Scan a repo for mixed ADRs, PRDs, SPECs, and DOCs and bootstrap or merge the full .planning/ setup from them. Classifies each doc in parallel, synthesizes a consolidated context with a conflicts report, and routes to new-project or merge-milestone depending on whether .planning/ already exists.
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。
--mode new, default when .planning/ is absent): produces PROJECT.md + REQUIREMENTS.md + ROADMAP.md + STATE.md from synthesized doc content, delegating final generation to gsd-roadmapper.--mode merge, default when .planning/ is present): appends phases and requirements derived from the ingested docs; hard-blocks any contradiction with existing locked decisions.Auto-synthesizes most conflicts using the precedence rule ADR > SPEC > PRD > DOC (overridable via manifest). Surfaces unresolved cases in .planning/INGEST-CONFLICTS.md with three buckets: auto-resolved, competing-variants, unresolved-blockers. The BLOCKER gate from the shared conflict engine prevents any destination file from being written when unresolved contradictions exist.
Inputs: directory-convention discovery (docs/adr/, docs/prd/, docs/specs/, docs/rfc/, root-level {ADR,PRD,SPEC,RFC}-*.md), or an explicit --manifest <file> YAML listing {path, type, precedence?} per doc.
v1 constraints: hard cap of 50 docs per invocation; --resolve interactive is reserved for a future release.
</objective>
<execution_context> @${CLAUDE_PLUGIN_ROOT}/workflows/ingest-docs.md @${CLAUDE_PLUGIN_ROOT}/references/ui-brand.md @${CLAUDE_PLUGIN_ROOT}/references/gate-prompts.md @${CLAUDE_PLUGIN_ROOT}/references/doc-conflict-engine.md </execution_context>
<context> $ARGUMENTS </context> <process> Execute the ingest-docs workflow end-to-end. Preserve all approval gates (discovery, conflict report, routing) and the BLOCKER safety rule. </process>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。