run-profiler
Profiles Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.
A command is the one you type. It runs exactly when you ask it to, and never before.
1,549 commands across 626 plugins.
Profiles Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.
A simple, powerful system that helps you organize and track your development work. Think of it as your personal project assistant that breaks down big ideas…
Configure and initialize a project following the Product as Code specification for structured, version-controlled product management
Create a new epic following the Product as Code specification with guided workflow
Convert a Claude Code or Codex session JSONL file into an animated replay of the conversation. Supports GIF, MP4, and WebM output formats. Auto-detects the…
Convert the current session's work into a shareable blog post, case study, or social thread.
Create a new ticket within an epic following the Product as Code specification
Update ticket status and track progress in Product as Code workflow
Validate Product as Code project structure and files for specification compliance
Audit shell scripts for correctness, safety, and portability.
View recent skill executions with full context and error details for review.
Build a project skill library under .claude/skills/ as a resumable mission: discover, author in parallel, review adversarially.
Validate and package a Claude Code Skill into a distributable zip file
Orchestrated parallel implementation of complex features using multiple agents, with dependency-aware batching and synchronized progress tracking.
Deploy specialized AI agents to work on multiple tasks simultaneously while maintaining coordination and task tracking. This command can reduce development…
View and manage skill execution memories stored by memory-palace.
Analyze skill execution metrics and identify unstable or underperforming skills using continual learning analysis.
Audit skill quality, frontmatter compliance, token efficiency, and activation reliability. Recommends improvements.
Display comprehensive help documentation for the `/parallel-tasks` command including usage examples, options, agent types, and best practices for deploying…
Create specs from project briefs with acceptance criteria and testable requirements
Cross-artifact consistency analysis across spec.md, plan.md, and tasks.md after task generation
Generate a custom checklist for the current feature based on user requirements.
Create/update project constitution from principle inputs, syncing dependent templates
Assess the codebase against spec, plan, and tasks, then append unbuilt work as new convergence tasks
Simulate project outcomes with variable modeling, risk assessment, and resource optimization scenarios.
Rapid spec development for simpler tasks. Deep codebase analysis with opinionated recommendations and max 10 targeted questions. Use instead of…
Execute the implementation plan by processing all tasks from tasks.md
Execute implementation planning from spec to generate design artifacts.
Create or update the feature specification from a natural language feature description.
Validate the logical consistency and coherence of reasoning chains to ensure sound conclusions.
Analyze the logic flow direction (λ_observe) to understand reasoning patterns and identify potential issues.
Bootstrap spec-driven development workflow at the start of a session
Generate dependency-ordered tasks.md from design artifacts
Execute parallel reasoning exploration across multiple solution paths to find optimal approaches.
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