ehuerta6

Create, clean, review, and connect personal learning notes in local Markdown workspaces.

Design or evolve reusable AI configuration such as skills, agents, rules, templates, and project instructions without creating unnecessary duplication.

Implement one approved GitHub Issue from scope discovery through a verified, review-ready change.

Review a pull request or completed diff separately against its requirements and against the repository's engineering standards.

Execute Git and GitHub operations using the repository's documented conventions for commits, issues, pull requests, and merging.

Verify a code change using the repository's actual configured checks and report concrete evidence without hiding failures.

Diagnose bugs and regressions by reproducing the exact failure, gathering evidence, testing hypotheses, and verifying the fix.

Decide whether a software project idea solves a worthwhile real problem or should be validated, simplified, or skipped before product discovery.

Implement one approved Cappy Hub GitHub Issue from scope discovery through a verified, review-ready change.

Diagnose bugs and regressions by reproducing the exact failure, gathering evidence, testing hypotheses, and verifying the fix.

Put local Supabase into the correct state before Cappy Hub database, application, and seed tests.

Verify a Cappy Hub change using configured checks and report concrete evidence without hiding failures.

Use when retrieving, recording, reconciling, or reviewing durable project decisions, constraints, rationale, and context in a repository's knowledge/ files.

Execute Git and GitHub operations using the repository's documented conventions for commits, issues, pull requests, and merging.

Review a pull request or completed diff separately against its requirements and against Cappy Hub's engineering standards.

Write and maintain skills, AGENTS.md files, agent instructions, and other documents consumed by AI agents with minimal context load and clear behavior.

Design or evolve reusable AI configuration such as skills, agents, rules, templates, and project instructions without creating unnecessary duplication.

Stress-test a feature, plan, architecture decision, or product idea until the important decisions are explicit and shared.

Design, critique, audit, and refine production frontend UI and UX with strong hierarchy, accessibility, responsive behavior, clear states, and deliberate visual decisions.

Audit a project's AI configuration against current project needs and ai-setup to detect duplication, drift, stale instructions, and missing reusable configuration.

Review completed AI-assisted engineering work to identify concrete improvements to skills, rules, context, tooling, and automated checks.

Audit and clean technical writing so it becomes concrete, concise, credible, and free of formulaic AI prose without changing supported facts.

Break an approved spec or large feature into focused, connected GitHub Issues that can be implemented independently by fresh agents.

Diagnose bugs and regressions by reproducing the exact failure, gathering evidence, testing hypotheses, and verifying the fix.

Design, critique, audit, and refine production frontend UI and UX with strong hierarchy, accessibility, responsive behavior, clear states, and deliberate visual decisions.

Verify a code change using the repository's actual configured checks and report concrete evidence without hiding failures.

Review completed AI-assisted engineering work to identify concrete improvements to skills, rules, context, tooling, and automated checks.

Audit a project's AI configuration against current project needs and ai-setup to detect duplication, drift, stale instructions, and missing reusable configuration.

Audit and clean technical writing so it becomes concrete, concise, credible, and free of formulaic AI prose without changing supported facts.

Turn already-resolved product and engineering decisions into a durable implementation specification without reopening settled decisions.

Break an approved spec or large feature into focused, connected GitHub Issues that can be implemented independently by fresh agents.

Review a pull request or completed diff separately against its requirements and against the repository's engineering standards.

Design or evolve reusable AI configuration such as skills, agents, rules, templates, and project instructions without creating unnecessary duplication.

Audit a project's AI configuration against its current needs and the SetupSmith catalog to find duplication, drift, stale instructions, and missing reusable configuration.

Execute Git and GitHub operations using the repository's documented conventions for commits, issues, pull requests, and merging.

Implement one approved GitHub Issue from scope discovery through a verified, review-ready change.

Plan open GitHub Issues into dependency-aware execution batches, generate prompts for selected batches, and update plans as repository state changes.

Write and maintain skills, AGENTS.md files, agent instructions, and other documents consumed by AI agents with minimal context load and clear behavior.

Execute Git and GitHub operations using the repository's documented conventions for commits, issues, pull requests, and merging.

Review a pull request or completed diff separately against its requirements and against the repository's engineering standards.

Turn already-resolved product and engineering decisions into a durable implementation specification without reopening settled decisions.

Write and maintain skills, AGENTS.md files, agent instructions, and other documents consumed by AI agents with minimal context load and clear behavior.