Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Business-level "what should I do next". Priority stack — fires > unread comms > ready-to-merge PRs > Linear sprint > revenue-generating GSD work. Uses pre-gathered data and routes to the right skill.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Before advising, load:
cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read owner, primary_project, default_channelscat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — flag any action_needed as priority${CLAUDE_PLUGIN_DATA_DIR}/memories/topics_active.md for ongoing work context| Command | Usage | Output |
|---|---|---|
gh pr list --state open --json number,title,statusCheckRollup,reviewDecision | Open PRs with CI/review status | JSON array |
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering priority data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("next-team")
Agent(team_name="next-team", name="fires-checker", prompt="Check infra health and CI for production fires")
Agent(team_name="next-team", name="comms-checker", prompt="Check unread messages across all channels")
Agent(team_name="next-team", name="prs-checker", prompt="Find PRs ready to merge — CI green, reviews approved")
Agent(team_name="next-team", name="sprint-checker", prompt="Check Linear sprint for highest-priority in-progress issues")
If the flag is NOT set, use standard fire-and-forget subagents.
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[]}'
${CLAUDE_PLUGIN_ROOT}/bin/ops-prs 2>/dev/null || echo '[]'
${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'
${CLAUDE_PLUGIN_ROOT}/bin/ops-unread 2>/dev/null || echo '{}'
for d in $(jq -r '.projects[] | select(.gsd == true) | .paths[]' "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null); do
expanded="${d/#\~/$HOME}"
if [ -f "$expanded/.planning/STATE.md" ]; then
alias=$(basename "$expanded")
cat "$expanded/.planning/STATE.md" 2>/dev/null | head -30
echo "---NEXT---"
fi
done
Apply the priority stack to all pre-gathered data:
Check infra data for: unhealthy ECS tasks, stopped services, failed deployments.
Check CI for: broken main or dev branches.
If any fires exist → recommend /ops-fires immediately.
Check unread counts. If WhatsApp or email has unread messages from humans (not automated):
/ops-inbox [channel]Check PRs for: CI green + no unresolved review comments + not draft.
If any ready → recommend reviewing that PR now.
Check: gh pr list --state open --json number,title,statusCheckRollup,reviewDecision 2>/dev/null
Fetch current sprint issues: use mcp__linear__list_issues filtered to current cycle (use Linear GraphQL fallback for cycle queries if needed).
Find highest-priority issue that is in progress or unstarted.
From GSD state, find the highest revenue-impact active phase across all projects.
Revenue weighting: read revenue.stage and priority from scripts/registry.json — projects with lower priority numbers (higher priority) and revenue stage of growth or active outrank pre-launch or development. Within the same tier, prioritize closest-to-done phases.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► NEXT ACTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOP PRIORITY: [fires|comms|PR|sprint|gsd]
▶ [specific action in one sentence]
WHY: [1-2 sentence rationale]
──────────────────────────────────────────────────────
Full priority stack:
1. [action] — [why] → [/skill or command]
2. [action] — [why] → [/skill or command]
3. [action] — [why] → [/skill or command]
4. [action] — [why] → [/skill or command]
5. [action] — [why] → [/skill or command]
──────────────────────────────────────────────────────
a) Do #1 now
b) Do #2 now
c) Show me everything (/ops-go)
d) I'll decide — just show the briefing
→ Pick or describe what you want
──────────────────────────────────────────────────────
Use AskUserQuestion. When user selects an option, invoke the corresponding skill directly — don't describe it, do it.
If $ARGUMENTS contains context (e.g., "focus on <project-alias>"), constrain the analysis to that context.
After the user selects an action, use TaskCreate to track it. When routing to the corresponding skill, the task persists as a reminder of what the user chose to focus on.
When pre-gathered data is stale or incomplete, use WebFetch to pull fresh data from APIs (Linear GraphQL, Sentry, GitHub) directly.
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
中文简介正在准备中。当前显示原文说明。
Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
中文简介正在准备中。当前显示原文说明。