615 skills · sorted by relevance
Reuse patterns learned in another local project, or find, download, and publish patterns through an IPFS sharing registry. It supports confidence filters for local transfers and verification checks when downloading shared patterns.
Turn a travel idea or draft itinerary into a practical plan by researching routes, entry requirements, transfers, costs, and daily timing. Compare meaningful alternatives, track unresolved choices, and coordinate live availability checks through a separate booking workflow.
Optimize scientific Python workloads for NVIDIA GPUs by choosing suitable libraries and reducing bottlenecks. Compare outputs with the CPU version and measure complete processing time, including data transfers, to determine whether the GPU implementation provides a useful improvement.
Build and operate genomics workloads on DNAnexus using its command-line tools and Python SDK. The skill covers data transfers, app configuration checks, workflow imports, execution monitoring, and explicit cost controls for reproducible analysis workflows.
Plan and document studies that assess whether an analytical procedure suits its intended use. Select the governing framework, evaluate calibration, accuracy, precision, and detection limits, and compare methods using acceptance criteria defined before data collection.
Analyze packet captures in a CTF sandbox by rebuilding communication sessions and decoding message contents. Recover transferred files and connect packet order, timing, and reconstructed streams to observed host or malware behavior.
Compare how proxies and backend servers interpret HTTP requests in a CTF sandbox. Use paired requests and logs to pinpoint differences in paths, headers, or message boundaries, then document a minimal reproduction of unintended routing.
Prepare handoffs between engineers responsible for responding to system incidents. Organize active incidents, investigations, recent changes, and upcoming events into shift summaries, with guidance for mid-incident transfers, asynchronous updates, and checks that the incoming engineer receives alerts.
Investigate suspected data theft from AWS S3 by comparing access logs, GuardDuty findings, and Macie classifications. Identify unusual bulk downloads and transfers across accounts, assess sensitive data exposure, and build automated detection rules.
Prepare for a career change by identifying skills that apply across industries and rewriting experience in language suited to a target role. Develop resume structure, identify skill gaps, and draft a clear explanation for the transition.
Analyze single-cell data with scvi-tools, using deep learning to combine datasets, correct differences between experiments, and transfer cell labels. Model guides and reusable scripts cover RNA, protein, chromatin accessibility, spatial data, and downstream analysis.
Plan an agent's handover to a fresh successor before its context fills up. Prepare transfer materials, preserve the role's address, record tenure history, and explicitly transfer recurring duties and authority while keeping a way to consult retained predecessors.
Review token contracts and the protocols that accept them for ERC20/ERC721 compliance, privileged controls, and unusual transfer behavior. Produces evidence-based risk assessments and prioritized fixes, with supply and holder analysis when deployed contract details are provided.
Create and operate Starknet wallets for AI agents. Check token balances, send transfers, interact with smart contracts, and manage session keys, temporary permissions that let an agent perform approved transactions within spending limits and an expiry time.
Build JavaScript or TypeScript apps that interact with NEAR. This skill guides token transfers, smart contract calls, account and key management, transaction signing, and message authentication through near-api-js v7 examples.
Connect an AI agent to BNB Chain through MCP, a protocol for accessing external tools. Configure the server, inspect balances and transactions, transfer tokens, interact with contracts, register agents, and manage Greenfield storage.
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
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Transfers gene annotations between genome assemblies via coordinate liftover (UCSC liftOver, CrossMap for same-species version updates) or feature/sequence projection (Liftoff for same/close species, miniprot for protein-level cross-species, TOGA/GeMoMa/CAT for distant clades). Covers the coordinate-vs-projection decision by divergence, why a successful lift is not biological confirmation, reference bias, the silent-dropping of unmapped features, build/PAR/MHC/inversion hazards, and transfer-vs-de-novo validation. Use when annotating a new assembly of a species with an existing reference, harmonizing coordinates across builds, or mapping annotations across related species.
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Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma, Schwede & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2021 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies.
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Active credit card transfer bonuses from Amex, Chase, Capital One, Citi, Bilt, and Rove. Weekly-refreshed data with confidence markers. Use when pricing an award booking that involves a points transfer or deciding whether to wait for a better bonus.
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Credit card to loyalty program transfer ratios. Cross-references seats.aero award prices with transfer ratios to find the cheapest path from UR, MR, TYP, Capital One, or Bilt to any mileage program.
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Guides implementation of technical, contractual, and organisational supplementary measures for international data transfers per EDPB Recommendations 01/2020. Covers encryption, pseudonymisation, split processing, audit rights, transparency obligations, and internal policies. Keywords: supplementary measures, encryption, pseudonymisation, EDPB recommendations, transfer safeguards.
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Guides compliance with Thailand's Personal Data Protection Act B.E. 2562 (2019). Covers consent framework, DPO requirements, PDPC enforcement, lawful bases for processing, cross-border transfer mechanisms, and data subject rights under the PDPA. Keywords: Thailand PDPA, PDPC, consent, DPO, cross-border transfers, data subject rights.
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Manages RoPA for complex multi-entity corporate groups including entity-level versus group-level records, intra-group transfer documentation, and shared processing coordination. Activate for group RoPA, multi-entity, corporate group, intra-group transfers, subsidiary records, holding company.
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