699 件 ・ 関連度順
概要と使いどころ
Shape or update a rolling-wave engineering project before slice preparation. Use when the user wants to start a rolling-wave project, define the finish line, clarify success criteria, create or update docs/rolling-wave/{project}/project.md, sketch a broad roadmap, or interrogate project-level direction without implementation details.
日本語の概要は準備中です。原文の説明を表示しています。
Shared support references for the rolling-wave engineering skill set. Use only when a rolling-wave workflow skill explicitly points here, or when maintaining the shape-project, prepare-next-slice, implement-slice, finalize-slice, and complete-slice skills.
日本語の概要は準備中です。原文の説明を表示しています。
Expert-level applied electromagnetics covering transmission lines, waveguides, antennas, microwave circuits, EMC, and computational EM methods.
日本語の概要は準備中です。原文の説明を表示しています。
Expert-level acoustics knowledge. Use when working with sound waves, acoustic propagation, resonance, standing waves, Doppler effect, room acoustics, ultrasound, noise control, musical acoustics, or architectural acoustics. Also use when the user mentions 'sound wave', 'decibel', 'frequency', 'resonance', 'standing wave', 'Doppler effect', 'acoustic impedance', 'reverberation', 'ultrasound', 'noise control', 'harmonics', or 'sound intensity'.
日本語の概要は準備中です。原文の説明を表示しています。
Develops an implementation plan ready for wave-orchestration to execute. Takes the user's goal or rough plan as input, mines the codebase for facts, grills the user one question at a time for the decisions, drafts the planning/ artifacts (task DAG, wave table, worker prompt template, state file), then reviews its own plan on two axes before seeking approval. Use when the user wants to turn a feature idea, master plan, or backlog into a wave-orchestration execution plan.
日本語の概要は準備中です。原文の説明を表示しています。
Drive a whole tdmcp feature BACKLOG to completion as resumable, wave-by-wave releases — the campaign layer ABOVE tdmcp-pipeline/tdmcp-feature-lead. Use whenever the user wants to implement an ENTIRE backlog or discovery file (e.g. _workspace/discovery*/FEATURE_BACKLOG*.md), 'all the features', many features across multiple releases, or a long autonomous build campaign, AND for every follow-up: continue/resume the campaign, run the next wave, re-run a failed wave, fold in QA results, or check campaign status. Backed by a ledger.json so re-running is idempotent (skips shipped work, resumes interrupted work) and resilient (retry-once then quarantine-and-continue). For a SINGLE feature or one small batch, use tdmcp-pipeline instead; this skill is for the whole ledger.
日本語の概要は準備中です。原文の説明を表示しています。
Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting Z-Wave smart home devices (door locks, sensors, garage controllers) — common in mid-2010s smart home deployments still in production.
日本語の概要は準備中です。原文の説明を表示しています。
Control WaveTone 2.61 workflows through a JSON manifest and launch the real Windows WaveTone executable.
日本語の概要は準備中です。原文の説明を表示しています。
An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly with seisbench models.
日本語の概要は準備中です。原文の説明を表示しています。
Build a tower defense: enemies pathing along lanes, wave spawning, towers that auto-target and fire, an economy, and lives. Use for a tower-defense/wave-defense game, or balancing waves and economy.
日本語の概要は準備中です。原文の説明を表示しています。
Generate 3GPP-compliant 5G NR downlink and uplink baseband waveforms. Use to create NR signals, test model (TM) waveforms, fixed reference channels (FRC), test and measurement (T&M) signals, or test vectors for conformance testing. Covers configuring data, control, and broadcast channels and signals: PDSCH, PUSCH, PDCCH, PUCCH, SRS, SSBurst, CSI-RS, DM-RS, PT-RS, CORESET, and BWP parameters including bandwidth, subcarrier spacing (SCS), modulation (QPSK, QAM), numerology, FR1, FR2, TDD, FDD, and multi-bandwidth-part setups. Use for signal generation, RF instrument playback, or IQ baseband synthesis. Requires 5G Toolbox.
日本語の概要は準備中です。原文の説明を表示しています。
Expert patterns for managing combat waves, difficulty scaling, and automated enemy spawning in Godot 4. Use when building wave-based shooters, tower defense, or arena games.
日本語の概要は準備中です。原文の説明を表示しています。
Bevy ECS skill for encounter waves. Keywords: Bevy, waves, spawn, encounter, ECS.
日本語の概要は準備中です。原文の説明を表示しています。
Shared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizards
日本語の概要は準備中です。原文の説明を表示しています。
Queues a deferred self-update of nwave-ai. Writes a PendingUpdateFlag that the SessionStart hook replays on the next Claude Code launch, so the current session is not interrupted. Falls back to manual instructions when the package manager cannot be detected.
日本語の概要は準備中です。原文の説明を表示しています。
Port the state-delta + property-based testing paradigm to languages other than Python. DIY recipes per language; canonical Python ref shipped in nwave_ai.state_delta.
日本語の概要は準備中です。原文の説明を表示しています。
Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave
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Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.
日本語の概要は準備中です。原文の説明を表示しています。
Guided wizard to start a new feature. Asks what you want to build, recommends the right starting wave, and launches it.
日本語の概要は準備中です。原文の説明を表示しています。
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
日本語の概要は準備中です。原文の説明を表示しています。
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
日本語の概要は準備中です。原文の説明を表示しています。
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
日本語の概要は準備中です。原文の説明を表示しています。
Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
日本語の概要は準備中です。原文の説明を表示しています。