Explorar skills

Use when receiving UAT feedback, bug reports, user testing results, stakeholder feedback, QA findings, or any batch of issues to investigate. Investigates each item BEFORE creating issues, classifies by type and priority, creates well-formed GitHub issues with proper project board integration.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

Use when writing code in typed languages - enforces full typing with no any/unknown/untyped escapes, even if it requires extra time

Use for LARGE work requiring feature-level grouping. Creates epic tracking issues, manages related issues under a common label, tracks epic progress, and coordinates with milestones.

Use after code review - implement ALL findings; any finding not fixed MUST have tracking issue created; no finding disappears without trace

Deep-validate a single GitHub issue against the codebase: cross-reference file paths, detect already-implemented features, check for related PRs, verify dependencies, and deliver a structured verdict with recommended action. Triggers: review issue, validate issue, check issue status, is this issue still needed, issue review.

Use to spawn isolated worker processes for autonomous issue work. Uses Task tool with run_in_background for parallel execution and TaskOutput for monitoring. Pre-extracts context to minimize worker token usage.

Setup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically detects installed AI SDKs and configures the appropriate Sentry integration.

Project manager for GitHub issues: brainstorm design approaches, create structured issues optimized for LLM agent teams, triage and recommend what to work on next, audit and clean up stale issues, or deep-validate a single issue against the codebase. Triggers: create issue, plan work, new task, project manager, write ticket, draft issue, plan feature, plan project, start project, create ticket, re

Performance analysis: bundle size checks, profiling, benchmarks, and algorithmic complexity review. Identifies performance-sensitive areas and creates a structured GitHub issue.

Use at the beginning of every work session - establishes context by checking GitHub project state, reading memory, verifying environment, and orienting before starting work

Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, TypeScript, Python, React, Next.js, and Node.js.