Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Use when users need to debug, modify, or extend the code-forge application's CLI commands, argument parsing, or CLI behavior. This includes adding new commands, fixing CLI bugs, updating command options, or troubleshooting CLI-related issues.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill provides a systematic workflow for debugging and verifying changes to the forge CLI application.
--help to see current commands and options-p for testing: Test forge by giving it tasks with the -p flagAlways build in debug mode after making changes:
cargo build
Never use cargo build --release for debugging - it's significantly slower and unnecessary for verification.
Always start by checking the latest help to understand current commands and options:
# Main help - do this first
./target/debug/forge --help
# Command-specific help
./target/debug/forge [COMMAND] --help
# Subcommand help
./target/debug/forge [COMMAND] [SUBCOMMAND] --help
-p FlagUse the -p flag to give forge a task to complete without interactive mode:
# Test with a simple prompt
./target/debug/forge -p "create a hello world rust program"
# Test with specific functionality
./target/debug/forge -p "read the README.md file and summarize it"
# Test with complex tasks
./target/debug/forge -p "analyze the code structure and suggest improvements"
When debugging prompts or conversation issues, use conversation dump to export conversations. The command automatically creates a timestamped file:
# Dump conversation as JSON (creates: YYYY-MM-DD_HH-MM-SS-dump.json)
./target/debug/forge conversation dump <conversation-id>
# Export as HTML for human-readable format (creates: YYYY-MM-DD_HH-MM-SS-dump.html)
./target/debug/forge conversation dump --html <conversation-id>
# Use dumped JSON to reproduce issues
./target/debug/forge --conversation 2025-11-23_12-28-52-dump.json
Critical: When a user provides a conversation with a bug, always clone it first:
# Clone the conversation
./target/debug/forge conversation clone <source-conversation-id>
# This creates a new conversation ID - use that for testing
./target/debug/forge --conversation-id <new-cloned-id>
# Keep cloning the source until the fix is verified
# Never modify the original conversation
Why clone?
# Build and test new command
cargo build
./target/debug/forge --help # Verify new command appears
./target/debug/forge new-command --help # Check command docs
./target/debug/forge -p "test the new feature"
# 1. Dump the conversation (creates timestamped JSON file)
./target/debug/forge conversation dump <bug-conversation-id>
# 2. Clone it for testing (preserves original)
./target/debug/forge conversation clone <bug-conversation-id>
# 3. Reproduce with the cloned conversation
./target/debug/forge --conversation-id <cloned-id> -p "reproduce the issue"
# 4. After fix, verify with new clone
./target/debug/forge conversation clone <bug-conversation-id>
./target/debug/forge --conversation-id <new-clone-id> -p "verify fix"
# Test with missing arguments
./target/debug/forge command
# Test with invalid input
./target/debug/forge -p "invalid task with special chars: <>|&"
# Test with boundary values
./target/debug/forge -p "create a file with a very long name..."
# 1. Dump conversation to analyze prompts (creates timestamped JSON)
./target/debug/forge conversation dump <id>
# 2. Review the conversation structure
cat 2025-11-23_12-28-52-dump.json | jq '.messages[] | {role, content}'
# 3. Export as HTML for easier reading
./target/debug/forge conversation dump --html <id>
# 4. Test modified prompts
./target/debug/forge -p "your optimized prompt here"
cargo build./target/debug/forge --help (verify documentation)./target/debug/forge -p "relevant task"./target/debug/forge conversation clone <source-id>cargo build (with potential fixes)./target/debug/forge --conversation-id <cloned-id> -p "reproduce"# Standard debug workflow
cargo build
./target/debug/forge --help # Always check docs first
./target/debug/forge -p "your test task"
# Dump conversation (creates timestamped file)
./target/debug/forge conversation dump <id>
# Output: 2025-11-23_12-28-52-dump.json
# Export as HTML for review
./target/debug/forge conversation dump --html <id>
# Output: 2025-11-23_12-28-52-dump.html
# Use dumped conversation
./target/debug/forge --conversation 2025-11-23_12-28-52-dump.json
# Clone and test bug
./target/debug/forge conversation clone <source-id>
./target/debug/forge --conversation-id <cloned-id> -p "reproduce bug"
# Debug prompts with jq (use actual filename)
cat 2025-11-23_12-28-52-dump.json | jq '.messages[] | {role, content}'
# Test with verbose output
./target/debug/forge --verbose -p "test task"
--help first: Get latest docs before testing-p for testing: Don't test interactively, use promptsdump automatically creates timestamped files (no > needed)--html flag for human-readable conversation views./target/debug/forge from project rootecho $? to verify exit codesまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。