Guide CUDA-enabled BindCraft protein-binder design from target PDB preparation through AF2/MPNN/PyRosetta execution, filtering, output analysis, and conservative 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。
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概要と使いどころ
Guide CUDA-enabled BindCraft protein-binder design from target PDB preparation through AF2/MPNN/PyRosetta execution, filtering, output analysis, and conservative 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。
Operate the Deep Researcher Agent repository for autonomous deep-learning experiments, execution backends, provider/tool dispatch, GPU resources, durable progress, and research-support integrations.
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。
Per-project persistent memory: save and recall durable facts across sessions as small frontmatter files, indexed in MEMORY.md.
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。
Stack Honey onto Superpowers-style workflows (subagent-driven-development, dispatching-parallel-agents, executing-plans) and any orchestration that dispatches fresh subagents. Dispatched subagents run in isolated context and do NOT inherit the session's Honey hook, so they emit full-fat code and verbose reports. Use when you are about to dispatch implementer/reviewer/fixer/parallel subagents: it gives the exact Honey directive to paste into each dispatch prompt, with a worker variant and a reviewer variant, so the levers apply inside the subagents too — where the multiplied cost actually is.
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。
Per-project persistent memory files indexed in MEMORY.md.
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 completed Shell scenario planning exercise needs to be converted into a TikTok script. Triggers when user says "make a tiktok", "tiktok script", "generate tiktok", or "content from scenario". Requires a completed scenario with narratives, findings, and worldview integration.
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。
Capture and manage screenshots during test execution
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。
Our enterprise solution with unlimited test execution, assisted setup, and dedicated support.
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。
1.7x faster test execution with intelligent caching and optimization
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。
Capture and save screenshots during test execution
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。
Pause the execution of the script for a specified duration.
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。
Execute natural language tasks using AI
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。
Execute natural language tasks using AI
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 TestDriver tests in CI/CD with parallel execution and cross-platform support
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。
Record test execution with video and logs
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。
CI/CD pipeline attack hunting (GitHub Actions focus) - pwn requests (pull_request_target), script injection, self-hosted runner takeover, cache poisoning, OIDC-to-cloud token theft, poisoned pipeline execution. 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。
Search, query, and maintain the qmd-indexed wiki - semantic search, keyword search, re-index after adding pages, check index status.
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。
Post-engagement knowledge harvest AND harness retrospective - after a box/bugbounty/pentest/CTF is completed, first diff how the engagement was EXECUTED against the skills/hooks that governed it (what discipline was skipped) and improve the harness, then sweep the whole engagement for GENERIC reusable knowledge NOT already in wiki/ and land it via the leak-gated stage->promote pipeline. Use at close-out or when asked to "extract learnings", "what did we learn", "harvest lessons into wiki", "distill this engagement", "post-mortem into the wiki", "what did we do wrong", "improve the harness from this box".
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。
Pixel-art and texel-constrained art direction for Blender assets destined for pixel rendering, low-res textures, or HD-2D-adjacent pixel reads.
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。
Production UV unwrapping for seam placement, UV packing, texel density, UDIM, lightmap UVs, and modular UV layouts. Use when preparing meshes for texturing and engine export in Blender via MCP.
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。
Analyze liquid markets with a strict ICT/SMC framework that combines multi-timeframe bias, liquidity sweeps, displacement, close-confirmed MSS/BOS, FVG/OB/Breaker/OTE retracements, premium-discount location, session timing, invalidation, targets, and risk-to-reward. Use for ICT chart reviews, live-market analysis, OHLCV scans, or validating a user's trade thesis. Return an auditable setup status and conditional plan; do not use for generic indicator analysis, order execution, or claims of proven institutional intent.
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。
Address PR reviewer feedback by evaluating comments, proposing fixes, and executing after user approval. Use when the user wants to handle review comments on an existing PR, address PR feedback, fix PR comments, respond to reviewer suggestions, or process code review feedback. Triggers on "address PR feedback", "handle review comments", "fix PR comments", "respond to PR review", "process reviewer feedback", or when given a PR number/URL with intent to address its comments.
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 a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.
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。
Coach workers, employees, and individual contributors to turn meetings, transcripts, minutes, and work notes into better execution: infer leader expectations, diagnose previous work, identify next actions, judge delivery readiness, and prepare a high-bandwidth update. Use after meetings, during work, before reviews, or across repeated low-value discussions. Perform semantic review from source evidence.
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。