Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Automatically activates a deep analytical framework to solve complex architectural challenges, elusive bugs, and performance bottlenecks.
Enforces a disciplined protocol for discovering and invoking Claude Code skills before any task or response.
Streamlines parallel development by managing Git worktrees with standardized naming conventions and efficient cleanup protocols.
Streamlines complex software implementation by executing pre-written plans in structured, reviewable batches.
Selects fair, unbiased winners from lists, spreadsheets, and Google Sheets for giveaways and contests using secure randomness.
Organizes files and folders intelligently by understanding context, finding duplicates, and automating digital workspace cleanup.
Removes AI-generated verbosity, conversational fillers, and redundant technical content to improve information density.
Facilitates iterative dialogue to transform abstract ideas into structured technical designs and specifications before implementation begins.
Enhances AI response quality by up to 115% using research-backed techniques like persona assignment and stakes-based framing.
Automates repetitive development cycles through continuous iteration loops with verifiable completion criteria.
Automates multi-step development tasks through a structured iteration loop until objective success criteria are met.
Maintains high-quality AI knowledge bases by refining, obsolescing, and linking contextual memories to prevent information rot.
Transforms ambiguous user input into high-precision, structured TCRO prompts to maximize AI output quality and consistency.
Enhances AI response quality by 45-115% through research-backed techniques like expert personas and stakes-based framing.
Automates repetitive development tasks through a continuous iteration loop with clear, verifiable completion criteria.
Authenticates Claude with Google Services using OAuth to manage access tokens for integration plugins.
Navigates complex networks of memories, entities, and relationships to provide deep context for AI-driven tasks.
Automates repetitive development tasks through a continuous iteration loop with objective completion criteria and safety caps.
Boosts AI response quality by 45-115% using research-backed incentive framing and expert persona techniques.
Transforms vague user inputs into highly structured, high-performance specifications using the TCRO framework and phase-specific clarification.
Transforms vague user inputs into structured, high-performance prompts using the TCRO framework and phase-specific clarification.
Orchestrates multi-phase research across codebases and documentation to provide evidence-backed insights and architectural synthesis.
Removes AI-generated verbosity, conversational fillers, and redundant comments to improve information density and clarity.
Implements a continuous iteration loop pattern for autonomous development and automated verification tasks.
Transforms vague user inputs into highly structured, actionable TCRO prompts to maximize AI response quality and accuracy.
Automates repetitive development tasks through a continuous iteration loop with objective completion criteria and safety guards.
Removes AI-generated verbosity, conversational filler, and redundant code comments to improve information density.
Transforms vague user input into highly structured, TCRO-formatted prompts to maximize AI output quality and consistency.
Transforms vague user inputs into structured TCRO specifications to maximize AI output quality and consistency.
Orchestrates multi-phase investigations across codebases, documentation, and external sources to generate evidence-based insights.
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