cmux Backend Rules
manaflow-ai/cmux
Sets the backend TypeScript and Cloud VM rules for cmux: Effect-based services, thin route handlers, Postgres as source of truth, migrations and provider secrets.
Official agent skill
Planetscale Webhook Automation Recommendations
Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.
Install Planetscale Webhook Automation Recommendations
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendations --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .claude/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .claude/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendationsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .agents/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .agents/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .cursor/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .cursor/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/planetscale/skills.git --path planetscale-webhook-automation-recommendations--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .gemini/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .gemini/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendationsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .github/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .github/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install planetscale/skills planetscale-webhook-automation-recommendations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/planetscale/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/planetscale-webhook-automation-recommendations .opencode/skills/planetscale-webhook-automation-recommendations && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "planetscale-webhook-automation-recommendations" agent skill from https://github.com/planetscale/skills/tree/main/planetscale-webhook-automation-recommendations into .opencode/skills/planetscale-webhook-automation-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "planetscale-webhook-automation-recommendations", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
planetscale-webhook-automation-recommendations- GitHub stars
- 133
- Token cost
- ~1.5k tokens
- SKILL.md length
- 641 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.
- Works in 8 steps: Receive branch.anomaly. → Verify signature. → Queue job. → …
- Tasks that involve Webhooks
- SKILL.md covers Purpose, Webhook design principle, Events to evaluate and Recommended routing, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Planetscale Webhook Automation Recommendations is an agent skill from planetscale/skills, published by the product's own GitHub organization. Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Webhooks. It works with PlanetScale. The repository describes itself as: Skills that help you configure and get the most out of PlanetScale. The licence is MIT.
When your agent uses it
- Tasks that involve Webhooks
Example prompts
- “/planetscale-webhook-automation-recommendations”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Receive branch.anomaly.
- Verify signature.
- Queue job.
- Fetch anomaly details and relevant Insights query patterns.
- Locate code path by SQLCommenter tags and repository search.
- Classify as schema, code, Traffic Control, or unknown.
- Generate report and optional PR.
- Ask human to approve database-affecting work.
What it can do on your machine
Read from SKILL.md and the folder at commit 999045c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Planetscale Webhook Automation Recommendations loads about 1.5k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 641 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from planetscale/skills at commit 999045c, republished under its MIT licence (© planetscale). 641 words, ~1,503 tokens.
Download SKILL.mdSave it as
.claude/skills/planetscale-webhook-automation-recommendations/SKILL.md (or your agent's skills folder).- name
- planetscale-webhook-automation-recommendations
- description
- Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.
Webhook automation recommendations
Purpose
Review and recommend PlanetScale webhooks that notify humans and trigger safe automation. Do not create or update webhooks without approval.
Webhook design principle
Webhooks may trigger automation, but automation must produce recommendations, issues, branches, or pull requests by default. It must not directly mutate production databases or production application behavior without explicit human approval.
Events to evaluate
General and Postgres
branch.anomaly: new Insights anomaly.branch.out_of_memory: Postgres out-of-memory event.branch.primary_promoted: primary failover/promotion.branch.ready: branch created and ready.branch.sleeping: branch sleeping.branch.start_maintenance: maintenance starting.cluster.storage: storage threshold or growth event.database.access_request: access request.branch.schema_recommendation: schema recommendation event when available.webhook.test: test event.
Vitess deploy lifecycle
deploy_request.openeddeploy_request.queueddeploy_request.in_progressdeploy_request.pending_cutoverdeploy_request.schema_applieddeploy_request.erroreddeploy_request.reverteddeploy_request.closedkeyspace.storage
Recommended routing
Human alerting
Send these to incident or operations channels:
branch.anomalybranch.out_of_memorybranch.primary_promotedbranch.start_maintenancecluster.storagekeyspace.storagedeploy_request.erroreddeploy_request.reverted
Engineering notification
Send these to Slack, Linear/Jira, or deployment channels:
deploy_request.openeddeploy_request.queueddeploy_request.in_progressdeploy_request.pending_cutoverdeploy_request.schema_applieddeploy_request.closedbranch.schema_recommendation
Agent intake queue
Send these to an agent-safe workflow:
branch.anomalybranch.schema_recommendationdeploy_request.erroredcluster.storagekeyspace.storage
Agent output may include, without approval:
- Triage summary, probable cause, linked Insights/query patterns.
- Recommended schema, code, Traffic Control, or operational change.
- Pull request against application code.
- Development branch with DDL or migration applied.
- Open deploy request into a review-protected branch.
- Issue or ticket.
Agent output must not cross the review gate on its own: no production
deploys, PR merges, Traffic Control enforcement, credential rotation, or
network changes — those require human action or a standing authorization
per ../planetscale-autonomous-execution-mode/SKILL.md.
Webhook receiver requirements
Recommend only receivers that meet these requirements:
- HTTPS endpoint.
- Fast 2xx response; expensive work is queued asynchronously.
- No dependency on following redirects.
- Signature verification using PlanetScale webhook signature header and the webhook secret.
- Idempotency by event ID or timestamp/resource tuple.
- Dead-letter queue or retry-safe logging.
- Human-readable audit trail.
- Clear owner and escalation path.
- Secret rotation procedure.
Recommended automation flows
Anomaly to PR flow
- Receive
branch.anomaly. - Verify signature.
- Queue job.
- Fetch anomaly details and relevant Insights query patterns.
- Locate code path by SQLCommenter tags and repository search.
- Classify as schema, code, Traffic Control, or unknown.
- Generate report and optional PR.
- Ask human to approve database-affecting work.
Show full SKILL.md (282 more words)Show less
Schema recommendation to branch/deploy flow
For Vitess:
- Receive
branch.schema_recommendation. - Fetch recommendation details.
- Apply the DDL to a development branch.
- Open a pull request with fingerprint, metrics, and expected effect.
- Open the deploy request — the DR and PR together are the reviewable unit; opening them requires no approval.
- Deploy on human approval, or autonomously under a standing
authorization that allowlists this deploy class
(
../planetscale-autonomous-execution-mode/SKILL.md).
For Postgres:
- Receive
branch.schema_recommendation. - Fetch recommendation details.
- Convert DDL to application migration.
- Test on a non-production branch and record the result in the PR.
- Open PR.
- Apply to production on merge via the deployment pipeline, or on explicit approval where no pipeline exists.
Deploy request lifecycle flow for Vitess
- Notify when opened.
- Validate owner and linked application PR.
- Alert when queued or in progress.
- Alert strongly when errored or reverted.
- Notify pending cutover and require owner acknowledgement for gated deployments.
- Record schema applied and correlate with application deploy.
Anti-patterns to block
Do not recommend:
- Webhook directly runs production DDL, bypassing the PR/deploy-request workflow. (Driving the DDL through a branch, PR, and deploy request is the supported pattern, not an anti-pattern.)
- Webhook applies schema recommendations straight to production with no reviewable artifact.
- Webhook directly enforces Traffic Control.
- Webhook directly changes IP restrictions.
- Webhook directly rotates credentials.
- Webhook posts secrets or raw SQL with literals into public Slack channels.
- Webhook receiver ignores signature verification.
- Webhook receiver does long-running work before returning 2xx.
Output
Return:
- Existing webhook inventory.
- Missing recommended subscriptions.
- Destination quality review.
- Signature verification status.
- Automation opportunities.
- Unsafe automation risks.
- Proposed webhook changes requiring approval.
End with:
“No webhooks or automation endpoints have been created, updated, or deleted.”
© planetscale, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in planetscale-webhook-automation-recommendations of planetscale/skills.
Open the folder on GitHubat commit 999045c
Compare with similar skills
Planetscale Webhook Automation Recommendations next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Planetscale Webhook Automation Recommendations this skillplanetscale/skills | 133 | — | ~1.5k | Automated safety check: Pass | MIT | |
| cmux Backend Rulesmanaflow-ai/cmux | 28k | 1 repos | ~682 | Automated safety check: Pass | Custom licence | |
| Novu Design Workflownovuhq/novu | 40k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Golivemikehasa/golive-skill | 1.2k | — | ~13k | Automated safety check: Notes | MIT | |
| Stripe Appsfossasia/eventyay | 1.7k | 1 repos | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Dingtalk Messageagentscope-ai/ReMe | 3.6k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
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Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS).
Stripe Apps
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Dingtalk Message
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钉钉消息发送技能。支持企业内部机器人（批量单聊/群聊）和 Webhook 自定义机器人两种接入方式，支持多机器人管理，支持文本、Markdown、链接、ActionCard、FeedCard等多种消息类型。
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Related
Works with
Categories
Questions about Planetscale Webhook Automation Recommendations
What does Planetscale Webhook Automation Recommendations do?
Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows. Planetscale Webhook Automation Recommendations is an agent skill from planetscale/skills, published by the product's own GitHub organization. Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.
When should I use Planetscale Webhook Automation Recommendations?
Planetscale Webhook Automation Recommendations fits situations like: tasks that involve Webhooks.
How do I install Planetscale Webhook Automation Recommendations in Claude Code?
Run `npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a claude-code`. Or copy the skill folder (planetscale-webhook-automation-recommendations in planetscale/skills) into .claude/skills/planetscale-webhook-automation-recommendations in your project. Claude Code loads it when a task matches its description.
How do I install Planetscale Webhook Automation Recommendations in Codex?
Run `npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a codex`. Or copy the skill folder (planetscale-webhook-automation-recommendations in planetscale/skills) into .agents/skills/planetscale-webhook-automation-recommendations in your project. Codex loads it when a task matches its description.
Can I use Planetscale Webhook Automation Recommendations in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add planetscale/skills --skill planetscale-webhook-automation-recommendations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/planetscale-webhook-automation-recommendations, .gemini/skills/planetscale-webhook-automation-recommendations, .github/skills/planetscale-webhook-automation-recommendations and .opencode/skills/planetscale-webhook-automation-recommendations in your project.
What does Planetscale Webhook Automation Recommendations need to run?
SKILL.md names no scripts, command-line tools or credentials: Planetscale Webhook Automation Recommendations is instructions for the agent only.
Does Planetscale Webhook Automation Recommendations access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Planetscale Webhook Automation Recommendations safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Planetscale Webhook Automation Recommendations use?
Planetscale Webhook Automation Recommendations is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Planetscale Webhook Automation Recommendations use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Planetscale Webhook Automation Recommendations?
Skills that share tags, products or a category with Planetscale Webhook Automation Recommendations: cmux Backend Rules (manaflow-ai/cmux, 28k stars), Novu Design Workflow (novuhq/novu, 40k stars), Golive (mikehasa/golive-skill, 1.2k stars) and Stripe Apps (fossasia/eventyay, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Planetscale Webhook Automation Recommendations?
planetscale (a GitHub organization, an official publisher) maintains it in planetscale/skills, which has 133 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.
Source: planetscale/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.