ops-next

SkillProductivity

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.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ops-next skill

What this skill tells your AI

The instructions your AI receives, as published by davepoon/buildwithclaude in plugins/claude-ops/skills/ops-next/SKILL.md and read by ahel’s review.

Runtime Context

Before advising, load:

  1. Preferences: cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read owner, primary_project, default_channels
  2. Daemon health: cat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — flag any action_needed as priority
  3. Ops memories: Check ${CLAUDE_PLUGIN_DATA_DIR}/memories/topics_active.md for ongoing work context

OPS ► NEXT ACTION

CLI/API Reference

gh CLI (GitHub)

CommandUsageOutput
gh pr list --state open --json number,title,statusCheckRollup,reviewDecisionOpen PRs with CI/review statusJSON array

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering priority data in parallel. This enables:

  • Agents share context and can coordinate mid-flight
  • You can steer priorities in real-time
  • Agents report progress as they complete

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.

Pre-gathered data

Infrastructure & fires

${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[]}'

Git & PRs

${CLAUDE_PLUGIN_ROOT}/bin/ops-prs 2>/dev/null || echo '[]'

CI status

${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'

Unread messages

${CLAUDE_PLUGIN_ROOT}/bin/ops-unread 2>/dev/null || echo '{}'

GSD active phases

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

Your task

Apply the priority stack to all pre-gathered data:

Priority 1 — FIRES

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.

Priority 2 — URGENT COMMS

Check unread counts. If WhatsApp or email has unread messages from humans (not automated):

  • Estimate urgency from sender/preview if available
  • If urgent comms → recommend /ops-inbox [channel]

Priority 3 — READY-TO-MERGE PRs

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

Priority 4 — LINEAR SPRINT

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.

Priority 5 — GSD WORK

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.


Output format

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 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 "), constrain the analysis to that context.


Native tool usage

Tasks — action tracking

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.

WebFetch — enrichment fallback

When pre-gathered data is stale or incomplete, use WebFetch to pull fresh data from APIs (Linear GraphQL, Sentry, GitHub) directly.

Signals

GitHub stars
4k
Forks
543
Last commit
Sep 2026
Advanced
Item type
skill
Key
ops-next
Source
github.com/davepoon/buildwithclaude