skill-template
Template for creating Claude Code skills. Replace this description with a clear explanation of what this skill does and when it should be used. Be specific about triggers and use cases.
Template for creating Claude Code skills. Replace this description with a clear explanation of what this skill does and when it should be used. Be specific about triggers and use cases.
Technical mechanics for autonomous AI coding loops
Annual security report aggregation and analysis. USE WHEN annual reports, security reports, threat reports, industry reports, update reports, analyze reports, vendor reports, threat landscape.
Generate project assessment markdown documents from JSON data with WHY/WHO/WHAT sections and GO/NO-GO decision matrix.
Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown
ETL workflow patterns, data pipeline architecture, and ingestion strategies for Somali dialect classifier. Covers source integration, transformation logic, staging patterns, and load strategies. Auto-invokes when discussing data pipelines, ETL, ingestion workflows, or data processing architecture.
Run Gemini CLI commands from Claude with correct Node version. Use when user asks to run Gemini CLI, test Gemini traces, or debug Gemini telemetry.
🎯 TaskMaster Context Writer - 自動將 Agent 報告強制寫入 .claude/context/ 目錄
WCAG AA accessibility checklist and verification protocols for Somali dialect classifier dashboard. Covers keyboard navigation, screen readers, color contrast, ARIA labels, and accessibility testing procedures.
Run Claude Code in headless/programmatic mode for automation, CI/CD, and agent workflows. Use when user asks about headless mode, programmatic execution, scripting Claude, or automating Claude workflows.
Guide for creating effective skills with UV + justfile structure. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations. Skills include PEP 723 compliant Python scripts managed via justfile for consistent execution.
AI-augmented software engineering workflow based on Addy Osmani's methodology. Implements structured planning, chunked implementation, extensive context provision, strategic model selection, human oversight, granular commits, and continuous learning. Treats LLMs as pair programmers requiring clear direction rather than autonomous agents.
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.
Create reusable agent skills for OpenCode with proper structure, frontmatter, and validation
Test, validate, and add new AI models to the eval suite. Use when user asks to add new models, test model access, check pricing, or update models.yml.
Low-resource NLP techniques specific to Somali language processing. Covers data scarcity strategies, cross-lingual transfer, morphological analysis, data augmentation for Somali, semi-supervised learning, and evaluation considerations for low-resource contexts. Auto-invokes when working on Somali NLP, low-resource language challenges, dialect classification, or language-specific modeling decisions.
Authoritative templates and scaffolding for creating agent system prompts (primary agents and subagents). This skill should be used when creating new agents, reviewing existing agent prompts for template compliance, verifying agent structure, or extracting knowledge into agent prompts. Contains YAML templates with section-by-section instructions and scaffolding scripts for generating skeleton files.