codex-workflow-recommender

Audit a repository and current Codex capabilities, then recommend the smallest evidence-backed read-only improvement or no change. Use for Codex setup optimization, surface selection, unapplied MCP/plugin/subagent plans, 优化 Codex 工作流, 审阅 Codex 配置, Codex 能力推荐. Exclude direct AGENTS/code-map edits, docs questions, skill audits, dynamic workflow implementation, code review, and any install/config/write.

Ir para a instalação

Repositório: bahayonghang/my-ai-cli-toolkit
Última atividade na origem: 23 de julho de 2026 às 15:38
Idioma detectado do SKILL.md: inglês
Estrelas: 16
Forks: 1

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/bahayonghang/my-ai-cli-toolkit --skill codex-workflow-recommender

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Explorador de arquivos

22 arquivos

SKILL.md

Instruções da origem · Visualização somente leitura

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Codex Workflow Recommender

Read-only: do not create, edit, install, remove, configure, or write externally; reports never authorize implementation.

Workflow

Confirm outcome, repo root, surface, and scope; read applicable AGENTS.md/code_map.md.

Inventory relevant gates, roots, trusted config, plugins, and MCP. Prefer structured tools or rg and current help.

Summarize minimum fields, never raw doctor/config/auth/provider/env values. Preserve provenance: built-in, user-config, project-config, plugin-provided, installed-enabled, installed-disabled, available-uninstalled, unsupported, missing evidence.

Decide whether persistence is justified. No change recommended is valid. Smallest owner: one-off -> prompt; repo rule -> AGENTS; learned context -> memory; repeated flow -> skill; team bundle -> plugin; live external need -> MCP; independent role -> subagent; runtime default -> config/rule; lifecycle event -> hook; schedule -> automation.

Reuse suitable native/installed capability first. Technology detection alone is only a signal. Rank by impact, evidence, dependency, effort, reversibility, and Permission/data risk.

Stop at supported decisions; keep OMX conditional and omit irrelevant surfaces.

Output Contract

Return Outcome; Evidence and Unknowns; supported Prioritized Recommendations; dependency/risk Implementation Sequence; Verification and Rollback; and Approval Options split by local versus persistent/external action. Each item: Observed evidence; Existing capability/provenance; scope; prerequisites; Permission/data risk; confidence or missing evidence; Verification; Rollback/defer reason. Omit empty categories.

References

Load only relevant references. CLI help overrides examples and dated facts override memory; otherwise use missing evidence. Route direct AGENTS/code-map edits to agents-md-improver, fact questions to openai-docs, skill reviews to agent-skill-review/yao-meta-skill, and dynamic workflow builds to codex-dynamic-workflows.