Run Codex docs-review and apply blocking documentation fixes iteratively.
npx skills add https://github.com/zeikar/hyperclaude --skill hyper-docs-loop
Please help me install this Agent Skill. Skill: hyper-docs-loop Source: https://github.com/zeikar/hyperclaude/tree/main/skills/hyper-docs-loop Command: npx skills add https://github.com/zeikar/hyperclaude --skill hyper-docs-loop
hyper-docs-loop ensures your documentation stays accurate with the current code by running a repeated Codex docs-review and applying targeted fixes until no blocking documentation findings remain.
docs-review to identify blocking documentation drift, misleading claims, and accuracy issues, then fixes them and re-checks.documenter agent once per run and reuses its retained context for each fix round to apply minimal, targeted documentation edits.Run /hyperclaude:hyper-docs-loop docs to harden top-level markdown docs accuracy against the current codebase.
High-intent search queries and answers about installing and using this skill.
Use an autonomous docs accuracy loop that runs Codex docs-review to identify blocking documentation drift, then iteratively applies targeted fixes until no blocking findings remain, ensuring markdown claims match the current codebase.
Yes, the docs accuracy loop applies to a specified doc directory or a single markdown file path, scanning for misleading claims and cross-doc consistency issues to correct documentation drift against current code.
Yes, experimental agent-teams must be enabled. The workflow spawns a persistent documenter teammate that retains context across iterations to apply minimal targeted documentation edits during the review loop.
The loop enforces request-id and structured-schema reply validation across review iterations, repeatedly running Codex docs-review and applying only blocking fixes via the documenter agent until convergence or a cap is reached.
An autonomous Codex-driven loop runs repeated docs-review to identify blocking cross-doc consistency issues, then applies targeted fixes and re-checks until no blocking findings remain, ensuring knowledge base accuracy.
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