sentry-create-alert

getsentry/sentry-agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-create-alert
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summary

Create alerts via Sentry's workflow engine API.

skill.md

Create Sentry Alert

Create alerts via Sentry's workflow engine API.

Note: This API is currently in beta and may be subject to change. It is part of New Monitors and Alerts and may not be viewable in the legacy Alerts UI.

Invoke This Skill When

  • User asks to "create a Sentry alert" or "set up notifications"
  • User wants to be emailed or notified when issues match certain conditions
  • User mentions priority alerts, de-escalation alerts, or workflow automations
  • User wants to configure Slack, PagerDuty, or email notifications for Sentry issues

Prerequisites

  • curl available in shell
  • Sentry org auth token with alerts:write scope (also accepts org:admin or org:write)

Phase 1: Gather Configuration

Ask the user for any missing details:

Detail Required Example
Org slug Yes sentry, my-org
Auth token Yes sntryu_... (needs alerts:write scope)
Region Yes (default: us) usus.sentry.io, dede.sentry.io
Alert name Yes "High Priority De-escalation Alert"
Trigger events Yes Which issue events fire the workflow
Conditions Optional Filter conditions before actions execute
Action type Yes email, slack, or pagerduty
Action target Yes User email, team, channel, or service

Phase 2: Look Up IDs

Use these API calls to resolve names to IDs as needed.

API="https://{region}.sentry.io/api/0/organizations/{org}"
AUTH="Authorization: Bearer {token}"

# Find user ID by email
curl -s "$API/members/" -H "$AUTH" | python3 -c "
import json,sys
for m in json.load(sys.stdin):
  if m.get('email')=='USER_EMAIL' or m.get('user',{}).get('email')=='USER_EMAIL':
    print(m['user']['id']); break"

# List teams
curl -s "$API/teams/" -H "$AUTH" | python3 -c "
import json,sys
for t in json.load(sys.stdin):
  print(t['id'], t['slug'])"

# List integrations (for Slack/PagerDuty)
curl -s "$API/integrations/" -H "$AUTH" | python3 -c "
import json,sys
for i in json.load(sys.stdin):
  print(i['id'], i['provider']['key'], i['name'])"

Phase 3: Build Payload

Trigger Events

Pick which issue events fire the workflow. Use logicType: "any-short" (triggers must always use this).

Type Fires when
first_seen_event New issue created
regression_event Resolved issue recurs
reappeared_event Archived issue reappears
issue_resolved_trigger Issue is resolved

Filter Conditions

Conditions that must pass before actions execute. Use logicType: "all", "any-short", or "none".

The comparison field is polymorphic — its shape depends on the condition type:

Type comparison format Description
issue_priority_greater_or_equal 75 (bare integer) Priority >= Low(25)/Medium(50)/High(75)
issue_priority_deescalating true (bare boolean) Priority dropped below peak
event_frequency_count {"value": 100, "interval": "1hr"} Event count in time window
event_unique_user_frequency_count {"value": 50, "interval": "1hr"} Affected users in time window
tagged_event {"key": "level", "match": "eq", "value": "error"} Event tag matches
assigned_to {"targetType": "Member", "targetIdentifier": 123} Issue assigned to target
level {"level": 40, "match": "gte"} Event level (fatal=50, error=40, warning=30)
age_comparison {"time": "hour", "value": 24, "comparisonType": "older"} Issue age
issue_category {"value": 1} Category (1=Error, 6=Feedback)
issue_occurrences {"value": 100} Total occurrence count

Interval options: "1min", "5min", "15min", "1hr", "1d", "1w", "30d"

Tag match types: "co" (contains), "nc" (not contains), "eq", "ne", "sw" (starts with), "ew" (ends with), "is" (set), "ns" (not set)

Set conditionResult to false to invert (fire when condition is NOT met).

Actions

Type Key Config
email config.targetType: "user" / "team" / "issue_owners", config.targetIdentifier: <id>
slack integrationId: <id>, config.targetDisplay: "#channel-name"
pagerduty integrationId: <id>, config.targetDisplay: <service_name>, data.priority: "critical"
discord integrationId: <id>, data.tags: tag list
msteams integrationId: <id>, config.targetDisplay: <channel>
opsgenie integrationId: <id>, data.priority: "P1"-"P5"
jira integrationId: <id>, data: project/issue config
github integrationId: <id>, data: repo/issue config

Full Payload Structure

{
  "name": "<Alert Name>",
  "enabled": true,
  "environment": null,
  "config": { "frequency": 30 },
  "triggers": {
    "logicType": "any-short",
    "conditions": [
      { "type": "first_seen_event", "comparison": true, "conditionResult": true }
    ],
    "actions": []
  },
  "actionFilters": [{
    "logicType": "all",
    "conditions": [
      { "type": "issue_priority_greater_or_equal", "comparison": 75, "conditionResult": true },
      { "type": "event_frequency_count", "comparison": {"value": 50, "interval": "1hr"}, "conditionResult": true }
    ],
    "actions": [{
      "type": "email",
      "integrationId": null,
      "data": {},
      "config": {
        "targetType": "user",
        "targetIdentifier": "<user_id>",
        "targetDisplay": null
      },
      "status": "active"
    }]
  }]
}

frequency: minutes between repeated notifications. Allowed values: 0, 5, 10, 30, 60, 180, 720, 1440.

Structure note: triggers.actions is always [] — actions live inside actionFilters[].actions.

Phase 4: Create the Alert

curl -s -w "\n%{http_code}" -X POST \
  "https://{region}.sentry.io/api/0/organizations/{org}/workflows/" \
  -H "Authorization: Bearer {token}" \
  -H "Content-Type: application/json" \
  -d '{payload}'

Expect HTTP 201. The response contains the workflow id.

Phase 5: Verify

Confirm the alert was created and provide the UI link:

https://{org_slug}.sentry.io/monitors/alerts/{workflow_id}/

If the org lacks the workflow-engine-ui feature flag, the alert appears at:

https://{org_slug}.sentry.io/alerts/rules/

Managing Alerts

# List all workflows
curl -s "$API/workflows/" -H "$AUTH"

# Get one workflow
curl -s "$API/workflows/{id}/" -H "$AUTH"

# Update a workflow
curl -s -X PUT "$API/workflows/{id}/" -H "$AUTH" -H "Content-Type: application/json" -d '{payload}'

# Delete a workflow
curl -s -X DELETE "$API/workflows/{id}/" -H "$AUTH"
# Expect 204

Troubleshooting

Issue Solution
401 Unauthorized Token needs alerts:write scope
403 Forbidden Token must belong to the target org
404 Not Found Check org slug and region (us vs de)
400 Bad Request Validate payload JSON structure, check required fields
User ID not found Verify email matches a member of the org
how to use sentry-create-alert

How to use sentry-create-alert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add sentry-create-alert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-create-alert

The skills CLI fetches sentry-create-alert from GitHub repository getsentry/sentry-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/sentry-create-alert

Reload or restart Cursor to activate sentry-create-alert. Access the skill through slash commands (e.g., /sentry-create-alert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.855 reviews
  • Chaitanya Patil· Dec 28, 2024

    sentry-create-alert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Bansal· Dec 28, 2024

    Keeps context tight: sentry-create-alert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sophia Kapoor· Dec 24, 2024

    Registry listing for sentry-create-alert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Omar Gupta· Dec 20, 2024

    sentry-create-alert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hana Okafor· Dec 20, 2024

    Useful defaults in sentry-create-alert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Perez· Dec 4, 2024

    sentry-create-alert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Omar Rao· Nov 27, 2024

    sentry-create-alert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Abebe· Nov 23, 2024

    sentry-create-alert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 19, 2024

    Solid pick for teams standardizing on skills: sentry-create-alert is focused, and the summary matches what you get after install.

  • Hana Abebe· Nov 19, 2024

    We added sentry-create-alert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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