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。
Query, inspect, or refresh codebase intelligence files in .planning/intel/
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。
STOP -- DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's command system. Using the Read tool on this file wastes tokens. Begin executing Step 0 immediately.
Before ANY tool calls, display this banner:
GSD > INTEL
Then proceed to Step 1.
Check if intel is enabled by reading .planning/config.json directly using the Read tool.
DO NOT use the gsd-tools config get-value command -- it hard-exits on missing keys.
.planning/config.json using the Read toolconfig.intel && config.intel.enabled === trueintel.enabled is NOT explicitly true: display the disabled message below and STOPintel.enabled is true: proceed to Step 2Disabled message:
GSD > INTEL
Intel system is disabled. To activate:
gsd-sdk query config-set intel.enabled true
Then run /gsd:intel refresh to build the initial index.
Parse $ARGUMENTS to determine the operation mode:
| Argument | Action |
|---|---|
query <term> | Run inline query (Step 2a) |
status | Run inline status check (Step 2b) |
diff | Run inline diff check (Step 2c) |
refresh | Spawn intel-updater agent (Step 3) |
| No argument or unknown | Show usage message |
Usage message (shown when no argument or unrecognized argument):
GSD > INTEL
Usage: /gsd:intel <mode>
Modes:
query <term> Search intel files for a term
status Show intel file freshness and staleness
diff Show changes since last snapshot
refresh Rebuild all intel files from codebase analysis
Run:
gsd-sdk query intel.query <term>
Parse the JSON output and display results:
"disabled": true, display the disabled message from Step 1 and STOPNo intel matches for '<term>'. Try /gsd:intel refresh to build the index.STOP after displaying results. Do not spawn an agent.
Run:
gsd-sdk query intel.status
Parse the JSON output and display each intel file with:
updated_at timestampSTOP after displaying status. Do not spawn an agent.
Run:
gsd-sdk query intel.diff
Parse the JSON output and display:
If no snapshot exists, suggest running refresh first.
STOP after displaying diff. Do not spawn an agent.
Display before spawning:
GSD > Spawning intel-updater agent to analyze codebase...
Spawn a Task:
Task(
description="Refresh codebase intelligence files",
prompt="You are the gsd-intel-updater agent. Your job is to analyze this codebase and write/update intelligence files in .planning/intel/.
Project root: ${CWD}
Prefer: gsd-sdk query <subcommand> (installed gsd-sdk on PATH). Legacy: node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs
Instructions:
1. Analyze the codebase structure, dependencies, APIs, and architecture
2. Write JSON intel files to .planning/intel/ (stack.json, api-map.json, dependency-graph.json, file-roles.json, arch-decisions.json)
3. Each file must have a _meta object with updated_at timestamp
4. Use `gsd-sdk query intel.extract-exports <file>` to analyze source files
5. Use `gsd-sdk query intel.patch-meta <file>` to update timestamps after writing
6. Use `gsd-sdk query intel.validate` to check your output
When complete, output: ## INTEL UPDATE COMPLETE
If something fails, output: ## INTEL UPDATE FAILED with details."
)
Wait for the agent to complete.
After the agent completes, run:
gsd-sdk query intel.status
Display a summary showing:
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。