product-strategist
Strategic leadership toolkit for Heads of Product. Generate OKR cascades, conduct quarterly planning, perform competitive analysis, define product vision, and build team scaling proposals.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
384 skills found
Strategic leadership toolkit for Heads of Product. Generate OKR cascades, conduct quarterly planning, perform competitive analysis, define product vision, and build team scaling proposals.
Fetches Confluence PRDs and transforms them into structured local Markdown for the spec-kit specify workflow, bridging PO handoffs into technical SDD implementation.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.
A specialized Git assistant for executing safe interactive rebases, managing commit history, and resolving merge conflicts with automated safety backups.
Package Castella UI applications into cross-platform executables, macOS app bundles, or installers using ux, PyInstaller, or Nuitka. Includes code signing and notarization support.
Configure and optimize Nx monorepo workspaces. Use for project boundaries, build caching, library organization, and implementing affected commands.
Build Claude Code extensions: skills, agents, hooks, plugins, and slash commands. Includes builder agents for autonomous component creation and structure management.
Manage git worktrees for parallel development, including creation, listing, and deletion with automated port and environment isolation.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).