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Documentation AI Skills

Discover Documentation skills, compare source repositories and read the instructions for each workflow.

Categories: Documentation

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GitHub

using-systems-thinking

tachyon-beep

Router for systems thinking methodology - patterns, leverage points, archetypes, stocks-flows, causal loops, BOT graphs

GitHub

using-software-engineering

tachyon-beep

Use when facing complex engineering challenges that require systematic methodology - horrible bugs, safe refactoring, code review, production incidents, technical debt decisions, or building confidence in unfam...

GitHub

using-deep-rl

tachyon-beep

Routes to appropriate deep-RL skills based on problem type and algorithm family

GitHub

using-system-architect

tachyon-beep

Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skill...

GitHub

sme-agent-protocol

tachyon-beep

Mandatory protocol for all SME (Subject Matter Expert) agents. Defines fact-finding requirements, output contracts, confidence/risk assessment, and qualification of advice.

GitHub

using-quality-engineering

tachyon-beep

Use when user asks about E2E testing, performance testing, chaos engineering, test automation, flaky tests, test data management, or quality practices - routes to specialist reference sheets with deep expertise...

GitHub

retail-agent-customizer

lavinigam-gcp

Customize the retail agent for different use cases. Use when adapting for different business types, industries, or output formats, or when modifying prompts, adding verticals, or changing the analysis focus.

GitHub

adk-debugger

lavinigam-gcp

Troubleshoot ADK errors and issues. Use when encountering API errors, model overloaded errors, state issues, tool failures, authentication problems, or unexpected agent behavior.

GitHub

retail-agent-learner

lavinigam-gcp

Learn ADK concepts and understand the retail agent pipeline. Use when asking how the agent works, what ADK is, wanting to understand the architecture, state flow, or individual agent purposes.

GitHub

adk-tool-builder

lavinigam-gcp

Guide for creating custom ADK tools. Use when adding new function tools, working with ToolContext, saving artifacts, or integrating external APIs into the agent pipeline.

GitHub

adk-agent-builder

lavinigam-gcp

Guide for adding new agents to the ADK pipeline. Use when creating a new LlmAgent, SequentialAgent, or ParallelAgent, or when extending the pipeline with additional processing stages.

GitHub

shodh-cloudflare

doobidoo

Persistent memory system for AI agents running on Cloudflare's edge network. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when yo...

GitHub

verdex-playwright-complete

verdexhq

Complete Playwright test authoring workflow with Verdex MCP tools. Three phases - explore apps interactively to map user journeys, build stable role-first selectors via progressive DOM exploration, write idioma...

GitHub

overflow

poliha

Write technical Q&A responses as markdown files to Claude Overflow. Use for programming questions, code explanations, debugging help, API usage. The response becomes a permanent archived answer viewable in a we...

GitHub

outlook-automation

gmickel

Automates reading, searching, drafting, and sending emails AND calendar events in Classic Outlook on Windows using local COM automation. Use this skill when the user asks to process Outlook emails, create draft...

GitHub

quest-keeper-frontend

Mnehmos

Frontend development skill for Quest Keeper AI Tauri application. Use when working on React components, Zustand stores, Three.js battlemaps, TailwindCSS styling, or Tauri shell integration. Triggers on mentions...

GitHub

tdd-playtest

Mnehmos

Test-Driven Development combined with emergent playtesting for Quest Keeper AI. Use when running playtest sessions, writing tests, debugging game feel issues, or following the RED-GREEN-REFACTOR cycle.

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.

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