills

Documentation by PlanetScale

Database Traffic Control recommendations

Purpose

For PlanetScale Postgres, recommend Traffic Control budgets and rules that protect critical traffic from runaway queries, traffic spikes, batch jobs, agents, and third-party integrations. Do not create or change budgets without approval.

Preconditions

Run this skill only for PlanetScale Postgres.

Before recommending rules, inspect:

  • Current budgets and rules.

  • Insights query patterns.

  • Current query tags.

  • Application routes and jobs.

  • Known critical paths.

  • Known expensive non-critical paths.

  • Active incidents or recent anomalies.

If query tags are missing, recommend tagging first unless a fingerprint-specific rule is clearly needed for an immediate known offender.

Candidate traffic slices

Look for:

  • Exports.

  • Reports.

  • Search endpoints.

  • Admin dashboards.

  • Backfills.

  • Workers and queues.

  • Webhooks from third-party systems.

  • BI tools.

  • Agent-generated read queries.

  • High-frequency polling.

  • Known expensive query fingerprints.

  • Customer-triggered endpoints with high variance.

Budget modes

Recommend in this order:

  1. warn mode first for normal rollout.

  2. Observe warnings and false positives.

  3. Tune tags, fingerprints, and thresholds.

  4. Move to enforce only with explicit approval and an emergency rollback path.

Do not recommend starting directly in enforce unless there is an active incident and the operator explicitly asks for emergency mitigation.

Rule strategy

Prefer tag-based rules when tags are stable and bounded:

  • source=agent

  • source=bi

  • feature=export

  • feature=report

  • route=/admin/reports

  • job=DailyBackfill

  • service=analytics-worker

Use fingerprint rules when:

  • A specific known query pattern is dangerous.

  • Tagging is missing or unreliable.

  • The query source is hard to attribute.

Use a separate budget for each materially different traffic class.

Do not combine unrelated traffic in one budget because it hides who is consuming the budget.

Suggested default budgets

Use these as recommendation patterns, not as values to apply blindly.

Agent budget

Target: queries tagged source=agent or source=mcp.

Intent: prevent agents from starving application traffic.

Mode: start in warn.

Recommendation: agents should prefer replicas and read-only scopes. Writes require human approval.

Export/reporting budget

Target: feature=export, feature=report, or specific report route/job.

Intent: keep customer-triggered reporting from consuming all database resources.

Mode: start in warn; consider enforce after observation.

Background job budget

Target: worker service, queue, or job tags.

Intent: prevent backfills and retries from starving interactive traffic.

Mode: warn first; enforce only after confirming queue backpressure behavior.

Third-party integration budget

Target: source=integration, partner-specific bounded tags, or route templates for inbound integration calls.

Intent: isolate unpredictable partner behavior.

Mode: warn first.

Known fingerprint budget

Target: specific expensive query fingerprint.

Intent: contain a known pathological query while code or schema fixes are developed.

Mode: warn first unless emergency.

“Each tag value” strategy

When PlanetScale supports applying a budget separately for each unique value of a selected tag, recommend it for bounded tags such as:

  • application

  • service

  • route when normalized

  • job

  • feature

  • source

Do not recommend it for unbounded tags such as user IDs, request IDs, raw tenant IDs, emails, UUIDs, or raw URLs.

Limits and caveats to include

Every recommendation must explain:

  • Traffic Control limits resource use; it does not replace query tuning.

  • It is not a web application firewall.

  • It does not replace application-level rate limits.

  • Limits are guardrails, not exact guarantees for every failure mode.

  • Bad tags create bad rules.

  • Enforce mode can reject queries and affect application behavior.

Output format

For each proposed budget:

  • Budget name.

  • Target branch.

  • Mode: off, warn, or enforce.

  • Matched traffic slice.

  • Rule type: tag, fingerprint, keyspace, query kind.

  • Proposed tags or fingerprint.

  • Limit rationale.

  • Queries seen in Insights that justify it.

  • Safety risk.

  • Test/observe plan.

  • Rollback plan.

  • Approval requirement.

End with:

“No Traffic Control budgets or rules have been created, updated, deleted, or enforced.”

Files

LICENSE

MIT License

Copyright (c) 2026 PlanetScale

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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.

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
PlanetScale
Publisher
PlanetScale (Official)
Source
planetscale/skills · planetscale-traffic-control-recommendations · commit 999045c
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download planetscale-traffic-control-recommendations.zip