lemon-ai-hub

Recursive error-fix loop. Use when a bash command fails with a build/test/typecheck error, when the same class of error appears more than once, or when the harness itself needs a persistent rule so the error does not come back. Detect → root-cause → minimal fix → test → lint/typecheck → persist rule (SKILL.md / AGENTS.md / docs/rules) → audit with evidence. Cross-harness (Claude Code, OpenCode, Codex, Gemini, Agy).

Wraps any external CLI so the AI harness can invoke it without context bloat. Captures --help output, documents every subcommand/flag in a compact digest, saves token metrics (raw vs wrapped), and exposes a standardized interface (invoke, explain, audit). Use before calling an unfamiliar CLI or when the harness needs to interact with a CLI repeatedly.

One-shot setup that configures the CLI wrapper ecosystem across ALL AI harnesses (Claude Code, Gemini, Codex, Agy, OpenCode). Creates symlinks from Claude (single source of truth) to every other CLI, registers wrapper skills/agents in each harness, and injects the "prefer wrapped CLI" policy into each CLI's config file. Run once per machine or after adding a new CLI to the ecosystem.

Cross-harness skill that teaches Claude Code, Codex (OpenAI), and Antigravity (Agy) how to use OpenCode as a subagent. Covers delegation triggers, task formatting, provider routing, result handling, and the complete protocol for efficient subagent orchestration.

Automatically routes tasks to the optimal AI agent, model, or provider based on complexity, cost, and capability. Use when implementing features, fixing bugs, or any multi-step development work. Triggers on "implement", "build", "create", "fix", "add feature", "develop", or when the user asks to do any coding task.

Surface opportunities to deepen a codebase. Finds modules that are shallow (thin pass-throughs, anemic types, missing domain modeling) and proposes how to make them deep (rich domain types, co-located behavior, testable seams). Outputs a visual HTML report and then runs an interactive grilling loop that pressure-tests each opportunity. Use when the codebase feels "flat", domain logic leaks into controllers/UI, types carry no behavior, or AI agents struggle to navigate the module boundaries. Integrates with domain-modeling, codebase-design, and ADR workflows.

Loop de diagnóstico para bugs difíceis e regressões de performance. Feedback loop → reprodução → hipóteses → instrumentação → fix + teste → cleanup. Use quando o usuário disser "diagnosticar"/"debugar isso", ou relatar algo quebrado/lançando exceção/falhando/lento.

Interrogatório implacável para planos e designs que cria documentação (CONTEXT.md/glossário, ADRs) durante o processo, enquanto grilla. Combina grilling de decisão com domain-modeling — desafia a linguagem vaga contra o glossário existente, stress-testa cenários concretos, e captura termos e decisões inline conforme cristalizam. Use when user wants to stress-test a plan against their project's language and documented decisions, mentions "grill me", "grilling", or needs to sharpen terminology while deciding.

Compacta a conversa atual em um documento de handoff para outro agent continuar o trabalho. Preserva o contexto sem duplicar artefatos.

Reference for creating and editing skills well — the vocabulary and principles that make a skill predictable. Covers invocation, information hierarchy, granularity, steering, pruning, and failure modes.

Interrogatório implacável para planos e designs. Estressa planos antes de implementar. Baseado em grill-me/grilling de Matt Pocock.

Ensina habilidades ou conceitos ao usuário em workspace stateful. Missões, lições HTML, referências, registros de aprendizado.

Executes autonomous Loop Engineering cycles (Autoresearch) for continuous code and metric optimization.

Expert GitHub CLI plugin containing multiple skills for PR management, issue tracking, and GitHub workflows automation.

Manage GitHub CLI authentication via gh CLI.

Open GitHub resources in the browser via gh CLI.

Manage GitHub Codespaces via gh CLI.

Manage GitHub CLI configuration via gh CLI.

Manage GitHub Copilot tasks via gh CLI.

Manage GitHub Discussions via gh CLI.

Manage GitHub Gists via gh CLI.

Manage GitHub issues via gh CLI.

Manage GitHub issue/PR labels via gh CLI.

Manage GitHub organizations via gh CLI.

Gerencia Pull Requests via GitHub CLI (gh).

Manage GitHub Projects (beta) via gh CLI.

Manage GitHub releases via gh CLI.

Manage GitHub repositories via gh CLI.

Manage GitHub repository rulesets via gh CLI.

Search GitHub for code, issues, PRs, repos, and more via gh CLI.

Manage GitHub Secrets for repos, orgs, and environments via gh CLI.

Manage GitHub Actions workflows and runs via gh CLI.

Expert git plugin containing multiple skills for advanced version control, semantic commits, and bisect automation.

AI-guided git bisect for finding the exact commit that introduced a bug or regression. Automates the binary search, interprets test results, and identifies the responsible code change with full context. Use when you know a bug exists now but didn't exist before, or when a performance regression appeared somewhere in git history.

Find who changed what lines and when.

Manage git branches with listing, creation, deletion, and rename operations.

Cherry-pick commits from one branch to another.

Remove untracked files and directories from working tree.

Clone remote repositories with various options.

Faz commits semanticos organizando os commits por alteracao.