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Found 1,433 Skills
Conduct root cause analysis using the Five Whys technique. Use when investigating problems, debugging issues, understanding failures, analyzing churn, or finding the underlying cause of any issue.
Applies a modified Fagan Inspection methodology to systematically resolve persistent bugs and complex issues. Use when multiple previous fix attempts have failed repeatedly, when dealing with intricate system interactions, or when a methodical root cause analysis is needed. Do not use for simple troubleshooting. Triggers after multiple failed debugging attempts on the same complex issue.
Odoo 17.0 full-stack development skill for AI agents. Covers backend module architecture, ORM models and fields, API decorators, recordset operations, actions, performance patterns, testing, and built-in mixins. Use when building, extending, or debugging Odoo 17.0 custom modules. Triggers on tasks involving __manifest__.py, models.Model, @api decorators, XML views, ir.actions, ir.cron, mail.thread, or any Odoo 17.0 framework pattern.
Claude Code settings file hierarchy, permission wildcards, and configuration patterns. Use when setting up project permissions, debugging settings issues, or understanding why certain tools are allowed or blocked.
Browser automation via Puppeteer CLI scripts (JSON output). Capabilities: screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing. Actions: screenshot, scrape, automate, test, profile, monitor, debug browser. Keywords: Puppeteer, headless Chrome, screenshot, PDF, web scraping, form fill, click, navigate, network traffic, performance audit, Lighthouse, console logs, DOM manipulation, element selector, wait, scroll, automation script. Use when: taking screenshots, generating PDFs from web, scraping websites, automating form submissions, monitoring network requests, profiling page performance, debugging JavaScript, testing web UIs.
Use skill if you are testing MCP servers with philschmid/mcp-cli, inspecting tools, calling them, or debugging config, transport, auth, and arguments.
Claudeception is a continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /claudeception command to review session learnings, (2) "save this as a skill" or "extract a skill from this", (3) "what did we learn?", (4) After any task involving non-obvious debugging, workarounds, or trial-and-error discovery. Creates new Claude Code skills when valuable, reusable knowledge is identified.
OpenOCD skill for embedded hardware debugging. Use when configuring OpenOCD for JTAG or SWD targets, flashing firmware, connecting GDB to bare-metal targets, setting hardware watchpoints, or using J-Link with OpenOCD. Activates on queries about OpenOCD, JTAG, SWD, GDB remote target, flash programming, hardware breakpoints, J-Link, or connecting GDB to an MCU.
Use when an agent is writing, debugging, or updating code against Apple frameworks and needs local Xcode documentation to resolve compile errors, discover the right symbols, check API shape or availability, confirm usage patterns, or inspect related articles and topics for newly released SDK features.
Provides up-to-date documentation and version guidance for external libraries. Use when working with any third-party library (JS, Python, Ruby, Go, .NET, etc.), when the user asks about a library-specific API or best practice, when debugging a dependency issue, or when installing or upgrading a dependency. Prefer this over guessing or relying on stale knowledge.
Runs Fastly Compute WASM applications locally with Viceroy, specifically for Rust and Component Model projects. Use when starting a local Fastly Compute dev server with Viceroy, configuring fastly.toml for local backend overrides and store definitions, running Rust unit tests with cargo-nextest against the Compute runtime, debugging Compute apps locally, adapting core WASM modules to the Component Model, or troubleshooting local Compute testing issues (connection refused, missing backends, store config). For non-Rust Compute work or understanding the Compute API, prefer the fastlike skill instead — its source code is easier to understand as a Fastly Compute API reference.
Dispatch independent subagents in parallel for unrelated problems spanning different subsystems. Use when 2+ failures have independent root causes, multiple subsystems are broken independently, or user requests concurrent investigation. Use for "parallel", "multiple failures", "independent bugs", "fix these concurrently". Do NOT use for related failures, shared-state problems, or exploratory debugging where root cause is unknown.