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Found 277 Skills
Guides the agent through installing, authenticating, configuring, and using the Capawesome CLI (@capawesome/cli). Covers installation, interactive and token-based authentication, project linking via capawesome.config.json, the full command reference (app management, native builds, live updates, certificates, environments, channels, deployments, destinations, devices), CI/CD integration with token auth and JSON output, and diagnostics via the doctor command. Do not use for Capawesome Cloud feature setup (native builds workflow, live updates workflow, app store publishing) — use the capawesome-cloud skill instead.
Use when working with Hot Updater CLI setup, deployment, patch artifacts, bundle inventory/state, rollback, channels, code signing keys, database migration, diagnostics, or AI-assisted React Native OTA operations.
FORGE Vector Memory — Diagnostic tool for the vector memory index. Operations: sync, search, status, reset. Usage: /forge-memory sync | /forge-memory search "query" | /forge-memory status | /forge-memory reset
Run context-mode diagnostics. Checks runtimes, hooks, FTS5, plugin registration, npm and marketplace versions. Trigger: /context-mode:ctx-doctor
Manage host-mode duoduo runtime settings and diagnostics. Use when the user asks to inspect or change daemon status, daemon config, daemon logs, Codex runtime enablement, debug log level, telemetry persistence, cadence frequency, or other persistent host-mode settings stored in ~/.config/duoduo/.env. Also trigger for Chinese requests such as 帮我启用 codex runtime, 打开 debug log, 关闭 telemetry, 调 cadence 频率, or 看看 duoduo daemon 配置.
Fuzz React Doctor rules for crashes, slowness, false positives, and mutation-sensitive diagnostics with @react-doctor/fuzz. Use after rule tests pass, when investigating a fuzz finding, or whenever an eval, review, or user report confirms a new false positive.
Orchestrates a structured design review by running existing skills in a diagnostic funnel, from complexity triage through structural, interface, and surface checks to a full red-flags sweep. Use when reviewing a file, module or PR for overall design quality and you want a comprehensive, prioritized assessment rather than a single-lens check. Not for applying one specific lens (use that skill directly) or for evolutionary analysis of how code changed over time (use code-evolution).
Use this skill when diagnosing, configuring, or monitoring NICs for AF_XDP / XDP workloads. Covers driver detection, hardware queue configuration, offload control (GSO/GRO/TSO/LRO), VLAN offloads, Flow Director (FDIR) rules, CPU core pinning and NUMA awareness, hardware queue and drop monitoring, BPF program inspection with bpftool, kernel tracing via ftrace, perf profiling and flamegraphs, IRQ-to-queue-to-core mapping, and a quick diagnostic checklist.
Helps engineering managers prevent and respond to engineer attrition by diagnosing retention risk, choosing the right intervention, and preparing retention conversations. Use when the user says "developer quit," "attrition," "someone is disengaged," "how do I retain," "engineer is leaving," "developer unhappy," "keeping the team," "someone seems checked out," "engineer received another offer," "retention risk," or "my best engineer may leave." Produces a five-state diagnostic, action plan, conversation script, compensation/equity guidance, zero-budget recognition ideas, and warning signs. Do NOT use when the issue is day-to-day motivation only; use engineer-motivation.
Fit Bayesian regression models with PyMC using the Hogg approach — start simple, diagnose problems, upgrade the likelihood. Use when the user needs regression with proper uncertainty quantification, heteroscedastic errors, outlier robustness, or model comparison. Covers Normal, Student-t, and GLM likelihoods with ArviZ diagnostics and LOO-CV.
Analyze audio recording quality - echo detection, loudness, speech intelligibility, SNR, spectral analysis. Use when the user wants to check a recording's quality, detect echo or duplication in audio files, measure speech clarity, compare original vs processed audio, diagnose why a recording sounds bad, or analyze audio tracks from Blackbox or any call recording app. Triggers on audio quality, recording analysis, echo detection, check recording, sound quality, analyze audio, speech quality, PESQ, STOI, loudness, SNR, audio diagnostics, recording sounds bad, echo in recording, audio duplication.
Use this skill when diagnosing, configuring, or monitoring NICs for AF_XDP / XDP workloads. Covers driver detection, hardware queue configuration, ring buffer sizing, RSS indirection table management, interrupt coalesce tuning, offload control (GSO/GRO/TSO/LRO), VLAN offloads, Flow Director (FDIR) rules with loc pinning and ixgbe wipe bug workaround, RPS/XPS queue CPU mapping, sysctl network tuning, CPU core pinning and NUMA awareness, hardware queue and drop monitoring, softirq and rx_missed_errors analysis, BPF program inspection with bpftool (prog dump xlated, net show), kernel tracing via ftrace and dmesg, perf profiling and flamegraphs, IRQ-to-queue-to-core mapping, bonding interface diagnostics, socket inspection, and a quick diagnostic checklist.