Sentry Code Review
Sentry partner skill that analyzes/fixes bugs in GitHub PRs using Sentry error-monitoring data via Sentryâs MCPâcanonical Skills+MCP enhancement example in Anthropicâs guide.
Overview
Sentry Code Review is a Claude agent catalogued in LimeDock Directories for teams working across engineering, operations, other. It is tagged for saas, other contexts. Sentry partner skill that analyzes/fixes bugs in GitHub PRs using Sentry error-monitoring data via Sentryâs MCPâcanonical Skills+MCP enhancement example in Anthropicâs guide. Use this page as the operational brief: install path, how to invoke it, copy-paste prompts, prerequisites, and concrete use cases so your team can adopt it without re-reading every roundup article.
Work with LimeDock
Using this skill? LimeDock can wire it into a durable automation you own.
Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.
We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.
Link
Installation guide
Connect Sentry MCP, then install the Sentry partner skill from Anthropicâs Partner Skills Directory / Sentry docs; enable alongside the connector.
Generic install paths
CLI
npx skills add https://resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-Skill-for-Claude.pdf**Claude Code plugins** (when published as a marketplace skill)
/plugin marketplace add <org/repo>
/plugin install <skill>@<marketplace>**Manual** — copy the skill folder into `~/.claude/skills/sentry-code-review/` or your project `.claude/skills/`.
Always review `SKILL.md` and bundled scripts before enabling.
How to use it
On a PR with related Sentry issues, ask Claude to run Sentry-informed code review and propose fixes.
**Suggested workflow** 1. Install and enable the agent. 2. Open the target project (or Claude.ai chat) with enough product context. 3. Invoke with a clear goal, constraints, and success criteria. 4. Review the first output against your standards; refine with follow-ups. 5. Save winning prompts / outputs into your team playbook.
If Claude does not auto-select it, mention the agent by name: “Use the Sentry Code Review agent…”
Example prompts
- “Use the Sentry Code Review agent for this task: PR review grounded in production errors”
- “Walk me through how Sentry Code Review would approach this step by step, then execute.”
- “Review my current draft/plan and improve it using Sentry Code Review. Call out assumptions.”
- “Produce a checklist I can reuse whenever we run Sentry Code Review on similar work.”
Use cases and examples
- PR review grounded in production errors
- Map stack traces to failing code
- Prioritize fixes by real user impact
- First-week trial of Sentry Code Review on a real engineering workflow
- Document a reusable prompt template for Sentry Code Review for your team
- Combine Sentry Code Review with project CLAUDE.md / brand context for on-brand outputs
Prerequisites
- Claude Code, Claude.ai (Skills enabled), or an Agent Skills–compatible host
- Network access if the skill fetches guidelines or calls external tools
- Project or brand context (CLAUDE.md / product notes) for better outputs
- Permission to install third-party skills — audit SKILL.md and scripts first
- Clear success criteria — agents run multi-step workflows and need a defined “done”
Tips
- Keep descriptions/triggers tight so Sentry Code Review fires only when relevant (avoids context tax).
- Prefer one sharp job over a mega-skill that tries to do everything.
- Pair with verification (tests, review, screenshots) before shipping outputs.
- Re-audit installed skills monthly — unused skills still cost context every turn.
- Give agents scoped tools and sandbox risky actions (filesystem, deploys, payments).