241 skills · sorted by relevance
Set up machine learning training and inference on NVIDIA DGX Spark. Get guidance on choosing containers and packages, resolving CUDA compatibility errors, and checking that PyTorch can access the GPU before starting a workload.
Check a local Codewhale checkout before contributing: inspect branch and sync status, build the CLI, and run the repository’s CI checks. Present recent commits and changelog entries from local files, with clear status for each step.
Turn conversation logs, meeting notes, task records, and other OpenViking materials into daily Markdown reports. The skill separates confirmed outcomes from plans, consolidates repeated evidence, and links reported progress, decisions, blockers, and commitments to their sources.
Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.
Route internal operations questions to six specialist skills covering workflows, vendors, staffing capacity, communications, procedures, and procurement. Receive a brief summary of findings, recommended actions, and links to the documents or data files produced.
Analyze customer recommendation and satisfaction surveys, NPS and CSAT, from Google Sheets. Group comments into themes, explain weekly score changes and low-score drivers, and post a Slack digest with representative quotes without modifying survey data.
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.
Turn reports, comparisons, and dashboards into HTML pages shared through Superset. Publish a link for teammates, keep version history as the content changes, and address comments readers pin to specific parts of the page.
Set up regulatory monitoring by identifying which regulators to follow, what changes deserve attention, and where company policies are stored. The interview builds a watchlist, indexes policies, and checks which external connections actually respond.
Creates or rewrites WeChat Official Account article drafts with titles, summaries, simple HTML bodies, image placement, source links, and calls to action. Checks the intended account and audience, and flags unknown facts for review.
Gather Product Hunt launches from daily, weekly, monthly, or yearly leaderboards. Collect rankings, descriptions, votes, and product links, with optional maker profiles and visible website email addresses for product discovery and competitor research.
Design notification routing that sends agent messages to channels by topic, such as security, releases, or daily digests. Use shared configuration and message tags to keep important alerts visible among routine updates.
Prepare a release recap from changes merged since the last release tag. Group work by author, count features, bug fixes, and maintenance tasks, and post the reviewed summary to Slack for final quality checks.
Assess on-premises SharePoint Server for exposed information, legacy login paths, and conditions associated with known vulnerabilities. It guides evidence collection and helps distinguish meaningful security findings from misleading error messages.
Analyze JSON, syslog, or Nginx logs to group similar errors, count occurrences, and identify busy error periods. Filter by severity or time range, then view the report in the terminal or export it as JSON.
Collect unresolved work that needs human judgment from configured pull requests, issues, feedback, errors, and delivery signals. Group related problems into a decision queue with source links, supporting evidence, and visible gaps in coverage.
Inspect files with Apache Tika to identify their actual format, embedded content, revision traces, and risk indicators. Save extracted evidence and file hashes while distinguishing recorded claims from observed structure, without asserting authorship or validating signatures.
Compute statistics across distributed NVFLARE sites without sharing raw data. Generate and validate jobs for numeric tables or image datasets, then report site-level and global summaries, missing data rates, and applied privacy settings.
Build SHA hashing applications for BlueField or ConnectX accelerators with guidance on single-request versus chunked processing, supported algorithms, buffer sizes, memory permissions, and errors returned by the DOCA SHA API.
AI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). Generates scored daily reports with infographics and message digests. Invoke via /morning-ai.
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Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
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[omh] Recurring Hermes job on a schedule (cron, digests): design recurring Hermes operations with schedule, delivery, silence policy, context chain, and prepared-vs-observed status. Use when the user says: automation-blueprint, scheduled ops, scheduled operation, scheduled operations, automation blueprint, cron blueprint, cron-ready, recurring ops.
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Stock, capacity, and availability monitoring, acting on low-stock and slow-mover alerts, triaging order exceptions such as delays, return spikes, and complaints, and the operator's daily briefing; any start-of-day or what-needs-attention rundown is this flow, presented as a digest. Not needed for performance questions with no operational action attached.
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Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.
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