2,003 件 ・ 関連度順
概要と使いどころ
Connect and verify the Well MCP — authenticate, confirm the tools work, and show what to ask. Use when the user runs /well:connect, just installed the Well plugin, or says the Well connection/MCP "isn't working" / "nothing happened".
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。
Builds estimates, quotes, and bids for trades and field-service businesses (HVAC, plumbing, electrical, roofing, landscaping, painting, cleaning, remodeling, general contracting, IT/AV installs). Turns a scope into line items with waste factors, burdened labor, materials, equipment, subs, permits, mobilization, contingency, overhead, profit, and tax, then writes a client-ready xlsx (live formulas) and PDF plus an internal cost sheet, with good/better/best options, add-ons, a payment schedule, exclusions, and assumptions. Use whenever someone asks for a quote, estimate, bid, proposal price, or job price, asks "how much should I charge for this job", wants to check a price or margin on a job, or is confused about markup vs margin. Computes deterministically with a script instead of mental math, because models routinely treat a 30% markup as a 30% margin and drop labor burden, waste, and mobilization.
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。
Provides sem semantic-diff detection, install-on-first-use, and fallback patterns. Use when building skills that consume git diff 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。
Removes the egregore watchdog daemon and its associated files. Use when stopping automated session relaunching or cleaning up egregore infrastructure.
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。
Use when a skill fails for a missing tool or the environment needs checking. Diagnoses Python, R, Node, Claude Code, Git, Zotero and configured MCP servers and prints a pass/fail table with links to the setup docs. Read-only; installs nothing.
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。
Use face_recognition to detect faces, extract landmarks and encodings, compare identities, run the face_recognition and face_detection CLIs, and troubleshoot dlib/model installation.
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。
Routes face-alignment installation, import checks, landmark-detection workflows, and detector-backend selection.
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。
Guides Researchers through Faiss installation, dense and binary similarity search, index training and composition, persistence and evaluation, and explicitly gated CPU/GPU interoperability workflows.
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。
Guide Django REST Framework and GeoDjango projects through django-rest-framework-gis installation, GeoJSON serialization, spatial filtering, pagination, OpenAPI schema generation, and backend troubleshooting.
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。
Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
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。
Use DB-GPT 0.8.1 as an agentic AI data platform: install and configure provider profiles, operate its CLI and services, build agents and AWEL flows, ingest and retrieve data with RAG, call client/API surfaces, and execute code through explicitly bounded sandbox runtimes.
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。
Route DeePMD-kit package workflows for installation, data/config preparation, training, inference/model operations, integrations, and repository development.
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。
Use ClawBio for local-first bioinformatics agent workflows: install and run its skill library, route genomic or omics inputs, create reproducible reports, connect optional MCP or Nextflow integrations, and author or validate 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。
Routes Autograd install, differentiation, wrapper, extension, and optimization workflows for NumPy-based scientific Python code.
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。
Routes AutoTrain Advanced installation, CLI, config, training, UI/API, backend, and utility workflows.
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。
Routes BEVFormer camera-only 3D detection workflows, from install/import and config inspection through nuScenes data prep, distributed training and evaluation, and log analysis.
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。
Use bitsandbytes for k-bit PyTorch quantization, Hugging Face quantized model loading, 8-bit and paged optimizers, direct quantized layers/functions, and backend installation diagnostics.
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。
Use anomalib for anomaly-detection install, data/model selection, training and evaluation, deployment and inference, and benchmark pipelines.
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。
Route AIMET install, PyTorch/ONNX quantization, GenAILab, model access, cluster/Pod, Qualcomm SDK, optimization, export, and repository tasks to focused operating guidance.
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。
Operate AnyLabeling desktop annotation, auto-labeling model, dataset export, install, packaging, and release workflows for the PyQt6/ONNX image-labeling package.
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。
Routes Argos Translate workflows for offline machine translation, package installation, CLI usage, runtime settings, and troubleshooting.
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。
macOS attack hunting - foothold to root/persistence on a macOS host. TCC/Gatekeeper/SIP bypass, keychain + credential loot, code-signing/entitlements abuse, XPC/dylib/library injection, launch-constraint evasion, MDM/installer abuse. Wiki-first, FIND schema 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。
Local Windows privilege escalation on a STANDALONE / workgroup host, or a local shell on a domain member - foothold to SYSTEM. Token privileges (SeImpersonate/Potato), service misconfig (weak perms / unquoted path / writable binary), registry autologon creds, scheduled-task + writable-script abuse, DLL hijack, AlwaysInstallElevated, UAC bypass, credential loot. For DOMAIN escalation (kerberoast/DCSync/ADCS/BloodHound) use hunt-ad instead. Wiki-first, FIND schema 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。
OFFLINE FALLBACK for the claude-md-management plugin - prefer that plugin when it is installed. Audit and improve CLAUDE.md files - scan for CLAUDE.md files, evaluate quality against templates, output a report, then make targeted updates. Invoke explicitly (/claude-md-improver) when the plugin is unavailable.
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。