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。
Execute all plans in a phase with wave-based parallelization
インストール方法を見る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。
Orchestrator stays lean: discover plans, analyze dependencies, group into waves, spawn subagents, collect results. Each subagent loads the full execute-plan context and handles its own plan.
Optional wave filter:
--wave N executes only Wave N for pacing, quota management, or staged rolloutFlag handling rule:
$ARGUMENTS$ARGUMENTS, treat it as inactiveContext budget: ~15% orchestrator, 100% fresh per subagent. </objective>
<execution_context> @${CLAUDE_PLUGIN_ROOT}/workflows/execute-phase.md @${CLAUDE_PLUGIN_ROOT}/references/ui-brand.md </execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API.
</runtime_note>
Available optional flags (documentation only — not automatically active):
--wave N — Execute only Wave N in the phase. Use when you want to pace execution or stay inside usage limits.--gaps-only — Execute only gap closure plans (plans with gap_closure: true in frontmatter). Use after verify-work creates fix plans.--interactive — Execute plans sequentially inline (no subagents) with user checkpoints between tasks. Lower token usage, pair-programming style. Best for small phases, bug fixes, and verification gaps.Active flags must be derived from $ARGUMENTS:
--wave N is active only if the literal --wave token is present in $ARGUMENTS--gaps-only is active only if the literal --gaps-only token is present in $ARGUMENTS--interactive is active only if the literal --interactive token is present in $ARGUMENTSContext files are resolved inside the workflow via gsd-sdk query init.execute-phase and per-subagent <files_to_read> blocks.
</context>
<output_format>
When this workflow completes, emit a Next Up continuation block following the pattern in references/continuation-format.md:
## ✓ Phase N Complete with plan/task tally)## ▶ Next Up heading with the next likely command`/clear` then: before the command/clear is safe — /gsd:resume-work restores position from HANDOFF.json if you change your mind)Phase boundaries are the highest-value places to clear context — the accumulated execution conversation rarely informs the next phase, and /clear resets the prompt cache cleanly. Always suggest it on completion.
</output_format>
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。