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Category
AI Agents
Rank
No. 1657Tools index

Previous survey · No. 1633 ·

Pricing
Open Source
Type
TOOL
Builder
getsentry
GitHub
21 stars
Latest release
latest
Date

About

Collection of agent skills published by Sentry for AI coding assistants to integrate with Sentry workflows.

What it does

It gives coding agents structured playbooks for configuring observability and resolving production errors. The playbooks inspect project dependencies, recommend relevant features, guide implementation, and require verification before completion.

Why it's ranked here

The material is unusually concrete, with platform detection, framework-specific guidance, troubleshooting, and security rules for untrusted event data. However, this repository is archived and explicitly directs new users to its successor.

What's good

Coverage spans Go, Python, Ruby, React, Next.js, .NET, Apple platforms, React Native, and Svelte. Workflows separate discovery, recommendations, implementation, and verification. The issue-fixing guidance also requires source-code corroboration and redaction of secrets and personal data.

Tradeoffs

This is instructional content for compatible coding assistants, not a standalone monitoring product. Some workflows require Sentry MCP, GitHub CLI, authentication tokens, or external documentation checks. The repository receives no further updates, so its embedded SDK guidance can age.

How to use it well

Use the successor repository when adding Sentry through a supported coding assistant. These playbooks best suit teams wanting guided setup, framework-aware configuration, or evidence-led production debugging. They do not replace Sentry itself, project access, credentials, or broader observability tooling.

Technical notes+

README.md marks this repository archived and names getsentry/sentry-for-ai as the replacement. AGENTS.md defines each skill as skills/<skill-name>/SKILL.md with YAML frontmatter and Markdown instructions, targeting the Agent Skills specification. scripts/generate-skill-list.sh extracts name and description fields for release notes. .github/workflows/release.yml packages the skills directory into sentry-agent-skills.tar.gz and publishes a latest-tag release. skills/sentry-fix-issues/SKILL.md depends on Sentry MCP tools, treats event data as untrusted, and requires codebase cross-checking before changes. The provided SDK skills declare license: Apache-2.0 and use phased detection, recommendation, configuration, verification, and troubleshooting guidance.

Observed

License
Apache-2.0 is declared in the provided skill frontmatter.
Primary format
Markdown instructions with YAML frontmatter.
Install surface
Skills CLI, manual directory copying, release tarball, or Sentry wizard.
Interface
Agent Skills specification; the issue-fixing workflow additionally requires Sentry MCP.
Supported clients
Claude Code, OpenAI Codex, GitHub Copilot, Cursor, OpenCode, and AmpCode.
Repository status
Archived and superseded by getsentry/sentry-for-ai.

Read from README.md, AGENTS.md, scripts/generate-skill-list.sh, .github/workflows/release.yml, skills/sentry-go-sdk/SKILL.md, skills/sentry-ruby-sdk/SKILL.md, skills/sentry-cocoa-sdk/SKILL.md, skills/sentry-react-sdk/SKILL.md, skills/sentry-dotnet-sdk/SKILL.md, skills/sentry-fix-issues/SKILL.md, skills/sentry-nextjs-sdk/SKILL.md.

What it can do

  • Create Sentry issues from detected errors

    Error data and stack tracesSentry issue with metadata

  • Query Sentry project performance metrics

    Project ID and time rangePerformance data and statistics

  • Retrieve Sentry error event details

    Event ID or issue IDDetailed error information and context

  • Update Sentry issue status and assignments

    Issue ID and status/assignment dataUpdated issue confirmation

  • Search Sentry issues by filters

    Search criteria and project parametersFiltered list of matching issues

  • Configure Sentry project settings

    Project configuration parametersUpdated project settings

Tags

sentryagent-skillsclaudeai-tools

Tech Stack

Shell

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.