Use NTM as an optional pane adapter for caller-supplied roles and commands. Triggers: "ntm", "tmux panes", "ntm robot state".
npx skills add https://github.com/boshu2/agentops --skill ntm
NTM hosts explicit agent roles in persistent panes. It is transport, not an
AgentOps lifecycle controller. The caller chooses the panes, roles, commands,
write scopes, and stopping point.
Robot surfaces work because they report what the pane is doing, not what was
sent to it; a dispatch layer that only proved delivery would let every dead
worker look busy.
Judge pane liveness by the truth-stack, strongest first: new artifacts on
disk, then transcript growth, then robot state and attention flags, then bare
process existence. A successful prompt send sits below all of these and proves
nothing about work.
Named failure mode — kill-the-witness: restarting a stuck pane before
capturing its state, destroying the only evidence of why it stalled.
Anti-pattern: restarting an unresponsive pane as the default remedy.
Corrective: rescue before restart — snapshot robot state and transcript,
attempt a nudge, and restart only when the truth-stack shows no liveness at
any level.
ntm --help,ntm --robot-capabilities, and ntm --robot-snapshot before unfamiliar
actions.
failed command, validate a candidate, integrate changes, or decide what runs
next.
or delivery authority.
isolation the repository requires. NTM does not infer safe concurrency.
cannot change an RPI phase result or semantic verdict.
caller's observation window ends.
For a software-factory layout, the caller may name producer, tester, validator,
or integrator panes. The same identity rule still applies: a validator for a
candidate must have a distinct context identity from its author. Merely placing
two roles in different panes is a declared runtime fact, not proof of semantic
independence. Mixed-model judgment panes follow
the agent-native model-dispatch recipe (probe, disclose, never
claude -p).
Return:
Terminal outcomes are explicit, never a silent hang:
ntm absent or the robot surface unreachable: report itand stop; do not fall back to blind key injection or assume the pane is idle.
and transcript reference; the window ending is a stop, not a failure verdict.
was and was not observed.
experiment; report which panes were created or left running so nothing is
orphaned silently. NTM never retries or reaps on its own.
Prefer machine-readable robot surfaces for capability, snapshot, attention,
tail, and pipeline observations. Use interactive key injection only when the
caller explicitly requests an interactive action and no robot command provides
the needed behavior.
External NTM documentation and examples remain the authority for command syntax;
this skill owns only the AgentOps boundary above. NTM's CLI drifts across
versions, so confirm the surface at runtime (ntm --version,
ntm --robot-capabilities) rather than trusting a remembered command.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take boshu2/ntm from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.