Discover Agent Skills for productivity & workflow. Browse 170skills for Claude, ChatGPT & Codex.
Orchestrates multi-agent swarms for parallel task execution and persistent learning capture within OpenCode workflows.
Generates structured implementation plans and granular task breakdowns using the Flow-Next architecture.
Refines project specifications and implementation details through exhaustive, automated technical interviews within Claude Code.
Executes complex development plans systematically through structured task tracking, quality gates, and automated git workflows.
Executes technical plans and epic issues systematically with automated git workflows, task tracking, and quality gates.
Manages structured development tasks and epics within the .flow directory to enable plan-first AI coding workflows.
Scaffolds a repo-local autonomous agent harness for long-running, plan-first AI development loops.
Installs the flowctl CLI and standardized project documentation to enable plan-first AI coding workflows across multiple tools.
Conducts deep technical interviews to extract exhaustive implementation details and refine feature specifications before coding.
Generates structured implementation plans and work breakdowns from natural language descriptions or issue IDs.
Explores and maps complex codebases with high token efficiency using integrated RepoPrompt CLI commands.
Generates creative domain name suggestions and checks live availability across multiple TLDs to streamline project branding.
Transforms vague feature requests into actionable Product Requirements Documents (PRDs) through systematic, score-based clarification dialogue.
Refactors bloated agent instruction files into an organized, multi-file structure using progressive disclosure principles.
Standardizes and automates the creation of custom Claude Code slash commands for reusable development workflows.
Identifies high-leverage product improvements and 10x growth opportunities through structured strategic analysis.
Orchestrates a comprehensive multi-step planning process to transform high-level requirements into detailed, executable technical specifications.
Minimizes total codebase size by prioritizing code deletion and radical simplification over incremental changes.
Generates professional daily standup updates by combining automated activity tracking with an interactive interview process.
Generates comprehensive context documents to seamlessly transfer development sessions between AI agents without losing progress.
Extends Claude's reasoning by connecting conversations to a persistent, hierarchical knowledge tree for augmented cognition.
Explores and maps complex codebases using AST analysis to provide high-level structural insights while minimizing token consumption.
Automates Benchling R&D platform operations including registry management, lab notebook entries, and inventory tracking via the Python SDK.
Programmatically create, edit, and analyze PowerPoint presentations using automated design workflows and XML-level precision.
Automates task delegation to cost-optimized or high-reasoning AI models using the CCS CLI directly within your workflow.
Provides standardized LaTeX templates and formatting guidelines for major scientific journals, academic conferences, research posters, and grant proposals.
Implements a structured software engineering workflow for comprehensive requirement analysis, technical architecture design, and systematic task execution.
Automates the end-of-session workflow by analyzing code changes, updating documentation, and suggesting follow-up tasks using multi-agent intelligence.
Transforms ambiguous or vague project requirements into precise, actionable specifications through structured iterative questioning.
Analyzes and extracts actionable insights from Claude Code session history to recover past discussions and workflows.
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