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Falkicon AI Skills

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Browse published AI skills maintained by Falkicon. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

16

Repository stars across indexed skills

135

Repository forks

15

Average repository stars per indexed skill

8

Repository stars may repeat across skills from the same repository.

16 skills

Browse skills

GitHub

k-ecosystem

Falkicon

Context for the Mechanic/Fen WoW addon development ecosystem. Covers all components (Mechanic, FenCore, FenUI, MechanicLib), their relationships, and AFD principles. Load this at the start of addon work. Trigge...

GitHub

s-lint

Falkicon

Ensure code quality using Luacheck linting and StyLua formatting. Covers common warnings, style rules, and auto-formatting. Use when checking code quality, fixing style issues, or preparing code for review. Tri...

GitHub

s-work

Falkicon

General-purpose skill for Mechanic/Fen ecosystem work. Covers ecosystem context, development tools, component overview, and AFD principles. Use for everyday addon work, exploration, or when unsure which special...

GitHub

s-clean

Falkicon

Find and remove dead code and stale documentation. Covers unused functions, orphaned files, dead links, and outdated references. Use for maintenance, pre-release cleanup, or codebase hygiene. Triggers: clean, d...

GitHub

s-debug

Falkicon

Diagnose and fix bugs using evidence-based investigation. Requires runtime evidence before fixes—never guess based on code alone. Covers hypothesis-driven debugging, instrumentation logging, Lua errors, taint i...

GitHub

k-fencore

Falkicon

Context for FenCore - the pure logic library for WoW addons. Covers utility functions, math helpers, table operations, and environment detection. Load this when working with FenCore or needing utility functions...

GitHub

k-mechanic

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Context for Mechanic - the WoW addon development hub. Covers the CLI, MCP server, dashboard, in-game modules, and MechanicLib. Load this for deep understanding of Mechanic tooling. Triggers: mechanic, mech, cli...

GitHub

k-create-skill

Falkicon

Meta knowledge for creating Claude skills. Provides templates, best practices, and patterns for building effective skills with routing tables and reference files. Load this when creating new skills or understan...

GitHub

k-docs

Falkicon

Index of Mechanic documentation with summaries and links. Load this to understand what documentation exists and where to find detailed information on specific topics. Triggers: docs, documentation, reference, g...

GitHub

s-test

Falkicon

Write and run unit tests for WoW addons using Busted and the Mechanic test framework. Covers test structure, mocking WoW APIs, and coverage analysis. Use when adding tests, fixing bugs with regression tests, or...

GitHub

k-fenui

Falkicon

Context for FenUI - the UI widget library for WoW addons. Covers frames, layouts, buttons, panels, and theming. Load this when building addon UI or working with FenUI widgets. Triggers: fenui, ui, widget, frame...

GitHub

s-research

Falkicon

Research WoW addon development topics using CLI tools, Blizzard UI source, and documentation. Covers API discovery, pattern research, and Ace3 usage. Use when investigating unfamiliar APIs, finding Blizzard pat...

GitHub

s-release

Falkicon

Prepare and execute an addon release, including version bumping, changelog updates, git tagging, and validation. Use when ready to publish a new version. Triggers: release, version bump, changelog, git tag, pub...

GitHub

s-audit

Falkicon

Comprehensive quality analysis for WoW addons. Combines security, complexity, deprecation, and dead code analysis into a single audit workflow. Triggers: audit, quality, analysis, review, check, scan.

GitHub

s-develop

Falkicon

Core WoW addon development patterns using Ace3 framework and Blizzard UI APIs. Covers event-driven design, SavedVariables, frame architecture, and API resilience. Use when building addons, designing systems, or...

GitHub

noisett

Falkicon

AI Brand Asset Generator with 25 commands for image generation, LoRA training, quality pipeline, and history management. Built with AFD principles.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.