Add an idea to the backlog parking lot (999.x numbering)
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。
Read ROADMAP.md to find existing backlog entries:
cat .planning/ROADMAP.md
Find next backlog number:
NEXT=$(gsd-sdk query phase.next-decimal 999 --raw)
If no 999.x phases exist, start at 999.1.
Add to ROADMAP.md under a ## Backlog section. If the section doesn't exist, create it at the end.
Write the ROADMAP entry BEFORE creating the directory — this ensures directory existence is always
a reliable indicator that the phase is already registered, which prevents false duplicate detection
in any hook that checks for existing 999.x directories (#2280):
## Backlog
### Phase {NEXT}: {description} (BACKLOG)
**Goal:** [Captured for future planning]
**Requirements:** TBD
**Plans:** 0 plans
Plans:
- [ ] TBD (promote with /gsd:review-backlog when ready)
Create the phase directory:
SLUG=$(gsd-sdk query generate-slug "$ARGUMENTS" --raw)
mkdir -p ".planning/phases/${NEXT}-${SLUG}"
touch ".planning/phases/${NEXT}-${SLUG}/.gitkeep"
Commit:
gsd-sdk query commit "docs: add backlog item ${NEXT} — ${ARGUMENTS}" .planning/ROADMAP.md ".planning/phases/${NEXT}-${SLUG}/.gitkeep"
Report:
## 📋 Backlog Item Added
Phase {NEXT}: {description}
Directory: .planning/phases/{NEXT}-{slug}/
This item lives in the backlog parking lot.
Use /gsd:discuss-phase {NEXT} to explore it further.
Use /gsd:review-backlog to promote items to active milestone.
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。