39 件 ・ 関連度順
概要と使いどころ
OpenOCD 下载与调试工具，用于探针探测、固件烧录、Flash 擦除、GDB Server 启动、目标复位控制、 Telnet 在线调试（halt/resume/step/寄存器/内存/断点）、GDB 源码级调试，以及 Semihosting/ITM 输出捕获和底层查询。 当用户提到 OpenOCD、ST-Link、CMSIS-DAP、DAPLink、FTDI、烧录固件、擦除 Flash、GDB Server、 reset、interface/target/board 配置、openocd.cfg、在线调试、单步、断点、寄存器查看、 内存读写、semihosting 时自动触发，也兼容 /openocd 显式调用。 即使用户只是说"烧录一下"、"启动 GDB Server"、"擦除芯片"、"看看寄存器"、"单步调试" 或"抓一下 semihosting"，只要上下文涉及 OpenOCD 支持的开源调试器就应触发此 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。
Submit compact BindingDB REST API requests for ligand-target binding lookups by PDB, UniProt, or similarity search. Use when a user wants concise BindingDB summaries; save raw payloads only on request.
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 running GDB: breakpoints, watchpoints, segfault or hang debugging, reverse debugging, remote gdbserver, core dumps, pretty-printers, Python scripting, or multi-threaded debugging.
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。
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
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。
Query BindingDB for protein-ligand binding affinity data
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。
probe-rs 下载与调试工具，用于探针发现、固件烧录、复位、内存读写、GDB Server 调试和 RTT 日志读取。 当用户提到 probe-rs、cargo-embed、DAP、RTT、CMSIS-DAP、ST-Link、J-Link、烧录、芯片信息、 连接 under reset、probe 选择器、probe-rs gdb、probe-rs attach 时自动触发，也兼容 /probe-rs 显式调用。 即使用户只是说"用 probe-rs 烧进去"、"看看 RTT"或"拉个 backtrace"，只要上下文明确提到 probe-rs 的功能、CLI 命令或相关术语（如 cargo-embed、RTT、probe-rs flash）时就应触发此 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 when reverse engineering tools are missing, not working, or need configuration. Installation guides for radare2 (r2), Ghidra, GDB, QEMU, Frida, binutils, and cross-compilation toolchains. Keywords - "install radare2", "setup ghidra", "r2 not found", "qemu missing", "tool not installed", "configure gdb", "cross-compiler"
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 need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing (strace), breakpoints, memory inspection, function interception. Keywords - "run binary", "execute", "debug", "trace syscalls", "set breakpoint", "qemu", "gdb", "frida", "strace", "watch memory"
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。
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.
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。
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
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。
Performs pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results. Used when the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), single-sample scoring (ssGSEA/GSVA), and functional profiling via gseapy, g:Profiler, Enrichr libraries, MSigDB, GO, KEGG, Reactome, and WikiPathways — plus gene-ID mapping, choosing the right background universe, multiple-testing correction, redundancy reduction, dotplots/enrichment maps, and publication-ready tables. Use this for "pathway analysis", "enrichment analysis", "GO enrichment", "KEGG/Reactome pathways", "GSEA", "over-representation", "functional annotation", or "what pathways are my genes in".
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 to run GSVA or ssGSEA pathway-level differential analysis from a bulk expression matrix and a sample group file, then generate a heatmap from the saved GSVA result object. Trigger keywords: GSVA, ssGSEA, pathway enrichment, KEGG pathway analysis, MSigDB. NOT for: gene-level differential expression, single-cell analysis, methylation analysis, clinical diagnosis.
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。
tags: [bioconductor, r, proteomics, vignette-grounded]
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。
官方Viking CLI 命令行助手：本CLI覆盖火山引擎/BytePlus VikingDB(向量库)/Knowledge(知识库)/Memory(记忆库)的数据集管理和数据的读写及检索， 可用于扩展Agent的知识检索边界 提升Agent的记忆能力； 当用户对知识库/向量库提问时，使用本Skill; 当用户要操作向量库/知识库 或 从向量库/知识库检索信息时使用本Skill； 当用户要记忆检索和记忆存储时，使用本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 when reverse-engineering a binary or firmware — static triage + decompilation (Ghidra/IDA/Binary Ninja), dynamic instrumentation (GDB/Frida 17/angr), anti-reversing & packer bypass, OLLVM/VM deobfuscation, UEFI/BIOS RE & Secure Boot research, patch-diffing for n-days
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。
GSEA and over-representation analysis (ORA) for RNA-seq and proteomics. Wraps Enrichr for ORA against MSigDB, KEGG, GO, and 200+ databases; runs preranked GSEA on ranked DE gene lists. Outputs enrichment tables and running-score plots. Use after DESeq2 or edgeR for pathway-level interpretation.
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。
Cross-reference compound IDs across 20+ databases (ChEMBL, DrugBank, PubChem, ChEBI, PDB, SureChEMBL, HMDB, DrugCentral, BindingDB) via UniChem REST API. Resolve InChIKeys to source IDs, translate between source-specific IDs, find structurally related compounds by connectivity. POST with a JSON body for all cross-reference queries; only /sources is GET. No auth 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。
Query STRING for protein-protein interactions. Use when user asks about protein interactions, interaction networks, binding partners, or interactome. Triggers on "string", "protein interaction", "interaction network", "binding partners", "interactome", "PPI".
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。
Think and work like an expert Chronobiologist. Use when a task calls for Chronobiologist judgment. Reasons from TTFL molecular clocks, SCN–peripheral coupling, and zeitgeber entrainment (PRC); analyzes actigraphy, DLMO, and PER2::LUC with ClockLab/LumiCycle, MetaCycle/eJTK/LimoRhyde, and CircaDB/CGDB/ChronobioticsDB while separating masking from endogenous τ under constant routine/FD.
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。
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output. TRIGGER when user requests to "operate tmux", "split pane", "run in tmux", "interactive debug", "start REPL", or running interactive CLI commands.
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。
Host-based simulation using the Zephyr native_sim board. Covers building for Linux/macOS/Windows, automated testing, host-side debugging (GDB, Valgrind), and host-target integration. Trigger when developing application logic without hardware or setting up CI/CD tests.
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 debugging the Linux kernel: kgdb and kdb, ftrace and kprobes, dynamic debug, kdump and crash analysis, or printk levels on a live or crashed target.
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 writing HIP kernels with hipcc, porting CUDA code through HIPIFY, profiling with rocprofv3, debugging with rocgdb, or optimizing for MI300X. Not for NVIDIA-side kernels: use cuda.
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 debugging RelWithDebInfo or -O2 release builds, using -Og for debuggable optimization, split-DWARF, GDB scheduler-locking, reading inlined frames, or understanding "value optimized out".
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。