'pin' 검색 결과

Firmware development for the Waveshare ESP32-C6-Touch-LCD-1.47 board (ESP32-C6FH8, QFN32, 8 MB flash, SKU 31203 / 31201-M) — its 1.47" 172x320 JD9853 IPS panel, AXS5106L capacitive touch controller on I2C 0x63, QMI8658A IMU on I2C 0x6B, microSD/TF slot on the shared SPI2 bus, ETA6098 battery charger with VBAT sensing, USB-Serial-JTAG console, Wi-Fi 6/BLE/802.15.4 radio, and the ESP-IDF + PlatformIO setup around them. Use when working on this board: project setup, platformio.ini and sdkconfig, pin mapping and strapping pins, JD9853 bring-up, touch coordinates and calibration, LVGL memory budgeting, backlight PWM, TF card on the shared bus, battery voltage, flashing over Type-C, or debugging why something on the board does not work. This is NOT the non-touch ESP32-C6-LCD-1.47 (ST7789, 4 MB) — the two share a name and almost no pins.

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Firmware development for the ProMicro nRF52840 (V1940) — the nice!nano v2 compatible clone also sold as SuperMini nRF52840, nRF52840 Pro Micro or nRFMicro (nRF52840 QIAA, Cortex-M4F @ 64 MHz, 1 MB flash / 256 KB RAM, BLE 5 + 802.15.4, native USB, Adafruit UF2 bootloader with SoftDevice S140). Covers the PlatformIO + Adafruit nRF52 Arduino setup for a board that ships in neither, the vendored board definition and Pro Micro pin map, USB CDC via TinyUSB, Bluefruit BLE, the 32.768 kHz crystal that clones omit, SAADC pins, NFC pins as GPIO, and Zephyr's promicro_nrf52840 board target. Use when working on this board or any nice!nano v2 / ZMK keyboard controller: project setup, platformio.ini, pin mapping, LED not blinking, double-tap RESET and UF2/DFU flashing, SoftDevice version mismatches, a board that enumerates but never runs, or debugging why something on the board does not work.

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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.

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Assigns isolate identity at the right resolution for the question -- ANI/Mash species triage, 7-locus MLST historical comparability, cgMLST/wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR/SeqSero2 Salmonella, SerotypeFinder E. coli, Kaptive Klebsiella, SeroBA pneumococcus, spa+SCCmec S. aureus), and lineage callers (TB-Profiler/Mykrobe barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas/database versions, assigning MTBC lineage with the Napier 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.

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Generate, evaluate, and improve Rosetta Stone attribute mappings for a Narrative dataset. Use when: "map this dataset to Rosetta Stone", "suggest normalized attributes for dataset N", "evaluate the mappings on dataset N", "why is this mapping low confidence", "fix this expression", "improve this NQL mapping expression". (narrative-common)

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Assigns isolate identity at the right resolution for the question -- ANI / Mash species triage, 7-locus MLST historical comparability, cgMLST / wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR, SeqSero2 for Salmonella; SerotypeFinder for E. coli; Kaptive K/O for Klebsiella; SeroBA for pneumococcus; spa + SCCmec for S. aureus), and lineage callers (TB-Profiler / Mykrobe Coll-Napier barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas / database versions (chewBBACA vs Ridom vs EnteroBase), assigning MTBC lineage with the Napier 2020 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with explicit pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Assigns isolate identity at the right resolution for the question -- ANI / Mash species triage, 7-locus MLST historical comparability, cgMLST / wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR, SeqSero2 for Salmonella; SerotypeFinder for E. coli; Kaptive K/O for Klebsiella; SeroBA for pneumococcus; spa + SCCmec for S. aureus), and lineage callers (TB-Profiler / Mykrobe Coll-Napier barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas / database versions (chewBBACA vs Ridom vs EnteroBase), assigning MTBC lineage with the Napier 2020 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with explicit pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.

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task-list.jsonのタスクを実行。workflowフィールド（tdd/e2e/task）に応じたワークフローで実装。 Trigger: dev:developing, /dev:developing, 実装, 開発, implementing, develop

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Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data. Use when: scraping websites, crawling entire sites, extracting web content, converting HTML to markdown, building web scrapers, handling dynamic JavaScript content, bypassing anti-bot protection, extracting structured data from web pages, or when encountering "content not loading", "JavaScript rendering issues", or "blocked by bot detection". Keywords: firecrawl, firecrawl api, web scraping, web crawler, scrape website, crawl website, extract content, html to markdown, site crawler, content extraction, web automation, firecrawl-py, firecrawl-js, llm ready data, structured data extraction, bot bypass, javascript rendering, scraping api, crawling api, map urls, batch scraping

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Search and browse Pinterest pins, get pin details, and send actual images to the user via Telegram/messaging. Use when the user wants to find inspiration, search for images/ideas, or browse Pinterest content. Sends images directly, not just links.

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Style documents and other artifacts with Anthropic's brand colors and fonts. The skill specifies heading and body typography, readable text colors for different backgrounds, and accent colors for shapes, with fallback fonts when needed.

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• Matching presentation colors to Anthropic's brand
• Applying consistent heading and body fonts
• Choosing text colors for light and dark backgrounds

Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.

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• Convert units while carrying measurement uncertainty
• Build an uncertainty budget from calibration data
• Audit Python calculations for unit and uncertainty errors

Screen compound libraries for drug discovery using drug-likeness guidelines, structural alerts that flag patterns for review, and molecular complexity measures. Combine criteria to shortlist candidates and retain filtering results with reasons for further assessment.

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• Screen compound libraries with drug-likeness rules
• Flag PAINS and other structures for review
• Combine property, structure, and complexity filters

Analyze Android apps in a CTF sandbox using static inspection and Frida hooks, which observe or alter running code. Trace request signing, local storage, and Java-to-native boundaries to reproduce a request accepted by the server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing request-signing inputs and outputs
• Inspecting Java-to-native calls with runtime hooks
• Examining app settings, databases, and token storage

Translate a Python trading strategy or written trading rules into code for TradingView, 通达信, 同花顺, 东方财富, and MT5. Receive platform-specific indicators or strategy code, setup instructions, and notes explaining features that cannot be translated directly.

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• Exporting a backtested Python strategy to charting platforms
• Creating indicators from written trading rules
• Preparing equivalent signals for multiple platforms

Audit GitHub Actions workflows and CI/CD configurations for supply chain risks. Use Python and YAML parsing to identify unpinned actions, unsafe event expressions, excessive permissions, dependency confusion, and potential exposure of secrets in build pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing GitHub Actions workflow security
• Checking action version pinning
• Finding unsafe event expressions in scripts

Monitor local network traffic for ARP spoofing, where false address mappings can redirect traffic. Use ARPWatch, Wireshark, switch inspection settings, and Python monitoring to flag address changes, duplicate IP claims, gateway impersonation, and unusual ARP volumes.

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• Investigating suspected interception on a local network
• Monitoring changes in IP-to-MAC address mappings
• Checking duplicate IP claims and gateway impersonation

Turn user data and interviews into research-backed personas, or representative user profiles. The toolkit also supports mapping user journeys, planning usability tests, and combining research findings to guide and validate design decisions.

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• Creating personas from user data and interviews
• Mapping the steps of a customer journey
• Planning usability tests to validate a design

Find code components that match Figma design components by comparing names, structure, and settings. Presents candidates for approval, then creates Code Connect mappings, explicit links between design components and their implementations.

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• Link a Figma button to its code component
• Find unconnected components within a frame
• Compare similar implementation candidates

Define the documentation needed to review and hand over an AI-built app. Map architecture, permissions, configuration, secrets, and test coverage, adding relevant operational documents so reviewers can compare intended behavior with implementation and identify verification gaps.

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• Preparing documentation for an app handoff
• Mapping user flows and permission checks
• Separating existing tests, proposed tests, and coverage gaps

Create a weekly engineering and product update from GitHub and Slack, combining shipped outcomes with contributor rankings, merged pull request counts, weekly changes, consecutive shipping weeks, and a thread for asynchronous team check-ins.

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• Sharing weekly engineering and product outcomes
• Comparing contributor PR counts with the previous week
• Collecting team priorities and blockers in a Slack thread

Build Vue 3 interfaces from JSON specifications, including AI-generated layouts. The skill covers component registration, named content areas, synchronized form values, conditional visibility, validation, actions, and connections to external state management.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Display AI-generated JSON interfaces in Vue 3
• Build forms with synchronized values and validation
• Switch visible content based on application state