Command-line interface for querying and managing Sentry issues, projects, organizations, and distributed traces.
Works with
Supports 15+ command categories: authentication, organizations, projects, issues, events, dashboards, repositories, teams, logs, spans, traces, and API calls
Includes AI-powered issue analysis via sentry issue explain and sentry issue plan using Seer AI
Offers JSON output for all major commands, enabling easy integration with scripts and tools
Provides flexible project
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsentry-cliExecute the skills CLI command in your project's root directory to begin installation:
Fetches sentry-cli from sentry/dev and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate sentry-cli. Access via /sentry-cli in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Help users interact with Sentry from the command line using the sentry CLI.
Best practices and operational guidance for AI coding agents using the Sentry CLI.
sentry issue view, sentry issue list, sentry trace view, etc. before constructing API calls manually or fetching external documentation.sentry schema to explore the API — if you need to discover API endpoints, run sentry schema to browse interactively or sentry schema <resource> to search. This is faster than fetching OpenAPI specs externally.sentry issue view <id> to investigate issues — when asked about a specific issue (e.g., CLI-G5, PROJECT-123), use sentry issue view directly.--json for machine-readable output — pipe through jq for filtering. Human-readable output includes formatting that is hard to parse..env files, source code, config defaults, and directory names. Only specify <org>/<project> when the CLI reports it can't detect the target or detects the wrong one.The sentry CLI follows conventions from well-known tools — if you're familiar with them, that knowledge transfers directly:
gh (GitHub CLI) conventions: The sentry CLI uses the same <noun> <verb> command pattern (e.g., sentry issue list, sentry org view). Flags follow gh conventions: --json for machine-readable output, --fields to select specific fields, -w/--web to open in browser, -q/--query for filtering, -n/--limit for result count.sentry api mimics curl: The sentry api command provides direct API access with a curl-like interface — --method for HTTP method, --data for request body, --header for custom headers. It handles authentication automatically. If you know how to call a REST API with curl, the same patterns apply.--json --fields to select specific fields and reduce output size. Run <command> --help to see available fields. Example: sentry issue list --json --fields shortId,title,priority,level,status--json when piping output between commands or processing programmatically--limit to cap the number of results (default is usually 10–100)sentry issue view PROJECT-123 over listing and filtering manuallysentry api for endpoints not covered by dedicated commandsproject delete, trial start<org>/<project> arguments# 1. Find the issue (auto-detects org/project from DSN or config)
sentry issue list --query "is:unresolved" --limit 5
# 2. Get details
sentry issue view PROJECT-123
# 3. Get AI root cause analysis
sentry issue explain PROJECT-123
# 4. Get a fix plan
sentry issue plan PROJECT-123
# 1. List recent traces (auto-detects org/project)
sentry trace list --limit 5
# 2. View a specific trace with span tree
sentry trace view abc123def456...
# 3. View spans for a trace
sentry span list abc123def456...
# 4. View logs associated with a trace
sentry trace logs abc123def456...
# Stream logs in real-time (auto-detects org/project)
sentry log list --follow
# Filter logs by severity
sentry log list --query "severity:error"
# Browse all API resource categories
sentry schema
# Search for endpoints related to a resource
sentry schema issues
# Get details about a specific endpoint
sentry schema "GET /api/0/organizations/{organization_id_or_slug}/issues/"
# GET request (default)
sentry api /api/0/organizations/my-org/
# POST request with data
sentry api /api/0/organizations/my-org/projects/ --method POST --data '{"name":"new-project","platform":"python"}'
Sentry dashboards use a 6-column grid. When adding widgets, aim to fill complete rows (widths should sum to 6).
Display types with default sizes:
| Display Type | Width | Height | Category | Notes |
|---|---|---|---|---|
big_number |
2 | 1 | common | Compact KPI — place 3 per row (2+2+2=6) |
line |
3 | 2 | common | Half-width chart — place 2 per row (3+3=6) |
area |
3 | 2 | common | Half-width chart — place 2 per row |
bar |
3 | 2 | common | Half-width chart — place 2 per row |
table |
6 | 2 | common | Full-width — always takes its own row |
stacked_area |
3 | 2 | specialized | Stacked area chart |
top_n |
3 | 2 | specialized | Top N ranked list |
categorical_bar |
3 | 2 | specialized | Categorical bar chart |
text |
3 | 2 | specialized | Static text/markdown widget |
details |
3 | 2 | internal | Detail view |
wheel |
3 | 2 | internal | Pie/wheel chart |
rage_and_dead_clicks |
3 | 2 | internal | Rage/dead click visualization |
server_tree |
3 | 2 | internal | Hierarchical tree display |
agents_traces_table |
3 | 2 | internal | Agents traces table |
Use common types for general dashboards. Use specialized only when specifically requested. Avoid internal types unless the user explicitly asks.
Available datasets: spans (default), tracemetrics, discover, issue, error-events, logs. Run sentry dashboard widget --help for dataset descriptions, query formats, and examples.
Row-filling examples:
# 3 KPIs filling one row (2+2+2 = 6)
sentry dashboard widget add <dashboard> "Error Count" --display big_number --query count
sentry dashboard widget add <dashboard> "P95 Duration" --display big_number --query p95:span.duration
sentry dashboard widget add <dashboard> "Throughput" --display big_number --query epm
# 2 charts filling one row (3+3 = 6)
sentry dashboard widget add <dashboard> "Errors Over Time" --display line --query count
sentry dashboard widget add <dashboard> "Latency Over Time" --display line --query p95:span.duration
# Full-width table (6 = 6)
sentry dashboard widget add <dashboard> "Top Endpoints" --display table \
--query count --query p95:span.duration \
--group-by transaction --sort -count --limit 10
Use --period (alias: -t) to filter by time window:
sentry trace list --period 1h
sentry span list --period 24h
sentry span list -t 7d
Org and project are positional arguments following gh CLI conventions:
sentry trace list my-org/my-project
sentry issue list my-org/my-project
sentry span list my-org/my-project/abc123def456...
Pass the trace ID as a positional argument to span list:
sentry span list abc123def456...
sentry span list my-org/my-project/abc123def456...
When querying the Events API (directly or via sentry api), valid dataset values are: spans, transactions, logs, errors, discover.
The sentry release command group manages Sentry releases for tracking deploys and associating commits with errors. A typical CI workflow:
# Create a release (version must match Sentry.init() release value)
sentry release create my-org/1.0.0 --project my-project
# Associate commits via repository integration (requires git checkout)
sentry release set-commits my-org/1.0.0 --auto
# Mark the release as finalized
sentry release finalize my-org/1.0.0
# Record a deploy
sentry release deploy my-org/1.0.0 production
Key details:
org/version positional is <org-slug>/<version>, NOT a version prefix. sentry release create sentry/1.0.0 means org=sentry, version=1.0.0. This is how org is specified — not via SENTRY_ORG.1.0.0) must match the release value in your Sentry.init() call. If your SDK uses bare semver, the release must be bare semver too.--auto requires both a Sentry repository integration (GitHub/GitLab/Bitbucket) and a local git checkout. It lists repos from the API and matches against your local origin remote URL, then sends the HEAD commit SHA. Without a checkout, use --local instead.--auto nor --local is specified, the CLI tries --auto first and falls back to --local on failure.sentry npm package requires Node.js >= 22. CI runners like ubuntu-latest ship Node.js 20 — add actions/setup-node@v6 with node-version: 22.SENTRY_AUTH_TOKEN is scoped to a GitHub environment (e.g., production), set environment: production on the job.fetch-depth: 0) is needed for --auto to discover the remote URL and HEAD.set-commits --auto has continue-on-error in most workflows because it requires a working repository integration. If the integration isn't configured, the step fails but the rest of the release workflow succeeds.PROJECT-123 (short ID), not the numeric ID 123456789. The short ID includes the project prefix.sentry auth login before every command. The CLI detects missing/expired auth and prompts automatically. Only run sentry auth login if you need to switch accounts.--json for piping: Human-readable output includes formatting. Use --json when parsing output programmatically.<org>/<project> if the CLI says it can't detect the target or detects the wrong one.--query syntax: The --query flag uses Sentry search syntax (e.g., is:unresolved, assigned:me), not free text search.--web: View commands support -w/--web to open the resource in the browser — useful for sharing links.sentry schema to browse the API and sentry api to make requests — the CLI handles authentication and endpoint resolution, so there's rarely a need to download OpenAPI specs separately.org/version positional is <org-slug>/<version>, where org/ is the org, not part of the version. sentry release create sentry/1.0.0 creates version 1.0.0 in org sentry. If your Sentry.init() uses release: "1.0.0", this is correct. Don't double-prefix like sentry/myapp/1.0.0.set-commits --auto without a git checkout: --auto needs a local git repo to discover the origin remote URL and HEAD commit. In CI, ensure actions/checkout with fetch-depth: 0 runs before set-commits --auto.sentry api when CLI commands suffice: sentry issue list --json already includes shortId, title, priority, level, status, permalink, and other fields at the top level. Some fields like count, userCount, firstSeen, and lastSeen may be null depending on the issue. Use --fields to select specific fields and --help to see all available fields. Only fall back to sentry api for data the CLI doesn't expose.The CLI must be installed and authenticated before use.
curl https://cli.sentry.dev/install -fsS | bash
curl https://cli.sentry.dev/install -fsS | bash -s -- --version nightly
# Or install via npm/pnpm/bun
npm install -g sentry
sentry auth login
sentry auth login --token YOUR_SENTRY_API_TOKEN
sentry auth status
sentry auth logout
Authenticate with Sentry
sentry auth login — Authenticate with Sentrysentry auth logout — Log out of Sentrysentry auth refresh — Refresh your authentication tokensentry auth status — View authentication statussentry auth token — Print the stored authentication tokensentry auth whoami — Show the currently authenticated user→ Full flags and examples: references/auth.md
Work with Sentry organizations
sentry org list — List organizationssentry org view <org> — View details of an organizationMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
sentry-cli has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: sentry-cli is focused, and the summary matches what you get after install.
Registry listing for sentry-cli matched our evaluation — installs cleanly and behaves as described in the markdown.
sentry-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
sentry-cli has been reliable in day-to-day use. Documentation quality is above average for community skills.
sentry-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend sentry-cli for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in sentry-cli — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend sentry-cli for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
sentry-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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