115 skills · sorted by relevance
Expert guide for maps and geospatial data (Mapbox GL JS, Leaflet, Google Maps, PostGIS) / Panduan ahli peta dan data geospasial (Mapbox GL JS, Leaflet, Google Maps, PostGIS).
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Fuzzing with AFL++ for comprehensive binary and source code fuzzing.
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Create interactive maps, elevation profiles, and spatial visualizations from GPX tracks, waypoints, or route data using R (sf, leaflet, tmap) or Observable (D3, deck.gl). Covers data import, coordinate system handling, map styling, and export to HTML or image formats. Use when visualizing a planned or completed tour route on an interactive map, creating elevation profiles for hiking or cycling routes, overlaying waypoints and POIs on a basemap, or building a web-based trip dashboard.
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Use when a LibAFL fuzzer needs an executor, observer, feedback, mutator, scheduler, or objective composed around a target. Not for remote, credential, publish, deploy, or irreversible changes.
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Leaflet interactive maps. Use when building a 2D map with tile layers, markers, popups, GeoJSON, layer control, custom controls or marker clustering.
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Use this skill when configuring Data Manager in CRM Analytics: enabling objects for sync, scheduling data sync runs, setting up remote connections to external databases, monitoring sync status and error logs, or troubleshooting connected object issues. Trigger keywords: data sync, connected objects, Data Manager, sync schedule, remote connection, Snowflake connector, sync error, incremental sync, CRM Analytics data pipeline. NOT for pushing external data in programmatically via the External Data API — use data/analytics-external-data. NOT for authoring dataflow nodes — use admin/analytics-dataflow-development.
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Use this skill when designing or building CRM Analytics Data Prep recipes — including node selection, join patterns, bucket field configuration, formula expressions, and scheduling. Triggers: 'build a recipe', 'join datasets in analytics', 'bucket a measure field', 'schedule a recipe', 'data prep transformation'. NOT for dataflow JSON and its node types — use admin/analytics-dataflow-development. NOT for tuning a slow or oversized dataset — use data/analytics-dataset-optimization.
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AgoraFlow skill — Q&A platform for AI agents.
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Authors reproducible Nextflow DSL2 pipelines built on reactive dataflow, where processes communicate only through channels and execution order is not guaranteed. Use when deciding channel/dataflow (Nextflow) vs rule-based (Snakemake) authoring; wiring queue vs value channels and fixing shared-reference exhaustion with .first(); composing DSL2 modules and subworkflows with take/main/emit; selecting container/conda profiles and pinning images by digest for portability across local/SLURM/LSF/AWS Batch/Google Batch/Kubernetes executors; diagnosing why -resume misses the cache (nondeterministic input order, mtime on network filesystems, mutable :latest tags) with cache 'lenient' and -dump-hashes; managing work/ vs publishDir and dynamic retry escalation; and choosing whether to adopt an nf-core community pipeline or author from scratch.
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Automate browsing in cmux panels without taking focus away from current work. Target a specific panel to open pages, fill forms, click controls, wait for page changes, extract content, and inspect download history.
Build a custom cmux sidebar from a plain-language request, showing live workspaces, tabs, pull requests, or a clock. It creates and validates the sidebar file, enables the beta feature, and supports clickable actions, reordering, and updates on save.
Review agent-written code changes before merge, focusing on concrete correctness defects. Uses independent subagent reviews, targeted verification, and fresh checks after substantial repairs, with a deeper evidence-based process for security, concurrency, persistence, or data-loss risks.
Let an agent launched through cmux inspect and operate macOS apps using screenshots and accessible interface elements. It supports clicking, typing, scrolling, and dragging, with explicit user requests and permissions granted to the local helper.
Guide substantial Swift changes in cmux with rules for package boundaries, dependency direction, state management, concurrency, and API documentation. Structure code so public package types can be tested without launching the app.
Guide changes to Ghostty within cmux, including optimized GhosttyKit builds and upstream updates. Defines how to publish submodule commits, update the parent repository’s reference, and document fork changes so future checkouts can retrieve the required code.
Diagnose cmux problems with read-only checks for command access, settings, hooks, notifications, and session restore. Interprets the results and prepares a support summary without exposing raw session data, prompt logs, tokens, or other secrets.
Update cmux interface text across supported languages and audit the results. The workflow identifies changed messages, prepares translation entries, and checks for missing translations, plural forms, and placeholders that insert values into text.
Guide cmux backend changes with consistent rules for Effect, a TypeScript library for structured error handling. Covers Cloud VM state, database migrations, provider integrations, and authentication and payment checks so changes follow the intended architecture.
Prepare and troubleshoot cmux releases by collecting changelog entries, updating versions, checking release readiness, and publishing tags. Follow requirements for macOS disk images, signing, notarization, and update feeds that guide installed apps to new versions.
Choose checks for cmux changes, add tests that reproduce observable bugs, and verify that Swift test files are included in build targets. It also guides local and CI validation, including evidence that selected tests actually ran.
Customize cmux keyboard shortcuts for workflows such as tmux-style commands, Vim-style pane movement, or notification handling. It helps inspect existing bindings, apply selected changes, validate supported settings, and provide precise instructions for reverting them.
Run commands and coding agents on existing cmux Cloud machines, monitor work that continues after disconnection, and present results through workspaces or service URLs. The skill guides machine selection, background execution, and result verification.
Unify cmux behavior across shortcuts, menus, and CLI commands. This skill guides shared update logic, recovery when an update fails, and tests that reproduce bugs missed by existing coverage.
Trace failing cmux Swift package tests to the commits that introduced them by running older revisions in CI, the automated testing environment. It helps distinguish outdated expectations, code regressions, and intermittent failures, then guides focused fixes and verification.