Auto-fix issues found by code review in REVIEW.md. Spawns fixer agent, commits each fix atomically, produces REVIEW-FIX.md summary.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Arguments:
--all (optional) — include Info findings in fix scope (default: Critical + Warning only)--auto (optional) — enable fix + re-review iteration loop, capped at 3 iterationsOutput: {padded_phase}-REVIEW-FIX.md in phase directory + inline summary of fixes applied </objective>
<execution_context> @${CLAUDE_PLUGIN_ROOT}/workflows/code-review-fix.md </execution_context>
<context> Phase: $ARGUMENTS (first positional argument is phase number)Optional flags parsed from $ARGUMENTS:
--all — Include Info findings in fix scope. Default behavior fixes Critical + Warning only.--auto — Enable fix + re-review iteration loop. After applying fixes, re-run code-review at same depth. If new issues found, iterate. Cap at 3 iterations total. Without this flag, single fix pass only.Context files (CLAUDE.md, REVIEW.md, phase state) are resolved inside the workflow via gsd-sdk query init.phase-op and delegated to agent via config blocks.
</context>
Execute the code-review-fix workflow from @${CLAUDE_PLUGIN_ROOT}/workflows/code-review-fix.md end-to-end.
The workflow (not this command) enforces these gates:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。