chunking-strategy
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages…
Provides Qwen Coder CLI delegation workflows for coding tasks using Qwen2.5-Coder and QwQ models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Qwen for tasks such as code generation, refactoring,
Claude Code
$ npx -y skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder --agent claude-code
Codex
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a codex -y
Cursor
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a cursor -y
Gemini CLI
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a gemini-cli -y
GitHub Copilot
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a github-copilot -y
OpenCode
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a opencode -y
Windsurf
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill qwen-coder -a windsurf -y
name: qwen-coder description: Provides Qwen Coder CLI delegation workflows for coding tasks using Qwen2.5-Coder and QwQ models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Qwen for tasks such as code generation, refactoring, debugging, or architectural analysis. Triggers on "use qwen", "use qwen coder", "delegate to qwen", "ask qwen", "second opinion from qwen", "qwen opinion", "continue with qwen", "qwen session". allowed-tools: Bash, Read, Write
Delegate selected tasks from Claude Code to Qwen Coder CLI using non-interactive commands, explicit model selection, safe permission flags, and shareable outputs.
This skill standardizes delegation to Qwen Coder CLI (`qwen`) for cases where Qwen's specific strengths may benefit the task. It covers:
Use this skill only when delegation to Qwen Coder is explicitly requested or clearly beneficial.
Use this skill when:
Trigger phrases:
Verify tool availability and authentication before delegation:
# CLI availability qwen --version # Authentication status qwen auth status
If `qwen` is unavailable, inform the user and stop execution until Qwen Coder CLI is installed. If authentication is invalid, provide authentication setup instructions and stop execution.
Before running Qwen Coder:
If scope is ambiguous, ask for clarification first.
All delegated prompts to Qwen Coder CLI must be in English.
Build a precise English prompt from the user request.
Prompt quality checklist:
Prompt template:
Task: <clear objective> Context: <project/module/files> Constraints: <do/don't constraints> Expected output: <format + depth> Validation: <tests/checks to run or explain>
Preferred baseline command:
qwen -p "<english-prompt>"
Supported options:
Approval modes:
| Mode | Behavior | Recommended For | |------|----------|-----------------| | `plan` | Read-only analysis, no file modifications | Analysis-only tasks, security reviews | | `default` | Requires confirmation before modifications | General coding tasks | | `auto_edit` | Auto-approves edit operations | Trusted modifications with oversight | | `yolo` | Approves all operations without confirmation | Experimental tasks (explicit user request only) |
Safety guidance:
Run the selected command via Bash and capture stdout/stderr.
Examples:
# Default non-interactive delegation qwen -p "Analyze this code and suggest refactoring improvements." # Explicit model and approval mode qwen -p "Review authentication module for security issues with fixes." -m qwq --approval-mode plan # Continue previous session qwen -c <session-id> -p "Continue the refactoring from the previous session." # Structured output for automation qwen -p "Summarize key technical debt items as JSON array." --output-format json
This section covers how to present Qwen Coder output and when to request user confirmation.
When reporting Qwen Coder output:
Before applying any suggested modifications:
1. Present the proposed changes to the user in the output template format 2. Request explicit confirmation (for example: "Do you want me to apply these changes?") 3. Wait for user direction before proceeding 4. Do not auto-apply changes without user consent
Exception: In `--approval-mode yolo` with explicit user request, changes may proceed automatically. Still inform the user of what was done.
Each delegation result shall include the following metadata:
| Field | Description | |-------|-------------| | Task summary | What was delegated to Qwen Coder | | Command | The qwen command executed (without sensitive parameters) | | Model | Which model was used (for example qwen2.5-coder, qwq) | | Approval mode | The approval mode applied (plan, default, auto_edit, yolo) | | Key findings | Observations and results f
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages…
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought…
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation…
Provides AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups,…
Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails,…
Provides AWS CloudFormation patterns for CloudFront distributions, origins (ALB, S3, Lambda@Edge, VPC Origins), CacheBehaviors,…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.