Triggers the WORK-PIPELINE when a user request starts with a [] tag (e.g., [new-feature], [bugfix], [WORK start]). Use this skill whenever you detect a [] tag at the beginning of a user message.
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。
When the user's message starts with a [] tag, start the WORK-PIPELINE by reading ../skills/sdd-pipeline/references/agent-flow.md and following the orchestration flow.
Any message starting with [...] triggers this pipeline:
[new-feature], [enhancement], [bugfix], [new-work], [WORK start]When this skill is triggered, Claude Code provides the "Base directory for this skill" as an absolute path. Derive the REFERENCES_DIR from it:
REFERENCES_DIR = {Base directory}/../sdd-pipeline/references
You MUST pass this absolute path to every sub-agent invocation (specifier, planner, scheduler, builder, verifier, committer). Include it at the top of the prompt text:
REFERENCES_DIR={absolute_path}
Sub-agents need this path to read their reference files. Without it, they cannot find the files and will loop.
works/WORK-NN/Requirement.md, determines execution-mode (direct/pipeline/full)direct: call builder → committerpipeline: call builder → verifier → committer in sequencefull: call planner → ⛔ STOP for 2nd approval → scheduler → [builder → verifier → committer] × NIf the user's message ends with "auto" or "자동으로", skip ALL approval steps and execute the entire pipeline automatically. This is the ONLY case where approval gates can be skipped.
User requirement: $ARGUMENTS
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。