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Found 1,323 Skills
Capture and persist lessons learned from a session to compound knowledge over time. Triggers on "/lessons-learned", "what did we learn", "save lessons", "update skills with what we learned", or at the end of a complex multi-session task. PROACTIVE USE: This skill should also be suggested or invoked (1) when resuming from context compaction (the previous context likely contained unrecorded lessons), (2) after resolving a non-trivial bug or debugging session, (3) after significant friction or failed approaches that yielded insight, (4) after a council-of-bots review that surfaced fixes. Identifies reusable patterns, bug fixes, workflow insights, and tool quirks, then persists them to the right places: auto-memory (project-specific), skill files (reusable across projects), or both.
Diagnose and fix Fireflies.ai common errors and exceptions. Use when encountering Fireflies.ai errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "fireflies error", "fix fireflies", "fireflies not working", "debug fireflies".
Use when implementing maps, annotations, search, directions, or debugging MapKit display/performance issues - SwiftUI Map, MKMapView, MKLocalSearch, clustering, Look Around
Auditing memory traces and debugging.
Network architecture, troubleshooting, and infrastructure patterns. Use when designing network topologies, debugging connectivity issues, configuring load balancers, DNS, or implementing network security.
Use when managing Oracle Autonomous Database on OCI, troubleshooting performance issues, optimizing costs, or implementing HA/DR. Covers ADB-specific gotchas, cost traps, SQL_ID debugging workflows, auto-scaling behavior, and version differences (19c/21c/23ai/26ai).
Senior End-to-End (E2E) Test Architect for 2026. Specialized in Playwright orchestration, visual regression testing, and high-performance CI/CD sharding. Expert in building resilient, auto-waiting test suites using the Page Object Model (POM), automated accessibility auditing (Axe-core), and deep-trace forensic debugging.
Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.
Comprehensive Python expertise covering language fundamentals, idiomatic patterns, software design principles, and production best practices. Use when writing, reviewing, debugging, or refactoring Python code. Triggers: Python, .py files, pip, uv, pytest, dataclasses, asyncio, type hints, or any Python library.
iOS debugging and troubleshooting skills. Used when users need to investigate and diagnose issues such as crashes, exceptions, runtime errors, memory leaks, memory growth, unreleased ViewController, UI lag, frame drops, slow startup, etc. Provides crash type identification, root cause analysis, LLDB commands and repair solutions.
Specialized skill for implementing proper error handling, logging, user-friendly error messages, and error recovery strategies. Use when implementing error handling in APIs, components, or when debugging error issues.
AArch64 and ARM assembly skill for reading and writing ARM assembly code. Use when reading GCC/Clang output for AArch64 or ARM Thumb targets, writing inline asm in C/C++, understanding the ARM ABI (AAPCS64/AAPCS), or debugging register and stack state on ARM hardware or QEMU. Activates on queries about AArch64 assembly, ARM Thumb, NEON/SVE SIMD, ARM calling convention, inline asm for ARM, or reading ARM disassembly.