vibing-with-ntm
Use when tending NTM agent swarms, unsticking panes, handling rate limits, or coordinating convergence.
What this skill does
<!-- TOC: One Rule | Cold Start | Tick Loop | Intervention Score Matrix | Operator Proof Card | Swarm Pathology Triggers | Pattern Tiers | Metrics | Checklist | Decision Tree | Quick Start | Attention-Feed Loop | Marching Orders | Swarm Loop | Operator Loop | Autonomous Unstick | Observability | Steady-State Cadence | Quality Loops | Coordination | Anti-Patterns | Troubleshooting | References | Related Skills --> > **If you are tending a swarm right now:** jump to the [Orchestrator Decision Tree](#orchestrator-decision-tree) below. Drop into [Autonomous Unstick](#autonomous-unstick--dont-wait-for-the-human) for recovery recipes. Everything else is context. # Vibing With NTM > **The One Rule:** Observe real state before every nudge. A swarm is not stuck, done, or blocked until pane truth, robot state, work graph, and artifact/git evidence agree. ## Outcome — When a Tending Session Has Delivered An operator tending session is complete (for now) when **all** of the following hold: - Every pane is in one of three explicit states: **making progress** (recent useful output / git activity / br/beads movement), **explicitly blocked** with a logged blocker and a handoff path, or **standing down** by policy (queue-dry, convergence, rate-limit cool-down). "Idle and you don't know why" is not a terminal state — it is unfinished tending work. - Every intervention you applied during the tick was **observed to land** via tail/event/git/br/mail evidence within one observation window. Sends that produced no downstream signal are presumed lost, not silently successful. - Any policy lever you adjusted (review-only, rate-limit posture, ensemble member set) has been **logged** so the next operator can see what the swarm's contract currently is. Undocumented policy changes are how swarms drift. - For convergence: the **triple-check** has fired — ready queue empty AND no in-flight work AND no expected upstream signals — before you declare done. Two of three is not convergence; it is observation lag. - For queue-dry / stand-down: you have **stopped manufacturing work** rather than papering over the dry queue with synthetic tasks. Tending discipline includes the discipline of doing nothing. If you find yourself sending the same nudge twice without movement, the failure mode has escalated past nudging — drop into [Autonomous Unstick](#autonomous-unstick--dont-wait-for-the-human), don't keep nudging. ## Grounding — Where Operator Truth Lives Operator decisions must be grounded in observable artifacts, never in agent self-report: - **Pane truth:** `ntm --robot-tail=<session> --lines=N`. What the agent says it's doing is a hypothesis; what the pane shows is the data. - **Work graph:** `br ready --json`, `br show <id> --json`. "Ready" status is canonical; if the agent thinks something is ready that br disagrees with, the agent is wrong. - **Mail / coordination:** the Agent Mail inbox and threads — not Slack screenshots, not summary cards. The thread is the source. - **Git state:** `git log --since=`, `git status` on the project worktrees. Commits and uncommitted changes are ground truth for "is real work being produced." - **Snapshot deltas:** compare two `--robot-snapshot` outputs N seconds apart. The diff is what actually changed; everything else is narrative. Never base an intervention on a swarm participant's self-report when one of these grounding sources can confirm or refute it. If they disagree, the artifact wins. ## Cold Start For Operators When you open this skill cold, do not read every reference first. Run one bounded operator tick: 1. `ntm --robot-snapshot` and read `sources` / `degraded_sources`, pane states, and cursor. 2. If the state is unclear, use `ntm --robot-tail=<session> --lines=40` for the suspect panes. 3. Match exactly one card or branch in the [Orchestrator Decision Tree](#orchestrator-decision-tree). 4. Act on one pane or one policy lever, then verify tail/event/git/br/mail movement. 5. If no branch fires, wait on the attention feed instead of inventing work. Use `/ntm` only when command syntax or schema details are unclear; return here for the intervention decision. ## The Tick Loop (Mandatory) ``` 1. BASELINE -> ntm --robot-snapshot; capture cursor + sources/degraded_sources 2. ATTEND -> ntm --robot-attention / --robot-wait; read only actionable deltas 3. CLASSIFY -> match one OC card or AP red flag; no card means observe more 4. SCORE -> choose the smallest reversible intervention with highest action score 5. ACT -> one targeted send/assign/lock/restart/review instruction; never blanket-nudge 6. VERIFY -> tail/event/git/br/mail/pipeline state changed; otherwise escalate one rung 7. STOP CHECK -> convergence triple-check or queue-dry; stop instead of manufacturing work 8. LOG -> record blocker, degraded source, or handoff when the operator loop changes policy ``` This is the operator counterpart to `/ntm`. `/ntm` tells you what command exists; this skill tells you when to use it, how to avoid thrashing panes, and when to stop. ## Intervention Score Matrix When several actions are possible, score them before acting: ``` Score = (Evidence x Impact x Reversibility) / BlastRadius Evidence 1-5: independent sources agree this state is real Impact 1-5: likely to move code/beads/artifacts, not just produce prose Reversibility 1-5: can undo/stop/retry without losing work BlastRadius 1-5: one pane/message is low; all panes/session kill is high ``` Only take Score >= 2.0. If every action scores below 2.0, wait on the attention feed or gather better evidence. | Candidate action | Evidence | Impact | Reversible | Blast | Decision | |---|---:|---:|---:|---:|---| | Terse prompt to one idle pane with no output and no commits | 4 | 3 | 5 | 1 | yes | | Smart-restart one pane with identical tail across 3 ticks | 5 | 4 | 4 | 2 | yes | | Broadcast "status?" to all panes | 1 | 1 | 3 | 4 | no | | Kill a pane because it says "Cogitated 35m" | 1 | 3 | 1 | 4 | no | | Stop swarm after convergence triple-check + queue-dry | 5 | 5 | 4 | 1 | yes | ## Operator Proof Card Before any intervention stronger than a read-only check, fill this mentally or in the session log: ```markdown ## Intervention: <one-line action> - Evidence: <robot attention/events>; <pane tail>; <git/br/mail/pipeline fact> - Card matched: OC-___ / AP-___ / queue-dry / convergence / other - Target: <session>; panes=<N or type>; user pane included? <yes/no> - Expected state change: <commit/bead/artifact/tail/status> - Reversibility: <wait/interrupt/smart-restart/checkpoint/restore/cancel> - Verification command: <exact command> - Escalation if unchanged: <next rung, not a jump to nuclear> ``` No proof card -> no nudge, restart, force-release, or shutdown. ## Swarm Pathology Triggers | Pathology | Smell | First detector | First move | |---|---|---|---| | Prose treadmill | many "I'll investigate" lines, no commits/beads | `git log --since=1h`, `br list` | ship-or-surface prompt to that pane | | False convergence | "LGTM"/"ready" everywhere, open work unchanged | convergence triple-check | stop if true, targeted artifact demand if false | | Stale robot state | activity says old/stale but tail/git moving | attention + tmux capture | trust newer/direct source, resync cursor | | Rate-limit mirage | pane text mentions old reset time | `--robot-health-oauth`, quota status | ping-probe before rotation | | Coordination drag | mail/register retries consume ticks | stale/unavailable mail or reservation source | degraded fallback, record it, continue | | Reservation deadlock | broad lock blocks ready work | `ntm locks list`, coordinator conflicts | narrow/renew/release with evidence | | Review bead flood | agents file issues but close none | `br` plus BV status mix | switch to close-the-backlog mode | | Context cliff | context >85%, repeated summaries | snapshot/context | handoff-then-restart | | Queue-dry ambiguity | `br ready` empty but
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.