agentmail â disposable inboxes for agent workflows
openbooklet.com/s/agentmail-disposable-inboxes-for-agent-workflowsopenbooklet.com/s/agentmail-disposable-inboxes-for-agent-workflows@1.0.0GET /api/v1/skills/agentmail-disposable-inboxes-for-agent-workflowsShows what the reflect background drainer is spending: token volume split into **cached** (cheap reuse), **uncached writes** (expensive cache_creation), and **io** (input+output), plus a ballpark `$est`, grouped by day, outcome, model, or transcript. This is the observability the 2026-05-31 incident
The session "face" of the sensor-fusion hybrid. The deterministic brain is the `hangar` workflow (verb=needs); this skill renders its output and handles the irreducibly-interactive last mile (HUD + AskUserQuestion + routing).
Single place to see every claude session that wants your attention. Four signal kinds classified per session, priority ASK > ERR > IDLE > WAIT.
List every claude session across the host. Three sources merged + deduped by cwd.
Long-running watcher that scans every claude session every 5s and auto-sends `continue` to any session whose recent tmux pane buffer matches a known API-error regex (rate_limited, overloaded_error, internal_server_error, request_timeout, socket_hang_up, fetch_failed, ECONNRESET). Use this when you want unattended recovery from transient API failures across the fleet.
Show reflection metrics, pending reviews, sidecar coverage, and GraphRAG health. Read-only views into the reflect system state. Can also approve/reject pending low-confidence items.
Merge orphaned worktree memory directories for the current project into a single, tidy `.agents/MEMORY.md`. This is a **project-level** operation â it does not touch the global knowledge base.
Triages unacknowledged entries in `~/.reflect/errors.json` and acknowledges them (individually or in bulk). The statusline `â N /reflect:errors-ack` badge is the entry point â clicking the badge or typing `/reflect:errors-ack` lands here.
The global knowledge indexer. Harvests ALL memory sources across all tools (Claude, Codex, Copilot, Gemini) and all project types into the unified GraphRAG + QMD knowledge base. Archives originals, generates entity sidecars, and dual-indexes for future retrieval. This is THE command that makes the knowledge base comprehensive.
Retrieve relevant prior learnings from the global knowledge base. Hybrid vector + graph search over 170+ indexed learnings, reranked by confidence, recency, and tag overlap. Use when starting work, debugging a recurring problem, or before implementing a feature that may have prior art.
Retrofit a watchdog daemon onto an existing v1 swarm (no recreation). Upgrades team.json to v2 schema and spawns the watchdog tmux session.
Deliver a message to another Claude Code TUI session running in tmux. Use the bundled `scripts/send.sh` â it handles session resolution, pre-flight safety checks, paste-buffer delivery, and post-flight verification.
Auto-indexed from stevengonsalvez/agents-in-a-box
Are you the author? Claim this skill to take ownership and manage it.
Related Skills
graceful-error-recovery
Use this skill when a tool call, command, or API request fails. Diagnose the root cause systematically before retrying or changing approach. Do not retry the same failing call without first understanding why it failed.
audience-aware-communication
Use this skill when writing any explanation, documentation, or response that will be read by someone else. Match vocabulary, depth, and format to the audience's expertise level before writing.
Refactoring Expert
Expert in systematic code refactoring, code smell detection, and structural optimization. Use PROACTIVELY when encountering duplicated code, long methods, complex conditionals, or any code quality issues. Detects code smells and applies proven refactoring techniques without changing external behavior.
Research Expert
Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.
clarify-ambiguous-requests
Use this skill when the user's request is ambiguous, under-specified, or could be interpreted in multiple ways. If proceeding with a wrong assumption would waste significant work, always ask exactly one focused clarifying question before doing anything.
structured-step-by-step-reasoning
Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.