401 skills · sorted by relevance
Audit manufacturing predictive maintenance systems for OPC-UA/MQTT sensor data pipelines, time-series storage retention, ML model lifecycle (training-serving skew, drift detection, retraining triggers), MTBF/MTTF/MTTR reliability calculations, Weibull survival analysis.
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Analyze mining equipment maintenance systems including heavy fleet condition monitoring (oil analysis, vibration per ISO 17359/10816, thermal imaging), predictive analytics with Weibull reliability modeling and remaining useful life estimation.
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Maintenance for agent-flow context. Runs /doctor, /sync-context, /audit-risk, /repair-docs, /garden, /debt and /audit-lean; re-verifies context claims against the code before refreshing timestamps; turns repeated agent mistakes into mechanical checks. Use on a schedule, after merges flagged [CONTEXT_STALE], or when asked whether AGENTS.md is stale or the risk baseline needs review.
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Runs macOS upkeep: Homebrew update and upgrade, pulling clean git repositories, and emptying the Trash. Use when asked for Mac cleanup, maintenance, or a refresh of packages and repos.
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METAINFORMANT rules for directory scripts/maintenance. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, real implementations.
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Pause and restart Estuary connectors by disabling and re-enabling shards via flowctl. Use when temporarily stopping a connector, performing source/destination maintenance, or forcing a fresh restart to clear transient errors or load updated configs immediately. Use when user says "pause connector", "stop connector", "restart connector", "disable connector", "enable connector", "re-enable task", "disable shards", "stop my capture", "stop my materialization", "disable my materialization", "force restart connector", "connector maintenance", "temporarily stop processing", "shards disable true", "enable shards", "resume connector", or "unpause connector".
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Use when working with Atlassian Statuspage — atlassian Statuspage management, component monitoring, incident communication, scheduled maintenance, and subscriber notifications. Covers page configuration, component group management, incident lifecycle, metric tracking, and uptime reporting. Use when managing public or private status pages, communicating outages, scheduling maintenance, or reviewing component uptime in Atlassian Statuspage.
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Digital Twin Specialist IA — Expert en jumeaux numériques (IoT sensors, simulation, predictive maintenance, Unity/Unreal)
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Asset Management Specialist IA — Expert en gestion d'actifs (inventory, depreciation, maintenance scheduling, barcodes)
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Triage and fix Dependabot alerts and CodeQL findings in the ai repository. Use when the user asks to address security vulnerabilities, fix Dependabot alerts, resolve CodeQL issues, or do security maintenance.
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Operate the ClawSweeper maintenance bot for OpenClaw issues and pull requests, which are proposed code changes. Read findings, create repair jobs, monitor GitHub Actions, and manage automatic fixes or merges subject to authorization and validation checks.
Rank X and LinkedIn connections by their value as potential introducers to target people or companies. Weight connection paths, target relevance, and relationship strength to identify promising introduction routes, conditional options, and gaps in the network.
Research existing solutions before implementing a feature. Search project code, package registries, agent tools, and GitHub, then compare functionality, maintenance, licensing, and dependencies to decide whether to adopt, extend, combine, or build.
Find Laravel packages for specific features through LaraPlugins.io MCP, a connection to its package search tools. Check maintenance indicators, release history, and Laravel/PHP compatibility to compare candidates before adding a package to a project.
Review router and switch configurations before deployment. Check for dangerous commands, duplicate IP addresses, overlapping network ranges, undefined references, and exposed management access, using layered checks that help engineers assess changes before applying them.
Use the hf command-line tool to find, download, and upload models and datasets on Hugging Face Hub. The guide also covers repository management, hosted computing resources, local cache maintenance, and automation options.
Guides implementation and maintenance of Claude applications using language-specific references and official SDKs, the libraries used to call the API. Covers tool integration, streaming responses, model migration, cost reviews, prompt audits, and evaluation workflows.
Audit a test suite to identify redundant tests, empty checks, and tests tied to internal implementation. Consolidate or remove them with evidence while preserving useful checks that detect regressions, meaning previously fixed problems returning.
Keep project documentation consistent with recent code changes. Find outdated instructions, update affected reference pages and examples, and write release notes focused on user impact while leaving unchanged sections intact.
Audit an LLM Wiki for conflicting or outdated claims, broken links, missing concept pages, weak sources, and index inconsistencies. Return findings grouped by severity with evidence and suggested fixes, leaving page content unchanged.
Compare README, specification, and product documents with recent git history to find outdated claims or missing features. Make small factual corrections, preserve the existing style, and prepare a pull request for review.
Evaluate slow, unreliable, duplicated, or brittle tests by the behavior they protect and their maintenance cost. Use it to choose focused checks, justify additions or removals, and distinguish product bugs from outdated expectations or environment failures.
Maintain VoiceStudio by investigating reported bugs, reviewing contributed changes, diagnosing automated check failures, and preparing requested releases. It guides focused fixes, testing, and packaging verification for the Electron app and Python backend.
Implement features, design APIs, and improve existing code with an emphasis on readability and maintenance. The workflow covers requirements, interface design, tests written before implementation, performance improvements, and error handling.