6,606 件 ・ 関連度順
概要と使いどころ
Single-task pipeline: plan → test → build → review (ship separately). Use for a feature or scoped fix. NOT for green-field builds (mk:autobuild) or auto-orchestration (mk:workflow-orchestrator).
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。
Auto-decompose large tasks into DAG-compatible parallel subtasks
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。
Parallel code verification using multiple models with severity classification
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。
Pre-generation architecture check — detect R006 separation-of-concerns and compilation metaphor violations before code generation begins
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。
Aggregate parallel agent results into concise output
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。
10-team parallel deep analysis with cross-verification for any topic, repository, or technology. Use when user invokes /research or asks for comprehensive research.
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 4-6 parallel design mockups for rapid visual comparison — adapted from gstack /design-shotgun pattern
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。
Parameterized evaluator-optimizer loop for quality-critical output with configurable rubrics
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。
Multi-angle release quality verification using parallel expert review teams
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。
Parameterized prompt templates using Jinja2 patterns for reusable, dynamic agent prompts
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。
Spin up a coordinated multi-agent swarm (hierarchical or mesh topology) to work a complex, multi-file task on a ruOS desktop. Use when a task needs 3+ agents working in parallel with anti-drift coordination; skip for single-file edits.
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。
Deterministically score comparable imported review-run lanes with root-cause metrics and uncertainty. Use only when the user explicitly asks to benchmark normalized local review runs or use the bundled synthetic fixture.
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。
Prepare, execute and verify authorized Fusion CAD changes using resolved entities, explicit units and state-bound plans. Use for reviewed parameter, sketch, feature, assembly or configuration operations.
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。
Inspect an explicit Fusion design, parameters, geometry, references, configuration and health without editing it. Use for model understanding or engineering audits.
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。
Prepare qualified Fusion CAM setups, operations, toolpaths and quarantined NC candidates using explicit manufacturing assets and authority. Never controls physical equipment.
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。
Create interactive AI role-play training activities as self-contained HTML. Use when the user asks to generate a role-play, persona practice, sales simulation, customer conversation drill, compliance scenario, or any learner-vs-AI-character training exercise.
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 visuals that sell a specific offer and value proposition. Translates an offer (price, bundle, guarantee, bonus, deadline) into hero visuals that make the value legible at a glance. Use when the user says "visualize the offer", "promo creative", "make the deal look good", "value prop hero", or has a concrete offer to merchandise. Part of the Creative Production set.
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。
Autonomous driver loop for ExploitHunter vulnerability-research campaigns. Runs breadth-first waves of research lanes on rented hosts with no per-request human approval, steers lanes via the shared Investigation Graph (demoting dead ends, respawning on high-signal priorities), saturates host capacity, and enforces wave/budget/safety discipline. Use when driving a multi-target bug-hunting campaign, launching parallel research lanes, or resuming a campaign from a state snapshot.
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。
Run the extended Corpo Net range suite across many models on one remote host with parallel isolated range instances, local Langfuse recording, bounded spend, and verified teardown. Use when asked to run, rerun, or scale a Corpo Net campaign; use run-ephemeral-hosts for the host contract and manage-remote-resources for billable resource ownership.
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。
Offload builds, tests, or artifact verification to authorized SSH hosts and isolated worktrees; synchronize remote fixes into dedicated coordinator commits and preserve reproducible build provenance. Use for spare development capacity and remote build troubleshooting. Paid provisioning requires a separate resource lifecycle contract.
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。
Plan and run safe reverse engineering, decompilation, disassembly, instrumentation, de-obfuscation, and anti-analysis countermeasures for binaries, firmware, mobile apps, WebAssembly, JavaScript bundles, and .NET assemblies. Use when the user asks for reversing strategy, decompiler selection, binary analysis, malware-style triage, unpacking, deobfuscation, defeating anti-debug or anti-VM checks, Wakaru, Ghidra, IDA, RetDec, radare2, Rizin, Frida, angr, YARA, or command scripts that capture analysis stats.
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。
Maps between gene identifier systems (Ensembl, Entrez, HGNC symbol, UniProt, RefSeq, MANE) using AnnotationDbi, biomaRt, mygene, pyensembl, and Ensembl REST. Encodes Ensembl version stripping with GENCODE _PAR_Y preservation, the Ziemann 2016 Excel autocorrect debacle and Bruford 2020 HGNC renames (SEPT*->SEPTIN*, MARCH*->MARCHF*, MARC*->MTARC*, DEC1->DELEC1), OCT4/POU5F1 alias resolution, biomaRt archive endpoints for release pinning, the `filters` (plural) gotcha, MANE Select for clinical reporting, cross-species orthology via Ensembl Compara / OMA / OrthoDB, and tx2gene construction for tximport. Use when converting gene IDs across systems, handling renamed symbols, building tx2gene, pinning to a specific Ensembl release for reproducibility, or mapping cross-species orthologs.
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。
Bead-based signal normalization and cross-batch harmonization for CyTOF and high-parameter cytometry - EQ four-element bead normalization of instrument sensitivity drift (CATALYST normCytof, premessa), and reference-anchor cross-batch normalization (CytoNorm, per-cluster quantile splines). Covers the distinction between within-run drift correction and between-batch correction, the mandatory anchor/reference sample, why normalization is per-cluster with many quantiles, and the over-correction risk. Use when correcting CyTOF signal drift, harmonizing multi-batch or multi-site studies, or deciding whether to normalize data versus model batch in the design.
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 and removes doublets/aggregates from flow, spectral, and mass cytometry before clustering or quantification. Covers FSC-A vs FSC-H singlet discrimination (the Area-Height non-proportionality, not a 1D area gate), FSC-W/SSC width gating, CyTOF Gaussian discrimination parameters (Center/Offset/Width/Residual/Event_length) and DNA intercalator gating, and the residual heterotypic conjugates that survive scatter gating and masquerade as double-positive populations. Use when filtering aggregates before phenotyping, choosing a doublet method for flow vs CyTOF, or diagnosing a suspicious double-positive cluster.
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。