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Found 364 Skills
ESP32 firmware engineering for ESP-IDF projects. Write, review, and debug embedded C/C++ code involving FreeRTOS tasks/queues/timers, GPIO/I2C/SPI/UART/ADC/PWM peripherals, TWAI/CAN, Wi-Fi/BLE networking, OTA updates, Secure Boot and flash encryption, LVGL display integration, build/flash/monitor workflows, logging, crash analysis, memory/code-size optimization, low-power sleep/wakeup design, on-device USB/serial service terminals, and board bring-up. Use when an agent is asked to implement ESP-IDF firmware features, review embedded changes for correctness or race conditions, investigate boot/runtime failures or Guru Meditation panics, interpret serial logs, fix build/link/flash problems, optimize RAM/flash usage, tune deep sleep/light sleep behavior, harden firmware for production, add a service console/CLI, integrate a display with LVGL, or diagnose hardware-software integration issues on ESP32-class devices.
Standardized error handling patterns with classification, recovery, and logging strategies. error handling, error recovery, graceful degradation, resilience.
Automation skill for designing, verifying, and improving auth, cost, logging, and security compliance based on the internal AI tool mandatory implementation guide (P0/P1). Supports the full lifecycle of RBAC design, Gateway principles, Firestore policy, behavior logs, cost transparency, and the criteria verification system.
Log what you built (text, images, commits, branches); get LinkedIn, X, Reddit, and standup copy in one go. Stores structured daily logs (logs/YYYY-MM-DD.md) and generates platform-ready drafts (posts/). Use when the user wants to log this, log my day, turn my log into a post, post ideas from my logs, standup from my logs, or drafts for LinkedIn / X / Reddit. Use this skill whenever the user mentions logging their day, turning notes or chat into posts, standup notes, or generating LinkedIn/X/Reddit from dev activity, even if they don't name the skill. Messages that start with "Log: " (with a space) are log requests: log the rest of the message.
Use this skill when implementing logging, metrics, distributed tracing, alerting, or defining SLOs. Triggers on structured logging, Prometheus, Grafana, OpenTelemetry, Datadog, distributed tracing, error tracking, dashboards, alert fatigue, SLIs, SLOs, error budgets, and any task requiring system observability or monitoring setup.
Logback - flexible and powerful logging framework for Java and Spring Boot applications. Successor to Log4j with native SLF4J support, async logging, and automatic file rotation. USE WHEN: user mentions "logback", "spring boot logging", "java logging configuration", asks about "logback-spring.xml", "rolling file appender", "async logging in java" DO NOT USE FOR: SLF4J API usage - use `slf4j` instead, Log4j2 - use separate Log4j2 skill, Node.js logging - use `winston` or `pino` instead, Python logging - use `python-logging` instead
End-to-end cold email outreach orchestration. Handles goal alignment, lead selection from Supabase, sequence design, email generation (via email-drafting), campaign setup in the user's chosen outreach tool, and logging. Tool-agnostic — supports Smartlead (default), Instantly, Lemlist, Apollo, or manual CSV export.
Integrates OpenTelemetry tracing, metrics, and logging into iii workers. Use when setting up distributed tracing, Prometheus metrics, custom spans, or connecting to observability backends.
Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider suggesting Logfire.
Node.js/Bun backend reference skill: TypeScript-first, structured error handling, pino logging, Zod validation, async patterns, HTTP server conventions, database access, auth, queues, caching, testing, security, CLI tooling, and observability. Covers both Node.js and Bun runtimes. Use when the task touches server-side TypeScript/JavaScript code and should follow the project's backend conventions.
Registers engine-level middleware functions that run before HTTP handlers. Use when adding authentication, request logging, rate limiting, or any pre-handler logic to HTTP endpoints.
Use this as the main Claude Scholar skill for a vault-first, project-scoped Obsidian research knowledge base rooted at Research/{project-slug}/. It owns bootstrap, routing, daily logging, hub/plan/index maintenance, registry updates, lifecycle actions, and lint orchestration.