「bi」の検索結果

Download, screen, and map non-North-America auxiliary EcoSIM climate variables from global or regional atmospheric-chemistry data sources. Use when a non-US/non-NLDAS site needs annual EcoSIM precipitation chemistry variables such as PHRG, CN4RIG, CNORIG, CSORG, CCARG, CMGRG, CNARG, CKARG, or CCLRG; when deciding whether to use CAMS, EBAS, EANET, or MERRA-2; or when deriving site-specific auxiliary variables after ERA5 climate forcing has been prepared.

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。

Extract AmeriFlux site metadata and map it to EcoSIM JSON variables. Use when a task needs site latitude, longitude, elevation, mean annual temperature, Koppen climate code, or vegetation type for an AmeriFlux site ID or flux-site name.

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。

Estimate calcium-normalized Gapon selectivity coefficients from paired exchange and solution chemistry, or initialize depth-explicit EcoSIM Gapon inputs from the closest bundled ecosystem template when paired chemistry is unavailable. Use when deriving or checking EcoSIM GKC4, GKCH, GKCA, GKCM, GKCN, or GKCK values; matching a target ecosystem, climate, vegetation, and management regime to a starting profile; remapping template values to target soil layers; or documenting that template-based values require calibration or tuning.

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。

Download Copernicus CDS ERA5 single-level point time-series climate forcing for non-US or non-NLDAS EcoSIM sites from longitude/latitude coordinates. Use when a paper-derived site is outside the NLDAS domain, lacks AmeriFlux/FLUXNET curated forcing, or needs global ERA5 variables such as 2m temperature, dewpoint temperature, surface pressure, solar radiation, precipitation, and 10m wind components for EcoSIM preprocessing.

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 this skill when you need to derive a Koppen-Geiger climate label from input latitude and longitude, then convert between the letter code such as `Csa` and the EcoSIM-style numeric code such as `34`.

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, validate, and edit EcoSIM plant management inputs using pft_mgmt_in NetCDF, editable Excel workbooks, and optional PlantMgmtWriter.py JSON files. Use when creating or checking natural PFT management data, converting pft-mngt NetCDF to an Excel sheet for editing, converting edited Excel back to JSON or NetCDF, validating pft_type/pft_pltinfo/pft_mgmt entries, or preparing PlantMgmtWriter.py inputs for EcoSIM.

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。

Extract EPA/NADP tDEP atmospheric deposition and NADP precipitation chemistry rasters for an AmeriFlux or EcoSIM site. Use when deriving atmospheric chemistry inputs such as NH4, NO3, SO4, Ca, or precipitation pH for EcoSIM forcing 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。

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

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。

Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament evaluation, and telemetry-driven recommendations. Use when a user wants to uncensor, abliterate, or remove refusal from an LLM.

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。

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

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。

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

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。

Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via Python. Uses OAuth2 with automatic token refresh. No external binaries needed — runs entirely with Google's Python client libraries in the Hermes venv.

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 you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.

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 a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".

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。

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

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 this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

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。

Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.

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 UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

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。

Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.

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。

Give Hermes phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.

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。

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image 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。

Replicate and validate a GitHub issue by spinning up Archon, analyzing the issue, and systematically testing all described symptoms using browser automation. Use when: User wants to reproduce a bug, validate a GitHub issue, confirm a reported problem, or investigate whether an issue is real before working on a fix. Triggers: "replicate issue", "reproduce issue", "validate issue", "confirm bug", "test issue", "can you reproduce", "try to replicate", "verify the bug". Capability: Checks out main, pulls latest, starts Archon, reads the GitHub issue, then uses agent-browser to systematically test every symptom and produce a findings report. NOT for: Fixing issues (use /archon or /exp-piv-loop:fix-issue), general UI testing (use /validate-ui).

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 Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.

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。

Comprehensive end-to-end validation of the Archon Web UI using browser automation and codebase review. Use when: User wants to validate, test, or audit the Archon web interface, find UI/UX bugs, test workflow management, verify parallel agent orchestration, or run comprehensive browser-based E2E tests. Triggers: "validate ui", "test the ui", "e2e test", "browser test", "validate archon", "test archon ui", "ui audit", "ux review", "comprehensive test", "validate everything". Capability: Starts Archon, runs exhaustive browser automation tests via agent-browser CLI, performs codebase review, and produces a detailed bug/UX report. NOT for: Unit tests (use `bun test`), CLI-only validation (use /validation:validate-simple).

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。