Review and fix issues identified by Seer (by Sentry) in GitHub PR comments.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsentry-pr-code-reviewExecute the skills CLI command in your project's root directory to begin installation:
Fetches sentry-pr-code-review from getsentry/sentry-agent-skills 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-pr-code-review. Access via /sentry-pr-code-review 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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Review and fix issues identified by Seer (by Sentry) in GitHub PR comments.
gh CLI installed and authenticatedImportant: The comment format parsed below is based on Seer's current output. This is not an API contract and may change. Always verify the actual comment structure.
gh api repos/{owner}/{repo}/pulls/{PR_NUMBER}/comments --paginate \
--jq '.[] | select(.user.login == "seer-by-sentry[bot]") | {file: .path, line: .line, body: .body}'
The bot login is seer-by-sentry[bot] — not sentry[bot] or sentry-io[bot].
If no PR number is given, find recent PRs with Seer comments:
gh pr list --state open --json number,title --limit 20 | \
jq -r '.[].number' | while read pr; do
count=$(gh api "repos/{owner}/{repo}/pulls/$pr/comments" --paginate \
--jq '[.[] | select(.user.login == "seer-by-sentry[bot]")] | length')
[ "$count" -gt 0 ] && echo "PR #$pr: $count Seer comments"
done
Extract from the markdown body:
**Bug:**<sub>Severity: X | Confidence: X.XX</sub><summary>🔍 <b>Detailed Analysis</b></summary> block<summary>💡 <b>Suggested Fix</b></summary> block<summary>🤖 <b>Prompt for AI Agent</b></summary> blockFor each issue:
## Seer Review: PR #[number]
### Resolved
| File:Line | Issue | Severity | Fix Applied |
|-----------|-------|----------|-------------|
| path:123 | desc | HIGH | what done |
### Skipped (false positive or already fixed)
| File:Line | Issue | Reason |
|-----------|-------|--------|
**Summary:** X resolved, Y skipped
| Trigger | When |
|---|---|
| PR set to "Ready for Review" | Automatic error prediction |
| Commit pushed while PR is ready | Re-runs prediction |
@sentry review comment |
Manual trigger for full review + suggestions |
| Draft PR | Skipped — no review until marked ready |
| Issue | Solution |
|---|---|
| No Seer comments found | Verify the Seer GitHub App is installed on the repo |
| Bot name mismatch | The login is seer-by-sentry[bot], not sentry[bot] |
| Comments not appearing on new PRs | PR must be "Ready for Review" (not draft) |
gh api returns partial results |
Ensure --paginate flag is included |
| Category | Examples |
|---|---|
| Type Safety | Missing null checks, unsafe type assertions |
| Error Handling | Swallowed errors, missing boundaries |
| Validation | Permissive inputs, missing sanitization |
| Config | Missing env vars, incorrect paths |
Make 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.
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
sentry-pr-code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
sentry-pr-code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added sentry-pr-code-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in sentry-pr-code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for sentry-pr-code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: sentry-pr-code-review is focused, and the summary matches what you get after install.
Useful defaults in sentry-pr-code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
sentry-pr-code-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for sentry-pr-code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: sentry-pr-code-review is focused, and the summary matches what you get after install.
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