CLI 工具
命令行工具
nemoclaw-maintainer-morning
NVIDIA
"Prepare the NemoClaw morning maintainer plan: triage the backlog, select a target version, and identify release candidates and stragglers."
deno
OpenHands
If the project uses deno, use this skill. Use this skill to initialize and work with Deno projects, add/remove dependencies (JSR and npm), run tasks and scripts with appropriate permissions, and use built-in tooling (fmt/lint/test).
ce-commit
EveryInc
Create a git commit with a clear, value-communicating message. Use when the user asks to commit/save staged or unstaged changes with a repo-appropriate message.
ce-dogfood
EveryInc
"Hands-off, diff-scoped browser QA of the active branch: maps user flows, drives a real browser, autonomously fixes small breakages with regression tests and commits, judges experience against product personas, and writes a durable dogfood report. Manual invocation only."
ce-sweep
EveryInc
"Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit an lfg-ready plan. First run sets up sources; supports mode:non-interactive for scheduled runs."
ce-code-review
EveryInc
"Structured code review for bugs, regressions, tests, and standards. Use before PRs or when asked for review; report-only by default, with explicit local apply available for user-directed fix workflows."
ce-polish
EveryInc
"Start the dev server, inspect the feature in browser, and iterate on polish."
ce-riffrec-feedback-analysis
EveryInc
Analyze Riffrec feedback captures from bundles or standalone recordings. Always load for riffrec-*.zip, session.json + events.json + recording.webm + voice.webm bundles, .mp4/.mov/.webm videos, .m4a/.mp3/.wav audio, or capture/share requests.
ce-optimize
EveryInc
"Run metric-driven optimization loops. Use when improving measurable outcomes such as search relevance, clustering quality, build performance, prompt quality, or scored behavior through experiments."
ce-setup
EveryInc
"Check Compound Engineering health and repo-local config."
ce-compound
EveryInc
Document a recently solved problem as a durable repo learning, or capture project vocabulary in CONCEPTS.md. Use when capturing a learning after work.
nemoclaw-maintainer-classify-ci-failure
NVIDIA
"Classify one failed NemoClaw GitHub Actions job using bounded, redacted logs and optional retained artifacts."
local-environment
polarsource
Local development environment management for Polar using Docker
debug-instrumentation
langwatch
Debug and improve your LangWatch traces. Inspects production traces for missing input/output, disconnected spans, unlabeled traces, and missing metadata. Use when traces look broken or incomplete.
langwatch
langwatch
Read LLM traces back from LangWatch with the langwatch CLI. Use when asked what an agent, prompt or model call actually did in production, when debugging a failed or slow LLM run, when looking up a trace or session by id, or when checking whether this coding session's own activity was captured.
test-cli-usability
langwatch
Write scenario tests that verify your CLI tool is usable by AI agents. Ensures commands work non-interactively, provide clear output, and don't hang on prompts. Use when you want to prove your CLI is agent-friendly.
setup-lw
langwatch
Set up and troubleshoot the LangWatch CLI, covering login (cloud and self-hosted), endpoint configuration, project selection, and connection problems. Use when the CLI isn't authenticated, can't reach LangWatch, or talks to the wrong project.
level-up
langwatch
Take your AI agent to the next level with full LangWatch integration. Adds tracing, prompt versioning, evaluation experiments, and simulation tests in one go. Use when the user wants comprehensive observability, testing, and prompt management for their agent.
scenarios
langwatch
Test your AI agent with simulation-based scenarios. Covers writing scenario test code (Scenario SDK), creating platform scenarios via the langwatch CLI against a connected agent, reading the run parameters that agent declares so the scenarios and comparison runs turn its real levers, and red teaming for security vulnerabilities. Auto-detects whether to use code or platform approach based on context.
evaluate-multimodal
langwatch
Evaluate multimodal AI agents that process images, audio, PDFs, or other files. Sets up evaluations using LangWatch's LLM-as-judge with image inputs, Scenario's multimodal testing, and document parsing evaluation patterns. Use when your agent handles non-text inputs.
debug-with-langwatch
langwatch
Root-cause production errors and misbehaving agent runs with LangWatch. Finds errored traces, inspects spans, checks monitor and evaluator scores, then narrows to a root cause. Use when something is failing or misbehaving in production (errors, bad answers, latency spikes).
haven-setup
langwatch
"Bring up the LangWatch dev stack via thuishaven (make haven up) — one-time proxy/CA setup, reusing existing local ClickHouse/Postgres/Redis, WSL2/no-colima fallback for langyagent, and the known gotchas that silently break it."
nemoclaw-contributor-onboard
NVIDIA
"Set up, repair, or check a NemoClaw contributor checkout. Also handles requested development CLI exposure, runtime onboarding, and pinned-agent launch."
nemoclaw-maintainer-find-review-pr
NVIDIA
"Find high-priority open NemoClaw security PRs to review, including competing or superseded candidates."